Kinetic insight into the mechanism of cholinesterasterase inhibition by aflatoxin B1 to develop biosensors

The potential of a novel enzyme-based surface plasmon resonance biosensor for direct detection of dopamine

Dopamine is one of the significant neurotransmitters and its monitoring in biological fluids is a critical issue in healthcare and modern biomedical technology. Here, we have developed a dopamine biosensor based on surface plasmon resonance (SPR). For this purpose, the carboxymethyl dextran SPR chip was used as a surface to immobilize laccase as a bioaffinity recognition element. Data analysis exhibited that the acidic pH value is the optimal condition for dopamine interaction. Calculated kinetic affinity (KD) (48,545 nM), obtained from a molecular docking study, showed strong association of dopamine with the active site of laccase. The biosensor exhibited a linearity from 0.01 to 189 μg/ml and a lower detection limit of 0.1 ng/ml (signal-to-noise ratio (S/N) = 3) that is significantly higher than the most direct dopamine detecting sensors reported so far. Experiments for specificity in the presence of compounds that can co-exist with dopamine detection such as ascorbic acid, urea and L-dopa showed no significant interference. The current dopamine biosensor with high sensitivity and specificity, represent a novel detection tool that offers a label-free, simple procedure and cost effective monitoring system.

Mathematical Modelling of Biosensing Platforms Applied for Environmental Monitoring

In recent years, mathematical modelling has known an overwhelming integration in different scientific fields. In general, modelling is used to obtain new insights and achieve more quantitative and qualitative information about systems by programming language, manipulating matrices, creating algorithms and tracing functions and data. Researchers have been inspired by these techniques to explore several methods to solve many problems with high precision. In this direction, simulation and modelling have been employed for the development of sensitive and selective detection tools in different fields including environmental control. Emerging pollutants such as pesticides, heavy metals and pharmaceuticals are contaminating water resources, thus threatening wildlife. As a consequence, various biosensors using modelling have been reported in the literature for efficient environmental monitoring. In this review paper, the recent biosensors inspired by modelling and applied for environmental monitoring will be overviewed. Moreover, the level of success and the analytical performances of each modelling-biosensor will be discussed. Finally, current challenges in this field will be highlighted.

An Acetylcholinesterase Inhibition-Based Biosensor for Aflatoxin B1 Detection Using Sodium Alginate as an Immobilization Matrix

In this study, we investigated a novel aflatoxin biosensor based on acetylcholinesterase (AChE) inhibition by aflatoxin B1 (AFB1) and developed electrochemical biosensors based on a sodium alginate biopolymer as a new matrix for acetylcholinesterase immobilization. Electrochemical impedance spectroscopy was performed as a convenient transduction method to evaluate the AChE activity through the oxidation of the metabolic product, thiocholine. Satisfactory analytical performances in terms of high sensitivity, good repeatability, and long-term storage stability were obtained with a linear dynamic range from 0.1 to 100 ng/mL and a low detection limit of 0.1 ng/mL, which is below the recommended level of AFB1 (2 µg/L). The suitability of the proposed method was evaluated using the samples of rice supplemented with AFB1 (0.5 ng/mL). The selectivity of the AChE-biosensor for aflatoxins relative to other sets of toxic substances (OTA, AFM 1) was also investigated.

Molecular Modeling Studies on the Interactions of Aflatoxin B1 and Its Metabolites with Human Acetylcholinesterase. Part II: Interactions with the Catalytic Anionic Site (CAS)

The most common type of aflatoxin (AFT) found in nature is aflatoxin B1 (AFB1). This micotoxin is extremely hepatotoxic and carcinogenic to mammals, with acute and chronic effects. It is believed that this could be related to the capacity of AFB1 and its metabolites in inhibiting the enzyme acetylcholinesterase (AChE). In a previous work, we performed an inedited theoretical investigation on the binding modes of these molecules on the peripheral anionic site (PAS) of human AChE (HssAChE), revealing that the metabolites can also bind in the PAS in the same way as AFB1. Here, we investigated the binding modes of these compounds on the catalytic anionic site (CAS) of HssAChE to compare the affinity of the metabolites for both binding sites as well as verify which is the preferential one. Our results corroborated with experimental studies pointing to AFB1 and its metabolites as mixed-type inhibitors, and pointed to the residues relevant for the stabilization of these compounds on the CAS of HssAChE.

