Next Article in Journal
The Anti-Melanogenic Effects of Ganodermanontriol from the Medicinal Mushroom Ganoderma lucidum through the Regulation of the CREB and MAPK Signaling Pathways in B16F10 Cells
Previous Article in Journal
The Application of Hydrogen Sulfide Fluorescent Probe in Food Preservation, Detection and Evaluation
Previous Article in Special Issue
Non-Invasive Detection of Biomolecular Abundance from Fermentative Microorganisms via Raman Spectra Combined with Target Extraction and Multimodel Fitting
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Molecules
Volume 29
Issue 16
10.3390/molecules29163974
molecules-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Advances in Aptamer-Based Biosensors for the Detection of Foodborne Mycotoxins

by
Yangyang Li
1,
Dan Zhang
2,
Xiaoyuan Zeng
1,
Cheng Liu
1,
Yan Wu
1 and
Cuicui Fu
1,*
1
Chongqing Key Laboratory for New Chemical Materials of Shale Gas, College of Chemistry and Chemical Engineering, Yangtze Normal University, Fuling, Chongqing 408100, China
2
School of Cable Engineering, Henan Institute of Technology, Xinxiang 453003, China
*
Author to whom correspondence should be addressed.
Molecules 2024, 29(16), 3974; https://doi.org/10.3390/molecules29163974
Submission received: 8 May 2024 / Revised: 14 August 2024 / Accepted: 16 August 2024 / Published: 22 August 2024
(This article belongs to the Special Issue Raman Spectroscopy for Biological Applications)
Browse Figures
Versions Notes

Abstract

:
Foodborne mycotoxins (FBMTs) are toxins produced by food itself or during processing and transportation that pose an enormous threat to public health security. However, traditional instrumental and chemical methods for detecting toxins have shortcomings, such as high operational difficulty, time consumption, and high cost, that limit their large-scale applications. In recent years, aptamer-based biosensors have become a new tool for food safety risk assessment and monitoring due to their high affinity, good specificity, and fast response. In this review, we focus on the progress of single-mode and dual-mode aptasensors in basic research and device applications over recent years. Furthermore, we also point out some problems in the current detection strategies, with the aim of stimulating future toxin detection systems for a transition toward ease of operation and rapid detection.

Graphical Abstract

1. Introduction

FBMTs entering the human body through ingestion to a certain extent can cause the occurrence of diseases. To date, various FBMTs have been identified and classified, mainly according to toxicology, as ochratoxins (OTs), fumatoxins (FBs), aflatoxins (AFs), zearalenone (ZEN), deoxynivalenol (DON), and T-2 toxin [1,2,3,4]. These toxins have certain thermal stability and can accumulate in the food chain, potentially causing lesions in organs such as the liver and kidney at an extremely low concentration [5,6,7,8]. Therefore, it is absolutely crucial to develop toxin detection methods that are highly sensitive, straightforward to operate, and cost-effective, as they will greatly contribute to the health and well-being of both humans and animals.
In recent decades, various forms of detection methods for FBMTs have been developed that contribute greatly to public health. Thin layer chromatography (TLC), as an early chemical analysis method, is suitable for primary large-scale sample screening due to its stability, simple operation, and low cost [9]. Currently, advanced TLC scanners have effectively promoted their applications in qualitative and quantitative detections [10,11]. However, this instrument analysis method, similar to gas chromatography [12], high performance liquid chromatography [13], mass chromatography spectrometry [14], atomic absorption spectroscopy [15], X-ray fluorescence spectroscopy [16], etc., typically requires expensive instrument equipment, skilled operators, highly toxic chemical reagents, and cumbersome pretreatment processes, which consume a lot of time and labor and ultimately limit its functionality to some extent. Furthermore, the use of antibodies as recognition elements, coupled with various signal transduction mechanisms in immunoassays, has received considerable attention for their precise capture and significant detection of diverse targets in numerous fields [17,18,19,20,21]. As the most effective immunoassay method, the enzyme-linked immunosorbent assay has the advantages of selectivity, sensitivity, and autonomy [22]. However, there are still some drawbacks, such as an expensive detector, a long test period, and the reliance on a professional operator. For this reason, biosensors based on specific probes that can accurately and quickly capture target toxins have become an ideal candidate [23,24].
Aptamers, also known as “chemical antibodies”, are oligonucleotide sequences that can be selected by the systematic evolution of ligands by exponential enrichment (SELEX). They have high affinity and specificity for various biological ligands, exhibiting unique biological and chemical properties [25]. Compared to natural antibodies, aptamers have the following advantages [26]: First, the aptamer has a higher surface density, which helps to improve the efficiency in binding of its target [27]. Second, aptamers have higher stability, making the conditions for storage less stringent than those for the storage of natural antibodies [28]. Third, aptamers can be customized to meet specific requirements, including synthesis, production, and purification [29]. Overall, as an oligonucleotide sequence, aptamers have a highly flexible structure and can be modified through appropriate post-SELEX techniques [29]. Significantly, considering the aptamer’s remarkable stability and resistance to degradation, its performance will remain unaffected following functional group modifications. Moreover, the aptamers, which are both cost-effective and non-toxic, are selected in vitro without the need for animal experiments. [30]. Based on the above advantages, aptamers can specifically bind to a variety of target substances, such as metal ions [31], amino acids [32], nucleotides [33], small organic molecules [34], toxins [35], enzymes [36], cells and bacteria [37,38], and other proteins [39]. Aptasensors based on aptamer and target specific recognition can be combined with chemical materials to convert detection results into different signals, such as chromaticity (CM) [40], fluorescence (FL) [41], electrochemistry (EC) [42], photoelectrochemistry (PEC) [43], surface enhanced Raman spectroscopy (SERS) [44], etc., to achieve qualitative or quantitative detection of targets (Scheme 1). As a result, the single-mode aptasensors capable of outputting a single signal and the dual-mode aptasensors capable of simultaneously outputting two signals have received widespread attention. Among them, the dual-mode aptasensor can verify two signals simultaneously, thereby expanding the detection range and enhancing overall accuracy. In recent years, various forms of dual-mode aptasensors have been frequently reported for the analysis and detection of biological targets. For example, Liu et al. reviewed the latest progress of SERS dual-mode aptasensing technology in the detection of pathogenic bacteria, biotoxins, and drug residues [45]. In addition, as the concern with food safety rises ceaselessly, dual- and multi-mode aptamer sensing technology will become an important research topic.
Aptamers are considered superior molecular recognizers, and aptamer-based biometric techniques have the potential to replace traditional methods, offering quicker, more sensitive, and highly reliable detection. In this review, we have focused on the recent development and future challenges of dual-mode aptamer sensors. It is expected to provide valuable information for the detection of FBMTs.

2. Detection Strategies on Aptamer Sensors for Foodborne Mycotoxins

2.1. Single-Mode Aptamer Sensors

On the basis of the specific binding of aptamer and target, the concentration of target substance can be converted into measurable physical signals by appropriate techniques. For this reason, aptamer sensors with different detection modes and suitable for different detection objects have been developed in recent years.
CM aptamer sensors have attracted scientists’ attention for their fast detection speed, the ability to be seen with the naked eye, low equipment price, and portability. The detection purposes are achieved based on color change of the target substance [46], change of cationic polymers [47], oxidation of substrate by enzyme [48], catalyzed oxidation of nanomaterials [49], or the aggregation or disaggregation of nanoparticles [50,51]. Typical CM aptamer sensors often employ a sandwich or hairpin structure to identify and capture targets [52,53,54]. Bhairab et al. developed a sandwich structure CM aptasensor using gold nanoparticle (AuNP) as a CM probe to detect enterotoxin B (SEB). When SEB exists, the color change of the system can be observed with the naked eye, and the concentration of SEB can be measured by instruments. The results show that the linear concentration response range of SEB was 50 μg/mL to 0.5 ng/mL (Figure 1a) [50].
The FL aptasensor realizes quantitative detection through fluorescence change via the combination of aptamers and a fluorescent probe, which is more sensitive and selective in comparison with colorimetry. The sandwich structure applied to CM sensors can also be used in FL sensors [55,56,57,58]. Dou et al. constructed a biosensor for tetrodotoxin (TTX) sensing by combining with zirconium fluorescent nanoscale metal-organic frameworks (NMOFs) and TAMRA labeled aptamer. In the process of identifying and capturing TTX, the structure of the aptamer will undergo a change, resulting in a decrease in the green light from NMOFs, while the red emission of the TAMRA labeled aptamer will increase due to the fluorescence resonance energy transfer (FRET) effect. This strategy has been successfully used for toxin sensing in shellfish samples, with a limit of detection (LOD) of 3.07 nM for TTX (Figure 1b) [59].
In 2004, Ikebukuro et al. developed an aptamer biosensor with current as a detection signal for the first time to quantitatively analyze thrombin [60]. After 20 years of evolutionary development, EC aptamer sensing technology has made great progress in modifying the electrode surface [61] and developing multi-signal output modes [62] so as to adapt to the detection of different labeled substances. In one study, an EC aptasensor was designed for quantitative analysis of the T-2 toxin based on the amplification of the signal assisted by Ag+-dependent DNAzymes. In the presence of T-2 toxin, Ag+ that has already been captured by the aptamer will be released, ultimately leading to a decrease in the EC signal. The results of detecting T-2 toxin in beer indicate that this method exhibits enormous potential in food safety and quality control (Figure 1c) [63].
Raman spectroscopy can obtain information on the chemical structure of substances at a molecular level and provide fingerprint recognition spectra [64]. At present, SERS technology developed on the basis of Raman scattering can significantly enhance Raman signals by generating electromagnetic and chemical enhancements on the substrate, thereby improving the detection sensitivity of targets [65,66,67]. Combining SERS technology with aptamer recognition ability and utilizing the advantages of fingerprint information, rapid detection, and ultra-high sensitivity, SERS aptamer sensors have been successfully applied to detect various FBMTs [68,69]. Guo et al. designed a SERS aptamer sensor by combining Au-Ag composite (ADANR) with chitosan-modified Fe3O4 NP (CS-Fe3O4) [70]. In this sensing system, the ADANR was a signal probe, while the CS-Fe3O4 with aptamer modification served as the capture probe (Figure 1d). It has an LOD of 0.0384 ng/mL for detecting Patulin (PAT) in actual samples, with a recovery range of 96.3% -108%, demonstrating good sensitivity and specificity.
In addition to the commonly used aptasensors mentioned above, the combination of aptamers with other cutting-edge technologies also has potential in detecting mycotoxins, including PEC biosensors [71], acoustic biosensors [72], magneto-impedance biosensors [73], thermometric biosensors [74], etc. PEC sensing technology incorporates photoelectric conversion properties of substances, creating a powerful analytical tool known as the PEC biosensor. The sensor exhibits exceptional sensitivity and remarkably low background signals, making it an invaluable asset in various analytical applications [71]. Acoustic sensors achieve precise targeting analysis by relying on the relevant physical properties of sound waves, namely changes in sound velocity, resonance frequency, and dissipation, which are directly related to the quantity of the targeted objects. The most notable feature of acoustic sensors is their exceptional sensitivity, which has garnered significant attention [72]. Magneto-impedance sensors generate signals based on the changes in electrical resistance of magnetic particles due to an applied magnetic field. These magnetically responsive particles, once modified, can bind to a variety of targets such as enzymes, bacteria, mycotoxins, proteins, etc., making them highly versatile and promising for use in a wide range of biomedical applications [75]. Thermometric sensors use temperature changes caused by biochemical reactions as their basis. The key component of these sensors is a biological receptor adhered to a thermistor. After the bioreceptor undergoes a biochemical reaction with its target, the resulting change in temperature will alter the thermistor’s resistance. The magnitude of this temperature change is directly proportional to the amount of the target, making it possible to achieve quantitative analysis [74].

