Éderson R.
Pereira
ab,
Johannes F.
Kopp
b,
Andrea
Raab
b,
Eva M.
Krupp
b,
Javier del Campo
Menoyo
c,
Eduardo
Carasek
a,
Bernhard
Welz
a and
Jörg
Feldmann
*b
aDepartamento de Química, Universidade Federal de Santa Catarina, 88040-900 Florianópolis, SC, Brazil
bTrace Element Speciation Laboratory (TESLA), Department of Chemistry, University of Aberdeen, Meston Walk, Aberdeen AB243UE, Scotland, UK. E-mail: j.feldmann@abdn.ac.uk; Tel: +44 (0)1224272911
cGolden Omega S.A., Arica, Chile
First published on 29th June 2016
This study describes the identification and quantification of five new arsenolipids present in raw marine fish oil extracted mainly from Peruvian anchoveta (Engraulis ringens). The arsenolipids accumulated on bentonite, which has been used to clean-up raw fish oils in an industrial process for producing commercial fish oil rich in omega-3 fatty acids. The bentonite, which adsorbed the arsenolipids efficiently from the raw fish oil was extracted with different solvents and subsequently cleaned up by normal phase chromatography, which fractionated all absorbed compounds according to polarity. The arsenic containing fatty acids (AsFA) and arsenic containing hydrocarbons (AsHC) were determined using a separation by reverse phase high performance liquid chromatography coupled online to inductively coupled plasma mass spectrometry (RP-HPLC-ICP-MS) for quantification and simultaneously to electrospray ionization mass spectrometry (ESI-MS) for identification. A mixture of methanol/chloroform (1:2 v/v) was sufficient for the extraction of the majority of the adsorbed arsenic species (129 μg g−1 As bentonite). The pre-concentration using the adsorbent with subsequent fractionation made it possible to identify minor arsenolipids especially in the polar methanol fraction. Besides two major arsenic containing hydrocarbons (AsHC332 and AsHC360) three new arsenic containing medium chain fatty acids (As-MCFA) of molecular mass 250, 278, 292 and two new arsenic containing long chain fatty acids (As-LCFA) of mass 306 and 320 could be identified although their concentrations were as low as 0.004 μg g−1 As bentonite. The significance of MCFA is that these compounds usually occur not as free fatty acids but are conjugated to glycerol forming triglycerides. Confirmation of this hypothesis is given in the fact that a methanol extract which was directly analyzed without any clean up procedure did only contain traces of As-LCFA and no As-MCFA but the same concentration of the more inert AsHCs, which are not expected to be conjugated to other organic compounds. This highlights that a successful pre-concentration and clean up procedure is essential to determine traces of minor arsenolipids but it does not provide a guarantee for the integrity of all arsenolipid species.
These positive health effects from fish oil have forced the industries to increase the amount of extracted fish oil and different processes of purification have been adopted in order to eliminate toxic contaminants from the final product.4 Among the procedures used to clean-up the fish oil, distillation is generally employed together with some kind of adsorbing agent, such as activated carbon, mussel shells, wood washes and recently, the clay mineral bentonite.5 The latter one has interesting properties such as a cation exchange capacity, high surface area, great physical and chemical stability, and surface properties making the bentonite an excellent adsorbent for industrial processes to remove organic compounds such as PCBs and inorganic contaminants.5–7
Amongst the toxic organometallic contaminants in fish oil are the fat-soluble arsenic species. The so-called arsenolipids are present as dimethylarsinoyl fatty acid (AsFA) or dimethylarsinoyl hydrocarbons (AsHC). Those arsenolipids have only recently been identified in different fish species such as cod,8–11 capelin,9,12–14 and blue whiting fish.15 For analysis these studies have mainly used the partitioning of arsenolipids in a variety of solvents with different polarities (mostly hexane plus aqueous methanol)13–15 or successive extraction using hexane/methanol/dichloromethane,16 hexane/aqueous isopropanol,9 hexane/water,8 hexane/methanol/chloroform/water.13 Concerning the identification and determination of arsenolipids a few studies have used gas chromatography mass spectrometry (GC-MS)13 or inductively coupled plasma GC (GC-ICP-MS),17,18 microwave induced plasma atomic emission detector GC (GC-MIP-AES), electron ionization-quadrupole mass spectrometry GC (GC-EI-qMS), and time-of-flight mass spectrometry GC (GC-TOF-MS).18 However, most studies describe the use of reverse phase high-performance liquid chromatography (RP-HPLC) coupled to ICP-MS with electrospray ionization mass spectrometry (ESI-MS).8,10,14–16,19
