Next Article in Journal
Wax-Printed Fluidic Controls for Delaying and Accelerating Fluid Transport on Paper-Based Analytical Devices
Next Article in Special Issue
A Laser-Induced Photoelectrochemical Sensor for Natural Sweat Cu2+ Detection
Previous Article in Journal
Nanoparticle-Mediated Signaling for Aptamer-Based Multiplexed Detection of Cortisol and Neuropeptide Y in Serum
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Simple Ratiometric Electrochemical Aptasensor Based on the Thionine–Graphene Nanocomposite for Ultrasensitive Detection of Aflatoxin B2 in Peanut and Peanut Oil

Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
*
Authors to whom correspondence should be addressed.
Chemosensors 2022, 10(5), 154; https://doi.org/10.3390/chemosensors10050154
Submission received: 24 March 2022 / Revised: 18 April 2022 / Accepted: 20 April 2022 / Published: 21 April 2022

Abstract

:
The accurate and reliable analysis of aflatoxin B2 (AFB2) is widely required in food and agricultural industries. In the present work, we report the first use of a ratiometric electrochemical aptasensor for AFB2 detection with high selectivity and reliability. The working principle relies on the conformation change of the aptamer induced by its specific recognition of AFB2 to vary the ratiometric signal. Based on this principle, the proposed aptasensor collects currents generated by thionine–graphene composites (ITHI) and ferrocene-labeled aptamers (IFc) to output the ratiometric signal of ITHI/IFc. In analysis, the value of ITHI remained stable while that of IFc increased with higher AFB2 concentration, thus offering a “signal-off” aptasensor by using ITHI/IFc as a yardstick. The fabricated aptasensor showed a linear range of 0.001–10 ng mL−1 with a detection limit of 0.19 pg mL−1 for AFB2 detection. Furthermore, its applicability was validated by using it to detect AFB2 in peanut and peanut oil samples with high rates of recovery. The developed ratiometric aptasensor shows the merits of simple fabrication and high accuracy, and it can be extended to detect other mycotoxins in agricultural products.

1. Introduction

Aflatoxins (AFs) are difuran ring toxoids generated by strains such as Aspergillus flavus and Aspergillus parasiticus [1]. With regard to their hepatotoxicity and carcinogenicity for humans, the International Agency for Research on Cancer has classified AFs as Group I human carcinogens [2,3]. Many countries and world organizations have imposed strict conditions on AFs; e.g., the maximum residue limit of AFs in foods is 15 ng mL−1 according to the International Codex Alimentarius Commission (ICAC) [4,5]. Aflatoxin B2 (AFB2) in particular has been confirmed to be extremely hazardous [6,7]. Many state-of-the-art detection technologies have been developed for the detection of AFB2, such as the enzyme-linked immunosorbent assay (ELISA) and high-performance liquid chromatography coupled with fluorescence detection (HPLC-FLD) [8,9,10].
Besides the abovementioned techniques, electrochemical methods have attracted enormous attention for the advantages of simplicity, rapid response and low cost [11,12,13,14,15]. Various electrochemical sensors have been constructed for the sensitive analysis of AFs, such as the multifunctional DNA nanotube-based electrochemical sensor and the dual-mode sensor using a combination of differential pulse voltammetry and electrochemical impedance spectroscopy [16,17]. Nevertheless, there had been relatively few reports focused on the electrochemical sensing of AFB2 with excellent selectivity until the successful screening of the AFB2 aptamer in 2015 [18]. Taking advantage of the high specificity of the aptamer, Lu and co-workers construct a colorimetric aptasensor based on sodium chloride-induced aggregation of AuNPs for visualization detection of AFB2 [19]. A screen-printed electrode-based aptasensor has been reported that employs the aptamer to significantly enhance the sensitivity and selectivity in AFB2 analysis [20]. Notably, the analytical properties of electrochemical aptasensors with a single-signal detection mode can be influenced by environmental factors. In this regard, ratiometry has been introduced into electrochemical sensing with the aim of acquiring better reliability and reproducibility [21,22]. Typically, its working principle relies on the utilization of intrinsic built-in correction, reading two independent electrochemical signals of probes at different potentials. Ferrocene (Fc) and methylene blue (MB) are the best among the probes frequently used to fabricate ratiometric electrochemical aptasensors [23,24,25]. Generally, probes are used to construct ratiometric sensors in the following ways: (1) by using probe-labeled DNA, in which the target triggers a conformational change in the DNA strand and the electrochemical signal of the probe also changes accordingly [24]; or (2) by using double-strand DNA (dsDNA) that can specifically absorb probes. There are several redox probes that can be specifically adsorbed by dsDNA. For example, the target that triggers or hinders DNA self-assembly can vary the amount of dsDNA to adsorb MB, which significantly changes the electrochemical signal of the MB [25]. Meanwhile, several novel beacon molecules have also been employed to construct ratiometric sensors, such as copper ions (Cu2+). Using Fc as a reference signal, the reduction peak current of Cu2+ was used as a response signal to achieve the ratiometric detection of Cu2+ in a rat brain [26]. Yang et al. described a metal–organic framework (MOF)-based ratiometric sensor based on the ion-exchange reaction of Cu2+ with target ions (Pb2+, Cd2+) [27]. The presence of the target ion led to a decrease in Cu2+ in MOFs, and then the reduction current of Cu2+ (ICu2+) fell while that of Pb2+ (IPb2+) or Cd2+ (ICd2+) increased. In this way, the ratiometric detection was realized by using IP2+/ICu2+ or ICd2+/ICu2+ as the readout signal. Notably, it is difficult for many electroactive species, such as Cu2+, to be labeled or absorbed in DNA with high stability to output a reference signal. However, the investigations into such species may provide alternative ways to construct ratiometric sensors. Among these species, thionine (THI) has been widely explored for its potential to provide internal calibration in electrochemical ratiometric sensors [28,29].
Inspired by these studies, our group has developed a ratiometric aptasensor using THI-loaded reduced graphene oxide (THI-rGO) as a substrate [30]. The disassociation of the Fc-tagged aptamer with complementary DNA in the presence of the target produces a reduced response current from Fc, offering a “turn-off” readout mode. In this study, in order to improve the analytical performance, we further developed a “turn-on” ratiometric electrochemical aptasensor via a relatively simple route for the sensitive detection of AFB2 (Scheme 1). The THI-rGO composite was electrostatically adsorbed on the surface of a glassy carbon electrode (GCE) and used as a substrate to output a reference signal, while the Fc-tagged aptamer was assembled on THI-rGO through electrostatic interaction [31]. In the analysis, the binding of AFB2 with the aptamer made Fc approach GCE. Consequently, IFc increased at higher AFB2 concentrations, while ITHI remained constant. This aptasensing assay using ITHI/IFc as a ratiometric signal showed high selectivity and sensitivity in AFB2 analysis.

