DOI:
10.1039/D2RA01817A
(Paper)
RSC Adv., 2022,
12, 13448-13455
Rapid electrochemical quantification of trace Hg2+ using a hairpin DNA probe and quantum dot modified screen-printed gold electrodes†
Received
21st March 2022
, Accepted 18th April 2022
First published on 4th May 2022
Abstract
Rapid, simple, sensitive and specific approaches for mercury(II) (Hg2+) detection are essential for toxicology assessment, environmental protection, food analysis and human health. In this study, a ratiometric hairpin DNA probe based electrochemical biosensor, which relies on hairpin DNA probes conjugated with water-soluble and carboxyl functionalized quaternary Zn–Ag–In–S quantum dot (QD) on screen-printed gold electrodes (SPGE), referred to as the HP-QDs-SPGE electrochemical biosensor in this study, was developed for Hg2+ detection. Based on the “turn-off” reaction of a hairpin DNA probe binding with a mismatched target and Hg2+ through the formation of T–Hg2+–T coordination, the HP-QDs-SPGE electrochemical biosensor can rapidly quantify trace Hg2+ with high ultrasensitivity, specificity, repeatability and reproducibility. The conformational change of the hairpin DNA probe caused a significant decrease in electrochemical intensity, which could be used for the quantification of Hg2+. The linear dynamic range and high sensitivity of the HP-QDs-SPGE electrochemical biosensor for the detection of Hg2+ was studied in vitro, with a broad linear dynamic range of 10 pM to 1 μM and detection limits of 0.11 pM. In particular, this HP-QDs-SPGE electrochemical biosensor showed excellent selectivity toward Hg2+ ions in the presence of other metal ions. More importantly, this biosensor has been successfully used to detect Hg2+ in deionized water, tap water, groundwater and urine samples with good recovery rate and small relative standard deviations. In summary, the developed HP-QDs-SPGE electrochemical biosensor exhibited promising potential for further applications in on-site analysis.
1. Introduction
In recent decades, man-made contamination has led to the release of a large amount of pollutants such as heavy metal ions into the aquatic environment through poorly controlled industrial and urban wastewaters.1 Highly toxic, non-biodegradable, and carcinogenic heavy metals such as mercury can seriously threaten the sustainability of aquatic resources. Water-soluble mercury ions (Hg2+) are the most stable form of mercury pollution due to their high toxicity and bioaccumulation. Hg2+ can be converted into methylmercury and accumulate in the body, causing various disorders and irreversible damage to the endocrine system, liver, kidneys, brain, nervous system, etc. The contamination of drinking water and other natural water resources is a significant problem as even trace amounts of Hg2+ can threaten human health.2–5 Therefore, strategies for rapid, simple, sensitive, and specific detection of Hg2+ are imperative in order to remain below the upper limit of 10 nM Hg2+ in drinking water, a standard set by the U.S. Environmental Protection Agency (U.S. EPA).6,7
To date, several traditional methods have been created to measure Hg2+ quantity, including atomic absorption/emission spectroscopy,8,9 cold vapour atomic fluorescence spectroscopy,10,11 X-ray fluorescence spectrometry11,12 and inductively coupled plasma-mass spectrometry.13 These techniques are sensitive and accurate, but usually require expensive and sophisticated instrumentation, which limits their application in routine measurements.
Ono and Togashi found that Hg2+ can interact specifically with thymine bases (T) in two DNA strands to form a stable T–Hg2+–T structure, which is even more stable than the Watson-Crick adenine-thymine pair.14–16 Consequently, T–T base pairs have been widely used to develop Hg2+ biosensors using transduction mechanisms such as fluorescence,14,15 colorimetry,17,18 electrochemiluminescence19 and electrochemistry.5,6,20 Among those approaches, electrochemical-based approaches have attracted substantial interest due to the advantages of high sensitivity, high specificity, simple, rapid operation, low cost and suitability for miniaturization when combined with micromachining technologies.21–23 However, it is still necessary to prepare an ultrasensitive electrochemical sensor with a simple preparation process for the ultrasensitive quantification of trace Hg2+.