Although ESI-MS is ideally suited for the identification of arsenolipids using accurate mass, this technique can suffer from co-eluting abundant easy to ionize compounds such as any polar lipid among them phospholipids. The latter may co-elute with the arsenolipids rendering the identification of arsenic species difficult. In order to reduce or eliminate these interferences some approaches have been adopted by Amayo et al.8,16 and Arroyo-Abad et al.,18,20 which used a fractionation via vacuum liquid chromatography (VLC) with a column packed with silica gel and a variety of solvents in order to change the elution strength. Using this strategy the authors could identify >15 arsenolipids in total as AsFA and AsHC.
Although the number of strategies to identify arsenolipids is increasing continuously, the knowledge about their molecular identification in different fish is still in its infancy. The reason behind this is that so far the different studies only focused on specific kind of fish, which can only give restricted information regarding the variety of arsenolipids. In contrast the use of pooled samples can provide a panoramic overview about the distribution of arsenolipids present in fish oil while the use of an adsorbent such as bentonite can achieve the pre-concentration of these species allowing for a more detailed study on minor species, since the pre-concentrated sample can be submitted to several cleaning steps in order to isolate the analytes without compromising their detection by mass spectrometry.
In this way, the aim of the project is to identify the general diversity of arsenolipids in marine fish from the Pacific by analyzing the loaded bentonite from a fish oil factory in Chile as well as the characterization of possible novel minor arsenolipids using RP-HPLC coupled simultaneously online to ICP-MS and ESI-MS. The focus in this work is the fractionation of arsenic species using several clean-up strategies in order to eliminate any interference for the ESI-MS identification since the phospholipids may elute at the same time as arsenolipids due to the similarity of their polarity.
Fig. 1 Flow diagram of the clean-up and fractionation procedure and analytical steps for determination and identification of arsenolipids using RP-HPLC-ICP-MS/ESI-MS. |
Arsenic monitoring was performed using the oxygen mode. While Q1 was set on to m/z 75, Q2 was set to m/z 91 for the detection of 75As16O+. Phosphate and sulfur compounds were also monitored. For phosphorous and sulfur the Q1 was set to m/z 31 and 32 respectively. Q2 was set accordingly to monitor the oxygen species on m/z 47 as 31P16O+ and m/z 48 as 32S16O+. Germanium (m/z 72) was used as the continuous internal standard added post column, and measured under the same conditions as 72Ge+ (Q1 and Q2 set to m/z 72).
Quantification was carried out against standard solutions of DMAv. For this, the response factor (Asrf) was determined using the approach described by Amayo et al.16 and Sele et al.21 The procedure involves the use of post-column injection of standard (75As as DMA) and internal standard (72Ge) while measuring a blank sample in order to compensate the time-resolved variation in the arsenic response along the gradient induced by the increase of methanol which leads to a time-dependent change in the signal due to carbon-enhancement.16 In this way, the concentrations of the arsenic-containing compounds were determined using the Asrf for the peaks and the use of the calibration curves established from DMA as standards. For mass balance purposes, each extract was submitted to a digestion procedure in order to evaluate the recovery of each peak from the HPLC procedure.