2.2. Dual-Mode Aptamer Sensors

A dual-mode aptamer sensor can achieve dual-signal output through a multifunctional probe. Commonly used dual-mode probes include integrated probes and combined probes. The former usually requires a molecule with dual-signal response function, which can be easily modified to achieve dual-mode detection, but its quantity and types are often limited, whereas the latter can freely choose and combine probes according to demand to catalyze the generation of different signals from two substrates, resulting in the combined dual-mode probes being more applicable and practical. Compared with single-mode aptamer sensors, dual-mode aptamer sensors have received more widespread attention. We summarize some representative information on these two types of sensors for toxin detection and list them in Table 1.

2.2.1. CM-FL Aptamer Sensors

The most prominent feature of the dual-mode CM-FL sensing system is its ability to simultaneously visualize detection and imaging. Furthermore, the difference in sensitivity between the CM and FL probes enables the dual-mode aptasensors of the CM-FL to satisfy the requirements for both qualitative analysis and quantitative detection.
Khalil et al. designed an unlabeled dual-mode CM-FL aptamer sensor for ultrasensitive detection of OTA (Figure 2a) [84]. The functional basis of the sensor was the arrangement rule of the liquid crystal (LC) and the connection mode between SGI dye and double-stranded DNA structure. The specific binding between OTA and the aptamer leads to the destruction of the DNA double-stranded structure, and the orientation state of the LC molecules also changes. These changes can be converted into optical image signals and observed through a polarized light microscope. On the other hand, OTA can also affect the number of SGI dye and observe the fluorescence brightness trend through fluorescence microscopy. Based on colorimetric and fluorescence responses, the aptasensor has detected ultralow levels for OTA with LODs of 0.047 aM and 34 fM, respectively, demonstrating good sensitivity and specificity. Luo et al. constructed a CM-FL aptamer sensing platform based on the coumarin benzothiazole molecule (DR1) and OTA binding aptamer for quantitative analysis of OTA [85]. Through OTA competition, this sensor generated fluorescent signals to provide a fast, label-free, and sensitive detection solution. In CM mode, the presence or absence of OTA will affect the color conversion of DR1, from purple to blue or from blue back to purple. Based on these optical conversion features, they have established a smartphone-based detection system that can convert color changes into RGB values, achieving visualization of OTA detection in real samples. The detection object is still OTA, and in a recent study, a portable CM-FL aptamer sensor based on the G-quadruplex DNAzyme has been designed (Figure 2b) [86]. The G-quadruplex DNAzyme probe was self-assembled from OTA aptamers coupled with magnetic beads and two fragments of DNA and hemin, used to catalyze Amplex Red and generate strong fluorescence signals. However, in the presence of OTA, the structure of the probe was disrupted, leading to a decrease in catalytic activity and showing quantitative detection of OTA. The results show that the LOD for CM and FL are 0.008 μg/kg and 0.011 μg/kg, respectively, and the recovery of the wheat sample is in the range of 76.0–82.5%.
Based on aptamer@NaYF4:Ce/Tb and AuNPs, Huang et al. developed a simple and rapid CM-FL sensing platform to detect histamine in fish [95]. The NaYF4: Ce/Tb as donor transfers energy to AuNP, which leads to the quenching of FL signals in the detection system. However, when histamines are present, AuNP-captured aptamers will be released from their surface, inducing fluorescence recovery (Figure 2c). This dual-signal-responsive aptasensor exhibits good detection sensitivity with an LOD of 4.57 nmol/L. The sensing platform has been successfully applied to the detection of histamine in fish, with recovery of 82.19–105.94%.
In the detection of food pesticide residues, Niu et al. designed a dual-mode aptasensor based on CPNs (IV) that can provide two independent and non-interference CM and FL signals. The sensing principle was the target-induced acid phosphatase inhibitory activity and its potential impacts on the luminescence and oxidase mimetic activity of CPNs (IV) (Figure 2d). In the malathion detection experiment, this sensing platform demonstrated good analytical performance [96].

2.2.2. SERS-FL Aptamer Sensors

SERS technology can significantly enhance Raman signals by exposing the analyte to the substrate and generating hotspots. Combining SERS detection technology with aptamers can further enhance the strength of SERS signals and improve detection accuracy and sensitivity [97]. The FL aptamer sensors obtain signals on the basis of FL intensity of direct or indirect chemical reactions between the analyte and substrate, leveraging the high detection sensitivity of FL and the high specificity of aptamer.
In recent years, SERS-FL aptamer sensors, which combine the advantages of SERS, FL, and aptamer, have shown great potential in the detection and analysis of FBMTs. Sun et al. constructed a SERS-FL dual-mode aptamer sensor using the fluorescent dye cy5 as an FL and Raman dual probe. In addition, silver coated polyethylene imine-modified magnetic nanospheres were used to absorb the cy5-modified aptamer [87]. The sensor detected AFB1 in peanuts, walnuts, and almonds, and the results showed that the linear ranges of FL and SERS methods were 0.2–20,000 ng/mL and 0.001–1000 ng/mL, respectively, with LODs of 0.135 ng/mL and 0.45 pg/mL, respectively (Figure 3a). The sensors that integrated SERS and FL technologies demonstrated excellent complementarity in terms of detection range and LOD.
Precious metals with rough surfaces, such as gold and silver, often play an important role in SERS technology [89,98]. In one study, a SERS-FL dual detection signal aptasensor was designed by the high affinity of Cy3cDNA chains for plasma gold nanostars (GNSs) for sensitive detection of hepatotoxin MC-LR [99]. The presence or absence of MC-LR will cause signal changes in FL “off” and SERS “on” or FL “on” and SERS “off” to achieve dual-mode quantitative detection of the target substance (Figure 3b).
Upconversion nanoparticles (UCNPs) have advantages such as good chemical stability, sharp emission bands, a high signal-to-noise ratio, and low photobleaching and toxicity, and their anti-Stokes properties prevent coexcitation between donors and receptors, thereby reducing the possibility of false positive signals [100]. Therefore, UCNP is considered an excellent probe for FL biosensor [101]. As in Figure 3c, Wu et al. designed a “turn-on” SERS-FL dual-signal sensing platform by hybridizing complementary DNA coupled UCNPs and organic dye TAMRA-aptamer-modified AuNPs [88]. In the quantitative detection of OTA, simultaneous enhancement of SERS and FL signals was achieved because of the preferential binding between the aptamer and OTA and the conformational changes of the aptamer. The results showed that the LOD of SERS and FL were 8.6 pg/mL and 3.2 pg/mL, respectively. In addition, its recoveries of SERS and FL were 92.4–108% and 95.2–103%, respectively, for the detection of OTA in beer.
The SERS-FL dual-mode aptamer sensor also plays an important role in detecting multiple FBMTs simultaneously. In a study, an aptasensor based on SERS and FRET technology was assembled for simultaneous determination of three toxins; that is, OTA, ZEN, and FB1 [102]. The sensing principle is shown in Figure 3d. The LODs for OTA, ZEN, and FB1 are 0.01 ng/mL, 0.03 ng/mL, and 0.02 pg/mL, respectively, which demonstrate good selectivity and sensitivity and provide useful information for the development in the detection of multiplexed FBMTs.

2.2.3. EC-PEC Aptamer Sensors

Among various biosensing technologies, EC-PEC dual-mode aptamer sensors have always been a research hotspot due to their fast response speed, simple preparation, good portability, and high sensitivity [103,104,105]. The technical core of EC-PEC dual-mode aptamer sensors to achieve high quality detection is the selection of appropriate semiconductor materials and photoactive materials to overcome the recombination of photogenerated carriers [106].
The Yan research group designed an in situ coupling aptasensor for EC and PEC using methylene blue (MB) as a bifunctional probe [107]. Among them, MB serves as a bridge for the coupling of EC and PEC and simultaneously outputs two types of signals (Figure 4a). In the detection of streptomycin (STR), the linear ranges for EC and PEC are 1 × 10−11–1 × 10−5 M and 1 × 10−9–1 × 10−4 M, respectively. Zhang et al. used AuNP/PCZIF-8-ZnO composite material as a photoelectron substrate and assembled a paper-based EC-PEC aptasensor based on the distance modulation sensing strategy for quantitative analysis of AFB1 [91]. AuNP/PCZIF-8-ZnO with good conductivity can accelerate the electron migration rate and improve photoelectric conversion efficiency. Furthermore, the target substance AFB1 plays a role in the regulation of the distance between electroactive molecules and AuNP/PCZIF-8-ZnO, leading to changes in EC and PEC signals (Figure 4b). The dual-mode detection device has a wide detection range and a low detection limit, and it has shown good potential in the detection of AFB1 in actual samples.
Specific binding of different aptamers to the same target may result in significant differences in sensing effects. For example, Liu et al. selected different sequences of aptamers (i.e., A22, A34, A42, A45) to design four EC-PEC dual-mode sensors and compared their performance differences in the detection of PAT [92]. They found that although A42 showed the highest affinity for PAT, when the synergistic effects of steric hindrance and electron transfer distance were considered, A22 became the best choice (Figure 4c). This study explored the impact of aptamers with different sequences on the sensing of the same target rather than just focusing on their affinity to the target, which can help design aptasensors with suitable aptamers.
In recent years, some researchers have begun to pursue visualization of EC or PEC signals in order to meet the needs of miniaturization of instruments and detection on-site [108,109]. Zou et al. constructed an aptasensor for detection of DON in food using a small chip fabricated by laser etching to generate PEC and visual electrical signals simultaneously (Figure 4d) [93]. This aptasensor has the advantages of fast detection speed and good portability, and it exhibits good sensitivity and selectivity in detecting DON by the results of orthogonal experiments and fitting equations.