2. Materials and Methods

2.1. Reagents and Materials

Sodium hydrogen phosphate (Na2HPO4) and sodium dihydrogen phosphate (NaH2PO4) were purchased from Sinopharm Chemical Reagent (Shanghai, China). Fumonectin B1 (FB1, 96.0%, Shanghai Aladdin Bio-Chem Technology Co., Ltd., Shanghai, China), Chitosan (CS, Aladdin), reduced graphene oxide (rGO, XFNANO Inc., Nanjing, China), thionine (THI, Alfa Aesar, Haverhill, MA, USA), aflatoxin B1 (AFB1, 98.0%, Acros Organics, NJ, USA), aflatoxin M1 (AFM1, 98.0%, Acros Organics), and aflatoxin B2 (AFB2, 98.0%, Acros Organics) were employed for experiments. The aptamer of AFB2 with 81 bases was synthesized by Sangon Biotech Co., Ltd. (Shanghai, China), and its DNA sequence was as follows [18]:
Fc-Aptamer-Fc: 5′-Fc-AGCAGCACAGAGGTCAGATGCTGACACCCTGGACCTT
GGGATTCCGGAAGTTTTCCGGTACCTATGCGTGCTACCGTGAA-Fc-3′
The aptamer (100 μM) was stored in 10 mM Tris-HCl buffer (pH 7.4) containing 1 mM KCl. The AFB2 was dissolved with methanol and diluted with phosphate-buffered saline (PBS, pH = 7.0) to obtain stock solutions with different concentrations.

2.2. Apparatus

A UV-vis/NIR spectrophotometer (Shimadzu UV-3600plus, Shimadzu, Nakagyo-ku, Kyoto, Japan) was used to obtain UV-vis absorption spectra. X-ray photoelectron spectroscopy (XPS) analysis was performed with an ESCALAB250 X-ray photoelectron spectrometer with the following X-ray source: monochromated Al Kα; hν = 1451 eV; spot size: 650 µm (Thermo Fisher Scientific, Waltham, MA, USA). Raman spectra were registered in LabRam HR800 using a 633 nm laser module and 5 s exposure time (Horiba Scientific, Longjumeau, France). Scanning electron microscope (SEM) images were obtained with a SU8020 SEM with acceleration voltages of 3.0 kV (Hitachi, Tokyo, Japan).
Alternating current voltammetry (ACV) and electrochemical impedance spectroscopy (EIS) were evaluated on a CHI 852D electrochemical workstation (Shanghai Chenhua, Shanghai, China) and a Zennium electrochemical workstation (Zennium, Zahner, Germany), respectively. EIS measurements were performed in 0.1 M KCl solution containing 5 mM [Fe(CN)6]3−/4− with a frequency range from 10 kHz to 0.1 Hz. ACVs were carried out over a potential range from −0.4–0.7 V in 0.1 M PBS (pH 7.0), with a frequency of 25 Hz, a step potential of 4 mV, and an amplitude of 25 mV. This work employed a common three-electrode system for measurement, using a platinum wire as the counter electrode, a Ag/AgCl (sat. KCl) electrode as the reference electrode and a glassy carbon electrode as the working electrode.

2.3. Synthesis of THI-rGO

The THI-rGO nanocomposite was prepared according to a previously reported method with some appropriate modifications [32]. Briefly, 3 mL of THI aqueous solution (5 μg mL−1) was added into 15 mL of rGO aqueous dispersion (0.1 mg mL−1) and stirred for 12 h. Then, the dispersion was centrifuged and washed before being dispersed in Milli-Q grade water.

2.4. Fabrication of the Aptasensor

The GCE was polished with 0.05 μm alumina powder to acquire a mirror-like surface and then rinsed with ethanol and water for 30 s. Then, 6 μL of THI-rGO (1 mg mL−1) was dispersed, following which 8 μL of CS (5 wt%, pH 5.0) solution was cast on an electrode and then dried at 37 °C. Next, the electrode was rinsed with 10 mM PBS and incubated with 6 μL 2.4 μM Fc-Aptamer-Fc (Fc-Apt-Fc) at room temperature for 12 h, then stored at 4 °C before use.

2.5. Analysis of AFB2

Six microliters of AFB2 solution was cast on the aptasensor with different concentrations. After incubation for 100 min at room temperature, the aptasensor was washed with PBS before measurements.

2.6. Real Sample Pretreatment

The peanut and peanut oil samples were obtained from the local supermarket (Zhenjiang). The extraction process was performed according to the method reported by Deng and Hou with some modifications [33,34]. The extraction solution was prepared by mixing 14 mL methanol and 6 mL ultrapure water. The mixture of the extraction solution and the 5 g samples was shaken for 60 min and then centrifuged at 6000 rpm for 10 min to extract the supernatant. The resulting solution was then dialyzed with an ultrafiltration membrane (0.22 μm). Then, 10 mL of the treated sample was fortified by adding AFB2 standard solutions to prepare the spiked samples containing 10, 1 and 0.01 ng mL−1 of AFB2.
The real samples were analyzed with an Agilent 1290 Infinity UHPLC coupled to a 6460 Triple Quad mass spectrometer from ICAS Testing Technology Service Co., Ltd. (Shanghai, China).

