
Journal of Advanced Research 37 (2022) 61–74
Enzyme inhibition methods based on Au nanomaterials for rapid detection of organophosphorus pesticides in agricultural and environmental samples: A review
Rongqi Zhai a, Ge Chen a,⇑, Guangyang Liu a, Xiaodong Huang a, XiaoMin Xu a, Lingyun Li a, Yanguo Zhang a,
Jing Wang b, Maojun Jin b, Donghui Xu a,⇑, A.M. Abd El-Aty c,d,e
a Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing, 100081, PR China
b Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences; Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture and Rural Affairs of China, Beijing 100081, PR China
c State Key Laboratory of Biobased Material and Green Papermaking, College of Food Science and Engineering, Qilu University of Technology, Shandong Academy of Science,
Jinan 250353, China
d Department of Pharmacology, Faculty of Veterinary Medicine, Cairo University, 12211 Giza, Egypt
e Department of Medical Pharmacology, Faculty of Medicine, Atatürk University, Erzurum, Turkey
h i g h l i g h t s
●The review systematically and completely collated the enzyme inhibition method based on Au nanomaterials for organophosphorus
pesticide detection method in the last 20 years.
●The significance of the optical properties of Au nanomaterials is outlined with different shapes, sizes, and surface modifiers in enzyme
inhibition methods.
●The principles, classification and application of enzyme inhibition methods based on Au nanomaterials are comprehensively summarized
from a new perspective in agricultural and environmental samples, including colorimetric method, fluorometric method, electrochemical biosensor method.
●Unlike traditional enzyme inhibition
method, the merits of enzyme inhibition method based on Au nanomaterials were elaborated in this review.
●Combined with the research progress of enzyme inhibition method, this review predicts the future research direction of enzyme inhibition
method, providing a theoretical reference for researchers.
g r a p h i c a l a b s t r a c t
Peer review under responsibility of Cairo University.
* Corresponding authors.
E-mail addresses: [email protected] (G. Chen), [email protected] (D. Xu), [email protected] (A.M. Abd El-Aty).
https://doi.org/10.1016/j.jare.2021.08.008
2090-1232/© 2022 The Authors. Published by Elsevier B.V. on behalf of Cairo University.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
a r t i c l e
i n f o
a b s t r a c t
Article history:
Received 27 June 2021
Revised 7 August 2021
Accepted 12 August 2021
Available online 16 August 2021
Keywords:
Organophosphorus pesticides Enzyme inhibition
Au nanomaterials Rapid detection
Background: Organophosphorus pesticides (OPs), as insecticides or acaricides, are widely used in agricul- tural products to ensure agricultural production. However, widespread use of OPs leads to environmental contamination and significant negative consequences on biodiversity, food security, and water resources. Therefore, developing a sensitive and rapid method to determine OPs residues in different matrices is necessary. Originally, the enzyme inhibition methods are often used as preliminary screens of OPs in crops. Many studies on the characteristic of Au nanomaterials have constantly been emerging in the past decade. Combined with anisotropic Au nanomaterials, enzyme inhibition methods have the advantages of high sensitivity, durability, and high stability.
Aim of Review: This review aims to summarize the principles and strategies of gold (Au) nanomaterials in enzyme inhibition methods, including colorimetric (dispersion, particle size of Au nanomaterials) and fluorometric (fluorescence energy transfer, internal filtration effect) detection, and electrochemical sens- ing system (shape of Au nanomaterials, Au nanomaterials combined with other nanomaterials). The application of enzyme inhibition in agricultural products and research progress was also outlined. Next, this review illustrates the advantages of Au nanomaterial-based enzyme inhibition methods com- pared with conventional enzyme inhibition methods. The detection limits and linear range of colorimet- ric and fluorometric detection and electrochemical biosensors have also been provided. At last, key perspectives, trends, gaps, and future research directions are proposed.
Key Scientific Concepts of Review: Herein, we introduced the technology of enzyme inhibition method based on Au nanomaterials for onsite and infield rapid detection of organophosphorus pesticide.
© 2022 The Authors. Published by Elsevier B.V. on behalf of Cairo University. This is an open access article
under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Introduction
Organophosphorus pesticides (OPs) are widely used in agricul- tural production; however, they may pose health hazards [1]. Many countries have banned the use of methamidophos, para- thion, methyl parathion, monocrotophos, and other highly toxic OPs [2] to protect vulnerable population groups from the negative impacts of chemicals. Some OPs are poorly soluble and tend to get adsorbed onto soil particles and enter water bodies [3]. OPs inhibit acetylcholinesterase irreversibly by preventing the breakdown of acetylcholine during nerve impulse transmission in the central nervous system of mammals and insects. Mammals and insects in a continuous state of neuronal excitation produce a range of toxic symptoms, including decreased heart rate, pinpoint eye pupils, and seizures. Respiratory failure (RF) is the major cause of the high morbidity and mortality from OPs poisoning [4]. In this regard, the development of rapid, simple, and reliable screening methods for detecting OPs is warranted for food and agricultural products and human health [5,6].
Methods for detecting OPs, include gas chromatography (GC) [7], high-performance liquid chromatography (HPLC) [8], mass spectrometry (MS) [9], gas chromatography-mass spectrometry (GC–MS) [10], and liquid chromatography-mass spectrometry (LC-MS) [11]. These methods are sensitive to trace levels; however, they are time-consuming, tedious, laborious, require expensive instruments, and restricted experimental conditions. Therefore, rapid detection of OPs has become a topic of particular research interest; and the number of annual publications containing the term ‘rapid detection of OPs has increased five times over the past 20 years (Fig. 1).
So far, the main techniques used for rapid detection of OPs
include immunoassay, high-performance thin-layer chromatogra- phy (HPTLC), and enzyme inhibition assay. HPTLC is a simple and inexpensive technique that requires only a small amount of sta- tionary phase, mobile phase, and chromogenic reagents to detect OPs rapidly [12]. HPTLC could qualitatively analyze and quantita- tively detect OPs by visulatization and UV techque or fluorometric techque, respectively [13]. Although HPTLC can achieve rapid
Fig. 1. The progress of rapid detection of OPs (Data from the Web of Science with keywords of ‘rapid detection” and ‘‘organophosphorus pesticides”).
quantitative detection, it lacks the specificity to identify a class of OPs compared with enzyme inhibition and immunoassays. Immunosorbent assays mainly rely on specific recognition of anti- gen and antibody to detect the target analyte. Although immunoassays are sensitive and specific, the method requires the preparation of antibodies with high affinity. In contrast, enzyme inhibition methods do not involve a complex preparation process and can directly use natural enzymes for detecting OPs [14].
Enzyme inhibition-based colorimetric and fluorometric meth- ods indirectly detect OP residues through colorimetric or fluoro- metric signals. Notably, some chemical reagents are still used for enzyme inhibition methods, leading to low sensitivity and false- positive results [15]. Noble metal nanomaterials, such as Au nanoparticles (NPs), display different colors in aggregation and dis- persion states, are used in combination with enzyme inhibition. Products of acetylcholine can induce AuNPs from aggregation to dispersion to produce color changes, thus overcoming the disad- vantages of low sensitivity and false positives to some extent. Sim- ilarly, biosensor methods are based on enzyme inhibition and metal NPs. The transducer is a key element in a biosensor, generat- ing either optical or electrical signals proportional to the number of analytes–bioreceptor interactions [16,17]. Biosensors have the merits of high sensitivity, short response time, simple-to-operate, and good selectivity.
Herein, we focused on enzyme inhibition methods, including
colorimetric, fluorometric, and biosensor detection based on Au nanomaterials for rapidly detecting OPs over the past decades. Details on the classification, principles, and other properties of these enzyme inhibition methods based on Au nanomaterials have been addressed, as shown in Fig. 2. We comprehensively reviewed the development of enzyme inhibition methods based on Au (Fig. 3) and the classification of enzyme inhibition methods (Fig. 4).
The principles of enzyme inhibition methods based on Au nanomaterials
Enzyme inhibition methods involve quantifying the degree to which AChE reduces the generation of thiocholine to detect the
OPs residual levels. These methods are typically colorimetric, fluo- rometric, or biosensing (Fig. 4). George Ellman first proposed col- orimetric detection for measuring AChE activity in biological tissues in 1960. Acetylthiocholine was hydrolyzed and generate thiocholine, which then reacts with dithiodinitrobenzoic acid ions. The intensity of the yellow color measures the rate of enzyme activity. OPs can reduce the production of thiocholine, thus yield- ing a light yellow color for a qualitative analysis [19]. Other natural enzymes used for enzyme inhibition assays, include butyryl- cholinesterase, carboxylesterase, alkaline phosphatase (ALP), and tyrosinase. OPs can inhibit these enzymes, and residues can be detected by measuring the capacity of the enzyme to hydrolyze. Some synthetic enzymes have also been proposed for inhibition assays [14].
Metal NPs are materials with at least one dimension in the
three-dimensional space in the range of 1–100 nm [24]. Metal nanomaterials have unique electrical, optical, and thermal proper- ties and a high specific surface area used to immobilize various biomolecules to enhance the signal of bioenzyme sensors [25,26]. AuNPs were the first metallic nanomaterials used in analytical assays as they are relatively simple to prepare, stable, and biocom- patible [27,28]. Au provides a large surface area for contact with target reactants, which improves the reaction efficiency. It can also react with some compounds or moieties [29,30].
Au nanomaterials have good optical properties, red in the well- dispersed state, and turn blue after aggregation. This property can be directly applied in the enzyme inhibition method based on col- orimetric detection of OPs. Further, the surface of Au nanomateri- als is easily modified, and the sensitivity of its colorimetric detection method can be improved using chemical functional groups. The colorimetric detection method was based on the prin- ciple of local surface plasmon resonance of Au nanomaterials. According to the aspect ratios of Au nanomaterials, the colorimet- ric analysis can be used to measure the color difference. The Au nanomaterials have good fluorometric properties and can be quenched using quenched fluorescent substrates with wide absorption peaks to achieve the purpose of detecting Ops.
Au nanomaterials have a large specific surface area in the
biosensing system, which provides more sites for the enzyme in
Fig. 2. Schematic illustration of enzyme inhibition methods is highlighted in this review.
Fig. 3. A brief timeline of enzyme inhibition methods for rapid detection of OPs [18–23].
Fig. 4. Methods for rapid detection of OPs.
the surface attachment. Au nanomaterials have an excellent elec- trical conductivity that can improve the sensitivity of the detection.
Classification and application of enzyme inhibition methods based on Au nanomaterials
Colorimetric detection Dispersion of Au nanomaterials
Generally, AuNPs are red solutions in the dispersed state and
can be aggregated to a blue solution under the induction of thio- choline. Sun and colleagues established a label-free colorimetric method in which AuNPs modified with lipoic acid was induced by thiocholine and changed from red to blue when aggregated [31]. The limit of detection (LOD) was 4.52 104 pmol/L for para- oxon. The method was applied to quantify the residues in apple juice with a LOD as low as 1 pmol/L. Similarly, Li and co-workers used citrate-modified AuNPs as probes to detect methamidophos; AuNPs’ color changed from red to purple or gray [32]. Under opti- mal conditions, AuNPs’ maximum absorbance at 522 nm exhibited linearity over the range of 0.02–1.42 mg/L with a LOD of 1.40 ng/ mL. Although citrate is the most popular reducing agent for syn- thesizing Au nanomaterials, it is susceptible to environmentally induced aggregation; in turn, it is not considered a good choice [33]. In this context, Bala et al. used a colorimetric method to detect ethyl parathion using cysteine-modified AuNPs, where AChE hydrolyzes acetylthiocholine to thiocholine, leading to the aggre- gation of AuNPs and changing the solution from red to blue (Fig. 5a). The method is highly sensitive, with an observable LOD of 0.081 mg/L. The LOD using cit-AuNPs is 3 orders of magnitude lower than the LOD using cys-AuNPs [34].
The reaction of either cysteine or citrate-modified AuNPs with thiocholine leads to the aggregation of AuNPs. Hydrolysis of acetylthiocholine by AChE generates thiocholine-containing SH groups. Due to electrostatic interaction and strong Au-S interac-
tion, AuNPs can be aggregated and eventually change color [35– 37].
The methods mentioned above rely on the aggregation of AuNPs to detect OPs, and a high concentration of pesticides was generally required to induce particle aggregation and generate a signal [38]. To overcome this challenge, Fu and colleagues introduced click chemistry into the reaction to achieve intermediate colorimetric signal amplification between the AChE-acetamido thiocholine sys- tem and the probe [39]. The team used copper functionalized with azide terminal alkyne groups to establish a rapid colorimetric method to determine OPs. In the presence of the reducing agent, sodium ascorbate, the acetic acid generated by the AChE- acetamido thiocholine system excites copper oxide NPs to release the reducing agent required as a catalyst for the cycloaddition between the azide and terminal alkyne groups on the AuNP sur- face. Copper-mediated signal amplification ensures that even a small change in copper ions would greatly affect the efficiency of the reaction and resultant color (Fig. 5b).
The particle size of Au
Colorimetric detection of OPs was based on the dispersion state of Au nanomaterials, which is determined by the reaction of enzy- matic products with Au nanomaterials. However, particle aggrega- tion is not highly specific and is affected by salt concentration. Most importantly, the suspensions of these aggregates were unsta- ble in solution and their color changes over time [40], precluding an accurate detection of the target. To reduce the effects of salt concentration and aggregate instability on Au, Wu and co- workers developed a simple and sensitive colorimetric method using Au3+ and cetyl trimethyl ammonium bromide solutions to dissolve AuNPs [41]. In the absence of OPs, thiocholine reduced Au3+ and protected the Au3+-cetyl trimethyl ammonium bromide complex from solubilizing AuNPs. However, in the presence of OPs, AChE cannot produce thiocholine or produce only small quan- tities, yielding residual Au3+-solubilized AuNPs instead and chang- ing the color of the solution from red to light pink to transparent.
Fig. 5. (a) OPs detection using enzyme inhibition and Au nanoparticles. (b) Highly sensitive colorimetric detection of OPs using copper (Cu)-catalyzed click chemistry. Adapted with permission from Ref. [39]. (c) AuNP dissolution-based colorimetric method for highly sensitive detection of OPs. Adapted with permission from Ref. [41]. (d) Thiol-inhibited iodine (I2) etching of Au nanorods (AuNRs) to detect OPs. Adapted with permission from Ref. [43].
Under optimal conditions, the minimum colorimetric concentra- tion observed was 0.7 mg/L, substantially improving detection sen- sitivity (Fig. 5c).
Further, Wu and colleagues adapted a semi-quantitative colori- metric method based on Au nanorods’ localized surface plasmon excitonic resonance. In the presence of AChE, cetyl trimethyl ammonium bromide can form complexes with Au3+ to adjust the aspect ratio of the nanorods, resulting in a color change from brown to green, gray, purple, cyan, blue, red, and transparent. The method has a LOD of 1.2 mg/L for parathion [42]. To improve the sensitivity of the colorimetric detection, Qing et al. used the same method to change the aspect ratio of Au nanorods through inhibition of iodine etching on the nanorods by the sulfhydryl group on thiocholine and tested the method with triazophos [43]. Under optimum conditions, the linear range was between 0 and 117 nmol/L (R2 = 0.9908) with a LOD of 4.69 nmol/L for tria- zophos (Fig. 5d).
Other methods
Liao and co-workers developed a method of enzyme inhibition based on AuNPs for detecting OPs [44]. Thiocholine reduces AuCl4— in solution to generate AuNPs, which are large enough to break the orientation and arrangement of the molecules in liquid crystal, thus enhancing the optical signal. The sensitivity of the method
was 0.3 nmol/L. The catalytic product of ALP in a silver (Ag) solu- tion can reduce Ag to Ag monomers attached to the surface of AuNPs, detected by colorimetric or spectrophotometric methods [45]. ALP, one of the substrate enzymes of the enzyme inhibition method, catalyzes the generation of pamiphenol (p-AP) from the substrate, which reduces Ag (I) ions to metallic Ag on the surface of Au forming Au@Ag nanoparticles. As the Ag shell thickens, the color of the colloidal solution changes from red to yellow to gray. Under optimum conditions, the absorbance of Au@Ag nanoparti- cles at 370 nm was linearly correlated with the concentration of methamidophos in the range of 0.05–500 mg/L with a LOD of
0.025 mg/L.
Fluorometric detection
Fluorometric detection is more sensitive than colorimetric one, has a lower detection limit, is less affected by the matrix, and the fluorescent material is stable over time [14]. Many substances (flu- orescent substrates, organic fluorescent dyes, quantum dots, car- bon dots, and metallic nanomaterials) are used as probes with low background noise, high sensitivity, and selectivity [46]. For example, as a common organic fluorescent dye, rhodamine B has been widely used for the fluorescence detection of OPs, owing to its good water solubility, light stability, and strong fluorescence properties [47]. In addition, indophenol acetate has no fluores- cence effect; however, its hydrolyzed product has a fluorescence effect for the indirect detection of organophosphorus pesticides. Fluorescence emitted by fluorescent substances can be quenched by Au nanoparticles, thus enabling fluorometric detection. The fol- lowing is a classification of fluorometric detection from the per- spective of the fluorescence quenching mechanism.
Fluorescence resonance energy transfer (FRET)
A fluorescence resonance transfer system typically includes a fluorescent probe and a nanoquencher [48]. FRET induces fluores- cence quenching when the quencher absorption band overlaps with the emission band of the fluorescent probe. AuNPs have large extinction coefficients and wide absorption bands that overlap with the light emitted from fluorescent probes, making them ideal nanoquenchers for FRET applications [49].
Rhodamine B is easily adsorbed to the surface of NPs through electrostatic interaction. In this context, Liu and colleagues used
rhodamine B-modified Au to detect OPs by colorimetric and fluo- rescent double-reading methods [50]. The solution changed from red to purple under the action of thiocholine because thiocholine was strongly adsorbed onto AuNP surfaces than rhodamine B. Elec- trostatic interaction between thiocholine and AuNPs caused the aggregation of AuNPs, thereby changing the color of the solution. The lowest detectable diazinon, malathion, and phosphate concen- trations were 0.1, 0.3, and 1 mg/L, respectively. Further, Wu and co- workers used carbon quantum dots as they have the advantages of low toxicity, easy synthesis, and do not require near-infrared light [51]. Butyrylcholinesterase catalyzes acetylcholine’s hydrolysis to choline, which causes the aggregation of AuNPs and the recovery of the fluorescence of carbon quantum dots. The method could detect paraoxon at a concentration less than 0.05 mg/L.
Lanthanide-doped up-conversion nanoparticles (UCNPs) can emit intense visible light under near-infrared excitation (typically 980 nm) [52]. Unlike conventional fluorescent probes, they have unique optical and chemical properties, strong tissue penetration, high resistance to photobleaching, and low cytotoxicity [53]. The first application of UCNPs to enzyme inhibition-based fluorescence analysis with AuNPs and FRET used the UCNPs as donors and AuNPs as acceptors [54]. OPs inhibit the production of thiocholine, leading to a fluorescence burst of AuNPs on UCNPs by electrostatic adsorption. In the absence of OPs, the electrostatic gravitational force between thiocholine and AuNPs disintegrates the AuNP/ UCNP assemblies and disperses AuNPs. The detection limit of this method for parathion was 0.67 ng/L (Fig. 6a).
Kamelipour and colleagues used organophosphorus hydrolase
(OPH) to design a fluorometric method, whereby AuNPs were cova- lently bound to organophosphorus hydrolase, and coumarin 1was added as a competitive inhibitor [55]. AuNPs quench the fluores- cence of coumarin 1 in the presence of FRET. In the presence of paraoxon, coumarin 1 dissociates from the complex, leading to enhanced fluorescence. The linear range of the methods ranged from 50 to 1050 nmol/L (R2 = 0.9908), and the LOD was
5 × 10—11 mol/L (as shown in Fig. 6b).
Inner filter effect (IFE)
A fluorescence probe based on primary IFE is an effective strat- egy in fluorescence spectroscopy [56,57]. Unlike FRET, IFE does not require intermolecular interactions, thereby enhancing fluoromet- ric detection sensitivity [58]. Au has a high extinction coefficient in the ultraviolet–visible region and a broad absorption band in visi- ble light. The optical properties of AuNPs render them effective absorbers in IFE systems [59].
On this occasion, Xie et al. used graphitized carbon nitride as a fluorescent probe for IFE and combined it with Au to achieve a dual-signal detection for OPs [60]. In the AChE-acetylthiocholine system without pesticides, the generated thiocholine caused aggregation of AuNPs to change the color from red to blue and restore the fluorescence of graphitic carbon nitride. The presence of OPs prevents Au aggregation and produces a fluorescence burst.
The detection limit of this method was 6.9 10—12 M for chlorpyri-
fos. Further, Guo and colleagues developed a rapid detection method for methamidophos using the IFE of Au on cadmium tel- luride quantum dots, with a detection limit of 2 mg/kg [61] (Fig. 6c). Additionally, Cai et al. immobilized Au nanoclusters (NCs) on the surface of silicon dioxide particles by electrostatic adsorption, and the aggregated AuNCs emit strong fluorescence. Since the exci- tation spectra of AuNCs overlap with the absorption peaks of man- ganese dioxide nanosheets, the team added manganese dioxide to the nanocomposite to achieve a fluorescence burst based on the IFE [62]. In the presence of ALP, the decomposition product of sodium 1-ascorbyl-2-phosphate, ascorbic acid, can decompose manganese dioxide and recover the fluorescence. OPs inhibit the activity of
ALP, and the method had a LOD of 0.09 mg/L (Fig. 6d).
Fig. 6. (a) Fluorescence resonance energy transfer between AuNPs and fluorescent substances. (b) Mechanism of action of coumarin 1 and AuNPs using fluorescent probes in enzyme inhibition. (c) Schematic illustration of rapid analysis of OPs using enzyme inhibition and IFE of AuNPs on the fluorescence of cadmium telluride (CdTe) quantum dots or graphitized carbon nitride (g-C3N4). (d) Schematic illustration of rapid analysis of OPs using enzyme inhibition and IFE of AuNCs on the fluorescence of manganese dioxide (MnO2). Adapted with permission from Ref. [60]. (e) AChE mutants on the surface of yeast cells to detect paraoxon. Aggregation of AuNCs quenched the fluorescence. Adapted with permission from Ref. [63].
Other methods
The previous methods modulate fluorescent probes or analyti- cal strategies to improve the sensitivity of OPs detection. In this context, Liang and Han mutated AChE in yeast cells and combined the AChE mutant with protein-directed negative fluorescent AuNCs for fluorescence detection of parathion. The LOD of the method was
3.33 10—14 mol/L, which is much lower than other methods [63]
(Fig. 6e). Further, Sharma and colleagues used bimetallic nanoclus- ters of Au and Ag capped with bovine serum albumin to bind cop- per and cause a fluorescence burst for detecting ethyl parathion [64]. In the AChE-acetylthiocholine reaction system, choline gener- ated from the reaction between AChE and acetylcholine competes with copper, leading to strong fluorescence. Sensitive detection of ethyl parathion using BSA@AuAgNCs was achieved with a LOD value up to 2.40 pmol/L.
As shown in Table 1, this review summarizes the application of the colorimetric and fluorescence detection of OPs using enzyme inhibition methods based on Au nanomaterials.
Electrochemical biosensors
Electrochemical biosensors convert the signal generated by the chemical reaction into a measurable electrical signal to achieve specificity, reliability, and repeatability [6,66]. Nanomaterials exhi- bit excellent electron transfer capability, which enhances the elec- trocatalytic ability of the sensor and accelerates its operating rate [24]. AuNPs can be synthesized as a stable nanomaterial-based
sensor and have good quantum size effect, catalytic properties, and biocompatibility [67].
Au nanomaterials
Enzyme biosensors generally immobilize enzymes directly onto the electrode surface. In this context, Albareda-Sirvent and col- leagues immobilized AChE directly onto the surface of a copper wire linked carbon paste electrode to detect parathion with a LOD (0.1 nmol/L) [68]. This detector suffers from weak enzyme immobilization and rapid enzyme inactivation. To resolve these defects, Grace et al. electrochemically deposited AuNPs, which in turn can covalently immobilize AChE on a screen-printed carbon electrode to detect OPs with a LOD of 0.6 mg/L [69].
Apart from electrostatically driven adsorption onto the elec-
trode surface, Au can facilitate the transfer of electrons. On this occasion, Du et al. used multi-walled carbon nanotube-coated Au in the sensor, and the composite hydrophilicity could facilitate AChE binding. The electrical conductivity of AuNPs improved the sensitivity of detection, with a LOD of 0.6 ng/mL for malathion [70]. The team developed another biosensor based on AchE that was assembled with AuNPs using a sol–gel-derived silicate net- work. AuNPs improved the electrochemical response by covalently immobilizing AChE at a lower potential, enabling sensitive detec- tion of OPs. The large number of hydrogen bonds formed between the matrix material and AChE ensures stable bioactivity. The matrix material provides a biocompatible microenvironment and prevents leakage of AChE from the interface [71] (Fig. 7a).
Table 1
The colorimetric and fluorescence detection of OPs using enzyme inhibition methods based on Au nanomaterials.
L
water; apple juice
* LOD: Limit of detection, LA: lipoic acid, Cys: cysteine, CdTe: cadmium telluride, g-C3N4: graphitized carbon nitride, UCNPs: up-conversion nanoparticles, OPH: organophosphorus hydrolase, ALP: alkaline phosphatase, BSA: bull serum albumin, CQDs: carbon quantum dots.
Fig. 7. (a) Schematic illustration of signaling strategy for OPs using AChE, AuNPs, and a sol–gel-derived silicate network (SiSG). Adapted with permission from Ref [70]. (b) Schematic illustration of signaling strategy for OPs using a flexible film containing AChE, AuNPs, molybdenum disulfide (MoS2), and reduced graphene oxide/polyimide (rGO/ PI). Adapted with permission from Ref [74]. (c) Schematic illustration of signaling strategy for OPs using a composite of Au, sulfonated reduced graphene oxide (rGO), and pyrrole. Adapted with permission from Ref [76]. (d) Schematic illustration of signaling strategy for OPs using MXene nanosheets with Au and palladium (Pd) NPs. Adapted with permission from Ref [80].
*Au combined with organic or inorganic materials. Au in enzyme biosensors can be combined with nanomaterials to increase the rate of electron transfer. In this way, Wei and Wang developed an AChE biosensor using a honeycomb hierarchical ionic liquid- AuNP-porous carbon composite with a boron-doped diamond elec- trode as an immobilization matrix to enhance biosensor perfor- mance synergistically and improve the adsorption of AChE [72]. Lettuce leaves samples were analyzed using this biosensor, and the LOD was 0.661 pg/mL. Combining AuNPs with other nanoma- terials can also harness other Au properties. For instance, Zhao et al. constructed a platform for AChE by gradually depositing elec- trochemically reduced graphene oxide, AuNPs, cyclodextrin, and Prussian blue chitosan on a glassy carbon electrode. The graphene oxide and AuNPs enhanced the electrochemical oxidation of thio- choline by synergistically promoting electron transfer between Prussian blue and glassy carbon electrodes [73]. AuNPs enhanced the electrical conductivity of graphene and prevented its agglom- eration. The biosensor achieves a LOD of 4.41 pg/mL for malathion. Moreover, Du et al. deposited AuNPs on a multi-walled carbon nanotube membrane by a multi-electrical stepwise technique using a glassy carbon electrode and methyl parathion-degrading enzyme immobilized on the modified electrode covalently linked to cadmium telluride quantum dots [74]. AuNPs and multi- walled carbon nanotubes significantly increased the surface area. They exhibited a synergistic effect on the enzyme, and the quan- tum dots were used as carriers for the enzyme with a LOD of
1.0 ng/mL. Methyl parathion-degrading enzyme can hydrolyze
pesticides containing a P-S bond. It has a high selectivity for methyl parathion; other pesticides or oxygenated inorganic ions do not interfere with the detection. Additionally, Jia et al. synthesized a flexible membrane biosensor for AChE using an AuNP- molybdenum disulfide-reduced graphene oxide/polyimide elec- trode [75]. AuNPs were uniformly dispersed on the electrode by strong binding of Au-sulfur bonds. Unlike other groups, the team
reduced AuNPs directly on the monolayer membrane under illumi- nation, thus overcoming the tendency of AuNPs to peel off when coated on the electrode surface (Fig. 7b). The LOD of the sensor was 0.0014 mg/mL for paraoxon.
Au can bind to various materials to enhance enzyme binding and increase the binding area. In this way, Dhull et al. deposited a paste of AuNPs and multi-walled carbon nanotubes on an Au electrode. AChE was immobilized on carboxylated single-walled carbon nanotubes, and a Nafion layer was applied to prevent enzyme leaching on the electrode [76]. Moreover, Yang and col- leagues co-deposited sulfonated reduced graphene oxide and pyr- role bound to prevent aggregation [77]. AuNPs were then electrodeposited onto the surface, and the nanocomposite pro- vided a large conductivity platform for AChE and exhibiting a strong affinity for thiocholine (Fig. 7c). Under optimal conditions, the inhibition rate was proportional to the concentration of para- oxon in the range of 1.0 nmol/L 5 mmol/L, with a low limit of detection of 0.5 nmol/L. Further, Chauhan et al. developed AuNPs and calcium carbonate composites to modify Au electrodes on which AChE was immobilized. Citric acid around the AuNPs con- ferred a negative charge that enhanced the loading of AChE [78].
*Au combined with other metal NPs. Bimetallic NPs are also used in enzyme biosensors. For instance, Upadhyay and colleagues elec- trodeposited Au-platinum bimetallic NPs onto 3-aminopropyltriox ysilane-modified glassy carbon electrodes; AChE/choline oxidase was immobilized on the modified electrode by cross-linking with glutaraldehyde [79]. The synergism of the NPs exhibited excellent electrocatalytic activity. Similarly, Chen and co-workers used Au and AgNPs to prepare a composite sensor with a LOD of
9.1 pmol/L for methyl parathion [80]. Further, Zhao and colleagues prepared an AChE biosensor platform by combining ultrathin MXene nanosheets with Au-palladium bimetallic NPs and achieved a LOD of 1.75 ng/L for parathion [81] (Fig. 7d).
Fig. 8. (a) Transmission electron microscopy of hollow Au nanospheres. Adapted with permission from Ref. [82]. (b) Transmission electron microscopy of coral-like Au nanostructures. Adapted with permission from Ref. [89].
Table 2
Detection of OPs using electrochemical biosensors of enzyme inhibition based on Au nanomaterials.
2.06 × 10—6 lg/L
1.00 lg/L; 1.00 × 10—5–1.00 lg/L
4.3–1.00 × 103 pg/mL
4.9 × 10—13–9.5 × 10—6 mol/L
*LOD: Limit of detection, SPCE: screen printed carbon working electrode, VNSWCNTs: vertical nitrogen-doped single-walled carbon nanotubes, SiSG: sol–gel-derived silicate network, CHIT/CS: chitosan, [BSmim]-HSO4: honeycomb-like hierarchically ion liquids, BDD: boron-doped diamond, ERGO: electrochemical reduced graphene oxide, b-CD: b- cyclodextrin, MPDE: methyl parathion degrading enzyme, PI: polyimide flexible film, PPy: polypyrrole, ChOx: choline oxidase, 3-APTES: 3-aminopropyltriethoxy silane, PDA: polydopamine, MXene: multi-dimensional nanocomposites, DMBG: dimethylbiguanide, Lcys: L-cysteine, HGNs: hollow gold nanospheres, MS: mesoporous SiO2
*Au combined with metal–organic framework (MOFs) derivatives. Au nanomaterials can also be designed with metal–organic framework (MOFs) derivatives to bind other nanomaterials and enhance per- formance. In this context, Song et al. prepared highly conductive MOFs and deposited them onto glassy carbon electrodes as an
AChE-based biosensor with a large surface area, enhanced AChE biocompatibility, and a LOD of 1.34 10—13 mol/L for methami- dophos [82].
Au combined with other materials
Complex-shaped Au nanomaterials. AuNPs are widely used in elec- trochemical sensors; however, their fixed specific surface area lim- its their performance to some extent. Researchers have used other morphologies in enzyme sensors to increase the surface area and electrocatalytic activity to overcome this challenge. On this occa- sion, Sun and co-workers prepared a highly sensitive AChE biosen- sor by combining hollow Au nanospheres with chitosan-modified
electrodes by electrostatic adsorption and assembling L-cysteine on the nanospheres [83] (Fig. 8a). The nanospheres enable a larger current response and higher selectivity, and their high specific sur- face area and good biocompatibility facilitate the immobilization of cholinesterase on the electrode surface. The LOD of the sensor was 0.06 mg/L for chlorpyrifos.
Au nanorods have excellent optical properties [84–86]. In this
way, Cui and colleagues developed an electrochemical acetyl- choline esterase biosensor using the high scattering cross-section of Au nanorods and their capacity to form core–shell nanostruc- tures with mesoporous silica [87]. The LOD for dichlorvos and dithiophos were 1.2 and 0.36 mg/L, respectively. Lang and co- workers synthesized an AChE/Au and Ag nanorods/glassy electrode with a LOD of 4.3 nmol/L for paraoxon [89].
More enzyme-binding sites are desirable structural characteris- tics in Au nanomaterials. For instance, Ju and colleagues synthe- sized nanocomposites of coral-like Au nanostructures on reduced
graphene oxide and immobilized AChE on a glassy carbon elec- trode [88] (Fig. 8b). The structure enhanced electron transfer effi- ciency by increasing the AChE attachment point with excellent electrical conductivity. The inhibition of the enzyme by triazophos can be determined, with a LOD of 0.35 lg/L.
The examples above summarize the role and significance of Au nanomaterials in enzyme biosensors. Table 2 summarizes data from the literature on electrochemical enzyme biosensors that use Au to detect Ops.
Conclusions and perspectives
This review summarized methods for rapidly detecting OPs by introducing enzyme inhibition methods based on Au nanomateri- als, including colorimetric, fluorometric, and biosensor detection. Colorimetric and fluorometric detections are completely new clas- sifications from a mechanistic point of view. By screening Au nano- materials of different shapes, sizes and functionalized modifications on the surface of Au nanomaterials, researchers have further improved the sensitivity and accuracy of detection and reduced the generation of false positives. Electrochemical biosen- sors are classified in terms of material applications. Researchers combined Au with other metallic nanomaterials to improve detec- tion sensitivity, such as inorganic and organic materials, to obtain better conductive efficiency and catalytic and optical properties. However, natural enzymes still have many problems, such as poor tolerance and stability. Commercially available enzyme inhibition methods based on Au nanomaterials can simultaneously semi- quantitatively detect OPs and carbamate pesticides. However, they cannot achieve quantitative detection of pesticides, and enzyme inhibition methods based on Au nanomaterials require sophisti- cated pretreatment. The forthcoming enzyme inhibition may be improved as follows. On the one hand, biological and genetic engi- neering technology can be used to modify the natural enzymes to obtain well-tolerated enzyme sources or use artificial mimic enzymes to avoid false positives in the testing process. On the other hand, existing pre-treatment methods could be modified and/or optimized to recognize the detection of OPs based on enzyme inhibition using Au nanomaterials for pre-treatment methods.
Compliance with ethics requirements
This article does not contain any studies with human or animal subjects.
CRediT authorship contribution statement
Rongqi Zhai: Investigation, Writing – original draft. Ge Chen: Investigation, Writing – original draft. Guangyang Liu: Investiga- tion, Visualization. Xiaodong Huang: Investigation, Visualization. XiaoMin Xu: Visualization, Supervision. Lingyun Li: Visualization, Supervision. Yanguo Zhang: Visualization, Supervision. Jing Wang: Validation, Writing – review & editing. Maojun Jin: Valida- tion, Writing – review & editing. Donghui Xu: Validation, Writing
– review & editing. A.M. Abd El-Aty: Validation, Writing – review & editing.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influ- ence the work reported in this paper.
Acknowledgments
This study was financially supported by the Agricultural Science and Technology Innovation Program of CAAS (CAAS- ZDRW202011), Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Agricultural Sciences (IVF- BRF2021020), and Supported by the China Agriculture Research System of MOF and MARA (CARS-23-E03), the National Key Research Development Program of China (2020YFD1000300).
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