2.2.4. Other Dual-Mode Aptamer Sensors

In recent years, various cutting-edge technologies combined with aptamer sensors have continuously emerged, promoting the innovation of detection technology for mycotoxins, bacteria, viruses, heavy metal ions, etc. [73,110,111].
Chemiluminescence (CL) connects the activity of molecules with luminescence through chemical methods, which helps to realize the detection of biomolecules. Jiang et al. combined electrochemiluminescence (ECL) with EC technology to design a dual-mode aptamer sensor based on the bifunctional nanomaterial PoPD/Ru-Au for the detection of alternariol (AOH) in fruits [112]. The complementarity of PoPD and Ru-Au effectively amplifies the ECL and EC signals, showing a wide response range (Figure 5a).
SERS technology is often used to construct multimodal biosensors because of its high sensitivity, freedom from labels, simplicity, and versatility. Recently, a study proposed a dual-mode SERS-CM aptasensor for ultra-sensitive detection of STX2 using Mn/Fe-MIL(53)@AuNSs as a CM probe, and modified AuNSs as a SERS probe [90]. Theoretical simulation and experimental verification have shown that Mn/Fe-MIL(53)@AuNSs have good peroxidase activity and high Raman response, and satisfactory recovery has been obtained in the detection of STX2 in milk. Yao et al. adopted Ag@Cu2O NPs as markers to design an anti-interference SERS-EC aptamer sensor to detect TTX in the range of 100 pg/mL–10 μg/mL. The EC and SERS signals were collected based on the specific peak intensities, with LODs of 31.6 pg/mL and 38.3 pg/mL, respectively (Figure 5b) [94].
The principle of fluorescence polarization (FP) immunoassay is that fluorescent substances absorb the energy of excitation light and emit polarized fluorescence in a single plane. Based on this, Zhu et al. designed an FL-FP split aptasensor for the detection of T-2 toxin in peanuts, as shown in Figure 5c [113]. Graphene oxide (GO) nanosheets serve as signal switches, and their presence or absence determines the on/off of FL and FP signals, which are used to determine T-2 toxin. The detection range of this sensor covers from 0.1 to 50 nM. In the detection of peanut samples, the recovery rates of FL and FP modes are 101.7–115.2% and 109.8–121.6%, respectively.
For the simultaneous detection of multiple toxins, Gao et al. designed a high-throughput biosensor based on SERS and magnetic relaxation switch (MRS) for the detection of three AF subtypes (i.e., AFB1, AFB2, and AFM1) [114]. As shown in Figure 5d, Au-Ag Janus NPs and Au mushroom NPs exhibit strong noninterfering SERS responses and were used as SERS nanolabels to distinguish AFB1 and AFB2. Meanwhile, Fe3O4@AuNP modified with the AFM1 aptamer was employed as an MRS probe to monitor AFM1. The designed dual-mode detection platform demonstrated good discrimination and amplification performance of SERS signals, as well as high transverse relaxation time, which achieved synchronous detection of AFB1, AFB2, and AFM1.

3. Aptamer Sensors for In-Field Detection

In-field testing differs from laboratory measurement in terms of purpose and method. In-field testing mainly uses qualitative analysis techniques to evaluate the presence of a specific target in a specific sample, while laboratory measurements usually use large instruments to quantitatively analyze the target. In terms of specific operations, for example, field testing equipment usually uses PCR and nucleic acid signal amplification technology, while laboratory measurements usually require the use of quantitative real-time PCR technology [115]. It could be argued that in-field testing is a prerequisite for laboratory measurement, and the two are jointly applied to the diagnosis and treatment of diseases.
In order to meet the requirements of real-time and rapid in-field detection, portable biosensors with small size, low cost, and simple operation (no need for professional operators) provide a feasible solution for early disease diagnosis, food quality detection, environmental pollution monitoring, etc. Biosensors can be combined with integrated signal readers to realize Plus-and-Play in detection devices, such as paper-based fluid devices [116], micro-fluidic chips [117], intelligent integrated devices [118], etc. At present, portable aptasensors have been applied in the detection of FBMTs, greatly reducing detection costs and time by directly converting target concentrations into visible signals. For example, a portable nanopore current amplifier was designed that relied on an immobilized aptamer-based nanopore signal conversion strategy for the detection of OTA [119]. As shown in Figure 6a, the preferential binding of OTA and aptamer releases single-stranded DNA (ssDNA) probes from the surface of magnetic beads, and then the released ssDNA is captured by the nanopore and converted into current signals. This sensing platform has realized the detection of OTA in corn, with an ultra-low detection line of 1.697 pmol/L. Some researchers have attempted to simultaneously identify and detect multiple mycotoxin targets in a single measurement in order to improve the detection efficiency of sensors. Jia et al. developed a CL-optical fiber aptasensor based on the specific recognition mechanism of ssDNA and aptamers that was used for synchronous determination of multiple FBMTs on-site [1]. The optical fiber biosensor consists of three parts: a signal display system consisting of a photon counting detector and a laptop, an eight-channel sensing fiber, and a sampling area (Figure 6b). This sensing system has shown excellent stability and selectivity in the synchronous detection of AFB1, FB1, OTA, and ZEN in infant cereals. In addition, Jin et al. developed an integrated portable device for lateral flow aptamer assay (LFAA) combined with a smartphone, which was used for the synchronous detection of multiple different types of targets [120]. As depicted in Figure 6c, by using multicolored UCNPs functionalized with aptamer as probes, the concentration of each target can be observed from the intensity of the corresponding color band through the competitive format. The biosensor synchronously detected three different types of target substances, OTA (small molecules), Ag+ (ions), and Salmonella (bacteria), in tap water within 30 min, and displayed the detection results on smartphone software. The advantage of dual-mode sensors comes mainly from their ability to provide two different signals, which can complement each other and ensure more accurate analysis results. However, dual-mode sensors typically require the collaboration of two different devices, which are bulky and have poor portability. In response to this challenge, the Feng group designed an EC-CM paper-based analytical device (PAD) to detect OTA by using wax printing and screen printing and Ch-MoS2-Au@Pt-apta2 as a sensing element [121]. The PAD integrates micro-fluidic chip, electrode, and dual-signal output components (Figure 6d). If there is OTA, the Ch-MoS2-Au@Pt-apta2 will specifically bind to it and catalyze the reduction of H2O2 to achieve EC signals. Then, the hydroxyl radicals (•OH) generated by catalysis flow toward the colorimetric region, promoting the oxidation of 3,3′,5,5′-tetramethylbenzidine for visual detection.
In recent years, research on the integration of aptamers into lab-on-a-chip (LOC) systems has received widespread attention [122,123]. The most prominent feature of LOC is its ability to perform laboratory procedures such as separation, mixing, washing, detection, and high-throughput signal transmission on a tiny chip [124]. Therefore, it is significant and challenging to logically and efficiently deploy these functional components on a chip substrate. To address these challenges, the development of the LOC-aptasensor device should concentrate on two key areas: First, it is essential to enhance the flexibility, conductivity, wear resistance, and mechanical resistance of the chip materials, while thoroughly exploring the theory of device biointerfaces in order to boost their biocompatibility. Second, it is essential to screen high-performance aptamers in reaction to the complexity of biological samples. Just as computer chip can miniaturize a computer, LOC can also miniaturize a laboratory, and the resulting integrated, automated, and portable LOC-aptasonser device is expected to provide valuable assistance for in-field detection of mycotoxins, bacteria, viruses, and more.

4. Conclusions and Outlook

This review provides an overview of the latest advances in aptamer-based biosensors for the detection, analysis, and evaluation of FBMTs, including basic research and on-site detection applications. With the inherent characteristics and integration effects of various scientific technologies, as well as the specific recognition of mycotoxins by aptamers, different types of aptasensors (including single-mode and dual-mode) have been developed. Compared to single-mode aptasensors, dual-mode aptasensors not only enhance detection sensitivity, reliability, accuracy, and efficiency, but also the flexibility in on-site detection by combining with small and micro devices such as paper-based fluid devices, micro-fluidic chips, and intelligent integrated devices. The present study indicates that some aptamer sensing platforms have reached the detection limits of fg/mL in detecting major FBMTs such as OTA, DON, and ZEN, demonstrating the effectiveness of aptamer-based sensing technology. Although some progress has been made in the research of aptamer biosensors, more progress is urgently needed to realize higher sensitivity, selectivity, and practicality.
First, there will be interference between two signals of dual-mode aptasensors, and the sensitivity of dual-mode sensing signals mainly depends on the stability and affinity of the aptamers. Notably, these two properties are often influenced by environmental factors such as temperature, pH, and impurity ions in a biological sample. Therefore, enhancing the specificity and affinity of aptamers through high-tech strategies (such as base mutations, skeleton modifications, and nucleic acid signal amplification technology) coupled with the necessary sample pre-processing can effectively reduce the interference of dual-mode signals.
Second, although aptamers and antibodies have the ability to specifically recognize biological targets, only a few aptamers and antibodies can be developed and utilized, limiting the application space of biosensors. Hence, the screening process should extend beyond aptamers and antibodies, with a broader range of identifying elements considered for various assay types, including peptides, synthetic polymers, molecular receptors, and other affinity agents.
Third, most aptasensors are proof-of-concept models that lack the ability for clinical practice, especially in the face of the complex actual samples. Therefore, continuous efforts to advance and refine aptasensor technology are crucial to increasing its practicality. To optimize the utility of aptamers in assay systems, it is crucial to investigate the impact of these environmental factors, as well as the actual composition of proteins and lipids in the sample, on aptamer-target binding. Researchers should make full use of computer technology to develop multidimensional structural simulation and prediction rather than just focusing on primary sequence analysis. In addition, simulating the docking of an aptamer and target and forming corresponding molecular dynamics models to more accurately evaluate the stability of aptamer-target complexes is also a future consideration.
Fourth, in response to the rising demand for miniaturization, user-friendliness, and intelligence in equipment, the development and commercialization of aptasensors for in-field detection is critically needed. Specifically, the smartphone, which has become a quintessential everyday device, can be transformed into an efficient portable analyzer if it is equipped with biological detection devices and corresponding mobile applications.
In summary, as a continuously developing technique, aptamer sensing is expected to provide more assistance for the detection of mycotoxins, bacteria, viruses, and heavy metal ions.