The detection performance of electrodes can be further improved by incorporating advanced materials into the electrode manufacturing and electrode modification process.21–24 In general, electrochemical performance is strongly impacted by the effectiveness of electrode materials. Noble metal nanoparticles and carbon-based materials (gold-based materials, silver-based materials, carbon nanotubes, carbon fibers) have been used for the detection of Hg2+.25–27 Among these materials, gold electrode is highly attractive for the electrochemical detection of Hg2+. For example, Mandler et al. revealed that gold nanoparticles could serve as nucleation sites for the deposition of Hg2+, thus facilitating the detection of Hg2+ using an electrochemical based approach.28 Zhonggang Liu et al. reported on the facile fabrication of electro-synthesized FeOOH nanoflakes on nanoporous gold (NPG) microwires. An exceptional electrochemical performance was achieved with a high sensitivity of 123.5 μA μM−1 cm−2 and low detection limit of 7.81 nM.25 Gold electrodes with different morphologies were also applied as efficient substrates for the determination of Hg2+.29–31 However, gold electrodes have a high cost and need to be pretreated before use. Upon damage, gold electrodes are also difficult to regenerate. In recent years, electrochemical sensors developed based on screen printed gold electrodes (SPGE) can resolve these problems. SPGE is a disposable electrode which integrates a working electrode, reference electrode and auxiliary electrode. It has the advantages of being simple to manufacture and mass production, low cost, easy to carry, convenient to operate and requiring less sample consumption. It can effectively solve the problem of cross interference when multiple samples are detected by sharing the same electrode.32–35
For bio-sensing electrodes, quantum dots (QDs) are an excellent choice due to their oxygen-rich functional groups, remarkable quantum confinement, edge effects, conductivity, stability, biocompatibility, and large surface area. In particular, QDs provide abundant carboxyl groups at the surface, which can be used to link amino modified DNA probes.27,36,37 Our previous work successfully synthesized water-soluble and carboxyl functionalized quaternary Zn–Ag–In–S QDs using a facile aqueous synthesis approach that was less toxic due to the absence of highly toxic cadmium.38 The prepared Zn–Ag–In–S QDs exhibited excellent stability in water, which made it possible for uniform electrode surface modification.
Therefore, considering the advantages of gold-based nanomaterials and Zn–Ag–In–S QDs, we developed an efficient electrochemical biosensor based on SPGE and QDs for the detection of Hg2+ in environmental samples. The innovation of this work is summarized as follows: (1) hairpin DNA probes specifically bind with Hg2+ through the formation of T–Hg2+–T coordination and can provide rapid, sensitive and specific quantification of trace Hg2+ with high repeatability and reproducibility. (2) The water-soluble and carboxyl functionalized quaternary Zn–Ag–In–S QDs coated on a SPGE can increase the conductivity, stability, biocompatibility, and surface area of the developed test. Given the speed, high sensitivity, simplicity, and convenience of operation, the developed test serves as a potential alternative tool for Hg2+ determination in toxicological assessment, environmental protection and food analysis.
2. Experimental section
2.1. Reagents, materials, and instruments
All DNA used in this study was purchased from Sangon Biotech (Shanghai, China) and all sequences are listed in Table S1.† Diethyl pyrocarbonate (DEPC) treated water was obtained from TaKaRa Biotechnology (Dalian, China). Zn–Ag–In–S QDs was synthesized and referenced in our previous report.38 10 × Nt.BstNBI buffer (25 mM Tris–HCl (pH 7.9), 50 mM NaCl, 5 mM MgCl2, and 0.5 mM dithiothreitol), 10× ThermoPol buffer (20 mM Tris–HCl (pH 8.8), 10 mM KCl, 10 mM (NH4)2SO4, 2 mM MgSO4, 0.1% Triton X-100, and tris-2-amino-2-hydroxymethyl propane-1,3-diol) were purchased from New England Biolabs. Nitric acid, mercury nitrate, N-hydroxysuccinimide (NHS), 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide hydrochloride (EDC), and other chemicals of analytical grade purity were obtained from Aladdin (Shanghai, China) (http://www.aladdin-e.com/). 0.2% nitric acid was used to dissolve mercury nitrate, and then uses 0.1 M PBS (sodium dihydrogen phosphate and disodium hydrogen phosphate) to dilute different concentrations. For the production of SPGE, the designed electrode pattern was printed on a 96% alumina ceramic substrate using a 0.9999 purity gold paste by screen printing, and the counter electrode was gold and the reference electrode was Ag/AgCl material, the working electrode diameter is 3 mm.