3. Results and Discussion

3.1. Characterization of THI-rGO Nanocomposite

The morphology and elemental composition of the THI-rGO nanocomposite were investigated. Both rGO (Figure 1A) and THI-rGO (Figure 1B) showed flake-like shapes with wrinkles, but nitrogen and sulfur elements were only observed in THI-rGO (Figure 1C), suggesting the presence of THI [35]. As shown in Figure S1, X-ray diffraction of rGO revealed a diffraction peak at 23.6° indexed to the (002) plane of rGO. Following Bragg’s law, the interplanar distance of rGO was calculated to be 0.37 nm due to the presence of oxygen-containing groups. UV-vis spectrometry was used to characterize the interactions of THI, rGO, and THI-rGO. In Figure 1D, rGO (curve a) shows a strong absorption peak at about 270 nm, assigned to the reduced GO. The characteristic absorption peaks of THI-rGO (curve b) and THI (curve c) at 283 nm, 564 nm and 600 nm were attributed to the π–π* transition of aromatic rings, H-type dimer aggregate, and the n–π* transitions of C=N, respectively [36]. UV-vis spectra showed that the composite material had the characteristic peaks of thionine and rGO, which proved that THI molecules and rGO existed in the composite material [37]. To further investigate the combination method of the composite material, the Raman spectra characteristic absorption bands of rGO (Figure 1E, curve a), THI-rGO (Figure 1E, curve b), and THI (Figure 1E, curve c) were compared. Here, the characteristic peaks at 1152 and 1189 cm−1, 1387 and 1428 cm−1, 1504 cm−1, and 1627 cm−1 were attributed to C–H, C–N and NH2 functional groups and the C=C bond in the THI molecule [38]. Furthermore, the characteristic G band attributed to graphene (1583 cm−1) was consistent with the previous results from the literature, which indicates that THI functionalization does not introduce lattice defects on rGO, confirming the noncovalent interaction hypothesis [39]. Moreover, Zeta potential measurement was used to investigate the surface charge of the stacked structures. The reduced Zeta potential of THI-rGO (−6.81 mV) as compared with that of rGO (−18.5 mV) indicated the presence of electrostatic interaction (Figure 1F) [40,41].
Subsequently, X-ray photoelectron spectroscopy (XPS) analysis was used to further verify the noncovalent boding of THI and rGO. In Figure 2A, the XPS spectrum of THI-rGO can be seen with peaks at 532.7, 400.1, 285.4, and 165.3 eV associated with O1s, N1s, C1s, and S2p, respectively [42]. However, no peaks assigned to N1s and S2p were observed in the XPS spectrum of rGO (Figure 2B). The atomic ratio of C to O in THI-rGO was significantly reduced compared with that of rGO, which was attributed to the oxygen in THI. The N1s deconvolution spectrum of THI-rGO (Figure 2C) revealed several chemical bonds for nitrogen: C–N=C (399.3 eV), C–NH2 (400.3 eV), and NH2 (403.2 eV). The S2p deconvolution spectrum (Figure 2D) displayed two components for sulfur bonds: S2p3/2 C–S–C (168.7 eV) and S2p1/2 C–S–C (165.2 eV) [43,44].
These results verified the successful preparation of the THI-rGO composite via the electrostatic assembly.

3.2. Feasibility of the Ratiometric Electrochemical Aptasensor for AFB2 Assay

The feasibility of the aptasensor was assessed using alternating current voltammetry (ACV) (Figure 3A). After the modification of the THI-rGO, a remarkable peak located at −0.2 V was observed, which was ascribed to the oxidation of THI (Figure 3A, curve a). Chitosan, as a carrier for electrostatic adsorption, did not significantly reduce the current intensity of the THI (curve b). The modification of the Fc-Aptamer-Fc (Fc-Apt-Fc) led to the emergence of a characteristic peak of Fc at 0.5 V (curve c). Upon the addition of AFB2, the peak current of the THI (ITHI) showed no obvious change, while the current of the Fc (IFc) significantly increased (curve d).
Figure 3B shows the electrochemical impedance spectra for different electrodes. Nyquist plots were recorded to characterize the state of the electrode surface during the process of constructing the aptasensor. Electronic transfer resistance (Rct) was used to estimate the interface properties. As shown in Figure 3B, Rct reduced from 76.6 Ω at GCE (curve a) to 18.4 Ω at GCE/THI-rGO (curve b) after the modification of the THI-rGO [45]. After the introduction of chitosan (CS), Rct increased to 45.8 Ω (curve c). The presence of an aptamer with poor conductivity led to an increase of Rct (103 Ω) (curve d) [46]. Upon the addition of AFB2, Rct showed an obvious increase to 660 Ω (curve e).
Thus, the presence of AFB2 led to an increase in IFc and Rct, and this observation was ascribed to the reduced distance between Fc and the electrode resulting from the formation of the AFB2–Apt complex [47]. CS played a vital role in connecting and stabilizing the aptamer [48,49]. The strong electrostatic adsorption between CS and the aptamer did not change the spatial conformation of the aptamer, but the AFB2–Apt conjugate can be retained on the electrode surface [50]. The above explanation was supported by the increased Rct after adding AFB2. Thus, such a ratiometric strategy can be used for AFB2 detection.

3.3. Optimization of Experimental Conditions

Experimental conditions including the incubation time of the target, the aptamer concentration, and the incubation time of the aptamer were optimized to improve the analytical performance of the aptasensor.
As shown in Figure S2A, IFc increased until the concentration of the aptamer (CAptamer) reached 2.0 μM, and then it remained stable due to the saturation of the aptamer on the electrode. The value of 2.4 μM was thus chosen for CAptamer.
Next, the effect of the aptamer incubation time on IFc was investigated. The Fc-Apt-Fc was incubated at 4 °C. The amount of Fc on the electrode reached saturation after 10 h incubation (Figure S2B). Therefore, 12 h was selected as the optimal incubation time.
The time for the reaction between the aptamer and AFB2 was optimized. As shown in Figure S2C, IFc reached a maximum at 80 min, suggesting the completely binding of AFB2 with the aptamer. Thus, 100 min was selected as the optimal reaction time.

