Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Tandem quadrupole inductively coupled plasma mass spectrometry for the quantitative and isotopic analysis of rare earth elements and radionuclides

Yanbei Zhu *a, Guosheng Yang b, Aya Sakaguchi c, Tsutomu Miura a, Yasuyuki Shikamori ad and Jian Zheng *b
aNational Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8563, Japan. E-mail: yb-zhu@aist.go.jp
bNational Institutes for Quantum Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba-shi 263-8555, Japan. E-mail: zheng.jian@qst.go.jp
cUniversity of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan
dTohoku University, 2145-2, Narita-cho, Oarai-machi, Higashiibaraki-gun, Ibaraki 311-1313, Japan

Received 14th November 2024 , Accepted 21st February 2025

First published on 3rd April 2025


Abstract

Tandem quadrupole inductively coupled plasma mass spectrometry (ICP-QMS/QMS) provides an effective approach for separating spectral interferences without sacrificing the signal intensity due to the increased requirement for mass resolution. This feature is especially important for the analysis of rare earth elements (REEs) and radionuclides, the accurate and precise measurement of which usually suffer from severe spectral interferences. The present review covers the advances and applications of ICP-QMS/QMS in the analysis of rare earth elements and radionuclides reported in around 150 articles since 2012, when the first commercially available ICP-QMS/QMS was released. Specifically, the strategies for separating spectral interferences are highlighted, including chemical separation prior to the analysis, reaction cell technique in ICP-QMS/QMS measurement, and post-analysis mathematical correction. Subsequently, the improvements in the analytical figures of merits are summarized along with the major advancements, focusing on REEs and radionuclides of Cs, I, Sr, U and Pu. Finally, the challenges and potential solutions to address them in future works are presented.


image file: d4ja00409d-p1.tif

Yanbei Zhu

Yanbei Zhu is a Chief Senior Researcher at the National Metrology Institute of Japan (NMIJ) and National Institute of Advanced Industrial Science and Technology (AIST), Japan. Yanbei received his PhD in March 2005 from Nagoya University, where he worked as a Postdoc Fellow from April 2005 to March 2007. He joined NMIJ/AIST in April 2007 and started research on the development of certified reference materials (CRMs) and related techniques for elemental analysis in food and environmental samples. Yanbei's work is focused on quantitative elemental analysis based on ICP-MS-related techniques and the development of devices and instruments for the sample pretreatment process and on-site analysis.

image file: d4ja00409d-p2.tif

Guosheng Yang

Guosheng Yang obtained his PhD in Bioinorganic Chemistry from the Institute of High Energy Physics, Chinese Academy of Sciences in 2012. He currently works as a Senior Researcher at the National Institutes for Quantum Science and Technology, Japan. His research interests are focused on the method development and application of radiometric and mass spectrometric instruments for radionuclides, especially actinides in environmental and bioassay samples. Owing to his achievement in the field of radionuclide analysis for dose assessment, he received the Young Nuclear Professional-Early Career Award in 2022 and Encouragement Award from the Japan Society of Nuclear and Radiochemical Sciences in 2024.

image file: d4ja00409d-p3.tif

Aya Sakaguchi

Aya Sakaguchi is a Professor of Radiochemistry/Radioscience in the Institute of Pure and Applied Sciences at University of Tsukuba, Japan. She received her PhD (Sci) in 2007 from Kanazawa University. She specializes in the analysis of natural and artificial radionuclides in environmental samples. Samples are collected via field surveys and chemically processed and analysed for target radionuclides using radiometry and mass spectrometry. Her recent work includes challenging topics such as laboratory tracer experiments to elucidate elemental cycling in surface environments using accelerator-produced short half-life radionuclides and spike production for the measurement of long half-life actinides in the environment.

image file: d4ja00409d-p4.tif

Tsutomu Miura

Tsutomu Miura is a Chief Senior Researcher at the National Metrology Institute of Japan (NMIJ) and National Institute of Advanced Industrial Science and Technology (AIST), Japan. He received his PhD (Sci) from Tokyo Metropolitan University in 2003. His work at NMIJ/AIST is focused on the development of certified reference materials for Inorganic Analysis using classical methods (gravimetric analysis and titration) and instrumental analytical methods (ICP-OES, ICP-MS, and neutron activation analysis).

image file: d4ja00409d-p5.tif

Yasuyuki Shikamori

Yasuyuki Shikamori is an Academic Researcher in the Institute for Materials Research at Tohoku University and in the Geoinformation Research Division of the National Institute of Advanced Industrial Science and Technology (AIST). He received his MSc from Tokyo University of Science in 1988. After engaging in research on trace and ultra-trace elemental analysis techniques for semiconductor and electronic materials at UBE Corporation until 2006, he worked as a Senior Application Chemist at Agilent Technologies until 2022, where he was engaged in hardware and application development. Currently, he is focused on instrument and application development and human resource development for high-sensitivity radionuclide analysis using ICP-MS(/MS) at Tohoku University.

image file: d4ja00409d-p6.tif

Jian Zheng

Jian Zheng graduated from Fudan University (China) in 1987 and obtained his PhD in Environmental Analytical Chemistry from Karl-Franzens University, Austria in 1998. He currently works as a Senior Principal Researcher at the National Institute for Quantum Science and Technology, Japan. He has published >170 research articles in international journals. His research interests are focused on the development and application of mass spectrometric techniques for trace element/radionuclide speciation, isotope ratio measurement, environmental behavior of radionuclides, and radiation protection. He received an NIRS Research Award in 2009 and the Society Award from the Japan Society of Nuclear and Radiochemical Sciences in 2015.


1 Introduction

Tandem quadrupole inductively coupled plasma mass spectrometry (ICP-QMS/QMS) with a collision/reaction cell (CRC) exhibits excellent performance in elemental and isotopic analysis since its commercial availability in 2012 (initially issued as Agilent 8800 by Agilent Technologies).1

The powerful ionization capability of high-temperature argon plasma provides high sensitivity for elemental analysis, but it causes severe spectral interferences due to the ionization of argon gas and solvent contents and the coexisting elements in the samples. CRC provides an excellent solution for spectral interference in single quadrupole (SQ-) ICP-MS.2 However, one of the problems associated with the reaction cell in SQ-ICP-MS is the complexity of reactions occurring in it due to the enormous amount of ionic species generated by the argon plasma. In ICP-QMS/QMS, the introduction of a quadrupole mass filter in front of the CRC limits the ions passing into the CRC, greatly simplifying the reactions between the ions and gas molecules. An ion of interest can be measured in the so-called on-mass mode or mass-shift mode using ICP-QMS/QMS.2 In the case of on-mass mode measurement, an ion is measured as its initial species by monitoring its initial mass-to-charge ratio (i.e. m/z) at the second quadrupole, for which the m/z is set to be identical to that for the first quadrupole (e.g. m/z = 139 for both quadrupoles to permit the passage of 139La+). By contrast, in mass-shift mode measurement, the measurement of an ion at the second quadrupole is conducted by monitoring a multi-atomic species generated in the CRC, where the m/z for the second quadrupole is set to a value higher than that for the first quadrupole (e.g. m/z = 139 and m/z = 155 for the first and the second quadrupoles to permit the passage of 139La+ and 139La16O+, respectively).

Lanthanides are usually referred to as rare earth elements (REEs) together with Sc and Y. Although fractionations among REEs occur in the environment, they essentially have similar behavior and are usually found together in natural samples owing to the similarity in their physicochemical properties.3 As a result, the fractionation of REEs based on their concentration in a sample can help understand its chemical property and history. However, the measurement of heavier (with a larger m/z) REEs (e.g. 155Gd and 165Ho) usually suffers from spectral interference of lighter REEs (e.g. 139La16O and 149Sm16O, respectively). The application of ICP-QMS/QMS has been shown to be effective to reduce this type of spectral interferences.1

Long and medium half-life radionuclides have also attracted significant attention in the application of ICP-QMS/QMS.4 This can be attributed to its excellent capability for separating spectral interferences. Most radionuclides of interest exist in extremely low concentrations, sometimes even lower than 10−10 g mL−1 (or g g−1). Consequently, the measurement of these low concentrations of radionuclides by ICP-MS often suffer spectral interferences from much higher concentrations (over 106-fold that of radionuclides) of coexisting stable or long-lived radioactive isotopes.

Thus far, numerous reviews have been published on the application of ICP-QMS/QMS; however, none focused on REEs and radionuclides.2–11 Thus, the present review concentrates on the application of ICP-QMS/QMS for the measurement of REEs and radionuclides published to date. There are two major reasons why we combined REEs and radionuclides in the present work. Firstly, REEs are often studied together with two radionuclides, i.e. U and Th; secondly, spectral interferences from co-existing elements/isotopes can be critical in the measurement of both REEs and radionuclides. Accordingly, we hope that readers can find helpful information for future studies on related topics.

2 Trend in publications on ICP-QMS/QMS-based analysis of lanthanides and radionuclides

The trend in the publications (based on the database of Web of Science) on lanthanides and radionuclides measured using ICP-QMS/QMS is illustrated in Fig. 1. Generally, the number of publications has steadily increased since the first ICP-QMS/QMS instrument became commercial availability in 2012. There has been over 15 publications per year since 2021.
image file: d4ja00409d-f1.tif
Fig. 1 Trend in the publications on lanthanides and radionuclides measured using ICP-QMS/QMS (dotted line shows the moving average).

This is a profound achievement regarding the limited topics conducted with a single type of ICP-MS.

The publications covered in the present work are summarised in Tables 1–4 for reviews,2–11 REEs (lanthanides),1,12–44 RNs (radionuclides),45–141 and both REEs and RNs,142–153 respectively. Also, the distribution of publications according to the topics is plotted in Fig. 2.

Table 1 Reviews covering REEs and RNs measured using ICP-QMS/QMS
Publishing year Sample (topics) Instrument or method Ref. no.
2015 Environmental (advances) Atomic spectrometry 7
2016 Environmental (radionuclides) Mass spectrometry 6
2018 Environmental (advances) Atomic spectrometry 8
2018 Multiple matrix (advances) ICP-QMS/QMS 2
2020 Multiple matrix (radionuclides) CRC-ICP-MS 4
2021 Geochemical (interference separation) ICP-MS 5
2021 Multiple matrix (trends and advances) ICP-QMS/QMS 10
2023 Multiple matrix (REEs) Analytical techniques 3
2023 Multiple matrix (radionuclides) Analytical greenness 11
2023 Multiple matrix ICP-QMS/QMS 9


Table 2 Publications about REEs measured using ICP-QMS/QMS
Publishing year Sample Instrument Ref. no.
a CRMs, certified reference materials.
2013 Model solution Agilent 8800 1
2015 Nd oxide Agilent 8800 12
2015 Nd oxide Agilent 8800 13
2016 Sediment, soil Agilent 8800 14
2016 Quartz-rich Agilent 8800 15
2016 BaCO3 Agilent 8800 16
2017 CRMsa Agilent 8800 17
2018 Bone Agilent 8800 18
2018 Biological Agilent 8800 19
2019 Printed circuit boards Agilent 8800 20
2019 Ce chelates Agilent 8800 21
2020 Seawater Agilent 8800 22
2021 Uranium ore Agilent 8900 23
2021 Uranium ore iCAP TQ 24
2021 Model solution Agilent 8900 25
2021 Garnet, apatite, xenotime Agilent 8900 26
2022 Natural water Agilent 8900 27
2022 Apatite Agilent 8900 28
2022 Sediment Agilent 8800 29
2022 Uranium ore Agilent 8800 30
2022 La2O3 material iCAP TQ 31
2022 Shales Not available 32
2022 River water CRMs Agilent 8800 33
2023 Geological Agilent 8900 34
2023 Coal Not available 35
2023 Fertilizer, insect iCAP TQ 36
2023 Olive oil Agilent 8800 37
2023 Geological iCAP TQ 38
2023 Coal ash iCAP TQ 39
2024 Environmental Agilent 8800 40
2024 Geological Agilent 8900 41
2024 Geological Agilent 8900 42
2024 Seafood Agilent 8800 43
2024 Silicate Agilent 8900 44