Author Contributions

Conceptualization, C.F. and Y.L.; methodology, C.F.; validation, D.Z. and Y.W.; investigation, Y.L., X.Z. and C.L.; writing—original draft preparation, Y.L.; writing—review and editing, C.F.; supervision, C.F.; funding acquisition, C.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Science and Technology Research Program of Chongqing Municipal Education Commission (No. KJQN202201417 and KJQN202301412), the Natural Science Foundation of Chongqing (No. CSTB2023NSCQ-MSX0229), the Natural Science Foundation of Hunan Province (No. 2022JJ40364), and the Higher Education Key Research Project of Henan Province (No. 24A140007).

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Jia, Y.; Zhao, S.; Li, D.; Yang, J.; Yang, L. Portable chemiluminescence optical fiber aptamer-based biosensors for analysis of multiple mycotoxins. Food Control 2023, 144, 109361. [Google Scholar] [CrossRef]
  2. Xu, G.; Zhao, J.; Liu, N.; Yang, M.; Zhao, Q.; Li, C.; Liu, M. Structure-guided post-SELEX optimization of an ochratoxin A aptamer. Nucleic Acids Res. 2019, 47, 5963–5972. [Google Scholar] [CrossRef]
  3. Goud, K.Y.; Reddy, K.K.; Satyanarayana, M.; Kummari, S.; Gobi, K.V. A review on recent developments in optical and electrochemical aptamer-based assays for mycotoxins using advanced nanomaterials. Microchim. Acta 2019, 187, 29. [Google Scholar] [CrossRef]
  4. Chen, M.; Qileng, A.; Liang, H.; Lei, H.; Liu, W.; Liu, Y. Advances in immunoassay-based strategies for mycotoxin detection in food: From single-mode immunosensors to dual-mode immunosensors. Compr. Rev. Food Sci. Food Saf. 2023, 22, 1285–1311. [Google Scholar] [CrossRef]
  5. Dong, F.; Ni, T.; Chen, Y.; Sun, Y.; Zheng, Z.; Li, Y.; Gong, C.; Ren, L.; Yan, X.; Wang, G. Foodborne disease outbreaks caused by biotoxins in Yantai city: A 10-year spatiotemporal monitoring study. Foodborne Pathog. Dis. 2023, 21, 194–202. [Google Scholar] [CrossRef]
  6. Ye, L.; Chen, H.; Tsim, K.W.K.; Shen, X.; Li, X.; Li, X.; Lei, H.; Liu, Y. Aflatoxin B1 induces inflammatory liver injury via gut microbiota in mice. J. Agric. Food Chem. 2023, 71, 10787–10797. [Google Scholar] [CrossRef]
  7. Garofalo, M.; Payros, D.; Taieb, F.; Oswald, E.; Nougayrède, J.-P.; Oswald, I.P. From ribosome to ribotoxins: Understanding the toxicity of deoxynivalenol and shiga toxin, two food borne toxins. Crit. Rev. Food Sci. 2023, 1–13. [Google Scholar] [CrossRef]
  8. Stoev, S.D. Foodborne diseases due to underestimated hazard of joint mycotoxin exposure at low levels and possible risk assessment. Toxins 2023, 15, 464. [Google Scholar] [CrossRef]
  9. Lin, L.; Zhang, J.; Wang, P.; Wang, Y.; Chen, J. Thin-layer chromatography of mycotoxins and comparison with other chromatographic methods. J. Chromatogr. A 1998, 815, 3–20. [Google Scholar] [CrossRef] [PubMed]
  10. Nao, S.-C.; Wu, K.-J.; Wang, W.; Leung, C.-H.; Ma, D.-L. Recent progress and development of G-Quadruplex-based luminescent assays for ochratoxin A detection. Front. Chem. 2020, 8, 767. [Google Scholar] [CrossRef]
  11. Zhang, K.; Banerjee, K. A review: Sample preparation and chromatographic technologies for detection of aflatoxins in foods. Toxins 2020, 12, 539. [Google Scholar] [CrossRef]
  12. Vargas Medina, D.A.; Bassolli Borsatto, J.V.; Maciel, E.V.S.; Lanças, F.M. Current role of modern chromatography and mass spectrometry in the analysis of mycotoxins in food. TrAC-Trends Anal. Chem. 2021, 135, 116156. [Google Scholar] [CrossRef]
  13. Smith, L.L.; Francis, K.A.; Johnson, J.T.; Gaskill, C.L. Quantitation of fumonisin B1 and B2 in feed using FMOC pre-column derivatization with HPLC and fluorescence detection. Food Chem. 2017, 234, 174–179. [Google Scholar] [CrossRef]
  14. Hidalgo-Ruiz, J.L.; Romero-González, R.; Martínez Vidal, J.L.; Garrido Frenich, A. A rapid method for the determination of mycotoxins in edible vegetable oils by ultra-high performance liquid chromatography-tandem mass spectrometry. Food Chem. 2019, 288, 22–28. [Google Scholar] [CrossRef]
  15. Ye, J.; Zheng, M.; Ma, H.; Xuan, Z.; Tian, W.; Liu, H.; Wang, S.; Zhang, Y. Development and validation of an automated magneto-controlled pretreatment for chromatography-free detection of aflatoxin B1 in cereals and oils through atomic absorption spectroscopy. Toxins 2022, 14, 454. [Google Scholar] [CrossRef]
  16. Kocot, K.; Pytlakowska, K.; Talik, E.; Krafft, C.; Sitko, R. Sensitive determination of uranium using β-cyclodextrin modified graphene oxide and X-ray fluorescence techniques: EDXRF and TXRF. Talanta 2022, 246, 123501. [Google Scholar] [CrossRef]
  17. Aydin, M.; Aydin, E.B.; Sezgintürk, M.K. Chapter one-Advances in immunosensor technology. Adv. Clin. Chem. 2021, 102, 1–62. [Google Scholar]
  18. Jia, M.; Liao, X.; Fang, L.; Jia, B.; Liu, M.; Li, D.; Zhou, L.; Kong, W. Recent advances on immunosensors for mycotoxins in foods and other commodities. TrAC-Trend. Anal. Chem. 2021, 136, 116193. [Google Scholar] [CrossRef]
  19. Kholafazad-Kordasht, H.; Hasanzadeh, M.; Seidi, F. Smartphone based immunosensors as next generation of healthcare tools: Technical and analytical overview towards improvement of personalized medicine. TrAC-Trend. Anal. Chem. 2021, 145, 116455. [Google Scholar] [CrossRef]
  20. Zhang, H.; Miller, B.L. Immunosensor-based label-free and multiplex detection of influenza viruses: State of the art. Biosens. Bioelectron. 2019, 141, 111476. [Google Scholar] [CrossRef]
  21. Li, Y.; Liu, L.; Kuang, H.; Xu, C. Visible and eco-friendly immunoassays for the detection of cyclopiazonic acid in maize and rice. J. Food Sci. 2020, 85, 105–113. [Google Scholar] [CrossRef]
  22. Siva, S.; Jin, J.-O.; Choi, I.; Kim, M. Nanoliposome based biosensors for probing mycotoxins and their applications for food: A review. Biosens. Bioelectron. 2023, 219, 114845. [Google Scholar] [CrossRef]
  23. Jiang, C.; Lan, L.; Yao, Y.; Zhao, F.; Ping, J. Recent progress in application of nanomaterial-enabled biosensors for ochratoxin A detection. TrAC-Trend. Anal. Chem. 2018, 102, 236–249. [Google Scholar] [CrossRef]
  24. Küçük, N.; Kaya, Ş.; Şahin, S.; Çağlayan, M.O. Structural switching aptamer-based electrochemical sensor for mycotoxin patulin detection. Toxicon 2024, 239, 107583. [Google Scholar] [CrossRef]
  25. Bashir, A.; Yang, Q.; Wang, J.; Hoyer, S.; Chou, W.; McLean, C.; Davis, G.; Gong, Q.; Armstrong, Z.; Jang, J.; et al. Machine learning guided aptamer refinement and discovery. Nat. Commun. 2021, 12, 2366. [Google Scholar] [CrossRef]
  26. Li, D.; Liu, L.; Huang, Q.; Tong, T.; Zhou, Y.; Li, Z.; Bai, Q.; Liang, H.; Chen, L. Recent advances on aptamer-based biosensors for detection of pathogenic bacteria. World J. Microb. Biot. 2021, 37, 45. [Google Scholar] [CrossRef]
  27. Zhao, Y.; Yavari, K.; Liu, J. Critical evaluation of aptamer binding for biosensor designs. TrAC-Trends Anal. Chem. 2022, 146, 116480. [Google Scholar] [CrossRef]
  28. Yu, H.; Alkhamis, O.; Canoura, J.; Liu, Y.; Xiao, Y. Advances and challenges in small-molecule DNA aptamer isolation, characterization, and sensor development. Angew. Chem. Int. Ed. 2021, 60, 16800–16823. [Google Scholar] [CrossRef]
  29. Lyu, C.; Khan, I.M.; Wang, Z. Capture-SELEX for aptamer selection: A short review. Talanta 2021, 229, 122274. [Google Scholar] [CrossRef]
  30. Liu, M.; Yue, F.; Kong, Q.; Liu, Z.; Guo, Y.; Sun, X. Aptamers against pathogenic bacteria: Selection strategies and apta-assay/aptasensor application for food safety. J. Agric. Food Chem. 2022, 70, 5477–5498. [Google Scholar] [CrossRef]