Electrochemical measurements were taken using a CHI 660C electrochemical workstation (Chenhua Instrument Company, Shanghai, China, http://www.chinstruments.com/), which consisted cyclic voltammetry (CV) and differential pulse voltammetry (DPV) at room temperature (RT, 25 ± 1 °C). CV and DPV were performed on a CHI 660C electrochemical workstation using QDs-SPGE with a diameter of 3.0 mm as the working electrode and counter electrode, Ag/AgCl electrode as the reference electrode, in a 5.0 mM K3Fe(CN)6/K4Fe(CN)6 (1
:
1) solution containing 0.10 M KCl at room temperature. During the electrochemical detection, the divalent iron in the K3Fe(CN)6/K4Fe(CN)6 is oxidized to trivalent iron, and an electron transfer occurs to form an oxidation current, that is, the oxidation peak-to-peak current. CV was measured at potentials between −0.6 V and 0.6 V, whereas DPV scans were conducted between −0.6 V and 0.4 V with a 0.004 V increment (E), 0.05 V amplitude, 0.5 s pulse width, and 0.5 s pulse period. All DPVs were baseline-corrected using the application within the CHI software package (version 9.02) and no changes in potential or peak current values were observed.
2.2. Functional modifications of gold electrode
First, 10 μL of the 0.3 mg mL−1 Zn–Ag–In–S QDs suspension (dissolved in water) was drop-coated onto the surface of the SPGE and subsequently dried at room temperature (QDs-SPGE). Following, 5 μL of EDC solution (5 mg mL−1) and 5 μL of NHS solution (5 mg mL−1) was dropped onto the surface of the QDs-SPGE for 2 h to activate the QDs carboxyl groups. Subsequently, the modified and activated QDs-SPGE was immersed in amino modified hairpin DNA probes (10 μM, 50 μL) for 2 h at room temperature to immobilize the probe via amide bonds (HP-QDs-SPGE). Before the electrochemical measurements, the electrode was rinsed with purified water to eliminate nonspecific adsorption and stored in N2 atmosphere at 4 °C.
2.3. Hg2+ detection using electrochemical analysis
The HP-QDs-SPGE was incubated with Hg2+ (10 μL) and the mismatched target (100 nM, 10 10 μL) for 15 min in 0.5× Nt.BstNBI buffer and 1× ThermoPol buffer on the surface of HP-QDs-SPGE to facilitate hybridization and the formation of the T–Hg2+–T coordination on the HP-QDs-SPGE (Hg2+-HP-QDs-SPGE) at 37 °C. After rinsing the electrode three times, the CV and DPV scans were conducted. Consequently, the value of the peak current was employed to monitor and determine Hg2+ concentration at room temperature.