Table 3 Publications on RNs measured using ICP-QMS/QMS
Publishing year Sample Instrument Isotope of interest Ref. no.
2013 Model solution Agilent 8800 I-129 46
2013 Soil Agilent 8800 Sr-90 45
2013 Model solution Agilent 8800 U-236, 238 47
2013 Soil Agilent 8800 I-129 135
2014 Rain water Agilent 8800 Cs-134, 135, 137 48
2014 Environmental Agilent 8800 Cs-135, 137 49
2015 Cigar tobacco Agilent 8800 U-238 50
2016 Model solution Agilent 8800 U-236, 238 53
2016 Soil and sediment Agilent 8800 Sr-90, Cs-137; Pu-238, 239, 240 51
2016 River suspended particles Agilent 8800 Cs-135, 137; Pu-239, 240 52
2016 Environmental Agilent 8800 Cs-135, 137 55
2016 Environmental Agilent 8800 U-236, 238 54
2016 Environmental Agilent 8800 Cs-135, 137 56
2016 Environmental Agilent 8800 Cs-135, 137 57
2017 Decommission waste Agilent 8800 Sr-90 58
2017 Atmospheric particulate matter Agilent 8800 Sr-90 59
2017 Groundwater and discharge water Agilent 8800 Ra-226 60
2017 Soil Agilent 8800 U-236, 239, 240 61
2018 Mo powder Agilent 8800 Th-232, U-238 62
2018 Vegetation Agilent 8800 U-234, 235, 238 63
2018 Seawater Agilent 8800 U-238 64
2018 Model solution Agilent 8900 U-238; Np-237; Pu-240; Am-241; Cm-244 65
2018 Environmental Agilent 8800 Pu-239, 240 66
2018 Environmental Agilent 8800 I-129 136
2019 Environmental and forensic Agilent 8800 Pu-239 68
2019 Soil and sediment Agilent 8800 U-236 69
2019 Soil Agilent 8800 U-236 70
2019 CRM Agilent 8900 Pu-238 71
2019 Urine Agilent 8800 Sr-90 72
2019 Nuclear waste Agilent 8800 Cl-36; Ca-41; Ni-59, 63; Se-79; Sr-90; Zr-93; Nb-94; Tc-99; Pd-107; Sn-126; I-129; Cs-135, 137; Pm-147; Sm-151; Pu-239; Am-241 73
2019 CaF2 sludge Agilent 8800 U-234, 235, 238 74
2019 Soil Agilent 8800 I-129; Cs-134, 137 75
2019 Soil and sediment Agilent 8800 Cs-134, 137; U-234, 235, 238 76
2019 Soil Agilent 8800 Pu-239, 240 77
2020 Uranium CRM Agilent 8800 U-234, 238 67
2020 Mining residues Agilent 8900 U-234, 235, 238; Th-230, 232; Ra-226, 228; Pb-210 78
2020 Environmental Agilent 8800 U-236, 238 79
2020 Environmental water Not available Pu-239, 240 80
2020 Environmental Agilent 8800 U-236, 238 81
2020 Kaolinitic Agilent 8800 U-234, 235, 238; Th-230, 232 82
2020 Medicinal herbs Agilent 8800 Th-232; U-238 83
2020 Environmental Agilent 8800 Cs-135, 137 84
2021 Environmental Agilent 8800 U-236 85
2021 Environmental Agilent 8900 Pu-239, 240 86
2021 Bone Agilent 8800 U-238 87
2021 Reference materials Agilent 8900 U-233, 235, 238 88
2021 Uranium material Not available Th-232 89
2021 Model solution Agilent 8800 Cl-36; Ca-41; Ni-63; Mo-93 90
Agilent 8900
2021 Concrete Agilent 8800 Ca-41 91
2021 Lake water, seawater, urine Agilent 8800 Sr-90; U-234; Am-241; Pu-239 92
2021 Liquid sample with complex matrices Agilent 8800 Sr-90 93
2021 Environmental samples Agilent 8800 U-236 94
2021 Urine Agilent 8900 Pu-239, 240 95
2021 Soil Agilent 8800 Pu-239 96
2021 Urine Agilent 8800 Np-237; Pu-239, 240, 241 97
2021 Soil Agilent 8900 Pu-239 98
2021 Soil, sediment Agilent 8800 Am-241 99
2021 Waste samples Agilent 8800 Cs-135, 137 100
2021 Environmental samples Agilent 8900 Cs-135, 137 101
2022 Model solution Agilent 8900 Tc-99 102
2022 Lead metal Agilent 8800 Pu-239, 242 103
2022 Soil, sediment Agilent 8900 Cs-135, 137 104
2022 Model solution Nexion 5000 I-129 105
2022 Model solution Nexion 5000 Pu-239, 240, 241, 242, 244 106
2022 Water Not available Th-230, 232; U-234, 235, 238 107
2022 Atmospheric deposition Agilent 8800 U-235, 236, 238 108
2022 Soil, sediment Agilent 8900, Nexion 5000 Pu-239, 240, 241 109
2022 Environmental samples Agilent 8900 Tc-99 110
2022 Soil Agilent 8900 Am-241 111
2022 Environmental Agilent 8900 I-129 138
2023 Cotton swipes iCAP TQ U-234, 235, 236, 238; Pu-239, 240 112
2023 Environmental gaseous samples Agilent 8900 I-129 113
2023 Soil Agilent 8900 Pu-239, 240 114
2023 Soil Agilent 8800 Np-237; Pu-239, 240 115
2023 High U sample Agilent 8800 Pu-238, 239, 240, 241 116
2023 Environmental samples Agilent 8900 U-236, 238 117
2023 Standard Agilent 8900 Np-237; Am-241; Cm-244 118
2023 Soil and sediment Agilent 8900 Cs-135, 137 119
2023 Environmental samples Agilent 8900 Cs-135, 137 120
2023 Water Agilent 8900 Pu-239, 240 121
2023 Multiple matrix Agilent 8800 Ni-63; Sr-90; Zr-93; Tc-99; I-129; Np-237; Pu-239 122
2023 Sediment samples Agilent 8900 Am-241 124
2023 Urine Agilent 8800 U-234, 235, 238; Pu-239, 240, 241 125
2023 Urine Agilent 8900 Sr-90 137
2023 Soil Agilent 8800 Np-237; Pu-239, 240 126
2023 Gd sulfate octahydrate Agilent 8800 Ra-226 123
2023 Wild boars Agilent 8900 Cs-135, 137 139
2023 Urine Agilent 8800 Sr-90 137
2023 Decommissioning waste Agilent 8800 I-129 140
2024 Model solution Agilent 8900 U-238; Pu-238, 239 127
2024 Environmental samples Agilent 8900 Pu-239 128
2024 Metal sample Agilent 8800 Th-230 130
2024 Urine Agilent 8900 Np-237; Pu-239, 240, 241; Am-241; Cm-244 131
2024 Bottled drinking water Agilent 8900 Po-210; Ra-226, 228; Th-230, 232; U-234, 235, 236 132
2024 Uranium ore Agilent 8800 Th-230, 232; U-234 133
2024 Biological samples Agilent 8800 Pu-239, 240 134
2024 Scintillation film Agilent 8800 Th-232; U-238 129
2024 Natural water Agilent 8800 I-129 141


Table 4 Publications on REEs and RNs measured using ICP-QMS/QMS
Publishing year Sample Instrument Element or isotope of interest Ref. no.
2017 River water, spring water Agilent 8800 REEs; Th-232; U-238 144
2019 Arctic samples Agilent 8900 REEs; U-238 145
2019 Sediment Agilent 8800 REEs; Th-232; U-238 147
2019 Water and sediment Agilent 8800 REEs; Th-232; U-238 150
2020 Sediment Agilent 8800 REEs; Th-232; U-238 153
2021 CMX-6 Agilent 8800 REEs; U-234, 235, 236, 238; Pu-239, 241, 242 143
2021 Sediment Agilent 8800 REEs; U-238 148
2022 Water CRMs Agilent 8800, Agilent 8900 REEs; Th-232; U-238 142
2023 Water Agilent 8900 REEs; U-238 146
2023 Plant SRMs Nexion 5000 REEs; Th-232; U-238 152
2024 Sediment Agilent 8800 REEs; U-238 149
2024 Wheat flour Agilent 8800 REEs; Th-232; U-238 151



image file: d4ja00409d-f2.tif
Fig. 2 Distribution of publications according to the topics of lanthanides (REEs), radionuclides (RNs), both (RNs and REEs), and reviews.

According to Tables 2–4, it can be seen that the measurement of REEs and RNs by ICP-QMS/QMS has been applied in various research fields, covering material, geological, biological, environmental, and food.

The instrument model is dominated by Agilent 8800 (together with Agilent 8900), which is partially attributed to its early availability since 2012. Alternatively, the application of iCAP TQ and Nexion 5000 has increased since 2021 and 2022, respectively. Considering that these instruments were released in different years (Agilent 8800, 2012; Agilent 8900, 2016; iCAP TQ, 2017; and Nexion 5000, 2020),9 it can be expected that the application of the latter instruments will increase apparently in the near future.

The most significant advantage of ICP-QMS/QMS is its capability to separate spectral interference, while the effectiveness of the separation depends on the reactions between the ions and gas molecules in the CRC. Therefore, choosing the optimum cell gas (or gas mixture) is an important step to take the advantage of ICP-QMS/QMS.

The cell gases investigated in the references covered in the present work are summarised in Table 5, together with the number of references for each type of gas. Among them, it can be seen that oxygen (70) is the most investigated cell gas, followed by helium (61) and ammonia gas (34). Hydrogen was also often investigated as a cell gas, which has been reported in 23 references. One of the reasons for using these gases as the cell gas is that they are usually the standard for an ICP-QMS/QMS instrument. It is notable that N2O (25) and CO2 (17) were also widely investigated although are not the standard. Also, it is noteworthy that ozone was used as a reaction gas.141

Table 5 Collision and reaction gases investigated via ICP-QMS/QMS measurement
Gas References Count
He 13–16, 20, 22–24, 28, 29, 34, 36, 37, 39, 40, 42, 43, 49, 60, 65, 67, 68, 73, 74, 81, 83, 86, 89–92, 94, 96, 98, 101, 102, 107, 111, 112, 115, 116, 119–122, 124–126, 131–133, 142, 144–151 and 153 61
H2 15, 16, 18, 22, 29, 31, 43, 51, 58, 59, 65, 71, 73, 90–93, 122, 143, 144, 146, 147 and 153 23
O2 1, 12, 13, 15–18, 20–25, 27, 35, 36, 39, 44–47, 51, 53, 55, 58, 59, 62, 65, 67–70, 72, 73, 75, 76, 78, 79, 81, 85, 92, 93, 98, 102, 105, 106, 108, 110, 111, 113, 114, 116–118, 121, 122, 124, 127, 131, 135, 136, 138, 140, 142, 144, 145, 147–149 and 153 70
NH3 1, 12–14, 16, 21, 25, 26, 28, 34, 39, 41, 51, 58, 59, 62, 66–68, 73, 77, 86, 90, 91, 95, 96, 99, 109, 116, 119, 120, 122, 134 and 144 34
N2O 29, 32, 33, 42–44, 48, 49, 51, 52, 54, 56, 57, 81, 84, 100, 101, 116, 117, 119, 120, 127, 138, 139 and 152 25
CH4 51 1
C2H2 51 1
CO2 51, 68, 71, 79, 81, 94, 98, 105, 106, 112, 115, 116, 118, 127, 137, 138 and 143 17
NO 106 and 128 2
O3 141 1


2.1 Reaction gases used for measurement of REEs

The typical spectral interferences in the measurement of REEs are monoxide ions of light REEs (LREEs) and those of middle REEs (MREEs) interfere in the measurement of MREEs (e.g. 139La16O+ with 155Gd+) and heavy REEs (HREEs) (e.g. 147Sm16O+ with 163Dy+), respectively. Hydride ions, monoxide ions, and hydroxide ions of Ba also interfere in the measurement of REEs, e.g. 138Ba1H+ with 139La+, 137Ba16O+ with 153Eu+, and 136Ba16O1H+ with 153Eu+, respectively.

The dominant reaction gas used for REEs was oxygen, which is mainly attributed to its capability to form monoxide for the mass-shift measurement of REEs.1,12,16–18,20–25,27,35–37,44 However, the yields of monoxides of Eu and Yb (approximately 20%) were much lower than that of other REEs (over 90%) due to their endothermic reaction with oxygen, resulting in deteriorated sensitivity for mass-shift measurement.22,23,35,53 An improvement in the yield of monoxides of Eu and Yb by two- to three-fold could be achieved via optimization of the operating conditions of ICP-QMS/QMS in terms of a higher collision energy.27 A more reactive gas, N2O, was also applied in the measurement of REEs in mass-shift mode with higher yields of monoxide ions for the whole set of REEs, including Eu and Yb with yields of over 80%.32,33,42,44 It is notable that slightly decreased (by 5% to 10%) yields of monoxide ions were found for some REEs (e.g. La) due to the formation of dioxide ions.

On-mass mode measurements of REEs with hydrogen15,16,18,22,29,31,43 or helium12–16,20,22–24,29,34,36,37,39–43 as the cell gas were reported in multiple works, owing to their ready availability as cell gases or less challenging spectral interferences.

Ammonia gas was also investigated as a cell gas for the measurement of REEs in multiple works.1,12–14,16,28,34,39,41 It is notable that due to the formation of BaO2+ in a high-concentration Ba solution, the on-mass measurement of Eu isotopes with NH3 reaction resulted in a better performance than the mass-shift measurement with O2 reaction.16 Ammonia reaction was the most effective for separating signals of Lu and Hf for their isotopic analysis, where Lu could be measured in the on-mass mode and Hf in the mass-shift mode of ion clusters of Hf with NH3.26,28,34,41

2.2 Reaction gases used for the measurement of radionuclides of Cs

The measurement of 134Cs is extremely difficult because it is a short-lived radionuclide. As alternatives, radionuclides of Cs, i.e. 135Cs and 137Cs, have been studied to evaluate its environmental effects due to nuclear power- or nuclear weapon-related activities. Isobaric spectral interferences from 135Ba+ and 137Ba+ should be considered in the measurement of trace 135Cs+ and 137Cs+ by ICP-MS, respectively. The most effective reaction gas for the measurement of radionuclides of Cs was N2O, which helped transform Ba ions effectively to their oxide or hydroxide ions.48,49,51,52,54,56,57,84,100,101

The additional application of NH3 (in He) helped remove polyatomic interferences from 119Sn16O+, 95Mo40Ar+, 97Mo40Ar+, and 121Sb16O+.119,120

2.3 Reaction gases used for the measurement of radionuclides of Sr

As an analog of calcium, Sr has a tendency to accumulate in the skeleton after its intake by human beings. Therefore, radionuclides of Sr have attracted significant attention as a threat to human health. In this case, 90Sr, which poses a great threat to human health, is often determined by ICP-MS. However, the measurement of 90Sr+ suffers spectral interferences from mainly 90Zr+ and 89Y1H+.

Oxygen is effective in removing the interference from 90Zr+ by transforming it to its oxide ions.45,51,58,72,92,93,122 Recently, Yang et al. demonstrated that the introduction of CO2 instead of O2 could further mitigate isobaric/polyatomic interferences, especially that caused by Zr and Ge.137

Additionally, the application of H2 and NH3 resulted in the best performance for the measurement of 90Sr+ by separating Zr- and Y-related spectral interferences.59

2.4 Reaction gases used for the measurement of radionuclide of I

Anthropogenic 129I is attracting attention as a geochemical tracer related to nuclear weapons testing, nuclear accidents, nuclear reprocessing facilities, and nuclear power plants.46,75,105,113,135,136,138,140,141 The measurement of 129I+ by ICP-QMS/QMS suffers spectral interferences from 129Xe+ and 127I1H2+.

