| Literature DB >> 33260648 |
Kamonrat Phopin1,2, Tanawut Tantimongcolwat1.
Abstract
Contamination by pesticides in the food chain and the environment is a worldwide problem that needs to be actively monitored to ensure safety. Unfortunately, standard pesticide analysis based on mass spectrometry takes a lot of time, money and effort. Thus, simple, reliable, cost-effective and field applicable methods for pesticide detection have been actively developed. One of the most promising technologies is an aptamer-based biosensor or so-called aptasensor. It utilizes aptamers, short single-stranded DNAs or RNAs, as pesticide recognition elements to integrate with various innovative biosensing technologies for specific and sensitive detection of pesticide residues. Several platforms for aptasensors have been dynamically established, such as colorimetry, fluorometry, electrochemistry, electrochemiluminescence (ECL) and so forth. Each platform has both advantages and disadvantages depending on the purpose of use and readiness of technology. For example, colorimetric-based aptasensors are more affordable than others because of the simplicity of fabrication and resource requirements. Electrochemical-based aptasensors have mainly shown better sensitivity than others with exceedingly low detection limits. This paper critically reviews the progression of pesticide aptasensors throughout the development process, including the selection, characterization and modification of aptamers, the conceptual frameworks of integrating aptamers and biosensors, the ASSURED (affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free and deliverable to end users) criteria of different platforms and the future outlook.Entities:
Keywords: ASSURED; SELEX; aptamers; biosensors; pesticides
Year: 2020 PMID: 33260648 PMCID: PMC7730859 DOI: 10.3390/s20236809
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 1Typical steps of the systematic evolution of ligands by exponential enrichment (SELEX) procedure.
Available aptamer sequences for specific targeted pesticides.
| Pesticide | Group | Selection Approach | Aptamer Sequence |
| Ref. |
|---|---|---|---|---|---|
| Acetamiprid | Insecticide | Immobilization of library on beads via capture probe (Capture-SELEX) | TGTAATTTGTCTGCAGCGATTCTTGATCGCTGACACCATATTATGAAGA | 4.98 µM | [ |
| Aldicarb | Insecticide | N.A. | CCGGTGGGTGGTCAGCACCTGGGGGAGTCCGGATATGGCCCAGCGCATCACCAGTTCGCAAGC | N.A. | [ |
| Atrazine | Herbicide | Immobilization of biotinylated-target on streptavidin-modified magnetic beads | TGTACCGTCTGAGCGATTCGTACGAACGGCTTTGTACTGTTTGCACTGGCGGATTTAGCCAGTCAGTGTTAAGGAGTGC | 0.62 nM | [ |
| Capture-SELEX | TGTACCGTCTGAGCGATTCGTACTTTATTCGGGAAGGGTATCAGCGGGGTTCAACAAGCCAGTCAGTGTTAAGGAGTGC | N.A. | [ | ||
| Truncation of sequence obtained from capture-SELEX | ACCGTCTGAGCGATTCGTACTTTATTCGGGAAGGGTATCAGCGGGG | 3.7 nM | |||
| Capillary electrophoresis-SELEX | CTACGCTAGCTTGTATGCCCATCTGACCTCTGTGCTGCTA | 890 nM | [ | ||
| Bromacil | Herbicide | Immobilization of biotinylated-target on streptavidin-modified magnetic beads | TGTACCGTCTGAGCGATTCGTACTGTGGGCACCAATCGTACCCAATACTTGCGAATCAGCCAGTCAGTGTTAAGGAGTGC | 9.6 nM | [ |