3. Results and discussion
3.1. Mechanism and design of the HP-QD s-SPGE electrochemical biosensor
An overview of the HP-QDs-SPGE electrochemical biosensor for Hg2+ detection is illustrated in Scheme 1. The electrochemical signal was achieved by Hg2+ induced conformational change of the designed hairpin DNA probe on the QDs-SPGE. Prior to the experiment, the secondary structure of hairpin DNA probe were predicted by Oligo Analyzer (https://sg.idtdna.com/calc/analyzer), where it showed a stem-loop structure (Fig. S1†). Researchers have shown that the selective binding of Hg2+ to T–T base pairs in DNA duplexes. As the binding of Hg2+ by T–T pairs is strong and highly selective, duplexes that contain a T–T pair are thermally stabilized in the presence of Hg2+ ions. In contrast, other heavy-metal ions, such as Cu2+, Ni2+, Pd2+ and Co2+, do not show any notable effects on duplex stability. Thus, a highly selective sensor for Hg2+ that relies on the selective binding of Hg2+ with a T–T pair.14–20 Therefore, in the presence of Hg2+, the conformational hairpin DNA probe can change to linear structure, resulting the long and double-strand on the surface of QDs-SPGE. While, in the absence of Hg2+, the mismatched target DNA (with five mismatched bases T) cannot open the hairpin DNA probe, resulting the short stem-loop structure on the surface of QDs-SPGE. In addition, the mass and electron transfers and diffusion of the Fe(CN)63−/Fe(CN)64− ions onto the surface of the QDs-SPGE, which are crucial in detecting electrochemical signals, can be blocked by the electrostatic repulsion between the Fe(CN)63−/Fe(CN)64− ions and the negatively-charged backbone phosphate groups of the DNA binding to the surface of the QDs-SPGE. In the presence of the Hg2+, hybridization of the hairpin DNA probe with the mismatched target induces the DNA to form a long, double-strand, which in turn generates a weak electrochemical signal. However, in the absence of Hg2+, the hairpin DNA probe cannot hybridize with the mismatched target, resulting a relatively stronger electrochemical signal. Otherwise, the amount that the electrochemical signal decreased mainly depended on the Hg2+ concentration in the sample. Therefore, the concentration of Hg2+ could be determined by monitoring electrochemical signal decrement. In summary, our HP-QDs-SPGE electrochemical biosensor utilized the hairpin DNA probe based method to detect target Hg2+ in a highly specific manner.
 |
| Scheme 1 Schematic illustration of the proposed HP-QDs-SPGE electrochemical biosensor. | |
3.2. Feasibility of the HP-QDs-SPGE electrochemical biosensor
CV and DPV are efficient methods for investigating the features of modified electrode surfaces. To verify that hairpin DNA probe bound to QDs-SPGE and hybridized with Hg2+, the CV responses of the bare SPGE, QDs-SPGE, HP-QDs-SPGE and Hg2+-QDs-SPGE were analyzed. As shown in Fig. 1A, the bare SPGE had one of the highest peaks due to the large specific surface area and excellent electron transfer ability of SPGE (Fig. 1A black line). However, the peak current of the QDs-SPGE was lower than that of the SPGE (Fig. 1B, red line), suggesting that the QDs successfully immobilized on the surface of the SPGE. In addition, a decrease in the peak current was observed for HP-QDs-SPGE (Fig. 1A blue line). This decrease can be explained by the negative charges of the hairpin DNA probe phosphate backbone, which hindered the electron transfer and mass transfer of Fe(CN)63−/4- anions on the SPGE. After hybridization among HP-QDs-SPGE, Hg2+ and the mismatched target DNA, a further decrease was observed in the peak current of the Hg2+-HP-QDs-SPGE (Fig. 1A, green line), likely due to the repulsive electrostatic force between the negatively charged Fe(CN)63−/Fe(CN)64− ions in the solution and the negatively charged phosphate backbone of the DNA on the surface of the SPGE. Steric hindrance in the DNA structure also reduces the electron transfer rate. Therefore, the CV signal would decrease with increasing DNA length on the electrodes. Thus, the changes in CV peak current indicated that the stepwise modification of the SPGE was successful. Furthermore, DPV was used to monitor the electrode modifications. The DPV responses of Fe(CN)63−/Fe(CN)64− for each electrode are shown in Fig. 1B, which concur with the CV results. Therefore, the experimental results corresponded to the expected changes due to the immobilization of the hairpin DNA probe and hybridization with the mismatched target DNA. This indirectly confirms the successful modification of QDs with the hairpin DNA probe and its hybridization with the mismatched target DNA in the presence of Hg2+.