Regarding the concentration found in the extract residue (34%), it is totally plausible that arsenic could be irreversibly absorbed into the porous structure of the bentonite and was only removed when bentonite was submitted to acid digestion. Bentonite contains a high proportion of Na-montmorillonite [Na0.6[Si7.8Al0.2]IV[Al3.6Mg0.4]VIO20(OH)4 (omitting water)], which is a clay mineral that swells in water and endows bentonite with a very low hydraulic conductivity, making the diffusion of it smaller than the one of normal water.6 Besides that, cationic arsenic in arsenobetaine or tetramethylarsonium may bind tightly to the bentonite due to their positive charge further hindering the diffusion process.6
An adaptation of a reported clean-up process was employed using different mixtures of solvents in order to isolate the arsenolipids with maximum efficiency.18,20 Thus, in this study the methanol/chloroform (1:2 v/v) extract was submitted to normal-phase clean-up to give fractions (A–N) from eluents of different composition as shown in Section 2.4 for subsequent identification and quantification by ICP-MS/ESI-MS.
Arsenic was only found in more polar fractions from K (chloroform/methanol, 2:1 v/v) (Fig. 2A) onwards. The detected phosphorus however indicates that parallel to the elution of arsenic compounds also a series of phosphorous containing lipids occurred in these fractions. The phosphorous species distribution changes significantly between extracts K–N. It is apparent that extract N shows less co-elution of the minor arsenic species with phosphorous species then in extract K.
The ESI-MS spectra of fractions M and N were found indeed less noisier indicating low amounts of organic compounds, the identification of different low abundant AsFA and AsHC could be performed using RP-HPLC-ICP-MS/ESI-MS. The chromatogram in Fig. 3 shows several peaks detected as arsenic in the ICP-MS (U1–U5 and 1–6), with retention times between 5 and 10 min for extract N. From ESI-MS fragmentation, seven known AsFA and two AsHC (peaks 7 and 8) were identified by the arsenic detection in ICP-MS and the simultaneous detection of the protonated molecular peak in the ESI-MS. The molecular formulae were determined by the accurate masses of the protonated molecular peaks co-eluting with the arsenic peaks of the ICP-MS and with the aid of characteristic product ions (MS/MS, Table 1). Additionally five so-far unknown AsFA (U1 to U5) could be identified in the same way.
Fig. 3 RP-HPLC-ICP-MS/ESI-MS chromatograms obtained from clean-up fraction N showing all peaks detected by ICP-MS overlaid with extracted mass chromatograms detected by ESI-MS. The number of the peaks correspond to those listed in Table 1. |
Compound | Ion formula | m/z exp | m/z calc | Product ion | Δ m/z (ppm) | R/% |
---|---|---|---|---|---|---|
U1 | C9H19AsO3 | 251.0622 | 251.0623 | 104.9680 | −0.2 | 0.05 |
102.9521 | ||||||
122.9782 | ||||||
1 | C10H22As O3 | 265.0778 | 265.0779 | 104.9680 | −0.4 | 0.07 |
122.9782 | ||||||
U2 | C11H24AsO3 | 279.0932 | 279.0935 | 90.9154 | −1.1 | 0.18 |
102.9521 | ||||||
104.9680 | ||||||
122.9782 | ||||||
U3 | C12H26AsO3 | 293.1087 | 293.1092 | 90.9154 | −1.7 | 0.08 |
102.9521 | ||||||
104.9680 | ||||||
122.9782 | ||||||
U4 | C13H28AsO3 | 307.1244 | 307.1248 | 90.9154 | −1.3 | 0.07 |
102.9521 | ||||||
104.9680 | ||||||
122.9782 | ||||||
U5 | C14H30AsO3 | 321.1396 | 321.1405 | 102.9521 | −2.8 | 0.09 |
104.9680 | ||||||
122.9782 | ||||||
2 | C15H32AsO3 | 335.1555 | 335.1561 | 102.9521 | −1.8 | 0.10 |
104.9680 | ||||||
122.9782 | ||||||