Oxygen was used in most works for measuring 129I+ by ICP-QMS/QMS, while on-mass measurement was selected to remove 129Xe+ and 127I1H2+ as their products from reactions with O2.46,75,105,113,135,136,140 Matsueda et al. tried to improve the analytical performance for the on-mass measurement of 129I+ using CO2 in addition to O2 as the reaction gas.105

Coralie et al. compared N2O, CO2 and O2 as the reaction gas for the mass-shift measurement of 129I+ as its monoxide ion.138 Among them, the best analytical performance was achieved with O2, resulting in a yield of approximately 15% of monoxide ion of 129I+.

In a recent study by Zhu and Asakawa, they used on-line-generated ozone (O3) as the reaction gas for the mass-shift measurement of 129I+.141 Due to its spontaneous reaction with O3, 129I+ could be measured as its monoxide ion and dioxide ion with yields of approximately 60% and 20%, respectively.

2.5 Reaction gases used for the measurement of radionuclides of U

In addition to long-lived radionuclides of uranium (235U and 238U), anthropogenic and relatively shorter-lived radionuclides (e.g. 233U, 234U, and 236U) have been increasingly measured by ICP-QMS/QMS for the investigation of nuclear-related environmental activities. In most cases, interference from 235U1H+ in the measurement of 236U+ was the major challenge due to the relatively higher abundance (ca. 0.7%) of 235U in comparison to the extremely low natural abundance (usually under 10−5%) of 236U. Oxygen was mostly investigated as the reaction gas for the measurement of uranium isotopes by shifting to their monoxide ions.47,54,67,70,79,81,85,92,108,117 Beside oxygen, CO2 and N2O were investigated as alternative gases for the measurement of uranium isotopes.79,81,94,112,117 The introduction of N2O as the reaction gas permitted the measurement of uranium isotopes by shifting to their dioxide ions and helped improve the spectral interference separation.117

Helium was usually used as an additional gas with oxygen, CO2, and N2O, helping to improve the reactions by enhancing the collision opportunities.67,74,78,79,81,92,94,107,112,125,132,133

2.6 Reaction gases used for the measurement of radionuclides of Pu

Due to their high radiological toxicity and very long radioactive half-life, Pu isotopes are regarded as highly hazardous contaminants in the environment, and the most frequently monitored Pu isotopes are those with an isotopic mass of 238 to 241 and 244. In addition to the tailings of a high concentration of 238U, the major spectral interferences were from 238U-related polyatomic and isobaric ions, e.g. 238U1H+ and 238U1H2+. Polyatomic ions from other elements (Pb, Hg, and Tl) should also be considered regarding the sample matrix.92,98,103

The dominant reaction gases used for the measurement of Pu isotopes were NH3,51,66,77,80,86,95,96,103,109,116,134 CO2,51,68,71,106,112,115,127,143 and O2,65,98,114,121,122,131 respectively. It is notable that CO2 was used more often than O2, regardless of the fact that O2 is one of the standard reaction gases for ICP-QMS/QMS independent of its manufacturer. This can be attributed to the fact that the measurements of Pu isotopes were conducted in on-mass mode with the polyatomic spectral interferences reduced by reaction with the gas molecules. The reactions with NH3 and CO2 resulted in the better removal of these spectral interferences and provided a better performance for the measurement of Pu isotopes.

3 Advances in sample pretreatment

In the analysis of solid samples, acid digestion (or acid leaching) and alkaline fusion are often conducted to transform solid samples to solutions. Also, a limited number of works reported the application of laser ablation on solid samples.26,28,32,34,130,143

Due to the extremely low concentrations (usually under ng kg−1 or ng L−1) of REEs and RNs in natural samples, pretreatment for the enrichment of the objective element and/or separating it from the sample matrix is usually required prior to measurement by ICP-QMS/QMS.

3.1 Pretreatment for the measurement of REEs

The use of solid-phase extraction (SPE),14,23,142 cloud point extraction,14 solvent extraction,21 and coprecipitation22 has been reported for the pretreatment of samples to measure REEs.

Ebeling et al. reported an automatic SPE method based on a commercially available on-line system (with Nobias chelate-PA1 column, ethylene diamine triacetate and imino-diacetate functional groups), achieving a preconcentration factor of 20 for trace elements including REEs in natural water samples.142

Ding et al. reported an SPE method using UTEVA resin (diamyl amylphosphonate) for separating REEs from the matrix of uranium ore. The recovery for each REE was over 93% with an acceptable concentration (<100 ng mL−1) of uranium in the final solution.23

Labrecque et al. compared cloud point extraction and SPE for separation of REEs in isotopic analysis.14 Regardless the fact that both methods were based on an extractive ligand of di-glycol amide analogues, the cloud point extraction method showed excellent recoveries (over 99%) for Nd, Sm, and Eu, which were superior to that obtained with the SPE method (45% to 68%).

Zhang et al. reported a solvent extraction method for the determination of REE impurities in Ce chelates.21 REEs were extracted in bis(2,4,4-trimethylpentyl)phosphinic acid at pH 4 (with the oxidation of Ce by KMnO4), and then back extracted with 5% (v/v) HNO3. A matrix separation efficiency of over 99.9% was achieved with good reproducibility, resulting in a Ce concentration under 0.1 mg L−1 remaining. The recoveries of other REEs were over 90%.

Zhu reported an Mg(OH)2 coprecipitation method for the determination of REEs in seawater samples.22 An enhancement factor of 130-fold (peak height of signal intensity) was achieved by on-line elution and measurement of the precipitate, with the removal of over 99% salt contents.

3.2 Pretreatment for the measurement of radionuclides of Cs

The selective adsorption of Cs with ammonium molybdophosphate (AMP) was reported in multiple works, followed by further ion-exchange separation to remove the sample matrix and interfering elements.49,56,57,80,84,101,104,120

Zheng et al. reported an improved method for the removal of major elements (e.g. Ca, K, and Mg) following AMP adsorption.57 Combining a 2 mL AG MP-1M resin (anion exchange) column, a 10.5 mL AG 50W-X8 resin-packed Eppendorf pipette, and 2 mL Sr resin cartridge, sufficient removal of the matrix elements and interfering elements was achieved for the analysis of low-level 137Cs (20–1000 Bq kg−1) using large-size samples (e.g. up to 40 g soil and sediment samples). This separation method showed high separation factors (104–107) for the major matrix elements (Al, Ca, K, Mg, Na and Si) and interfering elements (105–106 for Ba, 106–107 for Mo, 104–106 for Sb and 104–105 for Sn).

It is notable that a desolvation system helped improve the signal intensity in the measurement by ICP-QMS/QMS, which was attributed to the uptake efficiency of Cs isotopes in the plasma.57,80,84,120

3.3 Pretreatment for the measurement of radionuclides of Sr

An automated online SPE method employing a lab-on-valve system was developed for the analysis of 90Sr.92,93 A dual-column setup (Eichrom DGA resin and Sr resin) helped separate 90Sr from 90Zr and other matrix elements, where the DGA resin had diglycolamic acid functional groups for the extraction of cations.

Strontium in urine samples was efficiently separated by phosphate co-precipitation, followed by extraction chromatography with Pre-filter resin, Eichrom TRU resin (having carbamoylphosphine oxide functional groups), and Sr resin (having 4,4′(5′)-di-t-butylcyclohexano 18-crown-6 functional groups).72 This method enabled the determination of 1 Bq 90Sr per urine sample (1–2 L) for assessing the internal exposure of workers in a radiological emergency. Yang et al. applied DGA and Sr resin cartridges for the separation of Sr, following CaF2 co-precipitation in 400 mL urine samples. In this study, stable 88Sr was used as a yield tracer for the recovery correction of 90Sr.137

3.4 Pretreatment for measurement of radionuclide of I

In the work by Ohno et al., 129I in soil samples was released using a V2O5-based pyrohydrolysis process and trapped in a solution of 1% TMAH and 0.1% Na2SO3. Further purification was conducted by solvent extraction and back extraction using carbon tetrachloride, NaNO2, HNO3, and Na2SO3.135

In the work by Carrier et al., environmental gaseous 129I trapped in a charcoal cartridge was purified with an SPE method after acid digestion.113 The SPE method was based on Ag+-functionalized CL resin, which retained iodide as AgI. The elution of 129I was achieved with a solution of 0.35 mol per L Na2S.

Yang et al. reported a multi-step mild extraction protocol for measuring 129I in solid environmental samples.136 The first step was extraction with 10% TMAH at 90 °C, and the second step was using K2S2O8 for releasing iodine from organic matter. In the third step, the reduction of iodate was conducted using (NH4)2SO3 with the assistance of CCl4. After the removal of the organic layer in step four, iodine was extracted with NaNO2 in step five. The final step was back extraction with (NH4)2SO3.

Zacharauskas et al. used a simple combustion process at 900 °C, followed by trapping with 3% TMAH solution for measuring 129I in nuclear waste simulant samples.140

3.5 Pretreatment for the measurement of radionuclides of U

SPE methods using multiple resins were reported as pretreatment for the measurement of radionuclides of uranium. The most used resin was UTEVA, which showed efficiency for the extraction of nitrato complexes of actinide elements.63,69,79,81,82,94,107,108,117

Also, other resins were reported as pretreatment for the measurement of radionuclides of uranium, including AG1X8 (a strong cation exchange resin),69,74,79 DGA,54,61,70,76,85,92,125 and TRU resins.78,132

3.6 Pretreatment for the measurement of radionuclides of Pu

Coprecipitation was reported as pretreatment for the measurement of radionuclides of Pu.68,77,80,95,109,115,116,126,154 The enrichment and/or separation of Pu were usually conducted with SPE methods using various resins, e.g. TEVA resin (with aliphatic quaternary amine functional groups),51,66,68,77,80,95,96,114,126 TK200 resin (with trioctylphosphine oxide functional groups),86,115,116,121,126 Sr resin,92,103 DGA resin,92,131 AG MP-1M resin (anion exchange),95–97 AG 1X4 resin (anion exchange),66,109 and UTEVA resin.98

4 Improvement in separating spectral interferences by reaction-cell techniques

The performance of ICP-QMS/QMS in separating spectral interferences depends on the extent of the reactions between the ions and gas molecules in the CRC. On-mass measurements are usually conducted when the reactions between the interfering ions and gas molecules proceed readily, while the ions of interest are much less reactive with the gas molecules. Alternatively, mass-shift mode measurements are conducted in the opposite case.

4.1 Pitfalls and advantages of measurement modes and reaction gases

On-mass measurements basically permit the passing of a relatively lower mass monoatomic ion through the CRC and the second quadrupole before arriving at the detector, while a higher mass polyatomic ion is blocked via energy discrimination. For this purpose, a positive or neutral voltage is often applied to the exit of the CRC, resulting in a “repulsion effect” to the positively charged ions. The transmission of the ion of interest decreases due to the increased collisions with the cell gas. The sensitivities for most elements measured in on-mass mode with H2 reaction were approximately 30% to 60% of that obtained under no-gas condition.155

The operating conditions for mass-shift mode measurement benefit the passing of a relatively higher mass polyatomic ion to the detector, with a negative voltage applied to the exit of the CRC, helping to improve the transmission of the ion of interest. In this case, the sensitivity depends on the yield of the polyatomic ion. The sensitivities for most elements measured in mass-shift mode with O2 (M+ → MO+) and NH3 (M+ → MNH+) were under 50% and 20%, respectively, of that obtained under no-gas condition.155

The systematic characterization of the gas cell reactions using NO, N2O and O3 was also reported, respectively.155–157 These works provide greatly valuable information for further development in the analysis of REEs and radionuclides.

4.2 Representative reaction gases and reactions applied in the measurement of REEs and radionuclides

The representative gas and reactions used for the measurement of REEs and radionuclides of Cs, Sr, U, and Pu are summarized in Table 6, together with the interfering ions and measurement mode.
Table 6 Representative improvements in the separation of spectral interferences
Ion of interest Interfering ions Reaction gases Measuring mode Typical reactions References
139La+ 138Ba1H+ H2 On-mass 138Ba1H+138Ba+ 18 and 31
151Eu+ 135Ba16O+ 135Ba16O+138Ba+
169Tm+ 153Eu16O+ 153Eu16O+138Ba+
139La+ 138Ba1H+ O2 Mass-shift 139La+139La16O+ 1, 12, 17, 18, 20–25, 27, 35, 36 and 44
151Eu+ 135Ba16O+ 151Eu+151Eu16O+
169Tm+ 153Eu16O+ 169Tm+169Tm16O+
176Lu+ 176Hf+ NH3 On-mass 176Hf+176Hf14N51H12+ 26
139La+ 138Ba1H+ N2O Mass-shift 139La+139La16O+ 32, 33, 42 and 44
151Eu+ 135Ba16O+ 151Eu+151Eu16O+
169Tm+ 153Eu16O+ 169Tm+169Tm16O+
135Cs+ 135Ba+ N2O On-mass 135Ba+135Ba16O+ 48, 49, 51, 52, 54, 56, 57, 84, 100, 101, 119 and 120
137Cs+ 137Ba+ 137Ba+137Ba16O+
135Cs+ 119Sn16O+, 95Mo40Ar+ N2O, NH3 On-mass 119Sn16O+119Sn+; 95Mo40Ar+95Mo+ 119 and 120
137Cs+ 121Sb16O+, 97Mo40Ar+ 121Sb16O+121Sb+; 97Mo40Ar+97Mo+
90Sr+ 90Zr+, 89Y1H+ O2 On-mass 90Zr+90Zr16O+; 89Y1H+89Y16O+ 45, 51, 58, 59, 72, 92, 93 and 122
90Sr+ 90Zr+, 89Y1H+ O2, CO2 On-mass 90Zr+90Zr16O+, 90Zr16O3+, ZrH34O3+, ZrH2O2+ 137
90Sr+ 90Zr+, 89Y1H+ O2, H2, NH3 On-mass 90Zr+90Zr16O14N41H12+; 89Y1H+89Y16O14N41H12+ 59
129I+ 129Xe+, 127I1H2+ O2 (or with CO2) On-mass 129Xe+129Xe, 127I1H2+127I+ 46, 75, 105, 113, 135, 136 and 140
129I+ 129Xe+, 127I1H2+ O2 Mass-shift 129I+129I16O+ 138
129I+ 129Xe+, 127I1H2+ O3 Mass-shift 129I+129I16O+; 129I+129I16O2+ 141
236U+ 235U1H+ O2 Mass-shift 235U1H+235U16O+; 236U+236U16O+ 47, 54, 67, 70, 79, 81, 85, 92, 108 and 117
236U+ 235U1H+ O2, CO2 Mass-shift 235U1H+235U16O+; 236U+236U16O+ 79 and 94
236U+ 235U1H+ N2O Mass-shift 235U1H+235U16O2+; 236U+236U16O2+ 81 and 117
239Pu+ 238U1H+ O2 (with H2 or He) Mass-shift 239Pu+239Pu16O2+; 238U1H+238U16O2+ 65, 98, 114, 121, 122 and 131
239Pu+ 238U1H+ CO2 (with H2 or He) On-mass 238U1H+238U16O+, 238U16O2+ 51, 68, 71, 106, 112, 115, 127 and 143
239Pu+ 238U1H+ NH3 On-mass 238U1H+238U14N1H0–3+ 51, 66, 77, 80, 86, 95, 96, 103, 109, 116 and 134
239Pu+ 238U1H+ NO Mass-shift 239Pu+239Pu16O+; 238U1H+238U16O+, 238U16O2+ 128


The measurements of REEs were dominated by the mass-shift mode with O2 or N2O as the reaction gas. It is notable that the introduction of N2O as the reaction gas significantly improved the formation of monoxide ions of Eu and Yb, permitting the mass-shift measurements of a full set of REEs at high sensitivity.