Conformational rigidity of cholinesterases allows for the prediction of combined effects in a particular double mutant

The conformational rigidity of Drosophila melanogaster AChE, was checked by kinetic means on recombinant enzyme with the substitutions of two important amino acids, one at the catalytic anionic site (W83A), one at the peripheral anionic site (W321A) and the double mutant with both tryptophans substituted by alanines (W83A/W321A). It was hypothesized that the individual mutations would affect only the binding affinities of substrate molecules at each site and that a predictable effect would show up in the corresponding double mutant. Simple inspection revealed that bell shaped curves of activity at wide substrate concentration range in the catalytic anionic site mutants carry much less information than the analogous asymmetric ones of the wild type and peripheral anionic site mutant. Therefore, a concurrent kinetic analysis of the curves for all four enzymes was undertaken by constraining mutation independent parameters: unchanged affinity at the catalytic/peripheral anionic site of the opposite mutant in comparison to the parameters for wild type enzyme. Additionally, the parameters for W83A mutated enzyme were employed for the characterization of double mutant (W83A/W321A) protein by setting the dissociation constant for the substrate at the peripheral anionic site as determined for W321A mutant. Simultaneous analysis exactly reproduced the behavior of the double mutant without any significant change of previously reported values for the wild type enzyme (Stojan et al., 2004). This kinetic behavior is completely in line with the crystallographic evidence of structural rigidity in cholinesterases.

New biorecognition molecules in biosensors for the detection of toxins

Biological and synthetic recognition elements are at the heart of the majority of modern bioreceptor assays. Traditionally, enzymes and antibodies have been integrated in the biosensor designs as a popular choice for the detection of toxin molecules. But since 1970s, alternative biological and synthetic binders have been emerged as a promising alternative to conventional biorecognition elements in detection systems for laboratory and field-based applications. Recent research has witnessed immense interest in the use of recombinant enzymatic methodologies and nanozymes to circumvent the drawbacks associated with natural enzymes. In the area of antibody production, technologies based on the modification of in vivo synthesized materials and in vitro approaches with development of "display "systems have been introduced in the recent years. Subsequently, molecularly-imprinted polymers and Peptide nucleic acid (PNAs) were developed as an attractive receptor with applications in the area of sample preparation and detection systems. In this article, we discuss all alternatives to conventional biomolecules employed in the detection of various toxin molecules We review recent developments in modified enzymes, nanozymes, nanobodies, aptamers, peptides, protein scaffolds and DNazymes. With the advent of nanostructures and new interface materials, these recognition elements will be major players in future biosensor development.

The natural product dihydrotanshinone I provides a prototype for uncharged inhibitors that bind specifically to the acetylcholinesterase peripheral site with nanomolar affinity

Cholinergic synaptic transmission often requires extremely rapid hydrolysis of acetylcholine by acetylcholinesterase (AChE). AChE is inactivated by organophosphates (OPs) in chemical warfare nerve agents. The resulting accumulation of acetylcholine disrupts cholinergic synaptic transmission and can lead to death. A potential long-term strategy for preventing AChE inactivation by OPs is based on evidence that OPs must pass through a peripheral site or P-site near the mouth of the AChE active site gorge before reacting with a catalytic serine in an acylation site or A-site at the base of the gorge. An ultimate goal of this strategy is to design compounds that bind tightly at or near the P-site and exclude OPs from the active site while interfering minimally with the passage of acetylcholine. However, to target the AChE P-site with ligands and potential drugs that selectively restrict access, much more information must be gathered about the structure-activity relationships of ligands that bind specifically to the P-site. We apply here an inhibitor competition assay that can correctly determine whether an AChE inhibitor binds to the P-site, the A-site, or both sites. We have used this assay to examine three uncharged, natural product inhibitors of AChE, including aflatoxin B1, dihydrotanshinone I, and territrem B. The first two of these inhibitors are predicted by the competition assay to bind selectively to the P-site, while territrem B is predicted to span both the P- and A-sites. These predictions have recently been confirmed by X-ray crystallography. Dihydrotanshinone I, with an observed binding constant (KI) of 750 nM, provides a good lead compound for the development of high-affinity, uncharged inhibitors with specificity for the P-site.