| Carbendazim | Fungicide | Immobilization of target-conjugated BSA on microplate | CGACACAGCGGAGGCCACCCGCCCACCAGCCCCTGCAGCTCCTGTACCTGTGTGTGTG | 60.2 nM | [ |
| GGGCACACAACAACCGATGGTCCAGCCACCCGAATGACCAGCCCACCCGCCACCCCGCG | 65 nM | ||||
| Carbofuran | Insecticide | N.A. | CACCTGGGGGAGTATTGCGGAGGAAAGAGAACACTGGGGCAGATATGGGCCAGCAGGTC | N.A. | [ |
| Chlorpyrifos | Insecticide | Immobilization of biotinylated-target on streptavidin-resin beads | CCTGCCACGCTCCGCAAGCTTAGGGTTACGCCTGCAGCGATTCTTGATCGCGCTGCTGGTAATCCTTCTTTAAGCTTGGCACCCGCATCGT | N.A. | [ |
| Diazinon | Insecticide | N.A. | ATCCGTCACACCTGCTCTAATATAGAGGTATTGCTCTTGGACAAGGTACAGGGATGGTGTTGGCTCCCGTAT | N.A. | [ |
| Computational screening of Bruno’s reported sequences [ | ATCCGTCACACCTGCTCTAATATAGAGGTATTGCTCTTGGACAAGGTACAGGGATGGTGTTGGCTCCCGTAT | 55.51 µM * | [ | ||
| Dichlorvos | Insecticide | GOLD SELEX | GGAAGAACATGTGAGCAAAAGGCCAGCAAAAGGCCAGGAACCGTAAAAAGGCCGCGTTGCTGGCG | 0.85 µM | [ |
| Fipronil | Insecticide | Immobilization of target on magnetic beads via covalent coupling | TGTACCGTCTGAGCGATTCGTACAGTTTCTGGAGGACTGGGCGGGGTGACGGTTATAAGCCAGTCAGTGTTAAGGAGTGC | 48 nM | [ |
| Fluoroacetamide | Rodenticide | Immobilization of target-conjugated BSA on microplate | ACCTGCAGGCGCGAGTTTCAGATCAAAACTTGTCTGGCGT | 1 µM | [ |
| Imidacloprid | Insecticide | GO-SELEX | TGTCGTCTACGGTTTTGGTTGTTGTTTGTTGGTGGGTGTA | −2.86 kcal/mol † | [ |
| GGTGTGTTTGTTGTTGTTCTTGGCTGGTTTTTCTTCCTG | −6.41 kcal/mol † | ||||
| Malathion | Insecticide | Immobilization of target on PharmaLink affinity column | ATCCGTCACACCTGCTCTTATACACAATTGTTTTTCTCTTAACTTCTTGACTGCTGGTGTTGGCTCCCGTAT | N.A. | [ |
| Dual targets: | Insecticide | GO-SELEX | CGTACGGAATTCGCTAGCTAAGGGATTCCTGTAGAAGGAGCAGTCTGGATCCGAGCTCCACGTG | ED = 38 nM | [ |
| IP = 1.67 µM | |||||
| Multiple targets (4OPs): | Insecticide | Capture-SELEX | AAGCTTTTTTGACTGACTGCAGCGATTCTTGATCGCCACGGTCTGGAAAAAGAG | PR = 1.43 µM | [ |
| PF = 1.25 µM | |||||
| IS = 0.9 µM | |||||
| OM = 2 µM | |||||
| AAGCTTGCTTTATAGCCTGCAGCGATTCTTGATCGGAAAAGGCTGAGAGCTACGC | PR = 1.11 µM | ||||
| PF = 1 µM | |||||
| IS = 0.83 µM | |||||
| OM = 2.5 µM | |||||
| In silico design and truncation of above-mentioned sequence | AGCTTGCTGCAGCGATTCTTGATCGCCACAGAGCT | N.A. | [ |
K, dissociation constant; N.A., not available; BSA, bovine serum albumin. * Inhibition constant (K) value determined by computational analysis. † Aptamer sequence was suggested based on predicted Gibbs free energy (ΔG°).
Figure 2Schematic representation of common aptamer library designs and isolation concepts: (A) target immobilization, (B) immobilization-free and (C) library immobilization approaches (III). FP and RP, forward and reverse primer binding regions; RS, random sequence region, with RS1 and RS2 denoting random sequences at locations 1 and 2; DS, a docking sequence used for complementary binding with capture probe.
Figure 3Schematic representation of general concept of nanoparticle-based colorimetric aptasensors for pesticide detection. (A) Color production is realized by salt-induced nanoparticle (NP) aggregation, which can be further extended to a fluorometric system by NP-induced fluorescence quenching. (B) Important role of cationic polymers in triggering NP aggregation in colorimetric pesticide aptasensors.