3.4. Determination of AFB2

With the optimal parameters, it can be seen from Figure 4A, showing ACVs with multiple concentrations of AFB2 (CAFB2), that the value of IFc increased with higher CAFB2 while that of ITHI remained constant. The ratiometric signals of ITHI/IFc obtained were then plotted against the logarithm of CAFB2 (Figure 4B). According to the constructed calibration plot, a linear range of 0.001–10 ng mL1 was obtained with a regression equation of ITHI/IFc = −0.0883 logCAFB2 − 0.413 (R2 = 0.995). The limit of detection (LOD) was estimated to be 0.19 pg mL1 (3SD/slope; SD is the standard deviation of 10 blank samples). Figure 4C shows the calibration curves using individual IFc as the response signal. A linear relationship was obtained in the ranges from 3.3 pg mL1 to 1 ng mL1 with a regression equation of IFc = 0.293 logCAFB2 + 5.39 (R2 = 0.994). The linear range of the ratiometric aptasensor was better compared to the single-signal aptasensor. Thus, as compared with the single-signal mode, the ratiometric strategy with a built-in reference signal allows a wider linear range for the detection of AFB2. The lamellar structure of rGO has a larger specific surface area, which gives it stronger load capacity. Therefore, the built-in reference signal provided by the THI–rGO composite enhances the stability of the ratiometric aptasensor.
Subsequently, the analytical performance of the ratiometric electrochemical aptasensor was compared with previous reports. As shown in Table 1, compared with HPLC-FLD, pCEC-FLD, and immunochromatography, the linear range and detection limit of the developed aptasensor were reduced by at least two orders of magnitude [51,52,53,54,55]. Although previously reported electrochemical sensors offered relatively wider linear ranges, the developed ratiometric aptasensor has enhanced accuracy [20].

3.5. Selectivity, Reproducibility, and Stability of Proposed Aptasensor

Selectivity is of extreme importance for sensors. In this work, the responses of the developed aptasensor to common mycotoxins, including AFB1, AFM1, OTA, ZEN, and their mixture, were estimated. The concentration of each interferent (0.2 ng mL−1) was 20 times higher than that of AFB2 (0.01 ng mL−1). As shown in Figure 4D, a relatively low signal response was observed in the presence of all these interferent mycotoxins except AFB2 and the developed aptasensor showed high specificity for AFB2, thereby demonstrating its potential applications in real sample analysis.
Then, reproducibility testing was performed using six different aptasensors, and the relative standard deviation (RSD) was 4.2% (Figure S3A). To estimate the stability, a batch of developed aptasensors were stored at 4 °C, and the stability test was carried out every other day. As shown in Figure S3B, the intensity of ITHI/IFc decreased as the storage time extended and the response rate of the aptasensor remained 92.4% of that of the first day on the seventh day, showing high stability.

3.6. Analysis of AFB2 in Peanut Powder and Peanut Oil

To assess the practical applicability, the developed ratiometric electrochemical aptasensor was applied to AFB2 analysis in peanut and peanut oil samples (0.01, 1, and 10 ng mL−1). In order to verify the accuracy of the as-developed method, these samples were also analyzed using HPLC-MS/MS. As shown in Table 2, the recovery rates with the developed aptasensor were in the range from 98.6% to 108%, with RSD below 9.1%, which was consistent with the results from HPLC-MS/MS. All the above results suggest that the developed aptasensor can be used for practical applications.

4. Conclusions

A simple ratiometric electrochemical aptasensor was constructed to detect AFB2. The THI-rGO nanocomposite was prepared using electrostatic interaction and bonded to the electrode surface via electrostatic adsorption to the output reference signal, while a Fc-labeled aptamer was used to generate the response signal. Raman spectroscopy, XPS, SEM, and Zeta potential measurements were conducted to prove the successful synthesis of materials. The proposed aptasensor demonstrated a wide linear range with a relatively low detection limit for AFB2 analysis. The practical applicability was validated using peanut and peanut oil samples analysis with the developed sensor. Moreover, the aptasensor displayed results consistent with HPLC-MS/MS. This aptasensor offers a simple but reliable method for the detection of mycotoxins in agricultural production.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/chemosensors10050154/s1, Figure S1: XRD spectra of rGO, Figure S2: Optimization of experimental conditions: (A) effect of aptamer concentration, (B) incubation time of the aptamer, (C) incubation time of AFB2 for the peak current. Error bars represent the relative standard deviation (RSD, n = 3), Figure S3: (A) The reproducibility for AFB2 detection from six parallel measurements; (B) the sensing results of the proposed aptasensor for AFB2 detection after storage for 1–7 days.

Author Contributions

F.J.: Investigation, Data curation, Writing—original draft. Y.L. and Q.G.: Resources, Software, Writing—review & editing. D.L.: Methodology, Conceptualization, Formal analysis, Writing—review & editing. S.M.: Resources, Software. C.Z.: Resources, Software. T.Y.: Supervision, Conceptualization, Writing—review & editing. All authors have read and agreed to the published version of the manuscript.

Funding

We would like to thank the support from the National Natural Science Foundation of China (No. 61901193, 22074055, 62001197), the Natural Science Foundation of Jiangsu Province (No. BK20200104), the Innovation/Entrepreneurship Program of Jiangsu Province, the Project of the Faculty of Agricultural Equipment of Jiangsu University, and the Priority Academic Program Development of Jiangsu Higher Education Institutions.