The measurements of radionuclides of Cs were conducted in on-mass mode. The reactive property of N2O helps completely transform the interfering Ba ions to their oxide ions and break polyatomic ions of Sn, Sb, and Mo. The additional application of NH3 helped completely remove interferences from these polyatomic ions. The measurement of 90Sr was also conducted in on-mass mode utilizing O2 or CO2 (or with additional H2 and NH3) as the reaction gas. The on-mass and mass-shift measurements of 129I were often conducted with O2 as the reaction gas, while its monoxide ion was permitted to pass the second quadrupole for mass-shift measurement.

The measurements of radionuclides of U were conducted in mass-shift mode with O2, CO2, or N2O as the reaction gas. The shifting to oxides of 236U+ helped separate it from the interfering 235U1H+, which also shifted to the related oxides.

The measurements of radionuclides of Pu were conducted in mass-shift mode by shifting to oxide ions with O2 or NO as the reaction gas. The application of CO2 or NH3 permitted the measurement of radionuclides of Pu in on-mass mode, with interfering ions transferred to related polyatomic ions.

5 Protocols for post-analysis mathematical correction

Taking advantage of the capability of ICP-QMS/QMS for spectral separation, interferences from oxide ions of LREEs and MREEs in the measurement of MREEs and HREEs, respectively, can be effectively separated using the appropriate reaction gases. It is notable that the interferences from oxide ions and hydroxide ions of Ba with the measurement of Eu can be substantial for natural samples, which is attributed to the much higher (by over 3 orders of magnitude) concentration of Ba than that of Eu. The use of N2O as the reaction gas helped convert Ba-related ions to higher-order (with multiple oxygen and hydrogen atoms) ions and resulted in much better separation from the signals for Eu isotopes.33 When oxygen is used as the reaction gas, the interferences from Ba-related ions in the measurement of Eu isotopes may be still significant, which can be mathematically corrected based on the intensities of Ba-related ions observed in a Ba standard solution (interference factor, InF = SEu*/SBa*; SEu* and SBa*, signal intensities of Eu-seeming and Ba, respectively) and the concentrations of Ba in the samples (SEu = SEu0SBa × InF; SEu, SEu0, and SBa, signal intensities of Eu after correction, Eu before correction, and Ba, respectively). Based on the difference in the isotopic abundance of Ba-related interferences and that of Eu, Zhu and Itoh reported a pseudo-isotope dilution method for the correction of spectral interferences from Ba-related ions with the measurement of Eu.158 In this method, the Ba-related interference was considered an analog of the 153Eu-enriched isotope spike. As a result, the concentration of Eu in a sample can be calculated (based on the well-known isotope dilution equations) according to the ratio of 151Eu/153Eu in an Eu standard solution, Ba standard solution, and the sample. Due to the fact that the m/z value is dependent on ion transmission in the ICP-QMS/QMS system, correction of mass discrimination should be considered for the measurement of the isotopic ratio. Ohno and Muramatsu reported that the measured 134Cs/137Cs ratios in the samples by ICP-QMS/QMS were consistent with the values determined by Ge semiconductor analysis within the analytical error, even without any correction of the mass-discrimination effect.48 This can be attributed to the fact that the practical relative analytical errors were in the range of 15% to 28%, which is higher than the extent of mass-discrimination in the measurement by ICP-QMS/QMS. When a result is required with a smaller relative analytical error (e.g. less than 5%), mass-discrimination can be critical. Zok et al. corrected the mass bias of the plasma with an external europium reference solution (5 ppb) spiked to a blank-processed eluate to achieve a comparable matrix as that of the samples for 135Cs/137Cs ratio measurement.101 Due to the lack of a 135Cs/137Cs certified solution, Magre et al. corrected the mass bias using the sample-standard bracketing approach with a solution previously qualified by TIMS.120 Ohno et al. reported the correction of 127I-related interference in the measurement of 129I based on the observed ratio of 127I(H2 and D)+/127I+ in a natural iodine standard solution. Lindahl et al. reported the precise measurement of the 233U/235U ratio with a relative standard deviation of 0.07% after linear mode correction of mass-discrimination (i.e. mass bias).88 To achieve the ultra-trace-level measurement of the 240Pu/239Pu ratio, Zheng and Yamada corrected the mass bias with a Pu isotope certified standard solution (NBS-947).159

Dead time correction should be considered when measuring isotopic ratios with high signal intensities in pulse mode.160 The effect of dead time is more prominent for larger isotopic ratios, e.g. over 106 or under 10−6 requiring measurements with signal intensities over one million counts per second (CPS). A simple model for dead time correction is as follows: I1 = I0/(1 − I0 × t), where I1, I0, and t are the true signal intensity, observed intensity, and deadtime, respectively.

6 Selected applications and representative analytical figures of merits

6.1 Selected applications for the measurement of REEs

Galusha et al. reported a method for quantifying REEs in digested bone samples, with O2 reaction for Tb and Lu, while using H2 reaction for other REEs.18 The method detection limits for REEs ranged from 0.9 ng per g (Tm) to 5.6 ng per g (Nd). The median values of REEs in the parental nutrition patient group were at least fifteen times higher than that of the “control” group and exceeded all previously reported data.

Ding et al. developed a simple and reliable chemical procedure for the separation of REEs from a uranium matrix before measurement by ICP-QMS/QMS.23 REEs were measured in mass-shift mode by using O2 as the reaction gas, which helped the effective suppression of polyatomic interferents in the measurement of REEs. The method detection limits for all REEs were below 1 pg mL−1, which ensured the precise and accurate measurement of REEs in small amounts of uranium ore samples.

Zhu compared N2O and O2 as the reaction gases for the measurement of REEs in mass-shift mode.33 The results showed that the N2O reaction apparently improved the yields of mM16O+ for Eu and Yb, which helped improve the sensitivities for the measurement of Eu and Yb in comparison to that obtained with O2 as the reaction gas. A typical sensitivity of 300[thin space (1/6-em)]000 CPS per ng per mL was obtained for REEs measured with an isotope having an isotopic abundance close to 100%. Furthermore, the N2O reaction also helped suppress Ba-related spectral interferences in the measurement of Eu and permitted the measurement of Eu in natural samples without mathematic correction of the spectral interferences. The instrumental detection limits for REEs ranged from 0.004 pg mL−1 of Tm to 0.028 pg mL−1 of La.

A comparison of the representative detection limits and sensitivities for the measurement of REEs is summarized in Table 7. It is notable that the method detection limit (MDL) cannot be simply compared due to their dependence on the pretreatment procedures. The sensitivities can be compared because they are all given as the signal intensities corresponding to 1.0 ng mL−1 of each REE. It can be seen that the measurements conducted in mass-shift mode (italic data) provided higher sensitivities in comparison to that obtained in on-mass mode. These results can be attributed to the difference in operating conditions, where in the case of on-mass mode measurement, a neutral or positive energy discrimination was applied at the under stream of the CRC, resulting in a decrease in the transmission of positively charged ions to the second quadrupole mass filter. By contrast, negative energy discrimination was applied for mass-shift mode and was beneficial for the improvement in the transmission of positively charged ions to the second quadrupole mass filter.

Table 7 Comparison of the detection limits and sensitivities obtained for the measurement of REEsa
Element m/z Galusha et al.18 (H2, O2 reaction) Ding et al.23 (O2 reaction) Zhu33 (O2 reaction) Zhu33 (N2O reaction)
MDLb (ng g−1) Sensitivityc MDLb (pg mL−1) Sensitivityc IDLd (pg mL−1) Sensitivityc IDLd (pg mL−1) Sensitivityc
a Italic data were obtained via mass-shift mode (e.g. 139La+139La16O+) measurements.b MDL, method detection limit.c Sensitivity unit, CPS per ng mL−1.d IDL, instrumental detection limit.e (i) and (ii) Different choices of isotopes for measurement.
La 139 5.1 10[thin space (1/6-em)]538 0.52 290[thin space (1/6-em)]000 0.030 220[thin space (1/6-em)]985 0.028 254[thin space (1/6-em)]917
Ce 140 4.7 90[thin space (1/6-em)]978 0.63 170[thin space (1/6-em)]000 0.024 217[thin space (1/6-em)]929 0.018 238[thin space (1/6-em)]483
Pr 141 1.6 158[thin space (1/6-em)]370 0.16 350[thin space (1/6-em)]000 0.017 285[thin space (1/6-em)]257 0.006 327[thin space (1/6-em)]937
Nd 146 5.6 16[thin space (1/6-em)]258 0.69 61[thin space (1/6-em)]000 0.022 48[thin space (1/6-em)]482 0.026 59[thin space (1/6-em)]753
Sm 147 3.7 22[thin space (1/6-em)]343 0.28 52[thin space (1/6-em)]000 0.043 37[thin space (1/6-em)]733 0.006 52[thin space (1/6-em)]160
Eue 151(i), 153(ii) 1.0(i) 41[thin space (1/6-em)]925(i) 0.98(ii) 39[thin space (1/6-em)]000(ii) 0.024(ii) 44[thin space (1/6-em)]838(ii) 0.010(ii) 196[thin space (1/6-em)]360(ii)
Gd 157 5.3 23[thin space (1/6-em)]049 0.50 52[thin space (1/6-em)]000 0.011 39[thin space (1/6-em)]670 0.017 52[thin space (1/6-em)]342
Tb 159 1.1 35[thin space (1/6-em)]264 0.10 340[thin space (1/6-em)]000 0.007 261[thin space (1/6-em)]392 0.006 331[thin space (1/6-em)]227
Dy 163 2.8 22[thin space (1/6-em)]441 0.15 90[thin space (1/6-em)]000 0.033 66[thin space (1/6-em)]508 0.016 86[thin space (1/6-em)]904
Ho 165 2.7 90[thin space (1/6-em)]794 0.11 350[thin space (1/6-em)]000 0.010 260[thin space (1/6-em)]269 0.010 324[thin space (1/6-em)]374
Er 166 1.3 46[thin space (1/6-em)]782 0.20 120[thin space (1/6-em)]000 0.020 81[thin space (1/6-em)]849 0.016 106[thin space (1/6-em)]869
Tm 169 0.9 96[thin space (1/6-em)]712 0.17 310[thin space (1/6-em)]000 0.012 224[thin space (1/6-em)]416 0.004 320[thin space (1/6-em)]798
Ybe 172(i), 174(ii) 1.3(ii) 30[thin space (1/6-em)]894(ii) 0.77(i) 13[thin space (1/6-em)]000(i) 0.060(i) 18[thin space (1/6-em)]069(i) 0.023(i) 62[thin space (1/6-em)]655(i)
Lu 175 1.6 31[thin space (1/6-em)]402 0.15 330[thin space (1/6-em)]000 0.019 233[thin space (1/6-em)]119 0.012 312[thin space (1/6-em)]566


It is noteworthy that the sensitivities for Eu and Yb were relatively lower when measured in mass-shift mode with oxygen as the reaction gas, which was attributed to the exothermic reactions for producing MO+ from M+. The introduction of N2O as the reaction gas helped overcome this problem and provided the best performance for measuring the whole set of REEs.

6.2 Selected applications for the measurement of radioactive Cs

Cao et al. developed an analytical method for the simultaneous determination of radioactive Cs and Pu isotopes in suspended particles with a small sample size (1–2 g), which was applied to suspended particles of river water samples collected from the Fukushima Prefecture after the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident.52 The 135Cs/137Cs atom ratios (0.329–0.391) and 137Cs activities (23.4–152 Bq g−1) suggested that the radioactive Cs contamination in the suspended particles mainly originated from the accident-released radioactive contaminates. In addition, most of the detected radioactive Cs at northwest of the FDNPP site was likely to be derived from a mixture of reactor Units 2 and 3, given that the observed 135Cs/137Cs atom ratios (0.333–0.355) in the environmental samples collected northwest from the FDNPP site appeared to be consistent with reactor Units 2 (0.341) and 3 (0.350). The Pu contamination in the suspended particles caused by the accident could be neglected given that the 240Pu/239Pu atom ratios (0.182–0.208) were in the range of global fallout.