Colorimetric aptasensors for pesticide detection. (LOD, limit of detection).
| Pesticide | Method | LOD | Linear Range | Sample | Ref. |
|---|---|---|---|---|---|
| Acetamiprid | Colorimetry | 5 nM | 75 nM–7.5 µM | Soil | [ |
| Acetamiprid | Colorimetry | 0.56 nM | 8.7–920 nM | Waste water, soil and cucumber | [ |
| Carbendazim | Colorimetry | 2.2 nM | 2.2–500 nM | Water | [ |
| Chlorpyrifos | Colorimetry | 11.3 ppm | 35–210 ppm | River water | [ |
| Isocarbophos | Colorimetry | 7.1 µg/L | 50–500 µg/L | Chinese cabbage, brassica rape and lettuce leaves | [ |
| Isocarbophos | Colorimetry | 0.015 µg/L | 0.25–1.5 µg/L | Sewage, farm land water and pond water | [ |
| Diazinon | Colorimetry | 17.903 nM | 0.141–0.65 nM | N.A. | [ |
| Malathion | Colorimetry | 0.06 pM | 0.5-1000 pM | Lake water and apple | [ |
| Malathion | Colorimetry | 1.94 pM | 0.01–0.75 nM | Lake water and apple | [ |
| Malathion | Colorimetry | 1:00 pM | 5 pM–10 nM | Spiked human serum | [ |
| Malathion | Colorimetry | 0.5 pM | 0.01 nM–0.75 nM | Lake water, tap water and apple | [ |
| Omethoate | Colorimetry | 0.1 µM | 0.1 µM–10 µM | Soil | [ |
| Phorate | Colorimetry | 0.012 ng/mL | 0–25 µg/mL | Human blood | [ |
| Iprobenfos (IP) and edifenphos (ED) | Colorimetry | 10 nM (IB) and 5 nM (ED) | 10–100 nM (IP), | Paddy and polished rice | [ |
Fluorescence-based aptasensors for pesticide detection.
| Pesticide | Method | LOD | Linear Range | Sample | Ref. |
|---|---|---|---|---|---|
| Acetamiprid | Fluorometry | 3.2 nM | 50 nM–1000 nM | Adulterated tea | [ |
| Carbendazim | Fluorometry | 2.33 nM | 2.33–800 nM | Water | [ |
| Diazinon | Fluorometry | 0.13 nM | 1.05–206 nM | River water, apple and cucumber | [ |
| Edifenphos | Fluorometry | 1.3 × 10−4 mg/L | 0.5–6 µg/mL | Surface water and rice | [ |
| Carbofuran | Fluorometry | 3.8 nM | 5–600 nM | Tap water, cucumber, cabbage, kiwifruit and apple | [ |
| Fipronil | Fluorometry | 105 nM | 5 nM–500 nM | River water | [ |
| Fipronil | Fluorometry | 53.8 ppb | 25–300 ppb | Liquid egg | [ |
| Isocarbophos | Fluorometry | 10 nM | 10–500 nM | Cabbage | [ |
| Isocarbophos | Fluorometry | 0.11 µg/L | 0.25–1.5 µg/L | Sewage, farm land water and pond water | [ |
| Isocarbophos | Phosphorescence | 0.57 µg/L | 5–160 µg/L | Chinese cabbage, brassica rape and lettuce leaves | [ |
| Isocarbophos | Fluorometry | 0.11 µg/L | 0.25–1.5 µg/L | Sewage, farm land water and pond water | [ |
| Malathion | Fluorometry | 4:00 p.m. | 0.01 nM–1 µM | Tap water, lake water, soil and orange juice | [ |
| Profenofos | Fluorometry | 0.21 ng/mL | 0.5–100 ng/mL | Tap water, cabbage and milk | [ |
| Omethoate | Fluorometry | 0.041 µM and | 0.1–17 nM and | Cabbage and river water | [ |
| 0.029 pM by unpolarized and polarized fluorometry | 0.1 pM–1 µM by unpolarized and polarized fluorometry | ||||
| Isocarbophos (IS) and profenofos (PF) | Fluorometry | 11.4 µM (IS) and 14 µM (PF) | 50–500 µM | Water | [ |
| Trichorfon (TC), glyphosate (GP) and malathion (ML) | Fluorometry | 72.20 ng/L (TC), 88.80 ng/L (GP) and 195.37 ng/L (ML) | 0.1 µg/L–10 mg/L | Lettuce and carrot | [ |