3 | C16H34AsO3 | 349.1710 | 349.1718 | 102.9521 | −2.3 | 0.6 |
104.9680 | ||||||
122.9782 | ||||||
4 | C17H36AsO3 | 363.1868 | 363.1874 | 102.9521 | −1.6 | 3.9 |
104.9680 | ||||||
122.9782 | ||||||
5 | C19H38AsO3 | 389.2020 | 389.2031 | 104.9680 | −2.8 | 1.1 |
122.9782 | ||||||
6 | C19H40AsO3 | 391.2177 | 391.2187 | 104.9680 | −2.5 | 4.0 |
122.9782 | ||||||
7 | C17H38AsO | 333.2122 | 333.2133 | 90.9154 | −3.3 | 48 |
102.9521 | ||||||
104.9680 | ||||||
122.9782 | ||||||
8 | C19H42AsO | 361.2435 | 361.2446 | 90.9154 | −3.0 | 20 |
102.9521 | ||||||
104.9680 | ||||||
122.9782 | ||||||
Void vol. | — | — | — | — | — | 6.5 |
The newly identified AsFA were identified as arsenic containing MCFA and LCFA and have not been reported in fish oil or anywhere else up to now. The results show the presence of five AsFA with the following protonated molecular formulas: C9H19AsO3 (calculated for [M + H]+ 251.0622; found 251.0623; Δm = −0.2 ppm); C11H24AsO3 (calculated for [M + H]+ 279.0935; found 279.0932; Δm = −0.4 ppm); C12H26AsO3 (calculated for [M + H]+ 293.1092; found 293.1087; Δm = −1.7 ppm); C13H28AsO3 (calculated for [M + H]+ 307.1248; found 307.1244; Δm = −1.3 ppm); C14H30AsO3 (calculated for [M + H]+ 321.1405; found 321.1396; Δm = −2.8 ppm). Additionally, the MS/MS function of the orbitrap was able to record the characteristic product ions for the characteristic dimethylarsinoyl moiety confirming the generic structure of the AsFA. Table 1 shows the following product ions after fragmentation of their molecular ions: (m/z 91: AsO+, m/z 103: (CH2)2As+m/z 105: (CH3)2As+, m/z 123: (CH3)2AsOH2+). The five new proposed AsFA structures identified using ESI-MS are shown in Fig. 4. Besides, six arsenic fatty acids that have been reported by other authors were found: AsFA 264,19,20 AsFA 334,8,10 AsFA 348;8 AsFA 362;8,10,16,20 AsFA 388;10,19,20 and AsFA 390.8,10,20
In terms of quantification the most abundant arsenolipids are peaks 7 and 8 in Fig. 3 correspond to C17H38AsO (molecular mass of 332) and C19H42AsO (molecular mass of 360), respectively, which are AsHC that have been identified by others authors as well.12,14,20,22
The saturated hydrocarbons 332 (dimethyl(pentadecyl)arsine oxide) and 360 (heptadecyldimethylarsine)oxide showed the highest abundance among the arsenolipids found in this cleaned up bentonite extract from marine fish oil (48% and 20%, respectively). Other abundant compounds were the LCFAs AsFA (390) and AsFA (362). Both had an abundance of about 4% each. The MCFAs were much less abundant.
However, it should be pointed out that only due to the pre-concentration and the clean-up of the extracts using bentonite and a silica column it was possible to detect, quantify and most importantly identify very low concentrations of arsenic compounds from the bentonite samples. For instance, the concentrations of AsFAs 250, 264, 278, 292, 306, 320, 334 and 348 in the bentonite samples from in extract N were only between 0.0043 and 0.0526 μg g−1 As bentonite, while the major arsenolipids AsFA 362, 388, 390 and AsHC 333, 361 showed concentrations between 0.3 and 4.2 μg g−1. That means that traces of As-MCFA could not only be detected but also quantified. The original concentration in the fish oil can however not be established here, since the amount of fish oil used to pre-concentrate on the bentonite during the industrial process is unknown, although the total arsenic concentration in the raw fish oil from this factory has recently been reported to be around 10 μg g−1 As fish oil.4 Hence, the As-MCFA will be in the lower ng g−1 concentration range in the fish oil.