Zheng et al. developed a method to accomplish the sufficient separation of major elements (such as Ca, K, and Mg) for measuring trace radioactive Cs in large volume samples.57 The separation was achieved using a 2 mL AG MP-1M resin column, 10.5 mL AG 50W-X8 resin packed in an Eppendorf pipette, and 2 mL Sr resin cartridge, resulting in the complete removal of the interfering elements in large-size samples (up to 40 g soil and sediment samples) for the analysis of low-level 137Cs (20–1000 Bq kg−1). This separation method showed high decontamination factors (104–107) for major matrix elements (Al, Ca, K, Mg, Na and Si) and interfering elements (105–106 for Ba, 106–107 for Mo, 104–106 for Sb and 104–105 for Sn) for 10–40 g soil and sediment samples. By using an Apex-Q sample introduction system, the measurement sensitivity was significantly improved to 2.95 × 105 cps for 1 ng per mL 133Cs standard solution. Seven reference materials were used for the method validation. The JSAC-0471 (soil), JSAC-0766 (soybean) and JSAC-0776 (mushroom) reference materials collected 100–250 km southwest of the FDNPP site within the Kanto region of Japan following the Fukushima accident presented the 135Cs/137Cs isotope ratios of 0.378 ± 0.023, 0.353 ± 0.025, and 0.378 ± 0.021, respectively (decay corrected to March 11, 2011). In the case of IAEA-soil-6 (soil from the Upper Austria before the Chernobyl accident), with low 137Cs activity of 28.1 Bq kg−1, the 135Cs/137Cs ratio was measured to be 2.58 ± 0.37 (decay corrected to January 1, 2015). In the case of IAEA-385 (marine sediment from the Irish Sea), with the lowest 137Cs activity of 23.3 Bq kg, the 135Cs/137Cs ratio was measured to be 1.21 ± 0.14 (decay corrected to January 1, 2015). For IAEA-330 (Spinach) and IAEA-156 (Clover) (contaminated by radioactive Cs due to the Chernobyl accident), the 135Cs/137Cs ratio was measured to be 0.546 ± 0.031, and 0.541 ± 0.027, respectively (decay corrected to January 1, 2015). Using this ICP-QMS/QMS analytical method, Stäger et al. investigated radiocesium contamination in wild boars from Bavaria.139 Chornobyl has been widely believed to be the prime source of 137Cs in wild boars; however, using the emerging nuclear forensic fingerprint, 135Cs/137Cs ratio, they found that “old” 137Cs from global fallout significantly contributed to the total level (10–68%) in the investigated specimens that exceeded the regulatory limit (600 Bq kg−1).

Zhu et al. compared acid leaching using aqua regia and alkali fusion using LiBO2 for the recovery of radioactive Cs from large-size soil samples (1–60 g).84 Alkali fusion resulted in high recovery of >93% due to the complete decomposition, while acid leaching presented a high leaching efficiency (>85% for samples less than 10 g and even >60% for samples up to 60 g). Given that acid leaching is simple, with easy operation, less time-consuming, and more suitable for the treatment of large-size samples compared with the fusion method, acid leaching using aqua regia with a sample/acid ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]8 at 180 °C for 2 h was recommended and used. After preconcentration by AMP-PAN, NH4HCO3, (NH4)2CO3, NH4F, NH4C2O4, NH4Ac, and NH4Citr solution could directly dissolve the AMP component, similar to ammonia solution. Considering the easy removal of NH4Cl by the heating method based on its sublimation at low temperatures (338 °C), the risk for dangerous explosion of NH4NO3 during heating, and difficulties in the removal of sulfate, NH4Cl was selected to elute Cs+ from the AMP-PAN resin. Based on the low sublimation temperature of NH4Cl (338 °C) but not CsCl, a simple heating method was developed to remove NH4Cl by sublimation. The increased recoveries of Cs from 31% to 99% with the amount of LiCl of 60 mg confirmed that a sufficient amount of particles/salt is important for preventing the loss of Cs during the sublimation of NH4Cl. A 10 mL cation exchange resin (AG50W-X8) in a column of φ1.0 × 20 cm was employed for achieving the better separation of Cs from Ba, Rb, and K. The overall decontamination factors of 4 × 107 for Ba, 4 × 106 for Li, 4 × 105 for Mo, 3 × 105 for Sn, and 2 × 105 for Sb were achieved. Also, the high throughput of 8 samples per 3 days was achieved. The measured 135Cs/137Cs atomic ratios (decay corrected to 1st Feb 2020) in soils collected from Gavle, Sweden and Feofaniya, Ukraine were similar (0.65–0.71), although the 137Cs concentrations (140–1650 Bq kg−1) were significantly different. This indicated that most of the radioactive Cs in these samples originated from the Chernobyl accident fallout. Much higher 135Cs/137Cs atomic ratios (2.08–2.68, decay corrected to 1st Feb 2020), but much lower 137Cs concentrations (3–8 Bq kg−1) were observed in soil samples from Denmark. By calculation, the contributions of radioactive Cs from the Chernobyl accident were estimated to be 31% and 51% for these two soil samples, respectively.

6.3 Selected applications for the measurement of radioactive Sr

Amr et al. investigated ICP-QMS/QMS as a practical, fast, and reliable method for the ultra-trace determination of anthropogenic radionuclides including 90Sr, 137Cs, 238Pu, 239Pu, and 240Pu, considering the accuracy and precision for producing reliable results.51 The radionuclides were extracted from 1 kg of environmental soil samples using concentrated nitric and hydrochloric acid. The concentrations of 90Sr, 137Cs, 238Pu, 239Pu, and 240Pu in certified reference materials (NIST SRM 4354, IAEA-375) were measured for validation. The developed methods were applied to measure the anthropogenic radionuclides in soil samples collected throughout the State of Qatar. The average concentrations of 90Sr, 137Cs, 238Pu, 239Pu, and 240Pu were 0.606 fg g−1 (3.364 Bq kg−1), 0.619 fg g−1 (2.038 Bq kg−1), 0.034 fg g−1 (0.0195 Bq kg−1), 65.59 fg g−1 (0.150 Bq kg−1), and 12.06 fg g−1 (0.103 Bq kg−1), respectively.

Tomita et al. developed a rapid analytical method for determining 90Sr in urine samples (1–2 L) to assess the internal exposure of workers in a radiological emergency.72 Strontium in a urine sample was rapidly separated by phosphate co-precipitation, followed by extraction chromatography, and the 90Sr activity was determined by ICP-QMS/QMS. Measurement in on-mass mode with an O2 reaction gas flow rate of 1 mL min−1 showed no tailing of 88Sr at m/z = 90 up to 50 mg per L Sr. The interferences of Ge, Se and Zr at m/z = 90 were successfully removed by phosphate co-precipitation, followed by extraction chromatography with a tandem column of Pre-filter, Eichrom TRU and Sr resin. This analytical method was validated by the results of the analyses of synthetic urine samples (1.2–1.6 L) containing a known amount of 90Sr together with 1 mg of each of Ge, Se, Sr and Zr. The turnaround time for Sr purification from the urine sample to 90Sr measurement was about 10 h. The detection limit of 90Sr was approximately 1 Bq per urine sample, which was lower than 15 Bq per urine after a day of intake, giving 5 mSv of unplanned exposure of worker limited by the Nuclear Regulation Authority of Japan.

Wang et al. developed an online separation and preconcentration method employing a lab-on-valve system for the analysis of 90Sr in various water/wastewater samples.93 90Sr was separated from 90Zr, an isobaric interference present at high concentrations in many samples, and other matrix components using a dual-column setup (Eichrom DGA-Branched resin and Sr resins). Subsequently, any remaining 90Zr was chemically resolved from the 90Sr in the measurement by ICP-QMS/QMS using O2 and H2 as the reaction gases. This system required small sample volumes (10 mL), minimal sample preparation compared to traditional radiometric, and other ICP-MS techniques and has a processing time of 22 min per sample. Based on a 10 mL sample size, the system limit of detection, limit of quantification and method detection limit (MDL) were 0.47 Bq L−1 (0.09 pg L−1), 1.57 Bq L−1 (0.32 pg L−1) and 1.79 Bq L−1 (0.34 pg L−1), respectively. Recovery of the IAEA 2018 Proficiency Test Exercise water sample (n = 5) was 99% with an RSD of 11.9%. Thus, this method provides a powerful tool for the rapid analysis of low levels of 90Sr.

Suzuki et al. developed a new analytical system that enables the real-time analysis of 90Sr in atmospheric particulate matter with an analytical run time of only 10 min.59 After passage of an air sample through an impactor, a small fraction of the sample is introduced into a gas-exchange device, where the air is replaced by Ar. Then, the sample is directly introduced into the ICP-QMS/QMS for measurement, where the separation of isobaric interferences on 90Sr+ from 90Zr+, 89Y1H+, and 90Y+ was investigated under various reaction gas conditions. The results showed that interferences could be minimized under the optimized conditions of 1 mL per min O2, 10 mL per min H2, and 1 mL per min NH3. The estimated background equivalent concentration and estimated detection limit of the system were 9.7 × 10−4 and 3.6 × 10−4 ng m−3, which are equivalent to 4.9 × 10−6 and 1.8 × 10−6 Bq cm−3, respectively. The recoveries of Sr in PM2.5 measured by real-time analysis compared to that obtained by simultaneously collection on the filter was 53% ± 23%, and using this recovery, the detection limit of PM2.5 was estimated to be 3.4 ± 1.5 × 10−6 Bq cm−3. Specifically, this system enabled the detection of 90Sr at concentrations of <5 × 10−6 Bq cm−3, even considering the insufficient fusion/vaporization/ionization efficiency of Sr in PM2.5.

For 90Sr analysis, the application of O2 as the reaction gas to mitigate isobaric and polyatomic interferences (e.g. 90Zr+ and 89YH+) resulted in serious polyatomic interferences due to oxides (e.g. 72Ge18O+ and 74Ge16O+). Yang et al. developed a rapid 90Sr bioassay in small-amount urine (10–400 mL) using ICP-QMS/QMS, with the introduction of the innovative reaction gas of CO2.137 After organic matter decomposition and chemical separation, stacked DGA and Sr resin cartridges were used directly for the chromatographic separation and purification of Sr. The Sr yields were measured to be 94% ± 5% (n = 12) for the whole procedure, using stable 88Sr originally in the urine sample as a yield tracer. The produced ions in the CRC demonstrated that oxygen transfer and CO2 clusterization occur after the reaction between CO2 and Zr, further mitigating the isobaric interference from 90Zr, compared to the O2 reaction gas. The false signal intensities resulting from 72Ge18O+ and 74Ge16O+ using CO2 reaction gas also deceased to about 1/5 of that using O2 reaction gas. For further method validation, the 90Sr concentrations in urine samples were measured during the PROCORAD (Association for the PROmotion of Quality COntrol in RADiotoxicological Analysis) intercomparison campaign. All the results were in good agreement with the assigned values.

6.4 Selected applications for the measurement of radioactive I

Shikamori et al. reported the first measurement of 129I by ICP-QMS/QMS with O2 as the reaction gas.46 The IDL and the BEC values observed by on-mass measurements of 129I in various concentrations of NIST SRM 3231 Level I were 0.07 pg mL−1 and 0.04 pg mL−1, respectively.

Coralie et al. reported the first mass-shift measurement of 129I by ICP-QMS/QMS with O2 as the reaction gas.138 Measurements with N2O and CO2 as the reaction gases were also performed but showed lower sensitivity than that obtained with O2 reaction. Multiple surfactants were investigated as reagents to improve the sensitivity for measuring iodine. A signal gain of 2.5 was achieved by adding 3% surfactant, while this gain was independent of the type of surfactant. The optimal measurement medium for the measurement of iodine was a solution of 0.1% NH4OH (v/v), 3% Tween 20, and 10 g per L ascorbic acid, achieving the IDL and BEC values of 1.7 pg mL−1 and 2.9 pg mL−1, respectively. A ratio of 3.8 × 10−9 was achieved for the analysis of 129I/127I.

Ohno et al. developed a new method for the determination of 129I in soil samples using ICP-QMS/QMS with O2 as the reaction gas and on-mass measurement with the objective of investigating radioiodine released by the FDNPP accident.135 By measuring the 129I/127I ratio in NIST SRM 3231 Level II standard solution, they demonstrated the reliability of the developed ICP-QMS/QMS method for the measurement of the 129I/127I ratios at a level of 10−8–10−9.

Zhu and Asakawa reported the mass-shift measurement of 129I by ICP-QMS/QMS with on-line generated ozone (ca. 10.5% O3 in O2) as the reaction gas.141 Due to the exothermic reactions, the yields of oxide and dioxide ions of iodine were significantly improved by ozone reaction in comparison to that obtained by oxygen reaction. Using H2 as an additional reaction gas helped reduce the residual spectral interference of 129Xe16O+ with the measurement of 129I+129I16O+, achieving the IDL and the BEC values of 0.062 pg mL−1 and 0.016 pg mL−1, respectively. The best analytical performance for 129I/127I ratio analysis was achieved by measuring (129I+129I16O2+)/(127I+127I16O2+), resulting in a ratio of 6.7 × 10−10 in 500 μg per mL natural iodine solution.

6.5 Selected applications for the measurement of U isotopes

Tanimizu et al. attempted to measure the 236U/238U atom ratios at the environmental level by taking advantage of ICP-QMS/QMS for 236U (236U/238U atom ratio) measurements, the demand of which is increasing in various fields.47 The following approaches were investigated to reduce 235U and 238U tailing and 235U hydride interference: a desolvation system (ARIDUS) was employed, which is effective in improving the sensitivity and reducing hydrides; and uranium was measured as a monoxide by introducing O2 as the reaction gas. Mass fractionation of 236U/238U was corrected using the SRM of Tl isotopes (mass numbers 203 and 205). As a result, the 236U/238U atom ratio could be measured in the range of 10−9 to 10−7.