  31. Li, Y.-K.; Li, W.-T.; Liu, X.; Yang, T.; Chen, M.-L.; Wang, J.-H. Functionalized magnetic composites based on the aptamer serve as novel bio-adsorbent for the separation and preconcentration of trace lead. Talanta 2019, 203, 210–219. [Google Scholar] [CrossRef]
  32. Idili, A.; Gerson, J.; Parolo, C.; Kippin, T.; Plaxco, K.W. An electrochemical aptamer-based sensor for the rapid and convenient measurement of l-tryptophan. Anal. Bioanal. Chem. 2019, 411, 4629–4635. [Google Scholar] [CrossRef]
  33. Kovačič, M.; Podbevšek, P.; Tateishi-Karimata, H.; Takahashi, S.; Sugimoto, N.; Plavec, J. Thrombin binding aptamer G-quadruplex stabilized by pyrene-modified nucleotides. Nucleic Acids Res. 2020, 48, 3975–3986. [Google Scholar] [CrossRef]
  34. Zhao, L.; Li, L.; Zhao, Y.; Zhu, C.; Yang, R.; Fang, M.; Luan, Y. Aptamer-based point-of-care-testing for small molecule targets: From aptamers to aptasensors, devices and applications. TrAC-Trends Anal. Chem. 2023, 169, 117408. [Google Scholar] [CrossRef]
  35. Frohnmeyer, E.; Tuschel, N.; Sitz, T.; Hermann, C.; Dahl, G.T.; Schulz, F.; Baeumner, A.J.; Fischer, M. Aptamer lateral flow assays for rapid and sensitive detection of cholera toxin. Analyst 2019, 144, 1840–1849. [Google Scholar] [CrossRef]
  36. Xing, K.-Y.; Peng, J.; Shan, S.; Liu, D.-F.; Huang, Y.-N.; Lai, W.-H. Green enzyme-linked immunosorbent assay based on the single-stranded binding protein-assisted aptamer for the detection of mycotoxin. Anal. Chem. 2020, 92, 8422–8426. [Google Scholar] [CrossRef] [PubMed]
  37. Ouyang, Y.; Fadeev, M.; Zhang, P.; Carmieli, R.; Li, J.; Sohn, Y.S.; Karmi, O.; Nechushtai, R.; Pikarsky, E.; Fan, C.; et al. Aptamer-modified Au nanoparticles: Functional nanozyme bioreactors for cascaded catalysis and catalysts for chemodynamic treatment of cancer cells. ACS Nano 2022, 16, 18232–18243. [Google Scholar] [CrossRef]
  38. Geng, Z.; Cao, Z.; Liu, R.; Liu, K.; Liu, J.; Tan, W. Aptamer-assisted tumor localization of bacteria for enhanced biotherapy. Nat. Commun. 2021, 12, 6584. [Google Scholar] [CrossRef]
  39. Liu, Y.; Qian, X.; Ran, C.; Li, L.; Fu, T.; Su, D.; Xie, S.; Tan, W. Aptamer-based targeted protein degradation. ACS Nano 2023, 17, 6150–6164. [Google Scholar] [CrossRef]
  40. Lu, L.; Yu, R.; Zhang, L. AFB1 colorimetric aptamer sensor for the detection of AFB1 in ten different kinds of miscellaneous beans based on gold nanoparticles and smartphone imaging. Food Chem. 2023, 421, 136205. [Google Scholar] [CrossRef]
  41. Jia, Y.; Zhou, G.; Wang, X.; Zhang, Y.; Li, Z.; Liu, P.; Yu, B.; Zhang, J. A metal-organic framework/aptamer system as a fluorescent biosensor for determination of aflatoxin B1 in food samples. Talanta 2020, 219, 121342. [Google Scholar] [CrossRef] [PubMed]
  42. Wang, C.; Liu, L.; Zhao, Q. Low temperature greatly enhancing responses of aptamer electrochemical sensor for aflatoxin B1 using aptamer with short stem. ACS Sens. 2020, 5, 3246–3253. [Google Scholar] [CrossRef]
  43. Bakhshandeh, F.; Saha, S.; Sen, P.; Sakib, S.; MacLachlan, R.; Kanji, F.; Osman, E.; Soleymani, L. A universal bacterial sensor created by integrating a light modulating aptamer complex with photoelectrochemical signal readout. Biosens. Bioelectron. 2023, 235, 115359. [Google Scholar] [CrossRef]
  44. Jiang, Y.; Sun, D.-W.; Pu, H.; Wei, Q. Ultrasensitive analysis of kanamycin residue in milk by SERS-based aptasensor. Talanta 2019, 197, 151–158. [Google Scholar] [CrossRef]
  45. Liu, L.; Wang, Y.; Xue, Z.; Peng, B.; Kou, X.; Gao, Z. Research progress of dual-mode sensing technology strategy based on SERS and its application in the detection of harmful substances in foods. Trends Food Sci. Tech. 2024, 148, 104487. [Google Scholar] [CrossRef]
  46. Schmitz, F.R.W.; Cesca, K.; Valério, A.; de Oliveira, D.; Hotza, D. Colorimetric detection of pseudomonas aeruginosa by aptamer-functionalized gold nanoparticles. Appl. Microbiol. Biot. 2023, 107, 71–80. [Google Scholar] [CrossRef] [PubMed]
  47. Mahjub, R.; Shayesteh, O.H.; Derakhshandeh, K.; Ranjbar, A.; Mehri, F.; Heshmati, A. A novel label-free colorimetric polyA aptasensing approach based on cationic polymer and silver nanoparticles for detection of tobramycin in milk. Food Chem. 2022, 382, 132580. [Google Scholar] [CrossRef]
  48. Zhang, L.; Tan, Q.-G.; Xiao, S.-J.; Yang, G.-P.; Liu, X.; Zheng, Q.-Q.; Fan, J.-Q.; Liang, R.-P.; Qiu, J.-D. DNAzyme-derived aptamer reversely regulates the two types of enzymatic activities of covalent-organic frameworks for the colorimetric analysis of uranium. Anal. Chem. 2023, 95, 4703–4711. [Google Scholar] [CrossRef] [PubMed]
  49. Zhang, X.; Zhou, Y.; Huang, X.; Hu, X.; Huang, X.; Yin, L.; Huang, Q.; Wen, Y.; Li, B.; Shi, J.; et al. Switchable aptamer-fueled colorimetric sensing toward agricultural fipronil exposure sensitized with affiliative metal-organic framework. Food Chem. 2023, 407, 135115. [Google Scholar] [CrossRef]
  50. Mondal, B.; Ramlal, S.; Lavu, P.S.; N, B.; Kingston, J. Highly sensitive colorimetric biosensor for staphylococcal enterotoxin B by a label-free aptamer and gold nanoparticles. Front. Microbiol. 2018, 9, 179. [Google Scholar] [CrossRef] [PubMed]
  51. Yousefi, S.; Saraji, M. Optical aptasensor based on silver nanoparticles for the colorimetric detection of adenosine. Spectrochim. Acta A 2019, 213, 1–5. [Google Scholar] [CrossRef]
  52. He, Y.; Tian, F.; Zhou, J.; Zhao, Q.; Fu, R.; Jiao, B. Colorimetric aptasensor for ochratoxin A detection based on enzyme-induced gold nanoparticle aggregation. J. Hazard. Mater. 2020, 388, 121758. [Google Scholar] [CrossRef]
  53. Kim, Y.; Yang, J.; Hur, H.; Oh, S.; Lee, H.H. Highly sensitive colorimetric assay of cortisol using cortisol antibody and aptamer sandwich assay. Biosensors 2021, 11, 163. [Google Scholar] [CrossRef]
  54. Liu, M.; Yang, Z.; Li, B.; Du, J. Aptamer biorecognition-triggered hairpin switch and nicking enzyme assisted signal amplification for ultrasensitive colorimetric bioassay of kanamycin in milk. Food Chem. 2021, 339, 128059. [Google Scholar] [CrossRef]
  55. McKeague, M.; Velu, R.; Hill, K.; Bardóczy, V.; Mészáros, T.; DeRosa, M.C. Selection and characterization of a novel DNA aptamer for label-free fluorescence biosensing of ochratoxin A. Toxins 2014, 6, 2435–2452. [Google Scholar] [CrossRef] [PubMed]
  56. Cheng, D.; Yu, M.; Fu, F.; Han, W.; Li, G.; Xie, J.; Song, Y.; Swihart, M.T.; Song, E. Dual recognition strategy for specific and sensitive detection of bacteria using aptamer-coated magnetic beads and antibiotic-capped gold nanoclusters. Anal. Chem. 2016, 88, 820–825. [Google Scholar] [CrossRef] [PubMed]
  57. Shrivastava, S.; Lee, W.-I.; Lee, N.-E. Culture-free, highly sensitive, quantitative detection of bacteria from minimally processed samples using fluorescence imaging by smartphone. Biosens. Bioelectron. 2018, 109, 90–97. [Google Scholar] [CrossRef]
  58. Zhu, W.; Ji, G.; Chen, R.; Xiang, Y.; Ji, S.; Zhang, S.; Gao, Z.; Liu, H.; Wang, Y.; Han, T. A fluorescence aptasensor based on hybridization chain reaction for simultaneous detection of T-2 toxins and zearalenone1. Talanta 2023, 255, 124249. [Google Scholar] [CrossRef] [PubMed]
  59. Dou, X.; Xu, S.; Jiang, Y.; Ding, Z.; Xie, J. Aptamers-functionalized nanoscale MOFs for saxitoxin and tetrodotoxin sensing in sea foods through FRET. Spectrochim. Acta A 2023, 284, 121827. [Google Scholar] [CrossRef]
  60. Ikebukuro, K.; Kiyohara, C.; Sode, K. Electrochemical detection of protein using a double aptamer sandwich. Anal. Lett. 2004, 37, 2901–2909. [Google Scholar] [CrossRef]
  61. Jiang, K.; Nie, D.; Huang, Q.; Fan, K.; Tang, Z.; Wu, Y.; Han, Z. Thin-layer MoS2 and thionin composite-based electrochemical sensing platform for rapid and sensitive detection of zearalenone in human biofluids. Biosens. Bioelectron. 2019, 130, 322–329. [Google Scholar] [CrossRef]