| Chlorpyrifos (CP), diazinon (DA) and malathion (ML) | Fluorometric-lateral flow strip | 0.73 ng/mL (CP), 6.7 ng/mL (DA) and 0.74 ng/mL (ML) | 1–5 ng/mL (CP), 2–4 ng/mL (DA), and 1–3 ng/mL (ML) | Maize, long bean, cauliflower, eggplant, oyster mushroom, shiitake mush-room, apple, orange, tomato, blueberry, spinach, lettuce and cabbage | [ |
| 4OPs | Fluorometry | LOQ values are 19.2 nM (PR), 13.4 nM (PF), 17.2 nM (IS) and 23.4 nM (OM) | 0.01–10 mg/kg | Cabbage | [ |
| 4OPs | Fluorometry | 0.384 µM (PR), 0.134 µM (PF), 0.035 µM (IS) and 2.35 µM (OM) | 0.268–26.8 µM (PF) and 0.346–34.6 µM (IS); no obvious relationship for PR and OM. | Dried tangerine peel | [ |
Figure 4Schematic representation of fluorometric aptasensors for pesticide detection. (A) Fluorescence quenching and aptamer binding properties of graphene oxide and related carbon nanomaterials. (B) Fluorescent aptasensors using complementary probes: dual-labelled (I) and single-labelled (II) fluorescent probe.
Figure 5Schematic depiction of working principle of fluorescent pesticide aptasensors based on solid-phase immobilization.
Electrochemical aptasensors for pesticide detection.
| Pesticide | Method | LOD | Linear Range | Sample | Ref. |
|---|---|---|---|---|---|
| Acetamiprid | Voltammetry | 71.2 fM | 0.1 pM–0.1 µM | Tea | [ |
| Acetamiprid | Voltammetry | 0.3 pM | 1 pM–1 µM | Lettuce and rape | [ |
| Acetamiprid | Voltammetry | 0.077 pM | 0.1 pM–10 nM | Lettuce, cabbage and spinach | [ |
| Aldicarb | Voltammetry | 0.1 pM | 0.25–250 pM | Lake and river water | [ |
| Carbofuran | Voltammetry | 67 pM | 0.2–50 nM | Chinese cabbage, chili, lettuce, tomato, apple, banana, tangerine and watermelon | [ |
| Carbofuran | Voltammetry | 0.033 ng/mL | 0.1 ng/mL–100 µg/mL | Cabbage, lettuce, leek and pakchoi | [ |
| Carbofuran | Voltammetry | 70 pg/mL | 0.1–150 ng/mL | Apple, celery and cabbage | [ |
| Carbofuran | Voltammetry | 0.35 fM | 1 fM–0.4 pM | Apple and lettuce | [ |
| Carbofuran | Voltammetry | 0.33 ng/mL | 1 ng/mL–100 µg/mL | Lettuce, leek and pakchoi | [ |
| Diazinon | Voltammetry | 0.0169 nM | 0.1–1000 nM | Plasma of Wistar rat | [ |
| Diazinon | Voltammetry | 0.11 fM (DPV) and 2 fM (EIS) | 0.5 fM–10 nM (DPV) | Human serum, river water, soil, apple and lettuce | [ |
| and EIS | 0.1 fM–10 nM (EIS) | ||||
| Malathion | Voltammetry | 0.001 ng/mL | 0.001–10 ng/mL | Lettuce and soil | [ |
| Malathion | Voltammetry | 0.5 ng/mL | 0.5–600 ng/mL | Cauliflower and cabbage | [ |
| Malathion | Voltammetry | 0.5 fM | 0.1 fM–0.1 µM | Lettuce | [ |
| Profenofos | Voltammetry | 0.01 ng/mL | 0 to 6.5 ng/mL | Rape | [ |
| Profenofos | Voltammetry | 0.27 µM | 0.1–10 µM | Pear juice | [ |
| Profenofos | Voltammetry | 0.052 ng/mL | 0.1 ng/mL–100 µg/mL | Spinach, lettuce and cabbage | [ |
| 4OPs | Voltammetry | 0.003 nM (PF), | 1–1000 nM (PR), | Rape and spinach | [ |
| 4OPs | Voltammetry | 0.1 nM (PR), | 0.01–1,000 nM (PF), | Rape, cabbage, spinach and baby cabbage | [ |
| 4OPs | Refreshable voltammetry | N.A. | Qualitative detection above 1 µM | Baby cabbage | [ |
| Acetamiprid | EIS | 6:00 pM | 40 pM–1 µM | N.A. | [ |