Jaegler and Gourgiotis measured U isotope ions as their dioxides by introducing N2O as the reaction gas while using a desolvation system (APEX Ω) for sample introduction.117 As a result, tailing from the major isotopes and hydride interference were significantly reduced and the 236U/238U isotope ratio at the 10−11 level could be precisely measured. This method has potential applications in various geochemical studies.

Lindahl et al. conducted a detailed study on the stability of ICP-QMS/QMS in measuring U concentrations and isotope ratios.88 The results showed that the drift could reach up to 100%, which is probably due to the instability of the electronic components/devices associated with the quadrupole. Thus, to solve this problem, corrections were necessary for the accuracy and the precision by means of the appropriate adjustment of the mass resolution and the sample standard bracketing method. This worked showed that the instrumental stability also requires careful attention during the mass spectrometry determination of uranium isotopes.

6.6 Selected applications for the measurement of Pu isotopes

Bradley et al. integrated a microextraction sampling technique with ICP-QMS/QMS for the direct analysis of U and Pu from cotton swipes.112 Once extracted, the sampled U/Pu were directed into the ICP-QMS/QMS, where CO2 and He were introduced as the reaction gases for ion separation. By forming UO+, U was ultimately separated from the Pu+ ions of interest. This study demonstrated the direct liquid extraction of U and Pu from a cotton swipe solid surface and subsequent measurement of both U and Pu isotopes without chemical separation.

Huang et al. reported a rapid analytical method for the simultaneous determination of 238Pu, 239Pu, 240Pu and 241Pu using ICP-QMS/QMS after chemical separation.116 A high decontamination factor of 2.19 × 109 for the most critical interfering element (i.e. U) was obtained with effective chemical separation using two sequential TK200 columns. The interferences of 238U1H+ and 238U+ were effectively eliminated due to their conversion to UNH+ and UNH2+, respectively, with NH3 as the reaction gas for ICP-QMS/QMS. Given that Pu hardly reacts with NH3 and remains as Pu+, on-mass mode measurement was performed to realize the simultaneous determination of the hard-to-measure 238Pu, 239Pu, 240Pu and 241Pu in environmental samples at fg (i.e. 10−15 g) levels.

Zhang et al. developed a method using ICP-QMS/QMS measurement in mass-shift mode with O2 and He as the reaction gases combined with a chemical separation procedure.98 The reaction with O2 gas converted Pu+ to PuO2+, while polyatomic ions of Pb, Hg and Tl were difficult to react with O2 to form new interfering ions at m/z 271 or 272. Thus, when Pu was measured in mass-shift mode at m/z 271 and 272 (PuO2+), the interferences from Pb, Hg and Tl were completely eliminated. In addition, the lower peak tailing of 238U+ (<5 × 10−12) and the reduced 238UO2H+/238UO2+ atomic ratio (4.82 × 10−9) significantly suppressed the 238U-derived interferences. Combined with a UTEVA chromatographic separation, the overall high elimination efficiency of U interferences up to 1014 could be achieved. Thus, the wide application of the developed method for the accurate determination of fg-level 239Pu in high U samples, such as large-size deep seawater, deep layer soil and sediment, uranium debris of nuclear fuel, can be expected.

6.7 Merits of ICP-QMS/QMS for the measurement of radionuclides in comparison to multi-collector (MC-) ICP-MS

MC-ICP-MS is well-known for its capability to measure isotopic ratios at extremely high precision (e.g. relative standard deviation <0.01%) to differentiate samples with minute variations in isotopic ratio (e.g. <0.1%). However, the design of MC-ICP-MS for high-precision measurement has a trade-off of sensitivity, where a U solution of 10 ng mL−1 will be considered as a quite low-level.161

By contrast, radionuclides usually require measurement at lower pg mL−1 or even fg mL−1, as stated in the above-selected applications. As a single detector instrument, ICP-QMS/QMS provides a typical relatively standard deviation of approximately 0.1% to 0.3% for isotopic ratio measurement at 1.0 ng per mL solution. This precision is sufficient for isotopic ratio measurement in radionuclides analysis, considering the large variation in isotopic ratio of over 10 or even 100-fold.

Because of its potential for effective spectral separation without sacrificing sensitivity, ICP-QMS/QMS provides an ideal approach for measuring radionuclides. An additional merit provided by ICP-QMS/QMS is its capability for the quasi-simultaneous screening of multi-radionuclides in the full m/z range (e.g. 2 to 260), while the m/z range measured simultaneously by MC-ICP-MS usually covers a narrower range (e.g. approximately 20).

7 Challenges and prospects for future research

Acid digestion or acid leaching is often used to transform solid samples to solutions, which may be subjected to further chemical separation prior to measurement by ICP-QMS/QMS.78,84,96,110,113 Alkali fusion is also used for the complete dissolution of difficult-to-digest samples.78,96,110 It is notable that fusion with ammonium bifluoride (ABF) has been shown to be an effective method to convert solid samples to solutions prior to elemental analysis.162–168 It can be expected as an alternative to acid digestion/leaching and alkali fusion for the analysis of REEs and radionuclides.

The analysis of radionuclides in solid samples also involved complicated chemical separation with multiple solid phase columns.49,52,57 Thus, it can expected that automation of these chemical separation process will be beneficial for the analysis of radionuclides by ICP-QMS/QMS.11 The works by Ohira's group showed that the use of electrodialytic devices can be an effective approach for the separation and enrichment of trace elements prior to the measurement by an instrument.169,170 This new type of technique may find application in the analysis of REEs and radionuclides by ICP-QMS/QMS in the near future.

The application of various reactive gases (H2, O2, NH3, N2O, CO2, etc.) helped separate spectral interferences in the measurement of REEs and radionuclides. One of the most challenging works in the measurement of radionuclides is the analysis of 238Pu in a uranium matrix, which contains a high concentration of 238U. The application of He and NH3 as the reaction gases resulted in a ratio of 239Pu/238U in the order of 10−9.116 However, a 1.0 ng per mL uranium solution will result in a signal intensity for 238Pu equivalent to 0.2 pg per mL Pu. Further investigation of more effective methods for the separation of Pu and U is required for the direct measurement of a much lower Pu content in a higher concentration of U samples. Ozone has been shown to be effective for separating spectral interferences in the measurement of 129I and may find more applications in the measurement of other RNs.

The Agilent 8800 and 8900 ICP-QMS/QMS have been mostly used in works on radionuclides to date. However, one of their limitations is their upper limit of m/z range for the second quadrupole, which is 260 and 275 for 8800 and 8900, respectively. This configuration limited the investigation of higher order cluster ions of actinides, e.g. the measurement of 238U(14N1H3)3+, requiring a range of up to 289. Extension of this limit to over 300 will be helpful for works on the measurement of actinides by ICP-QMS/QMS, providing sufficient investigation and application about the mechanism of related ion–molecule reactions.

8 Conclusions

ICP-QMS/QMS has been widely investigated and applied in the analysis of REEs and RNs in various research fields since its commercial availability in 2012. The Agilent 8800 and 8900 are mostly used in the works published to date, with the increasing application of iCAP TQ and NexION 5000 in recent years.

In addition to He, H2, O2, and NH3, which are usually standard in the instruments, N2O and CO2 have also been widely used as reaction gases in measurement by ICP-QMS/QMS. The application of N2O and CO2 specially helped separate spectral interferences in measuring RNs of Cs, Sr, U, and Pu.

Acid digestion, acid leaching, and alkali fusion have often been used to convert solid samples to solutions, followed by chemical separation such as SPE, solvent extraction, and coprecipitation.

ICP-QMS/QMS has shown excellent performances for the analysis of REEs and RNs, which is attributed to the effectiveness of separating spectral interferences by using the well-controlled ion–molecule reactions in the reaction cell. Extension of the upper limit of the m/z range of the second quadrupole mass filter will be beneficial for further works on actinides.

Data availability

All the data are presented within the article.

Author contributions

Yanbei Zhu: conceptualization, methodology, writing – original draft preparation (general, I-129, and REEs related), supervision. Guosheng Yang: writing – original draft (Cs related). Aya Sakaguchi: writing – original draft (U related). Tsutomu Miura: writing – original draft (Sr related). Yasuyuki Shikamori: investigation, reviewing and editing. Jian Zheng: conceptualization, methodology, writing – original draft (Pu related), supervision.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

The present work was supported by grants from the Japan Society for the Promotion of Science: 18K19849 (Sakaguchi), 21H03609 (Sakaguchi), 22K05181 (Zhu), 24K01394 (Zhu and Shikamori), JP17K00537 (Zheng), and 22K12384 (Yang and Zheng). The support from the Managing Director's Fund of the Quantum Medical Science Directorate, QST (Zheng and Yang) and the ERAN project P-24-05 (Zheng and Sakaguchi) is also acknowledged.