Data Availability Statement

The data presented in this study are available in the Supplementary Materials section.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Shotwell, O.L.; Hesseltine, C.W.; Stubblefield, R.D.; Sorenson, W.G. Production of aflatoxin on rice. Appl. Environ. Microbiol. 1966, 14, 425–428. [Google Scholar] [CrossRef] [PubMed]
  2. Andrade, P.D.; Silva, J.L.G.D.; Caldas, E.D. Simultaneous analysis of aflatoxins B1, B2, G1, G2, M1 and ochratoxin A in breast milk by high-performance liquid chromatography/fluorescence after liquid-liquid extraction with low temperature purification (LLE-LTP). J. Chromatogr. A 2013, 1304, 61–68. [Google Scholar] [CrossRef] [PubMed]
  3. Lorini, C.; Rossetti, F.; Palazzoni, S.; Comodo, N.; Bonaccorsi, G. Biological contamination by micromycetes in dried Boletus edulis: Research of aflatoxin B1, B2, G1, G2 and ochratoxin A. Ann. Ig. 2008, 20, 553–562. [Google Scholar]
  4. Wogan, G.N.; Kensler, T.W.; Groopman, J.D. Present and future directions of translational research on aflatoxin and hepatocellular carcinoma. A Review. Food Addit. Contam. A 2012, 29, 249–257. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Hodnik, V.; Anderluh, G. Toxin detection by surface plasmon resonance. Sensors 2009, 9, 1339–1354. [Google Scholar] [CrossRef] [PubMed]
  6. Cao, H.C.; Huang, H.J.; Xu, W.; Chen, D.Y.; Yu, J.; Li, J.; Li, L.J. Fecal metabolome profiling of liver cirrhosis and hepatocellular carcinoma patients by ultra-performance liquid chromatography-mass spectrometry. Anal. Chim. Acta 2011, 691, 68–75. [Google Scholar] [CrossRef] [PubMed]
  7. Bennett, J.W.; Kale, S.; Yu, J. Aflatoxins: Background, toxicology, and molecular biology. Foodborne Dis. 2007, 655, 355–373. [Google Scholar]
  8. Lai, X.W.; Sun, D.L.; Ruan, C.Q.; Zhang, H.; Liu, C.L. Rapid analysis of aflatoxins B 1, B 2, and ochratoxin A in rice samples using dispersive liquid-liquid microextraction combined with HPLC. J. Sep. Sci. 2014, 37, 92–98. [Google Scholar] [CrossRef]
  9. Ediage, E.N.; Mavungu, J.D.D.; Monbaliu, S. A validated multianalyte LC-MS/MS method for quantification of 25 mycotoxins in cassava flour, peanut cake and maize samples. J. Agric. Food Chem. 2011, 59, 5173–5180. [Google Scholar] [CrossRef]
  10. Moscone, D.; Arduini, F.; Amine, A. A rapid enzymatic method for aflatoxin B detection. Microb. Toxins 2011, 739, 217–235. [Google Scholar]
  11. Rackus, D.G.; Shamsi, M.H.; Wheeler, A.R. Electrochemistry, biosensors and microfluidics: A convergence of fields. Chem. Soc. Rev. 2015, 44, 5320–5340. [Google Scholar] [CrossRef] [PubMed]
  12. Nemiroski, A.; Christodouleas, D.C.; Hennek, J.W.; Kumar, A.A.; Maxwell, E.J.; Fernandez-Abedul, M.T.; Whitesides, G.M. Universal mobile electrochemical detector designed for use in resource-limited applications. Proc. Natl. Acad. Sci. USA 2014, 111, 11984–11989. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Zhai, X.D.; Li, Z.H.; Zhang, J.J.; Shi, J.Y.; Zou, X.B.; Huang, X.W.; Zhang, D.; Sun, Y.; Yang, Z.K.; Holmes, M.; et al. Natural biomaterial-based edible and pH-sensitive films combined with electrochemical writing for intelligent food packaging. J. Agric. Food Chem. 2018, 66, 12836–12846. [Google Scholar] [CrossRef] [PubMed]
  14. Zhang, X.A.; Jiang, Y.J.; Zhu, M.C.; Xu, Y.W.; Guo, Z.M.; Shi, J.Y.; Han, E.; Zou, X.B.; Wang, D. Electrochemical DNA sensor for inorganic mercury (II) ion at attomolar level in dairy product using Cu(II)-anchored metal-organic framework as mimetic catalyst. Chem. Eng. J. 2020, 383, 123182. [Google Scholar] [CrossRef]
  15. Zhang, X.A.; Huang, C.Y.; Jiang, Y.J.; Jiang, Y.X.; Shen, J.Z.; Han, E. Structure-switching electrochemical aptasensor for single-step and specific detection of trace mercury in dairy products. J. Agric. Food Chem. 2018, 66, 10106–10112. [Google Scholar] [CrossRef] [PubMed]
  16. Ge, J.; Zhao, Y.; Li, C.; Jie, G.F. Versatile electrochemiluminescence and electrochemical “On–Off” assays of methyltransferases and aflatoxin B1 based on a novel multifunctional DNA nanotube. Anal. Chem. 2019, 91, 3546–3554. [Google Scholar] [CrossRef]
  17. Wu, S.S.; Wei, M.; Wei, W.; Liu, Y.; Liu, S.Q. Electrochemical aptasensor for aflatoxin B1 based on smart host-guest recognition of β-cyclodextrin polymer. Biosens. Bioelectron. 2019, 129, 58–63. [Google Scholar] [CrossRef]
  18. Ma, X.Y.; Wang, W.F.; Chen, X.J.; Xia, Y.; Duan, N.; Wu, S.J.; Wang, Z.P. Selection, characterization and application of aptamers targeted to Aflatoxin B2. Food Control 2015, 47, 545–551. [Google Scholar] [CrossRef]
  19. Luan, Y.; Chen, J.; Xie, G.; Li, C.; Peng, H.; Ma, Z.H.; Lu, A.X. Visual and microplate detection of aflatoxin B2 based on NaCl-induced aggregation of aptamer-modified gold nanoparticles. Microchim. Acta 2015, 182, 995–1001. [Google Scholar] [CrossRef]
  20. Geleta, G.S.; Zhao, Z.; Wang, Z. A sensitive electrochemical aptasensor for detection of Aflatoxin B2 based on a polyacrylamide/phytic acid/polydopamine hydrogel modified screen printed carbon electrode. Anal. Methods 2018, 10, 4689–4694. [Google Scholar] [CrossRef]
  21. Ahmadi, A.; Danesh, N.M.; Ramezani, M.; Alibolandi, M.; Lavaee, P.; Emrani, A.S.; Abnous, K.; Taghdisi, S.M. A rapid and simple ratiometric fluorescent sensor for patulin detection based on a stabilized DNA duplex probe containing less amount of aptamer-involved base pairs. Talanta 2019, 204, 641–646. [Google Scholar] [CrossRef] [PubMed]
  22. Tian, J.; Wei, W.; Wang, J.; Ji, S.; Chen, G.C.; Lu, J.S. Fluorescence resonance energy transfer aptasensor between nanoceria and graphene quantum dots for the determination of ochratoxin A. Anal. Chim. Acta 2018, 1000, 265–272. [Google Scholar] [CrossRef] [PubMed]
  23. Peng, K.; Xie, P.; Yang, Z.H.; Yuan, R.; Zhang, K.Q. Highly sensitive electrochemical nuclear factor kappa B aptasensor based on target-induced dual-signal ratiometric and polymerase-assisted protein recycling amplification strategy. Biosens. Bioelectron. 2018, 102, 282–287. [Google Scholar] [CrossRef] [PubMed]