| Acetamiprid | EIS | 1:00 pM | 10 pM–100 nM | Water | [ |
| Aldicarb | EIS | 10:00 pM | 100 pM–1 µM | Water | [ |
| Aldicarb | EIS | 40 pM | 0.6 nM–1 µM | N.A. | [ |
| Carbendazim | EIS | 8.2 pg/mL | 10 pg/mL–10 ng/mL | Mango juice, soya milk, tomato and plum | [ |
| Carbendazim | EIS | 0.5 pg/mL | 1–1000 pg/mL | Lettuce and orange juice | [ |
| 4OPs | Capacitance | 0.24 fM (PR), | 3.84 fM–3.84 nM (PR), | Lettuce | [ |
Figure 6Schematic representation of redox probe-based pesticide detection. (A) Labeling strategies in electrochemical pesticide aptasensors: redox probe-labeled hairpin-structure aptamer (I), redox probe labelled-aptamer bystander on capture sequence (II) and aptamer bystander on redox probe-labeled capture sequence (III). (B) Noncovalent incorporation of redox probe in electrochemical pesticide aptasensors: intercalation (I) and in situ incorporation of probe with sensing interface (II). (Adapted by permission from Springer Nature Customer Service Centre GmbH: Springer Nature [140], copyright 2020.).
Miscellaneous approaches with aptasensors for detection of pesticides.
| Pesticide | Method | LOD | Linear Range | Sample | Ref. |
|---|---|---|---|---|---|
| Aldicarb | ECL | 9.6 pM | 40 pM–4 nM | Turnip, cabbage, potato, banana, celery and irrigation water | [ |
| Carbofuran | ECL | 0.88 pM | 20 pM–8 nM | Cowpea, cabbage, chili, tomato, lettuce, banana, celery, carrot, capsicum and apple | [ |
| Edifenphos | ECL | 1.667 ng/L | 5 ng/L–10 µg/L | Rice | [ |
| Malathion | SERS | 3.3 µg/mL | 3.3–33.3 µg/mL | N.A. | [ |
| Malathion | SERS | N.A. | 0.5–10 µM | Tap water | [ |
| 4OPs | SERS | 0.4 µM (PR), | 0–3.8 mM (PR): not available for other pesticides | Apple juice | [ |
| Acetamiprid | Resonance Light Scattering (RLS) | 1.2 nM | 0–100 nM | Lake water | [ |
| Acetamiprid | Sample extraction in ion mobility spectrometry | 1.8 ng/mL | 5–300 ng/ml | Wastewater, tomato and cucumber | [ |
| Omethoate | Ionic current measurement | 4.8 nM (in solution) and 100 ppb (in vapor) | N.A. | N.A. | [ |
| Profenofos | Microcantilever | 1.3 ng/mL | 5–1000 ng/mL | Chinese chive | [ |
| 4OPs | Fluorometric-capillary electrophoresis (CE) | 0.20 µM (PR), | 0.6–10 µM (PR), | Apple | [ |
Figure 7Ionic current-based aptasensors (I) (adapted with permission from Reference [147], copyright 2017 Royal Society of Chemistry) and microcantilever-based aptasensors (II) (adapted with permission from Reference [148] copyright 2018 Elsevier) for pesticide detection.
Achievement of ASSURED criteria of current pesticide aptasensors represented by three-scale rating. More plus signs (+) means higher degree of alignment with the criteria.
| ASSURED | Sensing Principle | |||||
|---|---|---|---|---|---|---|
| Colorimetry | Fluorometry | Electrochemistry | ECL | SERS | Others | |
| Affordable | +++ | ++ | ++ | + | + | + |
| Sensitive | ++ | ++ | +++ | ++ | + | + |
| Specific | +++ | +++ | +++ | +++ | +++ | +++ |
| User-friendly | ++ | ++ | ++ | ++ | + | + |
| Rapid and robust | ++ | ++ | +++ | ++ | ++ | + |
| Equipment-free | +++ | ++ | + | + | + | + |
| Deliverable to end user | + | + | + | + | + | + |