Notes and references

  1. N. Sugiyama and G. Woods, Application Note, Report 5991-0892JAJP, Agilent Technologies, 2013 Search PubMed.
  2. N. Yamada and J. Takahashi, Bunseki Kagaku, 2018, 67, 249–279 CrossRef CAS.
  3. V. Balaram, Minerals, 2023, 13, 1031 CAS.
  4. S. Diez-Fernández, H. Isnard, A. Nonell, C. Bresson and F. Chartier, J. Anal. At. Spectrom., 2020, 35, 2793–2819 Search PubMed.
  5. V. Balaram, Rapid Commun. Mass Spectrom., 2021, 35, e9065 CAS.
  6. W. T. Bu, J. Zheng, X. M. Liu, K. M. Long, S. Hu and S. Uchida, Spectrochim. Acta B Atom Spectrosc., 2016, 119, 65–75 CAS.
  7. O. T. Butler, W. R. L. Cairns, J. M. Cook and C. M. Davidson, J. Anal. At. Spectrom., 2015, 30, 21–63 CAS.
  8. O. T. Butler, W. R. L. Cairns, J. M. Cook, C. M. Davidson and R. Mertz-Kraus, J. Anal. At. Spectrom., 2018, 33, 8–56 Search PubMed.
  9. Q. Ma, Z. M. Yang, Y. H. Yang and Z. Y. Chu, Ore Geol. Rev., 2023, 163, 105764 Search PubMed.
  10. Y. B. Zhu, T. Ariga, K. Nakano and Y. Shikamori, Atom. Spectrosc., 2021, 42, 299–309 CAS.
  11. Y. Y. Ni, Y. Liu, W. T. Bu, C. T. Yang and S. Hu, TrAC, Trends Anal. Chem., 2023, 168, 117329 CrossRef CAS.
  12. W. M. Wu, H. L. Liu and T. F. Zheng, Chin. J. Anal. Chem., 2015, 43, 697–702 CAS.
  13. J. Song, X.-C. Zeng, D. Yan and W.-M. Wu, Application Note, Report 5991-5400JAJP, Agilent technology, 2015 Search PubMed.
  14. C. Labrecque, P. J. Lebed and D. Larivière, J. Environ. Radioact., 2016, 155, 15–22 CrossRef PubMed.
  15. A. Santoro, V. Thoss, S. R. Guevara, D. Urgast, A. Raab, S. Mastrolitti and J. Feldmann, Appl. Radiat. Isot., 2016, 107, 323–329 CrossRef CAS PubMed.
  16. S. C. Wu, X. C. Zeng, X. F. Dai, Y. P. Hu, G. Li and C. J. Zheng, Spectrochim. Acta B Atom Spectrosc., 2016, 123, 129–133 CAS.
  17. L. Whitty-Léveillé, K. Turgeon, C. Bazin and D. Larivière, Anal. Chim. Acta, 2017, 961, 33–41 Search PubMed.
  18. A. L. Galusha, P. C. Kruger, L. J. Howard and P. J. Parsons, J. Trace Elem. Med. Biol., 2018, 47, 156–163 CAS.
  19. X. M. Zhang, X. F. Zeng, L. B. Liu, X. L. Lan, J. Huang, H. X. Zeng, R. Li, K. Q. Luo, W. Wu, M. H. Zhou and S. J. Li, Oncol. Lett., 2018, 15, 4121–4128 Search PubMed.
  20. N. Korf, A. N. Lovik, R. Figi, C. Schreiner, C. Kuntz, P. M. Mählitz, M. Rösslein, P. Wäger and V. S. Rotter, Waste Manage., 2019, 92, 124–136 CAS.
  21. Y. Zhang, Z. B. Pan, P. C. Jiao, J. Ju, T. He, T. C. Duan and H. Q. Cai, Atom. Spectrosc., 2019, 40, 167–172 CrossRef CAS.
  22. Y. B. Zhu, Talanta, 2020, 209, 120536 Search PubMed.
  23. X. T. Ding, W. T. Bu, Y. Y. Ni, X. P. Shao, K. Xiong, C. T. Yang and S. Hu, J. Anal. At. Spectrom., 2021, 36, 2144–2152 RSC.
  24. B. T. Manard, D. A. Bostick, S. C. Metzger, B. W. Ticknor, N. A. Zirakparvar, K. T. Rogers and C. R. Hexel, Spectrochim. Acta B Atom Spectrosc., 2021, 179, 11 Search PubMed.
  25. G. Olszewski, P. Lindahl, P. Frisk, M. Eriksson and H. B. L. Pettersson, Talanta, 2021, 229, 5 CrossRef PubMed.
  26. A. Simpson, S. Gilbert, R. Tamblyn, M. Hand, C. Spandler, J. Gillespie, A. Nixon and S. Glorie, Chem. Geol., 2021, 577, 120299 CrossRef CAS.
  27. Y. B. Zhu, K. Nakano, Y. Shikamori and A. Itoh, Spectrochim. Acta B Atom Spectrosc., 2021, 179, 106100 CrossRef CAS.
  28. J. Gillespie, C. L. Kirkland, P. D. Kinny, A. Simpson, S. Glorie and K. Rankenburg, Geochim. Cosmochim. Acta, 2022, 338, 121–135 CrossRef CAS.
  29. O. Klein, T. Zimmermann, L. Hildebrandt and D. Pröfrock, Sci. Total Environ., 2022, 852, 158464 CrossRef CAS PubMed.
  30. K. L. LeBlanc, K. Nadeau, J. Meija, L. Yang, P. A. Babay, M. A. Bavio, C. Boome, D. Chipley, R. S. C. Leguizamón, J. Denton, D. L. Drew, M. A. Fernández, V. Fugaru, V. D. Genetti, F. Gonzalez, J. D. Inglis, S. Jovanovic, E. Keegan, T. Kell, Y. Kimura, W. Kinman, S. Kiser, R. E. Lindvall, E. Loi, K. Mayer, J. F. Mercier, R. Millar, A. Nicholl, L. Orlovskaya, J. L. Ramella, A. Serban, M. A. Sharp, Y. Q. Shi, C. Tóbi, L. Valenzuela, Z. Varga, A. Vesterlund, M. Virgolici, H. Yamazaki, E. N. Zubillaga, A. El-Jaby and Z. Mester, J. Radioanal. Nucl. Chem., 2022, 331, 4031–4045 CrossRef CAS.
  31. T. Miura and A. Wada, Front. Chem., 2022, 10, 888636 CrossRef CAS PubMed.
  32. D. Subarkah, M. L. Blades, A. S. Collins, J. Farkas, S. Gilbert, S. C. Löhr, A. Redaa, E. Cassidy and T. Zack, Geology, 2022, 50, 66–70 CrossRef CAS.
  33. Y. B. Zhu, Front. Chem., 2022, 10, 912938 CAS.
  34. S. Glorie, J. Mulder, M. Hand, A. Fabris, A. Simpson and S. Gilbert, Geosci. Front., 2023, 14, 101629 CAS.
  35. M. L. Harsha, E. A. Whisenhant, D. Hebert, J. Y. Do, C. Pham, P. Zito, D. C. Podgorski and P. L. Tomco, Environ. Sci. Technol. Lett., 2023, 10, 747–754 CAS.
  36. A. Naccarato, M. L. Vommaro, D. Amico, F. Sprovieri, N. Pirrone, A. Tagarelli and A. Giglio, Toxics, 2023, 11, 499 CAS.
  37. C. Telloli, S. Tagliavini, F. Passarini, S. Salvi and A. Rizzo, Food Chem., 2023, 402, 134247 CAS.
  38. L. W. Yang, T. Yang, J. T. Li, Y. B. Lin and H. F. Ling, Ore Geol. Rev., 2023, 158, 105480 Search PubMed.
  39. H. Y. Zhang, B. Fu, J. Wang, X. L. Ma, G. Q. Luo and H. Yao, Spectrosc. Spectr. Anal., 2023, 43, 2074–2081 CAS.
  40. Z. Aktar and K. Toyoda, Environ. Sci. Technol. Lett., 2024, 11, 598–603 CAS.
  41. F. Gaidies, T. McCarron, A. D. Simpson, R. M. Easton, S. Glorie, B. Putlitz and K. Trebus, J. Metamorph. Geol., 2024, 42, 35–61 CAS.
  42. S. C. Löhr, C. Spandler and A. Baldermann, Geochim. Cosmochim. Acta, 2024, 366, 48–64 Search PubMed.
  43. D. Wippermann, A. Zonderman, T. Zimmermann and D. Pröfrock, Anal. Bioanal. Chem., 2024, 416, 2797–2807 CAS.
  44. V. K. Zepeda, B. S. Kamber and O. Y. A. Ghidan, Chem. Geol., 2024, 647, 121827 CrossRef CAS.
  45. S. H. Al-Meer, M. A. Amr, A. I. Helal and A. T. Al-Kinani, Radioact. Waste Manage., 2013, 2, 96160 Search PubMed.
  46. Y. Shikamori, K. Nakano, N. Sugiyama and S. Kakuda, Application Note, Report 5991-0321JAJP, Agilent Technologies, 2013 Search PubMed.
  47. M. Tanimizu, N. Sugiyama, E. Ponzevera and G. Bayon, J. Anal. At. Spectrom., 2013, 28, 1372–1376 CAS.
  48. T. Ohno and Y. Muramatsu, J. Anal. At. Spectrom., 2014, 29, 347–351 RSC.
  49. J. Zheng, W. T. Bu, K. Tagami, Y. Shikamori, K. Nakano, S. Uchida and N. Ishii, Anal. Chem., 2014, 86, 7103–7110 CrossRef CAS PubMed.
  50. R. S. Pappas, N. Martone, N. Gonzalez-Jimenez, M. R. Fresquez and C. H. Watson, J. Anal. Toxicol., 2015, 39, 347–352 CAS.
  51. M. A. Amr, A. F. I. Helal, A. T. Al-Kinani and P. Balakrishnan, J. Environ. Radioact., 2016, 153, 73–87 CrossRef CAS PubMed.
  52. L. G. Cao, J. Zheng, H. Tsukada, S. M. Pan, Z. T. Wang, K. Tagami and S. Uchida, Talanta, 2016, 159, 55–63 CrossRef CAS PubMed.
  53. N. Sugiyama, Application Note, Report 5991-6553JAJP, Agilent Technologies, 2016 Search PubMed.
  54. G. S. Yang, H. Tazoe and M. Yamada, Anal. Chim. Acta, 2016, 944, 44–50 CrossRef CAS PubMed.
  55. G. S. Yang, H. Tazoe and M. Yamada, Sci. Rep., 2016, 6, 8 CrossRef PubMed.
  56. G. S. Yang, H. Tazoe and M. Yamada, Anal. Chim. Acta, 2016, 908, 177–184 CrossRef CAS PubMed.
  57. J. Zheng, L. G. Cao, K. Tagami and S. Uchida, Anal. Chem., 2016, 88, 8772–8779 CrossRef CAS PubMed.
  58. B. Russell, M. García-Miranda and P. Ivanov, Appl. Radiat. Isot., 2017, 126, 35–39 CrossRef CAS PubMed.
  59. Y. Suzuki, R. Ohara and K. Matsunaga, Spectrochim. Acta B Atom Spectrosc., 2017, 135, 82–90 CrossRef CAS.
  60. E. M. van Es, B. C. Russell, P. Ivanov and D. Read, Appl. Radiat. Isot., 2017, 126, 31–34 CrossRef CAS PubMed.
  61. G. S. Yang, H. Tazoe, K. Hayano, K. Okayama and M. Yamada, Sci. Rep., 2017, 7, 8 Search PubMed.
  62. L. Fu, S. Y. Shi, Y. G. Tang and H. Y. Wang, Spectrosc. Spectr. Anal., 2018, 38, 2588–2594 CAS.
  63. T. Lu, X. L. Hou, L. Y. Zhang, N. Chen, W. C. Zhang and Y. Y. Wang, Chin. J. Anal. Chem., 2018, 46, 1137–1144 CAS.
  64. J. X. Qiao and Y. H. Xu, Talanta, 2018, 183, 18–23 CrossRef CAS PubMed.
  65. T. Suzuki, T. Yamamura, C. Abe, K. Konashi and Y. Shikamori, J. Radioanal. Nucl. Chem., 2018, 318, 221–225 CrossRef CAS.
  66. S. Xing, W. C. Zhang, J. X. Qiao and X. L. Hou, Talanta, 2018, 187, 357–364 CrossRef CAS PubMed.
  67. E. Braysher, B. Russell, S. Woods, M. Garcia-Miranda, P. Ivanov, B. Bouchard and D. Read, J. Radioanal. Nucl. Chem., 2019, 321, 183 CrossRef CAS.
  68. X. L. Hou, W. C. Zhang and Y. Y. Wang, Anal. Chem., 2019, 91, 11553–11561 CrossRef CAS PubMed.
  69. H. Jaegler, F. Pointurier, S. Diez-Fernández, A. Gourgiotis, H. Isnard, S. Hayashi, H. Tsuji, Y. Onda, A. Hubert, J. P. Laceby and O. Evrard, Chemosphere, 2019, 225, 849–858 CrossRef CAS PubMed.
  70. Y. Shao, G. S. Yang, D. D. Xu, M. Yamada, H. Tazoe, M. Luo, H. X. Cheng, K. Yang and L. L. Ma, J. Environ. Radioact., 2019, 197, 1–8 CrossRef CAS PubMed.
  71. L. Y. D. Tiong and S. M. Tan, J. Radioanal. Nucl. Chem., 2019, 322, 399–406 CAS.
  72. J. Tomita and E. Takeuchi, Appl. Radiat. Isot., 2019, 150, 103–109 CrossRef CAS PubMed.
  73. P. E. Warwick, B. C. Russell, I. W. Croudace and Z. Zacharauskas, J. Anal. At. Spectrom., 2019, 34, 1810–1821 CAS.
  74. S. Xing, M. Y. Luo, Y. Wu, D. Q. Liu and X. X. Dai, J. Anal. At. Spectrom., 2019, 34, 2027–2034 RSC.
  75. G. S. Yang, J. Hu, H. Tsukada, H. Tazoe, Y. Shao and M. Yamada, Environ. Pollut., 2019, 250, 578–585 CrossRef CAS PubMed.
  76. G. S. Yang, M. S. Rahman, H. Tazoe, J. Hu, Y. Shao and M. Yamada, Chemosphere, 2019, 225, 388–394 CrossRef CAS PubMed.
  77. W. C. Zhang, S. Xing and X. L. Hou, Soil Tillage Res., 2019, 191, 162–170 CrossRef.
  78. C. Dalencourt, J. C. Tremblay-Cantin and D. Larivière, J. Radioanal. Nucl. Chem., 2020, 326, 1597–1607 CrossRef CAS.
  79. S. Diez-Fernández, H. Jaegler, C. Bresson, F. Chartier, O. Evrard, A. Hubert, A. Nonell, F. Pointurier and H. Isnard, Talanta, 2020, 206, 8 Search PubMed.
  80. R. Q. Gao, X. L. Hou, L. Y. Zhang, W. C. Zhang and M. T. Zhang, Chin. J. Anal. Chem., 2020, 48, 765–773 CAS.
  81. H. Jaegler, A. Gourgiotis, P. Steier, R. Golser, O. Diez and C. Cazala, Anal. Chem., 2020, 92, 7869–7876 CrossRef CAS PubMed.
  82. J. L. Mas, P. Aparicio, E. Galán, A. Romero-Baena, A. Miras, A. Yuste and D. Martín, Appl. Clay Sci., 2020, 196, 10 CrossRef.
  83. T. Thabit, D. I. H. Elgeddawy and S. A. Shokr, J. AOAC Int., 2020, 103, 1282–1287 CrossRef PubMed.
  84. L. C. Zhu, X. L. Hou and J. X. Qiao, Anal. Chem., 2020, 92, 7884–7892 CrossRef CAS PubMed.
  85. M. F. Alam, J. Hu, G. S. Yang, A. Ullah, M. I. Khalil, A. Kibria, I. M. M. Rahman, K. Nanba and M. Yamada, J. Radioanal. Nucl. Chem., 2021, 330, 103–111 CrossRef CAS.
  86. W. T. Bu, M. Gu, X. T. Ding, Y. Y. Ni, X. P. Shao, X. M. Liu, C. T. Yang and S. Hu, J. Anal. At. Spectrom., 2021, 36, 2330–2337 RSC.
  87. A. L. Galusha, L. J. Howard, P. C. Kruger, T. Marks and P. J. Parsons, J. Parenter. Enter. Nutr., 2021, 45, 175–182 CrossRef CAS PubMed.