To verify the quantitative results from the microwave-assisted digestion procedure the CRM DORM-3 (certified value of 6.80 ± 0.64 μg g−1), was digested alongside the samples using the same digestion procedure giving a concentration of 6.97 ± 0.12 μg g−1 (recovery of 102%, n = 5). A bentonite blank showed a concentration below the LOQ of the method (<0.10 μg g−1, 3σ criterion).
Our success in identifying five new AsFA in fish-oil can be explained based on three strategic points in our approach. The first one is not having selected one specific species of fish for the extraction of an oil sample. Hence, it can be expected that a higher diversity of AsFA can be found, since different species of fish may have a different metabolism and accumulate different AsFAs.
The second and more important point is the systematic sequential clean-up and fractionation step used for the separation of phospholipids (arsenic or not) from the arsenic fatty acids using preparative column chromatography on silica gel (see in Section 3.2). This clearly made it possible to identify small concentrations of AsFA.
However, the occurrence of free MCFAs is unexpected, since most MCFA are normally present as triglycerides and this may hold also for the As-MCFA. These relative polar arsenolipids (much more polar than the detected AsHC) were extracted in the methanol/chloroform (1:2 v/v) extract (a medium-polar phase) and then only showed up after the clean-up steps in the most polar methanol fraction (extract N). This is a strong indication that the As-MCFA were extracted in a different form, which in this case, might be arsenic containing triglycerides as suggested also by Taleshi et al.15 (Fig. 5).
Fig. 5 Proposed structure of an arsenic containing medium chain fatty acid containing triglyceride. The subscript n, z and x represent the number of carbons. |
Recently, it has been found that As-LCFA can be conjugated to phosphatidylcholine and form arsenic containing phospholipids.24 We propose that the hydrolysation of the As-MCFA and As-LCFA from more non-polar lipids was a consequence of the fractionation procedure using a silica column and a gradient of solvents with increasing elution strength. Otherwise the free AsFA would be extracted in a more polar phase (methanol) and not by using methanol/chloroform (1:2 v/v) mixture in the initial sequential extraction without clean-up. To prove this, Fig. 6 shows two methanol fractions, one generated by direct extraction without the clean-up steps and the other the methanol fraction after the use of the normal phase chromatography (extract N). It is apparent that the AsHC occurred in both methanol fractions in a similar ratio while the detected AsFA are in far lower abundance in the methanol fraction with was directly analysed without a clean-up. AsHC would not be expected to be conjugate to other lipid moieties and hence the AsHC species show the same abundance in both methanol fractions (Fig. 6). This illustrates that the As-MCFA and As-LCFA were generated during the sample clean-up rather than the chromatographic separation and their precursors could be As-FA triglycerides or potentially As-FA containing phospholipids or even sphingomyelins. Hence, the clean-up procedure provides the opportunity to identify traces of arsenolipid species but it cannot guarantee the integrity of the arsenolipid speciation.
Fig. 6 HPLC-ICP-MS chromatogram of bentonite (2 g of sample) extracted from of 5 mL of methanol, shaking for 2 min and immediately injected without clean-up in RP-HPLC-ICP-MS, compared to the methanol fraction after clean up (extract N). The number of the peaks are the same as in Fig. 3. |
The information highlighted here can be essential to understand the chemistry of As-MCFA in the human body since triglycerides, when ingested, are rapidly hydrolyzed and the As-MCFA can enter the body metabolism route as free fatty acid. In contrast to LCFA, MCFA show lower viscosity, with high absorption and solubility in biological processes since they are easily hydrolyzed by pancreatic lipases.27 Hence, this is also expected from the As-MCFA containing lipids during ingestion.
This journal is © The Royal Society of Chemistry 2016 |