  62. Mao, Y.; Dang, M.; Zhang, J.; Huang, X.; Qiao, M.; Song, L.; Zhao, Q.; Ding, M.; Wang, Y.; Li, Z.; et al. Peptide amphiphile inspired self-assembled, ordered gold nanocomposites for improved sensitivity of electrochemical immunosensor: Applications in determining the total aflatoxin amount in food stuffs. Talanta 2022, 247, 123532. [Google Scholar] [CrossRef]
  63. Wang, L.; Jin, H.; Wei, M.; Ren, W.; Zhang, Y.; Jiang, L.; Wei, T.; He, B. A DNAzyme-assisted triple-amplified electrochemical aptasensor for ultra-sensitive detection of T-2 toxin. Sensor. Actuat. B-Chem. 2021, 328, 129063. [Google Scholar] [CrossRef]
  64. Fleischmann, M.; Hendra, P.J.; McQuillan, A.J. Raman spectra of pyridine adsorbed at a silver electrode. Chem. Phys. Lett. 1974, 26, 163–166. [Google Scholar] [CrossRef]
  65. Albrecht, M.G.; Creighton, J.A. Anomalously intense Raman spectra of pyridine at a silver electrode. J. Am. Chem. Soc. 1977, 99, 5215–5217. [Google Scholar] [CrossRef]
  66. Jeanmaire, D.L.; Van Duyne, R.P. Surface Raman spectroelectrochemistry: Part I. Heterocyclic, aromatic, and aliphatic amines adsorbed on the anodized silver electrode. J. Electroanal. Chem. Inter. Electrochem. 1977, 84, 1–20. [Google Scholar] [CrossRef]
  67. Wu, Z.; Pu, H.; Sun, D.-W. Fingerprinting and tagging detection of mycotoxins in agri-food products by surface-enhanced Raman spectroscopy: Principles and recent applications. Trends Food Sci. Technol. 2021, 110, 393–404. [Google Scholar] [CrossRef]
  68. Zhu, A.; Jiao, T.; Ali, S.; Xu, Y.; Ouyang, Q.; Chen, Q. SERS sensors based on aptamer-gated mesoporous silica nanoparticles for quantitative detection of staphylococcus aureus with signal molecular release. Anal. Chem. 2021, 93, 9788–9796. [Google Scholar] [CrossRef]
  69. Song, L.; Li, J.; Li, H.; Chang, Y.; Dai, S.; Xu, R.; Dou, M.; Li, Q.; lv, G.; Zheng, T. Highly sensitive SERS detection for aflatoxin B1 and ochratoxin A based on aptamer-functionalized photonic crystal microsphere array. Sensor. Actuat. B Chem. 2022, 364, 131778. [Google Scholar] [CrossRef]
  70. Guo, Z.; Gao, L.; Jiang, S.; El-Seedi, H.R.; El-Garawani, I.M.; Zou, X. Sensitive determination of patulin by aptamer functionalized magnetic surface enhanced Raman spectroscopy (SERS) sensor. J. Food Compos. Anal. 2023, 115, 104985. [Google Scholar] [CrossRef]
  71. Dong, X.; Shi, Z.; Xu, C.; Yang, C.; Chen, F.; Lei, M.; Wang, J.; Cui, Q. CdS quantum dots/Au nanoparticles/ZnO nanowire array for self-powered photoelectrochemical detection of escherichia coli O157:H7. Biosens. Bioelectron. 2020, 149, 111843. [Google Scholar] [CrossRef] [PubMed]
  72. Nair, M.P.; Teo, A.J.T.; Li, K.H. Acoustic biosensors and microfluidic devices in the decennium: Principles and applications. Micromachines 2022, 13, 24. [Google Scholar] [CrossRef]
  73. Maldonado, J.; Estévez, M.C.; Fernández-Gavela, A.; González-López, J.J.; González-Guerrero, A.B.; Lechuga, L.M. Label-free detection of nosocomial bacteria using a nanophotonic interferometric biosensor. Analyst 2020, 145, 497–506. [Google Scholar] [CrossRef]
  74. Jiao, F.; Cai, Z. A smartphone-based nanoenzyme-modulated aptasensor using an infrared camera for rapid detection of kanamycin. Chem. Eng. J. 2024, 481, 148699. [Google Scholar] [CrossRef]
  75. Sayad, A.; Skafidas, E.; Kwan, P. Magneto-impedance biosensor sensitivity: Effect and enhancement. Sensors 2020, 20, 5213. [Google Scholar] [CrossRef] [PubMed]
  76. Li, X.; Cheng, R.; Shi, H.; Tang, B.; Xiao, H.; Zhao, G. A simple highly sensitive and selective aptamer-based colorimetric sensor for environmental toxins microcystin-LR in water samples. J. Hazard. Mater. 2016, 304, 474–480. [Google Scholar] [CrossRef]
  77. Li, L.; Zhao, Y.; Yan, X.; Qi, X.; Wang, L.; Ma, R.; Wang, S.; Mao, X. Development of a terminal-fixed aptamer and a label-free colorimetric aptasensor for highly sensitive detection of saxitoxin. Sensor. Actuat. B Chem. 2021, 344, 130320. [Google Scholar] [CrossRef]
  78. Zhang, W.; Wang, Y.; Nan, M.; Li, Y.; Yun, J.; Wang, Y.; Bi, Y. Novel colorimetric aptasensor based on unmodified gold nanoparticle and ssDNA for rapid and sensitive detection of T-2 toxin. Food Chem. 2021, 348, 129128. [Google Scholar] [CrossRef]
  79. Luan, Y.; Chen, J.; Li, C.; Xie, G.; Fu, H.; Ma, Z.; Lu, A. Highly sensitive colorimetric detection of ochratoxin A by a label-free aptamer and gold nanoparticles. Toxins 2015, 7, 5377–5385. [Google Scholar] [CrossRef]
  80. Wang, L.; Chen, W.; Ma, W.; Liu, L.; Ma, W.; Zhao, Y.; Zhu, Y.; Xu, L.; Kuang, H.; Xu, C. Fluorescent strip sensor for rapid determination of toxins. Chem. Commun. 2011, 47, 1574–1576. [Google Scholar] [CrossRef]
  81. Zhao, X.; Wang, Y.; Li, J.; Huo, B.; Qin, Y.; Zhang, J.; Chen, M.; Peng, Y.; Bai, J.; Li, S.; et al. A fluorescence aptasensor based on controlled zirconium-based MOFs for the highly sensitive detection of T-2 toxin. Spectrochim. Acta A 2021, 259, 119893. [Google Scholar] [CrossRef]
  82. Kuang, H.; Chen, W.; Xu, D.; Xu, L.; Zhu, Y.; Liu, L.; Chu, H.; Peng, C.; Xu, C.; Zhu, S. Fabricated aptamer-based electrochemical “signal-off” sensor of ochratoxin A. Biosens. Bioelectron. 2010, 26, 710–716. [Google Scholar] [CrossRef] [PubMed]
  83. Chen, X.; Huang, Y.; Ma, X.; Jia, F.; Guo, X.; Wang, Z. Impedimetric aptamer-based determination of the mold toxin fumonisin B1. Microchim. Acta 2015, 182, 1709–1714. [Google Scholar] [CrossRef]
  84. Khoshbin, Z.; Abnous, K.; Taghdisi, S.M.; Verdian, A.; Sameiyan, E.; Ramezani, M.; Alibolandi, M. An ultra-sensitive dual-responsive aptasensor with combination of liquid crystal and intercalating dye molecules: A food toxin case study. Food Chem. 2022, 381, 132265. [Google Scholar] [CrossRef] [PubMed]
  85. Mou, Y.; Zhang, Y.; Chen, M.; Lin, X.; Zhang, J.; Han, J.; Luo, X. Dual-mode aptasensor based on a coumarin-benzothiazole fluorescent and colorimetric probe for label-free and visual detection of ochratoxin A. Sensor. Actuat. B Chem. 2024, 408, 135529. [Google Scholar] [CrossRef]
  86. Lin, X.; Fang, Y.; Chen, Q.; Guo, Z.; Chen, X.; Chen, X. Magnetically actuated microfluidic chip combined with a G-quadruplex DNAzyme-based fluorescent/colorimetric sensor for the dual-mode detection of ochratoxin A in wheat. Talanta 2024, 267, 125273. [Google Scholar] [CrossRef] [PubMed]
  87. He, H.; Sun, D.-W.; Pu, H.; Wu, Z. A SERS-fluorescence dual-signal aptasensor for sensitive and robust determination of AFB1 in nut samples based on Apt-Cy5 and MNP@Ag-PEI. Talanta 2023, 253, 123962. [Google Scholar] [CrossRef] [PubMed]
  88. Lin, X.; Li, C.; He, C.; Zhou, Y.; Wang, Z.; Duan, N.; Wu, S. Upconversion Nanoparticles assembled with gold nanourchins as luminescence and surface-enhanced Raman scattering dual-mode aptasensors for detection of ochratoxin A. ACS Appl. Nano Mater. 2021, 4, 8231–8240. [Google Scholar] [CrossRef]
  89. Wang, H.; Zhao, B.; Ye, Y.; Qi, X.; Zhang, Y.; Xia, X.; Wang, X.; Zhou, N. A fluorescence and surface-enhanced Raman scattering dual-mode aptasensor for rapid and sensitive detection of ochratoxin A. Biosens. Bioelectron. 2022, 207, 114164. [Google Scholar] [CrossRef] [PubMed]
  90. Ren, K.; Duan, M.; Su, T.; Ying, D.; Wu, S.; Wang, Z.; Duan, N. A colorimetric and SERS dual-mode aptasensor for the detection of Shiga toxin type II based on Mn/Fe-MIL(53)@AuNSs. Talanta 2024, 270, 125636. [Google Scholar] [CrossRef]
  91. Zhang, X.; Li, Z.; Shi, Y.; Hu, B.; Zheng, Q.; Piao, Y.; Feng, L.; Cao, J. Electrochemical/photoelectrochemical dual-mode aptasensor for sensitive aflatoxin B1 assay based on distance-modulation strategy using Au NPs/PCZIF-8-ZnO as sensing substrate. Food Chem. 2024, 441, 138382. [Google Scholar] [CrossRef] [PubMed]