  88. P. Lindahl, G. Olszewski and M. Eriksson, J. Anal. At. Spectrom., 2021, 36, 2164–2172 RSC.
  89. Y. Y. Ni, W. T. Bu, K. Xiong, X. T. Ding, H. Wang, X. M. Liu, K. M. Long and S. Hu, Microchem. J., 2021, 169, 6 CrossRef.
  90. B. Russell, S. L. Goddard, H. Mohamud, O. Pearson, Y. Zhang, H. Thompkins and R. J. C. Brown, J. Anal. At. Spectrom., 2021, 36, 2704–2714 RSC.
  91. B. Russell, H. Mohamud, M. G. Miranda, P. Ivanov, H. Thompkins, J. Scott, P. Keen and S. Goddard, J. Anal. At. Spectrom., 2021, 36, 845–855 CAS.
  92. W. Wang, R. D. Evans and H. E. Evans, Talanta, 2021, 233, 10 Search PubMed.
  93. W. Wang, R. D. Evans, K. Newman and R. Khokhar, Talanta, 2021, 222, 8 Search PubMed.
  94. Y. Y. Wang, X. L. Hou, W. C. Zhang, L. Y. Zhang and Y. K. Fan, Talanta, 2021, 224, 10 Search PubMed.
  95. Y. Wu, Y. H. Xu, S. Xing, X. X. Dai, N. Yuan and M. Y. Luo, Spectrochim. Acta B Atom Spectrosc., 2021, 184, 7 Search PubMed.
  96. S. Xing, M. Y. Luo, N. Yuan, D. Q. Liu, Y. Yang, X. X. Dai, W. C. Zhang and N. Chen, Atom. Spectrosc., 2021, 42, 62–70 CAS.
  97. G. S. Yang, J. Zheng, E. Kim, S. Zhang, H. Seno, M. Kowatari, T. Aono and O. Kurihara, Anal. Chim. Acta, 2021, 1158, 10 Search PubMed.
  98. W. C. Zhang, J. F. Lin, S. Fang, C. Li, X. W. Yi, X. L. Hou, N. Chen, H. T. Zhang, Y. H. Xu, H. J. Dang, W. Wang and J. Xu, Talanta, 2021, 234, 9 Search PubMed.
  99. W. C. Zhang, H. T. Zhang, S. Fang, X. L. Hou, L. Y. Zhang, H. J. Dang, X. W. Yi, S. J. Zhai, W. Wang and J. Xu, Spectrochim. Acta B Atom Spectrosc., 2021, 178, 8 Search PubMed.
  100. L. C. Zhu, X. L. Hou and J. X. Qiao, Talanta, 2021, 221, 9 Search PubMed.
  101. D. Zok, T. Blenke, S. Reinhard, S. Sprott, F. Kegler, L. Syrbe, R. Querfeld, Y. Takagai, V. Drozdov, I. Chyzhevskyi, S. Kirieiev, B. Schmidt, W. Adlassnig, G. Wallner, S. Dubchak and G. Steinhauser, Environ. Sci. Technol., 2021, 55, 4984–4991 CrossRef CAS PubMed.
  102. W. T. Bu, L. Yang, L. Tang, K. Xiong, Y. Y. Ni, C. T. Yang and S. Hu, J. Anal. At. Spectrom., 2022, 37, 1174–1178 RSC.
  103. J. L. Fan, Y. F. Wang, X. F. Zhai, G. W. Chen, Z. M. Li, W. C. Zhang and T. Bai, J. Radioanal. Nucl. Chem., 2022, 331, 3025–3031 CAS.
  104. A. Magre, B. Boulet, L. Pourcelot, M. Roy-Barman, A. D. Ott and C. Ardois, J. Radioanal. Nucl. Chem., 2022, 331, 4067–4076 CrossRef CAS.
  105. M. Matsueda, J. Aoki, K. Koarai, M. Terashima and Y. Takagai, Anal. Sci., 2022, 38, 1371–1376 CrossRef CAS PubMed.
  106. M. Matsueda, T. Kawakami, K. Koarai, M. Terashima, K. Fujiwara, K. Iijima, M. Furukawa and Y. Takagai, Chem. Lett., 2022, 51, 678–682 CAS.
  107. Y. Y. Ni, W. T. Bu, X. T. Ding, K. Xiong, H. L. Wang, C. T. Yang, S. Hu and W. Men, J. Anal. At. Spectrom., 2022, 37, 919–928 CAS.
  108. T. Ohno, N. Sato, J. Shikimori, Y. Ijichi, Y. Fukami and Y. Igarashi, Sci. Total Environ., 2022, 810, 7 Search PubMed.
  109. Y. H. Xu, C. Li, H. P. Yu, F. M. Fang, X. L. Hou, C. Zhang, X. F. Li and S. Xing, Talanta, 2022, 240, 9 Search PubMed.
  110. L. Yang, W. T. Bu, K. Xiong, Y. Q. Yang and T. Z. Yang, Spectrochim. Acta B Atom Spectrosc., 2022, 198, 6 Search PubMed.
  111. W. C. Zhang, J. F. Lin, H. T. Zhang, S. Fang, C. Li, X. W. Yi, H. J. Dang, Y. H. Xu, W. Wang and J. Xu, J. Anal. At. Spectrom., 2022, 37, 1044–1052 CAS.
  112. V. C. Bradley, B. W. Ticknor, D. R. Dunlap, N. A. Zirakparvar, S. C. Metzger, C. R. Hexel and B. T. Manard, Anal. Chem., 2023, 95, 15867–15874 CAS.
  113. C. Carrier, A. Habibi, L. Ferreux, L. Solier, D. Hebert, C. Augeray, M. Morin, D. Maro and L. Benedetti, J. Radioanal. Nucl. Chem., 2023, 332, 2003–2015 CrossRef CAS.
  114. S. M. Dowell, T. S. Barlow, S. R. Chenery, O. S. Humphrey, J. Isaboke, W. H. Blake, O. Osano and M. J. Watts, Anal. Methods, 2023, 10,  10.1039/d3ay01030a.
  115. Z. Huang, X. L. Hou, J. X. Qiao and X. Zhao, Talanta, 2023, 265, 9 Search PubMed.
  116. Z. Huang, X. L. Hou and X. Zhao, Anal. Chem., 2023, 9,  DOI:10.1021/acs.analchem.3c02526.
  117. H. Jaegler and A. Gourgiotis, J. Anal. At. Spectrom., 2023, 38, 1914–1919 RSC.
  118. H. Kazama, K. Konashi, T. Suzuki, S. Koyama, K. Maeda, Y. Sekio, T. Onishi, C. Abe, Y. Shikamori and Y. Nagai, J. Anal. At. Spectrom., 2023, 38, 1676–1681 RSC.
  119. A. Magre, B. Boulet, A. de Vismes, O. Evrard and L. Pourcelot, Environ. Pollut., 2023, 329, 10 CrossRef PubMed.
  120. A. Magre, B. Boulet, H. Isnard, S. Mialle, O. Evrard and L. Pourcelot, Anal. Chem., 2023, 95, 6923–6930 CrossRef CAS PubMed.
  121. Y. Y. Ni, W. T. Bu, K. Xiong, S. Hu, C. T. Yang and L. G. Cao, Talanta, 2023, 262, 8 CrossRef PubMed.
  122. B. C. Russell, P. E. Warwick, H. Mohamud, O. Pearson, Y. Yu, H. Thompkins, S. L. Goddard, I. W. Croudace and Z. Zacharauskas, J. Anal. At. Spectrom., 2023, 38, 97–110 RSC.
  123. Y. Sakakieda, K. Hosokawa, F. Nakanishi, Y. Hino, Y. Inome, A. Sakaguchi, Y. Takaku, S. Yamasaki, K. Sueki, M. Ikeda and H. Sekiya, Prog. Theor. Exp. Phys., 2023, 2023, 103H01 CAS.
  124. K. Xiong, W. T. Bu, Y. Y. Ni, X. M. Liu, J. Zheng, T. Aono, C. T. Yang and S. Hu, Microchem. J., 2023, 190, 7 Search PubMed.
  125. G. S. Yang, E. Kim, H. Seno, M. Kowatari and O. Kurihara, J. Radioanal. Nucl. Chem., 2023, 9,  DOI:10.1007/s10967-023-09240-5.
  126. Y. Yang, M. Y. Luo, Y. Wu, N. Yuan, J. J. He, H. M. Guo and Q. An, J. Environ. Radioact., 2023, 270, 9 Search PubMed.
  127. A. D. French, K. M. Melby, K. P. Hobbs, R. M. Cox, G. Eiden, E. W. Hoppe, I. J. Arnquist and K. Harouaka, Talanta, 2024, 272, 9 CrossRef PubMed.
  128. K. P. Hobbs, A. D. French, K. M. Melby, E. J. Bylaska, K. Harouaka, R. M. Cox, I. J. Arnquist and C. L. Beck, Anal. Chem., 2024, 96, 5807–5814 CAS.
  129. K. Ichimura, K. Chiba, Y. Gando, H. Ikeda, Y. Kishimoto, M. Kurasawa, K. Nemoto, A. Sakaguchi, Y. Takaku and Y. Sakakieda, Prog. Theor. Exp. Phys., 2024, 2024, 063H01 CAS.
  130. T. J. Kell and S. V. Jovanovic, J. Radioanal. Nucl. Chem., 2024, 6,  DOI:10.1007/s10967-023-09317-1.
  131. C. Y. Peng, J. Sun, F. Zhang, S. Xing, X. C. Liu, C. C. Chen, X. L. Hou, K. L. Shi and W. S. Wu, Anal. Chem., 2024, 96, 2514–2523 CAS.
  132. J. C. Tremblay-Cantin, L. Martin, M. Proulx, N. D. Priest and D. Larivière, J. Environ. Radioact., 2024, 274, 11 Search PubMed.
  133. W. Wang, J. Xu, R. Y. Xi, S. Q. Guo, Y. Y. Su, S. Fang, H. T. Zhang, Y. L. Wang, J. L. Fan, L. Feng, Y. F. Wang and Z. M. Li, J. Anal. At. Spectrom., 2024, 39, 178–189 CAS.
  134. Y. C. Wang, M. T. Zhang and X. L. Hou, Chin. J. Anal. Chem., 2024, 52, 706–716 CAS.
  135. T. Ohno, Y. Muramatsu, Y. Shikamori, C. Toyama, N. Okabe and H. Matsuzaki, J. Anal. At. Spectrom., 2013, 28, 1283–1287 CAS.
  136. G. Yang, H. Tazoe and M. Yamada, Anal. Chim. Acta, 2018, 1008, 66–73 CAS.
  137. G. S. Yang, H. Tazoe, E. Kim, J. Zheng, M. Kowatari and O. Kurihara, J. Anal. At. Spectrom., 2023, 38, 2562–2570 CAS.
  138. C. Coralie, H. Azza, A. Michelle, A. Celine, B. Didier, M. Denis and B. Lucilla, J. Anal. At. Spectrom., 2022, 37, 1309–1317 RSC.
  139. F. Stäger, D. Zok, A. K. Schiller, B. Feng and G. Steinhauser, Environ. Sci. Technol., 2023, 57, 13601–13611 CrossRef PubMed.
  140. Ä. Zacharauskas, P. Warwick, B. Russell, D. Reading and I. Croudace, J. Anal. At. Spectrom., 2023, 38, 1431–1441 RSC.
  141. Y. B. Zhu and D. Asakawa, iScience, 2024, 27, 111138 CrossRef CAS PubMed.
  142. A. Ebeling, T. Zimmermann, O. Klein, J. Irrgeher and D. Pröfrock, Geostand. Geoanal. Res., 2022, 46, 351–378 CAS.
  143. S. V. Jovanovic and T. Kell, J. Radioanal. Nucl. Chem., 2021, 329, 319–326 CAS.
  144. H. Kominami and Y. Suzuki, Bunseki Kagaku, 2017, 66, 825–837 CAS.
  145. R. Mortazavi, S. Attiya and P. A. Ariya, Sci. Total Environ., 2019, 690, 277–289 CAS.
  146. A. Przibilla, S. Iwainski, T. Zimmermann and D. Pröfrock, Water Environ. Res., 2023, 95, e10922 CrossRef CAS PubMed.
  147. A. Reese, T. Zimmermann, D. Pröfrock and J. Irrgeher, Sci. Total Environ., 2019, 668, 512–523 CAS.
  148. M. Sojka, A. Choinski, M. Ptak and M. Siepak, Sci. Rep., 2021, 11, 244 CrossRef CAS PubMed.
  149. M. Sojka, A. Choinski and M. Siepak, Land Degrad. Dev., 2024, 35, 3407–3421 CrossRef.
  150. M. Sojka, M. Siepak and K. Pietrewicz, J. Elementol., 2019, 24, 125–140 Search PubMed.
  151. C. Telloli, F. Cicconi, E. Manzi, F. Borgognoni, S. Salvi, M. C. Iapalucci and A. Rizzo, Food Chem., 2024, 450, 139370 CAS.
  152. S. Trimmel, T. C. Meisel, S. T. Lancaster, T. Prohaska and J. Irrgeher, Anal. Bioanal. Chem., 2023, 415, 1159–1172 CrossRef CAS PubMed.
  153. T. Zimmermann, M. von der Au, A. Reese, O. Klein, L. Hildebrandt and D. Pröfrock, Anal. Methods, 2020, 12, 3778–3787 CAS.
  154. Z. T. Wang, J. Zheng, Y. Y. Ni, W. Men, K. Tagami and S. Uchida, Anal. Chem., 2017, 89, 2221–2226 CAS.
  155. N. Suguyama and K. Nakano, Reaction Data for 70 Elements Using O2 , NH3 and H2 Gases with the Agilent 8800 Triple Quadrupole ICP-MS, Report 5991-4585EN, 2014 Search PubMed.
  156. S. T. Lancaster, T. Prohaska and J. Irrgeher, J. Anal. At. Spectrom., 2023, 38, 1135–1145 RSC.
  157. Y. B. Zhu, Chem. Commun., 2024, 60, 3974–3977 CAS.
  158. Y. B. Zhu and A. Itoh, Anal. Chim. Acta, 2021, 1180, 338854 Search PubMed.
  159. J. Zheng and M. Yamada, Talanta, 2006, 69, 1246–1253 CrossRef CAS PubMed.
  160. A. Held and P. D. P. Taylor, J. Anal. At. Spectrom., 1999, 14, 1075–1079 CAS.
  161. R. Muragan, N. Veerasamy, Y. Zhao, T. Aono and S. K. Sahoo, Int. J. Mass Spectrom., 2021, 467, 116623 CrossRef.
  162. V. C. Bradley, T. M. Weilert and J. D. Brockman, Talanta, 2021, 221, 121622 CrossRef CAS PubMed.
  163. N. T. Hubley, J. D. Brockman and J. D. Robertson, Radiochim. Acta, 2017, 105, 629–635 CrossRef CAS.
  164. N. T. Hubley, D. L. Wegge, T. M. Weilert, C. P. Leibman, M. S. Rearick, J. D. Robertson and J. D. Brockman, J. Radioanal. Nucl. Chem., 2018, 318, 49–54 CrossRef CAS.
  165. C. A. Mason, N. T. Hubley, J. D. Robertson, D. L. Wegge and J. D. Brockman, Radiochim. Acta, 2017, 105, 1059–1070 CrossRef CAS.
  166. M. J. O'Hara, C. M. Kellogg, C. M. Parker, S. S. Morrison, J. F. Corbey and J. W. Grate, Chem. Geol., 2017, 466, 341–351 Search PubMed.
  167. G. Ujvári, U. Klötzli, M. Horschinegg, W. Wegner, D. Hippler, G. I. Kiss and L. Palcsu, Rapid Commun. Mass Spectrom., 2021, 35, e9081 Search PubMed.
  168. H. Wang, Y. Y. Ni, J. Zheng, Z. Y. Huang, D. T. Xiao and T. Aono, Anal. Chim. Acta, 2019, 1050, 71–79 CAS.
  169. Y. Okazaki, S. Hoshi, T. Kato, T. Fukui, K. Toda and S. I. Ohira, ACS Omega, 2022, 7, 14082–14088 CAS.
  170. Y. Sugo, R. Miyachi, Y. H. Maruyama, S. I. Ohira, M. Mori, N. S. Ishioka and K. Toda, Anal. Chem., 2020, 92, 14953–14958 CAS.

This journal is © The Royal Society of Chemistry 2025
Click here to see how this site uses Cookies. View our privacy policy here.