  24. Ma, R.N.; Wang, L.L.; Zhang, M.; Jia, L.P.; Zhang, W.; Shang, L.; Jia, W.L.; Wang, H.S. A novel one-step triggered “signal-on/off” electrochemical sensing platform for lead based on the dual-signal ratiometric output and electrode-bound DNAzyme assembly. Sens. Actuators B Chem. 2018, 257, 678–684. [Google Scholar] [CrossRef]
  25. Zhu, C.X.; Liu, D.; Li, Y.Y.; Shen, X.L.; Ma, S.; Liu, Y.; You, T.Y. Ratiometric electrochemical aptasensor for ultrasensitive detection of Ochratoxin A based on a dual signal amplification strategy: Engineering the binding of methylene blue to DNA. Biosens. Bioelectron. 2020, 150, 111814. [Google Scholar] [CrossRef]
  26. Zhang, L.M.; Han, Y.Y.; Zhao, F.; Shi, G.Y.; Tian, Y. A selective and accurate ratiometric electrochemical biosensor for monitoring of Cu2+ ions in a rat brain. Anal. Chem. 2015, 87, 2931–2936. [Google Scholar] [CrossRef]
  27. Hu, R.; Zhang, X.; Chi, K.N.; Yang, T.; Yang, Y.H. Bifunctional MOFs-based ratiometric electrochemical sensor for multiplex heavy metal ions. ACS Appl. Mater. Interfaces 2020, 12, 30770–30778. [Google Scholar] [CrossRef]
  28. Qin, X.; Yin, Y.; Yu, H.; Guo, W.; Pei, M. A novel signal amplification strategy of an electrochemical aptasensor for kanamycin, based on thionine functionalized graphene and hierarchical nanoporous PtCu. Biosens. Bioelectron. 2016, 77, 752–758. [Google Scholar] [CrossRef]
  29. Lai, W.; Zhuang, J.; Tang, J.; Chen, G.; Tang, D.P. One-step electrochemical immunosensing for simultaneous detection of two biomarkers using thionine and ferrocene as distinguishable signal tags. Microchim. Acta 2012, 178, 357–365. [Google Scholar] [CrossRef]
  30. Li, Y.Y.; Liu, D.; Zhu, C.X.; Shen, X.L.; Liu, Y.; You, T.Y. Sensitivity programmable ratiometric electrochemical aptasensor based on signal engineering for the detection of aflatoxin B1 in peanut. J. Hazard. Mater. 2020, 387, 122001. [Google Scholar] [CrossRef]
  31. Tao, D.; Shui, B.Q.; Gu, Y.Y.; Cheng, J.; Zhang, W.Y.; Jaffrezic-Renault, N.; Song, S.Z.; Guo, Z.Z. Development of a label-free electrochemical aptasensor for the detection of Tau381 and its preliminary application in AD and non-AD patients’ sera. Biosensors 2019, 9, 84. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Zhao, Z.; Chen, H.; Ma, L.; Liu, D.; Wang, Z. A label-free electrochemical impedance aptasensor for cylindrospermopsin detection based on thionine–graphene nanocomposites. Analyst 2015, 140, 5570–5577. [Google Scholar] [CrossRef] [PubMed]
  33. Xia, X.; Wang, Y.; Yang, H.; Dong, Y.; Zhang, K.; Lu, Y.; Deng, R. Enzyme-free amplified and ultrafast detection of aflatoxin B1 using dual-terminal proximity aptamer probes. Food Chem. 2019, 283, 32–38. [Google Scholar] [CrossRef] [PubMed]
  34. Guo, M.L.; Hou, Q.; Waterhouse, G.I.N.; Hou, J.Y.; Ai, S.Y.; Li, X.Y. A simple aptamer-based fluorescent aflatoxin B1 sensor using humic acid as quencher. Talanta 2019, 205, 120131. [Google Scholar] [CrossRef] [PubMed]
  35. Ye, Y.; Xie, J.; Ye, Y.; Cao, X.; Zheng, H.; Xu, X.; Zhang, Q. A label-free electrochemical DNA biosensor based on thionine functionalized reduced graphene oxide. Carbon 2018, 129, 730–737. [Google Scholar] [CrossRef]
  36. Han, J.; Ma, J.; Ma, Z. One-step synthesis of graphene oxide–thionine–Au nanocomposites and its application for electrochemical immunosensing. Biosens. Bioelectron. 2013, 47, 243–247. [Google Scholar] [CrossRef] [PubMed]
  37. Zhu, L.; Luo, L.; Wang, Z. DNA electrochemical biosensor based on thionine-graphene nanocomposite. Biosens. Bioelectron. 2012, 35, 507–511. [Google Scholar] [CrossRef] [PubMed]
  38. de Sousa, T.A.S.L.; Fernandes, T.F.D.; Matos, M.J.S.; Araujo, E.N.D.; Mazzoni, M.S.C.; Neves, B.R.A.; Plentz, F. Thionine self-assembled structures on graphene: Formation, organization, and doping. Langmuir 2018, 34, 6903–6911. [Google Scholar] [CrossRef]
  39. Niyogi, S.; Bekyarova, E.; Ithis, M.E.; Zhang, H.; Shepperd, K.; Hicks, J.; Sprinkle, M.; Berger, C.; Lau, C.N.; de Heer, W.A.; et al. Spectroscopy of covalently functionalized graphene. Nano Lett. 2010, 10, 4061–4066. [Google Scholar] [CrossRef] [Green Version]
  40. Wang, Z.; Li, M.; Zhang, Y.; Yuan, J.; Shen, Y.; Niu, L.; Ivaaka, A. Thionine-interlinked multi-walled carbon nanotube/gold nanoparticle composites. Carbon 2007, 45, 2111–2115. [Google Scholar] [CrossRef]
  41. Zhang, X.; Huang, C.; Jiang, Y.; Shen, J.; Geng, P.; Zhang, W.; Huang, Q. An electrochemical glycan biosensor based on a thionine-bridged multiwalled carbon nanotube/gold nanoparticle composite-modified electrode. RSC Adv. 2016, 6, 112981–112987. [Google Scholar] [CrossRef]
  42. Alinajafi, H.A.; Ensafi, A.A.; Rezaei, B. Reduced graphene oxide decorated with thionine, excellent nanocomposite material for a powerful electrochemical supercapacitor. Int. J. Hydrog. Energy 2018, 43, 19102–19110. [Google Scholar] [CrossRef]
  43. Hassan, O.H.; Ibrahim, M.A.; Kudin, T.I.T. Physical investigation of thionine-graphene nanocomposite synthesized using different concentrations of graphene oxide. Gading J. Sci. Technol. 2019, 2, 66–74. [Google Scholar]
  44. Mohammadi, A.; Heydari-Bafrooei, E.; Foroughi, M.M.; Mohammadi, M. Electrochemical aptasensor for ultrasensitive detection of PCB77 using thionine-functionalized MoS2-rGO nanohybrid. Microchem. J. 2020, 155, 104747. [Google Scholar] [CrossRef]
  45. Hu, B.L.; Quhe, R.G.; Chen, C.; Zhuge, F.; Zhu, X.J.; Peng, S.S.; Chen, X.X.; Pan, L.; Wu, Y.Z.; Zheng, W.G.; et al. Electrically controlled electron transfer and resistance switching in reduced graphene oxide noncovalently functionalized with thionine. J. Mater. Chem. 2012, 22, 16422–16430. [Google Scholar] [CrossRef]
  46. Zhu, B.C.; Travas-Sejdic, J. PNA versus DNA in electrochemical gene sensing based on conducting polymers: Study of charge and surface blocking effects on the sensor signal. Analyst 2018, 143, 687–694. [Google Scholar] [CrossRef]
  47. Zuo, X.L.; Song, S.P.; Zhang, J.; Pan, D.; Wang, L.H.; Fan, C.H. A target-responsive electrochemical aptamer switch (TREAS) for reagentless detection of nanomolar ATP. J. Am. Chem. Soc. 2007, 129, 1042–1043. [Google Scholar] [CrossRef]