  92. Liu, S.; Meng, S.; Wang, M.; Li, W.; Dong, N.; Liu, D.; Li, Y.; You, T. In-depth interpretation of aptamer-based sensing on electrode: Dual-mode electrochemical-photoelectrochemical sensor for the ratiometric detection of patulin. Food Chem. 2023, 410, 135450. [Google Scholar] [CrossRef]
  93. Zou, Y.; Xia, T.; Zuo, Y.; Gu, Y.; Zhang, J.; Wei, J.; Qian, J.; Hao, N.; Wang, K. Dual-mode sensing chip for photoelectrochemical and electrochromic visual determination of deoxynivalenol mycotoxin. Microchim. Acta 2023, 190, 466. [Google Scholar] [CrossRef] [PubMed]
  94. Yao, J.; Jin, Z.; Zhao, Y. Electroactive and SERS-active Ag@Cu2O NP-programed aptasensor for dual-mode detection of tetrodotoxin. ACS Appl. Mater. Interfaces 2023, 15, 10240–10249. [Google Scholar] [CrossRef]
  95. Wang, X.; Yang, F.; Deng, C.; Zhang, Y.; Yang, X.; Chen, X.; Huang, Y.; Ye, H.; Zhong, J.; Wang, Z. A dual-mode method based on aptamer recognition and time-resolved fluorescence resonance energy transfer for histamine detection in fish. Molecules 2022, 27, 8711. [Google Scholar] [CrossRef]
  96. Liu, P.; Zhao, M.; Zhu, H.; Zhang, M.; Li, X.; Wang, M.; Liu, B.; Pan, J.; Niu, X. Dual-mode fluorescence and colorimetric detection of pesticides realized by integrating stimulus-responsive luminescence with oxidase-mimetic activity into cerium-based coordination polymer nanoparticles. J. Hazard. Mater. 2022, 423, 127077. [Google Scholar] [CrossRef]
  97. Chen, J.-W.; Liu, X.-P.; Feng, K.-J.; Liang, Y.; Jiang, J.-H.; Shen, G.-L.; Yu, R.-Q. Detection of adenosine using surface-enhanced Raman scattering based on structure-switching signaling aptamer. Biosens. Bioelectron. 2008, 24, 66–71. [Google Scholar] [CrossRef]
  98. He, D.; Wu, Z.; Cui, B.; Xu, E. Aptamer and gold nanorod-based fumonisin B1 assay using both fluorometry and SERS. Microchim. Acta 2020, 187, 215. [Google Scholar] [CrossRef] [PubMed]
  99. Li, M.; Lin, H.; Paidi, S.K.; Mesyngier, N.; Preheim, S.; Barman, I. A fluorescence and surface-enhanced Raman spectroscopic dual-modal aptasensor for sensitive detection of cyanotoxins. ACS Sens. 2020, 5, 1419–1426. [Google Scholar] [CrossRef]
  100. Zhu, X.; Zhang, J.; Liu, J.; Zhang, Y. Recent progress of rare-earth doped upconversion nanoparticles: Synthesis, optimization, and applications. Adv. Sci. 2019, 6, 1901358. [Google Scholar] [CrossRef]
  101. Ma, W.; Fu, P.; Sun, M.; Xu, L.; Kuang, H.; Xu, C. Dual quantification of microRNAs and telomerase in living cells. J. Am. Chem. Soc. 2017, 139, 11752–11759. [Google Scholar] [CrossRef] [PubMed]
  102. Wu, Z.; He, D.; Cui, B.; Jin, Z.; Xu, E.; Yuan, C.; Liu, P.; Fang, Y.; Chai, Q. Trimer-based aptasensor for simultaneous determination of multiple mycotoxins using SERS and fluorimetry. Microchim. Acta 2020, 187, 495. [Google Scholar] [CrossRef] [PubMed]
  103. Zhang, Q.; Fu, Y.; Xiao, K.; Du, C.; Zhang, X.; Chen, J. Sensitive dual-mode biosensors for CYFRA21-1 assay based on the dual-signaling electrochemical ratiometric strategy and “on-off-on” PEC method. Anal. Chem. 2021, 93, 6801–6807. [Google Scholar] [CrossRef] [PubMed]
  104. Xu, M.; Chen, K.; Zhu, L.; Zhang, S.; Wang, M.; He, L.; Zhang, Z.; Du, M. MOF@COF heterostructure hybrid for dual-mode photoelectrochemical-electrochemical HIV-1 DNA sensing. Langmuir 2021, 37, 13479–13492. [Google Scholar] [CrossRef] [PubMed]
  105. Deng, H.; Chai, Y.; Yuan, R.; Yuan, Y. In situ formation of multifunctional DNA nanospheres for a sensitive and accurate dual-mode biosensor for photoelectrochemical and electrochemical assay. Anal. Chem. 2020, 92, 8364–8370. [Google Scholar] [CrossRef] [PubMed]
  106. Rao, P.M.; Cai, L.; Liu, C.; Cho, I.S.; Lee, C.H.; Weisse, J.M.; Yang, P.; Zheng, X. Simultaneously efficient light absorption and charge separation in WO3/BiVO4 core/shell nanowire photoanode for photoelectrochemical water oxidation. Nano Lett. 2014, 14, 1099–1105. [Google Scholar] [CrossRef] [PubMed]
  107. Liu, D.; Meng, S.; Shen, X.; Li, Y.; Yan, X.; You, T. Dual-ratiometric aptasensor for streptomycin detection based on the in-situ coupling of photoelectrochemical and electrochemical assay with a bifunctional probe of methylene blue. Sens. Actuators B Chem. 2021, 332, 129529. [Google Scholar] [CrossRef]
  108. Hao, N.; Dai, Z.; Meng, X.; Hua, R.; Lu, J.; Wang, K. A portable solar-driven ratiometric photo-electrochromic visualization biosensor for detection of ochratoxin A. Sens. Actuators B Chem. 2020, 306, 127594. [Google Scholar] [CrossRef]
  109. Meng, S.; Li, Y.; Dong, N.; Liu, S.; Liu, C.; Gong, Q.; Chen, Z.; Jiang, K.; Li, X.; Liu, D.; et al. Portable visual photoelectrochemical biosensor based on a MgTi2O5/CdSe heterojunction and reversible electrochromic supercapacitor for dual-modal Cry1Ab protein detection. Anal. Chem. 2023, 95, 18224–18232. [Google Scholar] [CrossRef]
  110. Bayramoglu, G.; Ozalp, V.C.; Oztekin, M.; Arica, M.Y. Rapid and label-free detection of brucella melitensis in milk and milk products using an aptasensor. Talanta 2019, 200, 263–271. [Google Scholar] [CrossRef]
  111. Shan, X.; Kuang, D.; Feng, Q.; Wu, M.; Yang, J. A dual-mode ratiometric aptasensor for accurate detection of pathogenic bacteria based on recycling of DNAzyme activation. Food Chem. 2023, 423, 136287. [Google Scholar] [CrossRef] [PubMed]
  112. Jiang, M.; Wang, M.; Song, X.; Lai, W.; Zhao, C.; Li, J.; Wei, Z.; Hong, C. Dual-functional nanomaterials polyo-phenylenediamine and Ru-Au complement each other to construct an electrochemical and electrochemiluminescent dual-mode aptamer sensor for sensitive detection of alternariol. Anal. Chem. 2023, 95, 12459–12469. [Google Scholar] [CrossRef]
  113. Zhu, P.; Asumadu, P.; Zhou, S.; Wang, M.; Liu, C.; Zhang, Q.; Zhong, J.; Guan, H.; Ye, H. Recognition mechanism of split T-2 toxin aptamer coupled with reliable dual-mode detection in peanut and beer. Food Biosci. 2024, 60, 104268. [Google Scholar] [CrossRef]
  114. Cao, H.; Liang, D.; Tang, K.; Sun, Y.; Xu, Y.; Miao, M.; Zhao, Y. SERS and MRS signals engineered dual-mode aptasensor for simultaneous distinguishment of aflatoxin subtypes. J. Hazard. Mater. 2024, 462, 132810. [Google Scholar] [CrossRef]
  115. Goyal, S.; Singh, P.; Sengupta, S.; Muthukrishnan, A.B.; Jayaraman, G. DNA-aptamer-based qPCR using light-up dyes for the detection of nucleic acids. ACS Omega 2023, 8, 47277–47282. [Google Scholar] [CrossRef]
  116. Jiang, Q.; Wu, J.; Yao, K.; Yin, Y.; Gong, M.M.; Yang, C.; Lin, F. Paper-based microfluidic device (DON-chip) for rapid and low-cost deoxynivalenol quantification in food, feed, and feed ingredients. ACS Sens. 2019, 4, 3072–3079. [Google Scholar] [CrossRef] [PubMed]
  117. Epifania, R.; Soares, R.R.G.; Pinto, I.F.; Chu, V.; Conde, J.P. Capillary-driven microfluidic device with integrated nanoporous microbeads for ultrarapid biosensing assays. Sens. Actuators B Chem. 2018, 265, 452–458. [Google Scholar] [CrossRef]
  118. Machado, J.M.D.; Soares, R.R.G.; Chu, V.; Conde, J.P. Multiplexed capillary microfluidic immunoassay with smartphone data acquisition for parallel mycotoxin detection. Biosens. Bioelectron. 2018, 99, 40–46. [Google Scholar] [CrossRef] [PubMed]
  119. Li, T.; Su, Z.; Li, Y.; Xi, L.; Li, G. An aptamer-assisted biological nanopore biosensor for ultra-sensitive detection of ochratoxin A with a portable single-molecule measuring instrument. Talanta 2022, 248, 123619. [Google Scholar] [CrossRef]