 |
| Fig. 1 The feasibility of the developed HP-QDs-SPGE electrochemical biosensor. (A) CV curves of SPGE, QDs-SPGE, HP-QDs-SPGE, and Hg2+-HP-QDs-SPGE. (B) DPV curves of SPGE, QDs-SPGE, HP-QDs-SPGE, and Hg2+-HP-QDs-SPGE. | |
3.3. Optimization of experimental parameters
To achieve optimal analytical performance, different experimental conditions of the HP-QDs-SPGE electrochemical biosensor were systematically evaluated. The hybridization temperature and hybridization time significantly affected the performance of the HP-QDs-SPGE electrochemical biosensor and were crucial for minimizing non-specific hybridization and increasing sensitivity, specificity and reproducibility. First, the hybridization temperature was optimized from 25 °C to 50 °C in the presence and absence of Hg2+ using the developed HP-QDs-SPGE electrochemical biosensor. As shown in Fig. 2A, in the presence of Hg2+, the peak current values of the biosensor progressively decreased with increasing hybridization temperature from 25 °C to 37 °C and reached a stable electrochemical signal at 37 °C, demonstrating that the hairpin DNA probes modified on the surface of the QDs-SPGE were almost completely opened at 37 °C (Fig. 2A red line). In addition, in the absence of Hg2+, the peak current values of the biosensor were almost unaltered with increasing hybridization temperature from 25 °C to 37 °C. On the other hand, with increasing hybridization temperature from 37 °C to 50 °C, the peak current values of the biosensor slightly decreased, demonstrating that the hairpin DNA probes modified on the surface of the SPGE were opened with the increasing hybridization temperature (Fig. 2A black line). Therefore, the optimum hybridization temperature was 37 °C with an optimum hybridization time of 15 min (Fig. 2B).
 |
| Fig. 2 The optimization results of hybrid temperature (A) and hybrid time (B) of the developed HP-QDs-SPGE electrochemical biosensor. | |
3.4. Sensitivity, repeatability, and reproducibility of the HP-QDs-SPGE electrochemical biosensor
Sensitivity is an important factor to evaluate this developed HP-QDs-SPGE electrochemical biosensor due to the lower content of Hg2+ in real samples.39–42 To evaluate whether the HP-QDs-SPGE electrochemical biosensor can be used to detect target sequences effectively and quantitatively, experiments were conducted with the results depicted in Fig. 3. Good linearity was obtained in 6 orders of magnitude from 0.01 nM to 1 μM Hg2+ using the developed HP-QDs-SPGE electrochemical biosensor. The correlation equation was I = −7.773
lg
C – 6.7508, (where I is the peak current and C is the concentration of Hg2+ in the HP-QDs-SPGE electrochemical biosensor) with a correlation coefficient R2 = 0.9937 (Fig. 3A and B). Furthermore, based on the standard deviation (SB) of seven peak current responses of the blank, the theoretical detection limit was found to be 0.11 pM, which was calculated based on the “3SB/slope” ratio, where the slope of the calibration graph was taken into account. Table S2† summarizes the LOD, linear ranges, detection time, reaction step and complexity of recently reported Hg2+ approaches. Comparatively, the developed HP-QDs-SPGE electrochemical biosensor showed characteristics of high sensitivity, wide linear range and rapid of operation.
 |
| Fig. 3 The sensitivity of the developed HP-QDs-SPGE electrochemical biosensor. (A) DPVs for detection of different concentrations of Hg2+ using the developed HP-QDs-SPGE electrochemical biosensor. (B) The peak currents of the developed HP-QDs-SPGE electrochemical biosensor are log-linear correlations with Hg2+ levels in the range of 0.01 nM to 1 μM. Error bars show the standard deviation of three experiments. | |
The repeatability of the HP-QDs-SPGE electrochemical biosensor was investigated by one individual conducting five repetitions of I measurements for 100 nM Hg2+ (Fig. 4A and B). The relative standard deviation (RSD) was calculated to be 1.95%, demonstrating that the repeatability of the HP-QDs-SPGE electrochemical biosensor was acceptable. Additionally, five different individuals investigated its reproducibility by performing five successive assays in the presence of 100 nM Hg2+, generating an RSD of 2.66% (Fig. 4C and D). These results suggested that the HP-QDs-SPGE electrochemical biosensor could be used to quantify low levels of Hg2+ in real sample analysis with excellent repeatability and reproducibility.
 |
| Fig. 4 (A) DPV curves and (B) corresponding histogram of repeatability results of developed HP-QDs-SPGE electrochemical biosensor. (C) DPV curves and (D) corresponding histogram of reproducibility results of developed HP-QDs-SPGE electrochemical biosensor. | |
3.5. Specificity of the HP-QDs-SPGE electrochemical biosensor
Real samples do not merely contain Hg2+ and often include other metal ions. Therefore, the selectivity of this HP-QDs-SPGE electrochemical biosensor for Hg2+ was also investigated. The selectivity of the proposed HP-QDs-SPGE electrochemical biosensor for Hg2+ was evaluated by exposing the sensor to an aqueous solution containing other environmentally relevant metal ions (100 nM each), such as Ca2+, Co2+, Cu2+, Fe2+, Mg2+, Ni2+, Zn2+, Cd2+, Pb2+ and Hg2+. As shown in Fig. 5, it can be observed that in the presence of Hg2+ the electrochemical signal was at its lowest whereas in the presence of other metal ions, the fluorescence intensity was almost unchanged compared to the blank solution without metal ions. These results show that these competing metal ions had only negligible effects on the HP-QDs-SPGE electrochemical biosensor. The HP-QDs-SPGE electrochemical biosensor thus exhibits high selectivity for Hg2+, which shows its potential for future application.
 |
| Fig. 5 The specificity results of the developed HP-QDs-SPGE electrochemical biosensor. (A) DPV curves and (B) corresponding histogram of HP-QDs-SPGE electrochemical biosensor for detection of different kinds of metal ions. | |
3.6. Detection of Hg2+ in real sample using HP-QDs-SPGE electrochemical biosensor
In order to demonstrate the practical application of the proposed HP-QDs-SPGE electrochemical biosensor in real samples, 150 nM of Hg2+ was added to deionized water, tap water, groundwater and urine. Trace Hg2+ was then detected and quantified by the HP-QDs-SPGE electrochemical biosensor. The resulting concentrations were in agreement with the spiked value with a recovery above 95.55% to 101.55% (Table 1). In summary, these results demonstrated that the proposed HP-QDs-SPGE electrochemical biosensor could accurately quantify Hg2+ in real samples with strong reliability, thus possessing significant potential for further application in environmental pollution detection.
Table 1 The accuracy of the developed electrochemical biosensor in real sample analysis (n = 3)
Name of the sample |
Added (nM) |
Determination value |
Rate of recovery (%, n = 3) |
Relative standard deviation (5) |
Deionized water |
150 |
152.33 |
101.55 |
2.01 |
Tap water |
150 |
143.33 |
95.55 |
2.13 |
Groundwater |
150 |
147.67 |
98.45 |
1.70 |
Urine |
150 |
145.33 |
96.89 |
2.10 |
4. Conclusion
In summary, a HP-QDs-SPGE electrochemical biosensor based on a hairpin DNA probe conjugating with water-soluble Zn–Ag–In–S QDs on a SPGE, was developed for rapid and simple detection of Hg2+ with high sensitivity and specificity. The HP-QDs-SPGE electrochemical biosensor takes advantage of the highly selective T–Hg2+–T based on conformation-switching of hairpin DNA probe with a detection limit of 0.11 pM, which is below the maximum level of mercury permitted by the US EPA for drinking water (10 nM). At the same time, the developed HP-QDs-SPGE electrochemical biosensor displayed specificity towards Hg2+, even in the presence of other competitive heavy metal ions at high concentrations. More importantly, the developed HP-QDs-SPGE electrochemical biosensor could accurately quantify Hg2+ in real samples at a high level of reliability, which demonstrated its potential towards on-site applications of Hg2+ detection, during its easy to use and does not require rigorous laboratory conditions.
Author contributions
Wancun Zhang: writing – original draft, funding acquisition. Pin Zhang: formal analysis. Ying Liang: methodology. Weyland Cheng: conceptualization. Lifeng Li: resources, software. Huanmin Wang: investigation. Zhidan Yu: data curation, visualization. Yan Liu: supervision, validation. Xianwei Zhang: project administration, writing – review & editing.
Conflicts of interest
The authors declare of no conflicts of interest.
Acknowledgements
This work was supported by the China Postdoctoral Science Foundation (No. 2020M672301), scientific and technological projects of Henan province (202102310068, 222102310270), Henan medical science and technology program (LHGJ20190937 and LHGJ20190887), Henan provincial key laboratory of children's genetics and metabolic diseases foundation (SS201902 and SS201906), Henan neural development engineering research center for children foundation (SG201904 and SG201906).
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