  48. Bravo-Anaya, L.M.; Armando Slotero, J.F.; Rinaudo, M. DNA/chitosan electrostatic complex. Int. J. Biol. Macromol. 2016, 88, 345–353. [Google Scholar] [CrossRef]
  49. Hu, W.W.; Chen, Y.J.; Ruaan, R.C.; Chen, W.Y.; Cheng, Y.C.; Chien, C.C. The regulation of DNA adsorption and release through chitosan multilayers. Carbohyd. Polym. 2014, 99, 394–402. [Google Scholar] [CrossRef]
  50. Ma, P.L.; Lacertu, M.; Winnik, F.M.; Buschmann, M.D. Stability and binding affinity of DNA/chitosan complexes by polyanion competition. Carbohyd. Polym. 2017, 176, 167–176. [Google Scholar] [CrossRef] [Green Version]
  51. Campos, W.E.O.; Rosas, L.B.; Neto, A.P.; Mello, R.A.; Vasconcelos, A.A. Extended validation of a sensitive and robust method for simultaneous quantification of aflatoxins B1, B2, G1 and G2 in Brazil nuts by HPLC-FLD. J. Food Compos. Anal. 2017, 60, 90–96. [Google Scholar] [CrossRef]
  52. Kim, H.J.; Lee, M.J.; Kim, H.J.; Cho, S.K.; Park, H.J.; Jeong, M.H. Analytical method development and monitoring of Aflatoxin B1, B2, G1, G2 and Ochratoxin A in animal feed using HPLC with fluorescence detector and photochemical reaction device. Cogent Food Agric. 2017, 3, 1419788. [Google Scholar] [CrossRef]
  53. Masinde, L.A.; Sheng, W.; Xu, X.; Zhang, Y.; Yuan, M.; Kennedy, I.R.; Wang, S. Colloidal gold based immunochromatographic strip for the simple and sensitive determination of aflatoxin B1 and B2 in corn and rice. Microchim. Acta 2013, 180, 921–928. [Google Scholar] [CrossRef]
  54. Wan, Q.Y.; Ru, X.; Wang, X.X.; Wang, Y.; Yan, C. Determination of four aflatoxins by pressurized capillary electrochromatography-laser induced fluorescence detection. Chin. J. Anal. Chem. 2015, 7, 1063–1068. [Google Scholar]
  55. Hassani, N.E.A.E.; Bouchikhi, B.; Bari, N.E. Recent development of an electrochemical imprinted sensor for the detection of trace-level of unmetabolized aflatoxin B2 in dairy milk. J. Electroanal. Chem. 2020, 865, 114123. [Google Scholar] [CrossRef]
Scheme 1. Schematic illustration of the fabrication of a ratiometric aptasensor for AFB2 detection.
Scheme 1. Schematic illustration of the fabrication of a ratiometric aptasensor for AFB2 detection.
Chemosensors 10 00154 sch001
Figure 1. SEM characterization of (A) rGO and (B) THI-rGO. (C) Mapping images of THI-rGO. (D) UV-vis absorption spectra and (E) Raman spectra of (a) rGO, (b) THI-rGO and (c) THI. (F) Zeta potential of rGO and THI-rGO.
Figure 1. SEM characterization of (A) rGO and (B) THI-rGO. (C) Mapping images of THI-rGO. (D) UV-vis absorption spectra and (E) Raman spectra of (a) rGO, (b) THI-rGO and (c) THI. (F) Zeta potential of rGO and THI-rGO.
Chemosensors 10 00154 g001
Figure 2. Survey XPS spectra of (A) THI-rGO and (B) rGO. High-resolution (C) N1s and (D) S2p XPS spectra of THI-rGO.
Figure 2. Survey XPS spectra of (A) THI-rGO and (B) rGO. High-resolution (C) N1s and (D) S2p XPS spectra of THI-rGO.
Chemosensors 10 00154 g002
Figure 3. (A) ACV characterization of (a) THI-rGO/GCE, (b) CS/THI-rGO/GCE, (c) Fc-Apt-Fc/CS/THI-rGO/GCE, and (d) AFB2 (1 ng mL−1)/Fc-Apt-Fc/CS/THI-rGO/GCE. (B) Nyquist plots for different electrodes: (a) GCE, (b) THI-rGO/GCE, (c) CS/THI-rGO/GCE, (d) Fc-Apt-Fc/CS/THI-rGO/GCE, and (e) AFB2 (1 ng mL−1)/Fc-Apt-Fc/CS/THI-rGO/GCE. Inset is the Randles equivalent circuit used to fit the impedance spectra.
Figure 3. (A) ACV characterization of (a) THI-rGO/GCE, (b) CS/THI-rGO/GCE, (c) Fc-Apt-Fc/CS/THI-rGO/GCE, and (d) AFB2 (1 ng mL−1)/Fc-Apt-Fc/CS/THI-rGO/GCE. (B) Nyquist plots for different electrodes: (a) GCE, (b) THI-rGO/GCE, (c) CS/THI-rGO/GCE, (d) Fc-Apt-Fc/CS/THI-rGO/GCE, and (e) AFB2 (1 ng mL−1)/Fc-Apt-Fc/CS/THI-rGO/GCE. Inset is the Randles equivalent circuit used to fit the impedance spectra.
Chemosensors 10 00154 g003
Figure 4. (A) ACV responses of the aptasensor to AFB2 with a concentration of (a–i): 0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3, and 10 ng mL−1. Calibration plot of (B) ITHI/IFc and (C) IFc vs. the logarithm of the CAFB2. (D) Comparisons of the aptasensor responses to 0.01 ng mL−1 solution of AFB2 and 0.2 ng mL−1 solution of AFB1, AFM1, OTA, ZEN, and the mixture of the interferences.
Figure 4. (A) ACV responses of the aptasensor to AFB2 with a concentration of (a–i): 0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3, and 10 ng mL−1. Calibration plot of (B) ITHI/IFc and (C) IFc vs. the logarithm of the CAFB2. (D) Comparisons of the aptasensor responses to 0.01 ng mL−1 solution of AFB2 and 0.2 ng mL−1 solution of AFB1, AFM1, OTA, ZEN, and the mixture of the interferences.
Chemosensors 10 00154 g004
Table 1. Comparisons of the developed aptasensor with several previously reported methods for AFB2 detection.
Table 1. Comparisons of the developed aptasensor with several previously reported methods for AFB2 detection.
Method  Linear Range (ng mL−1)Detection Limit (ng mL−1)Ref.
HPLC-FLD 1  0.2–7.00.1[51]
HPLC-FLD 1  1.74–17.40.66[52]
Immunochromatography  0.5–2.50.16[53]
pCEC-FLD 2  102–3 × 10310[54]
UV-vis  2.5 × 10−2–108.3 × 10−3[19]
Electrochemistry  10−4–10210−4[20]
Electrochemistry  10−7–10−32 × 10−7 and 6 × 10−7[55]
Ratiometric electrochemistry   10−3–101.9 × 10−4This work
1 HPLC-FLD: high performance liquid chromatography coupled to a fluorescence detector; 2 pCEC-FLD: pressurized capillary electrochromatography laser-induced fluorescence detection.
Table 2. Determination of AFB2 in peanut and peanut oil with the proposed aptasensor (n = 3) and HPLC-MS/MS.
Table 2. Determination of AFB2 in peanut and peanut oil with the proposed aptasensor (n = 3) and HPLC-MS/MS.
SampleSpiked (ng mL−1)Developed AptasensorHPLC-MS/MS
Detected (ng mL−1)Recovery (%)RSD (%)Detected (ng mL−1)
0.01000.01081086.9- a
Peanut1.000.98698.66.20.997
10.010.41046.110.8
0.01000.01081089.1- a
Peanut oil1.001.071075.30.903
10.010.41045.510.4
a Not detected.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Jia, F.; Li, Y.; Gong, Q.; Liu, D.; Meng, S.; Zhu, C.; You, T. A Simple Ratiometric Electrochemical Aptasensor Based on the Thionine–Graphene Nanocomposite for Ultrasensitive Detection of Aflatoxin B2 in Peanut and Peanut Oil. Chemosensors 2022, 10, 154. https://doi.org/10.3390/chemosensors10050154