  120. Jin, B.; Yang, Y.; He, R.; Park, Y.I.; Lee, A.; Bai, D.; Li, F.; Lu, T.J.; Xu, F.; Lin, M. Lateral flow aptamer assay integrated smartphone-based portable device for simultaneous detection of multiple targets using upconversion nanoparticles. Sens. Actuators B Chem. 2018, 276, 48–56. [Google Scholar] [CrossRef]
  121. Zhang, X.; Zhi, H.; Zhu, M.; Wang, F.; Meng, H.; Feng, L. Electrochemical/visual dual-readout aptasensor for ochratoxin A detection integrated into a miniaturized paper-based analytical device. Biosens. Bioelectron. 2021, 180, 113146. [Google Scholar] [CrossRef] [PubMed]
  122. Chinnappan, R.; Ramadan, Q.; Zourob, M. An integrated lab-on-a-chip platform for pre-concentration and detection of colorectal cancer exosomes using anti-CD63 aptamer as a recognition element. Biosens. Bioelectron. 2023, 220, 114856. [Google Scholar] [CrossRef]
  123. Nandimandalam, M.; Costantini, F.; Lovecchio, N.; Iannascoli, L.; Nascetti, A.; de Cesare, G.; Caputo, D.; Manetti, C. Split aptamers immobilized on polymer brushes integrated in a lab-on-chip system based on an array of amorphous silicon photosensors: A novel sensor assay. Materials 2021, 14, 7210. [Google Scholar] [CrossRef]
  124. Lonchamps, P.-L.; He, Y.; Wang, K.; Lu, X. Detection of pathogens in foods using microfluidic “lab-on-chip”: A mini review. J. Agric. Food Res. 2022, 10, 100430. [Google Scholar] [CrossRef]
Molecules 29 03974 sch001
Scheme 1. Different detection modes of aptamer-based biosensors.
Scheme 1. Different detection modes of aptamer-based biosensors.
Molecules 29 03974 sch001
Molecules 29 03974 g001
Figure 1. (a) AuNP-based CM detection assay format; (b) Sensing mechanism toward STX and TTX based on NMOFs-aptasensor; (c) Sensing process in microtubule (A) and on electrode surface (B); (d) Preparation for SH-cDNA-ADANRs (A) and NH2-apt-CS-Fe3O4 (B), and SERS detection schematic (C).
Figure 1. (a) AuNP-based CM detection assay format; (b) Sensing mechanism toward STX and TTX based on NMOFs-aptasensor; (c) Sensing process in microtubule (A) and on electrode surface (B); (d) Preparation for SH-cDNA-ADANRs (A) and NH2-apt-CS-Fe3O4 (B), and SERS detection schematic (C).
Molecules 29 03974 g001
Molecules 29 03974 g002
Figure 2. (a) Unlabeled CM-FL aptasensor for detection of OTA; (b) The portable CM-FL aptamer sensor device (A) and the detection principle of OTA (B); (c) Fluorometric and CM aptasensor for detection of histamine; (d) CPNs(IV)-based aptasensor for malathion detection.
Figure 2. (a) Unlabeled CM-FL aptasensor for detection of OTA; (b) The portable CM-FL aptamer sensor device (A) and the detection principle of OTA (B); (c) Fluorometric and CM aptasensor for detection of histamine; (d) CPNs(IV)-based aptasensor for malathion detection.
Molecules 29 03974 g002
Molecules 29 03974 g003
Figure 3. (a) Dual-signal output mechanism of SERS-FL aptasensor for determination of AFB1; (b) Working principle of the on-off-type aptasensor; (c) The “turn on” UCL-SERS aptasensor for detection of OTA; (d) Sensing mechanism of trimer-based high-throughput sensors.
Figure 3. (a) Dual-signal output mechanism of SERS-FL aptasensor for determination of AFB1; (b) Working principle of the on-off-type aptasensor; (c) The “turn on” UCL-SERS aptasensor for detection of OTA; (d) Sensing mechanism of trimer-based high-throughput sensors.
Molecules 29 03974 g003
Molecules 29 03974 g004
Figure 4. (a) Working principle of the dual-ratiometric aptasensor based on EC and PEC assays; (b) The detection of AFB1 in EC mode and PEC mode; (c) Priority binding order of the four aptamers with PAT; (d) Mechanism diagram of PEC/visualization dual-mode detection of DON.
Figure 4. (a) Working principle of the dual-ratiometric aptasensor based on EC and PEC assays; (b) The detection of AFB1 in EC mode and PEC mode; (c) Priority binding order of the four aptamers with PAT; (d) Mechanism diagram of PEC/visualization dual-mode detection of DON.
Molecules 29 03974 g004
Molecules 29 03974 g005
Figure 5. (a) ECL-EC aptasensor based on PoPD/Ru-Au for AOH detection; (b) Ag@Cu2O-engineered EC-SERS aptasensor for TTX detection, adapted with permission from Ref. [113]. 2024, Elsevier; (c) The detection of T-2 by the FL-FP split aptasensor; (d) Detection mechanism of three subtypes of AF.
Figure 5. (a) ECL-EC aptasensor based on PoPD/Ru-Au for AOH detection; (b) Ag@Cu2O-engineered EC-SERS aptasensor for TTX detection, adapted with permission from Ref. [113]. 2024, Elsevier; (c) The detection of T-2 by the FL-FP split aptasensor; (d) Detection mechanism of three subtypes of AF.
Molecules 29 03974 g005
Molecules 29 03974 g006
Figure 6. (a) Signal conversion strategy of the portable nanopore biosensor for OTA detection; (b) Portable CL-optical fiber aptasensor for analysis of multiple mycotoxins; (c) Structure and sensing principle of LFAA for simultaneous detection of multiple targets; (d) Scheme of modification (A), cleaning (B) and (C) sensing principle of EC-CM PAD.
Figure 6. (a) Signal conversion strategy of the portable nanopore biosensor for OTA detection; (b) Portable CL-optical fiber aptasensor for analysis of multiple mycotoxins; (c) Structure and sensing principle of LFAA for simultaneous detection of multiple targets; (d) Scheme of modification (A), cleaning (B) and (C) sensing principle of EC-CM PAD.
Molecules 29 03974 g006
Table 1. Summary of single-mode and dual-mode aptasensors for the detection of FBMTs.
Table 1. Summary of single-mode and dual-mode aptasensors for the detection of FBMTs.
MethodAnalyteActual SamplesLinear RangeLODReference
Single-modeCMSEBMilk0.5 ng/mL–50 µg/mL0.5 ng/mL[50]
MC-LRWater0.5 ng/mL–7.5 µg/mL0.37 ng/mL[76]
STXScallop0.044–11.241 ng/mL43 pg/mL[77]
T-2Wheat, corn0.1–5000 ng/mL57.8 pg/mL [78]
OTALiquor0.05–50 ng/mL9 pg/mL[79]
FLTTXShellfish0–0.149 µg/mL0.979 ng/mL[59]
OTA 3.63–40.30 ng/mL3.63 ng/mL[55]
OTA 0–10 ng/mL1.9 ng/mL[80]
T-2Beer0.5–100 ng/mL0.239 ng/mL[81]
ECT-2 2 fg/mL–20 ng/mL0.107 fg/mL[63]
OTAWine0.1–20 ng/mL30 pg/mL[82]
FB1Maize0.072 ng/mL–7.22 µg/mL1.44 pg/mL[83]
SERSPAT 0–70 ng/mL0.038 ng/mL[70]
AFB1Chinese herbs0.01–100 ng/mL0.36 pg/mL[69]
OTAChinese herbs0.001–10 ng/mL0.034 pg/mL[69]
Dual-modeCM-FLOTA 40.38 fg/mL–40.38 pg/mL13.79 fg/mL[84]
OTA 40.38 ng/mL–10.09 µg/mL40.38 ng/mL[85]
OTAWheat0.05–10 μg/kg0.008 μg/kg[86]
SERS-FLAFB1Peanut0.001–1000 ng/mL0.45 pg/mL[87]
OTABeer0.01–100 ng/mL3.2 pg/mL[88]
OTACoffee5–250 pg/mL1.03 pg/mL[89]
SERS-CMSTX2Milk0.05–500 ng/mL26 pg/mL[90]
EC-PECAFB1Peanut, corn0.02 pg/mL–100 ng/mL9.3 fg/mL[91]
PATJuice50 fg/mL–500 ng/mL30 fg/mL[92]
DONBeer1 fg/mL–100 pg/mL0.37 fg/mL[93]
EC-SERSTTXFish100 pg/mL–10 μg/mL31.6 pg/mL[94]
Abbreviations: MC-LR, Microcystin-LR; STX, Saxitoxin; OTA, Ochratoxin A; FB1, Fumonisin B1; AFB1, Aflatoxin B1; STX2, Shiga toxin type II.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Li, Y.; Zhang, D.; Zeng, X.; Liu, C.; Wu, Y.; Fu, C. Advances in Aptamer-Based Biosensors for the Detection of Foodborne Mycotoxins. Molecules 2024, 29, 3974. https://doi.org/10.3390/molecules29163974

AMA Style

Li Y, Zhang D, Zeng X, Liu C, Wu Y, Fu C. Advances in Aptamer-Based Biosensors for the Detection of Foodborne Mycotoxins. Molecules. 2024; 29(16):3974. https://doi.org/10.3390/molecules29163974

Chicago/Turabian Style

Li, Yangyang, Dan Zhang, Xiaoyuan Zeng, Cheng Liu, Yan Wu, and Cuicui Fu. 2024. "Advances in Aptamer-Based Biosensors for the Detection of Foodborne Mycotoxins" Molecules 29, no. 16: 3974. https://doi.org/10.3390/molecules29163974

APA Style

Li, Y., Zhang, D., Zeng, X., Liu, C., Wu, Y., & Fu, C. (2024). Advances in Aptamer-Based Biosensors for the Detection of Foodborne Mycotoxins. Molecules, 29(16), 3974. https://doi.org/10.3390/molecules29163974

Article Metrics

Back to TopTop