An ultrasensitive electrochemiluminescent immunoassay for aflatoxin M1 in milk, based on extraction by magnetic graphene and detection by antibody-labeled CdTe quantumn dots-carbon nanotubes nanocomposite

An ultrasensitive electrochemiluminescent immunoassay (ECLIA) for aflatoxins M1 (ATM1) in milk using magnetic Fe₃O₄-graphene oxides (Fe-GO) as the absorbent and antibody-labeled cadmium telluride quantum dots (CdTe QDs) as the signal tag is presented. Firstly, Fe₃O₄ nanoparticles were immobilized on GO to fabricate the magnetic nanocomposites, which were used as absorbent to ATM1. Secondly, aflatoxin M1 antibody (primary antibody, ATM1 Ab1), was attached to the surface of the CdTe QDs-carbon nanotubes nanocomposite to form the signal tag (ATM1 Ab1/CdTe-CNT). The above materials were characterized. The optimal experimental conditions were obtained. Thirdly, Fe-GO was employed for extraction of ATM1 in milk. Results indicated that it can adsorb ATM1 efficiently and selectively within a large extent of pH from 3.0 to 8.0. Adsorption processes reached 95% of the equilibrium within 10 min. Lastly, the ATM1 with a serial of concentrations absorbed on Fe-GO was conjugated with ATM1 Ab1/CdTe-CNT signal tag based on sandwich immunoassay. The immunocomplex can emit a strong ECL signal whose intensity depended linearly on the logarithm of ATM1 concentration from 1.0 to 1.0 × 10⁵ pg/mL, with the detection limit (LOD) of 0.3 pg/mL (S/N = 3). The method was more sensitive for ATM1 detection compared to the ELISA method. Finally, ten samples of milk were tested based on the immunoassay. The method is fast and requires very little sample preparation, which was suitable for high-throughput screening of mycotoxins in food.

Biosensors based on enzyme inhibition

The present chapter describes the use of biosensors based on enzyme inhibition as analytical tools. The parameters that affect biosensor sensitivity, such as the amount of immobilized enzyme, incubation time, and immobilization type, were critically evaluated, highlighting how the knowledge of enzymatic kinetics can help researchers optimize the biosensor in an easy and fast manner. The applications of these biosensors demonstrating their wide application have been reported. The objective of this survey is to give a critical description of biosensors based on enzyme inhibition, of their assembly, and their application in the environmental, food, and pharmaceutical fields.

Development of an electrochemical biosensor for the detection of aflatoxin M1 in milk

We have developed an electrochemical immunosensor for the detection of ultratrace amounts of aflatoxin M(1) (AFM(1)) in food products. The sensor was based on a competitive immunoassay using horseradish peroxidase (HRP) as a tag. Magnetic nanoparticles coated with antibody (anti-AFM(1)) were used to separate the bound and unbound fractions. The samples containing AFM(1) were incubated with a fixed amount of antibody and tracer [AFM(1) linked to HRP (conjugate)] until the system reached equilibrium. Competition occurs between the antigen (AFM(1)) and the conjugate for the antibody. Then, the mixture was deposited on the surface of screen-printed carbon electrodes, and the mediator [5-methylphenazinium methyl sulphate (MPMS)] was added. The enzymatic response was measured amperometrically. A standard range (0, 0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.3, 0.4 and 0.5 ppb) of AFM(1)-contaminated milk from the ELISA kit was used to obtain a standard curve for AFM(1). To test the detection sensitivity of our sensor, samples of commercial milk were supplemented at 0.01, 0.025, 0.05 or 0.1 ppb with AFM(1). Our immunosensor has a low detection limit (0.01 ppb), which is under the recommended level of AFM(1) [0.05 μg L-1 (ppb)], and has good reproducibility.