AMA Style

Jia F, Li Y, Gong Q, Liu D, Meng S, Zhu C, You T. A Simple Ratiometric Electrochemical Aptasensor Based on the Thionine–Graphene Nanocomposite for Ultrasensitive Detection of Aflatoxin B2 in Peanut and Peanut Oil. Chemosensors. 2022; 10(5):154. https://doi.org/10.3390/chemosensors10050154

Chicago/Turabian Style

Jia, Fan, Yuye Li, Qingfa Gong, Dong Liu, Shuyun Meng, Chengxi Zhu, and Tianyan You. 2022. "A Simple Ratiometric Electrochemical Aptasensor Based on the Thionine–Graphene Nanocomposite for Ultrasensitive Detection of Aflatoxin B2 in Peanut and Peanut Oil" Chemosensors 10, no. 5: 154. https://doi.org/10.3390/chemosensors10050154

APA Style

Jia, F., Li, Y., Gong, Q., Liu, D., Meng, S., Zhu, C., & You, T. (2022). A Simple Ratiometric Electrochemical Aptasensor Based on the Thionine–Graphene Nanocomposite for Ultrasensitive Detection of Aflatoxin B2 in Peanut and Peanut Oil. Chemosensors, 10(5), 154. https://doi.org/10.3390/chemosensors10050154

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop