Development of biomimetic enzyme-linked immunosorbent assay based on molecular imprinting technique for semicarbazide detection

Yu, Wenlong; Liu, Minxuan; Liu, Ruobing; Sang, Yaxin; Wang, Shuo; Wang, Xianghong

doi:10.1080/09540105.2019.1692789

Cited by 15 publications

(4 citation statements)

References 28 publications

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“…ωB97xD is a long-range corrected hybrid density functional with damped atom–atom dispersion corrections and is more reliable for the calculation of the dispersion than earlier density functionals [ 75 ]. M062X is a set of four meta-hybrid generalized gradient approximation (GGA) and meta-GGA DFT functionals [ 76 ]. These functionals also yield good results for systems containing dispersion forces [ 77 , 78 , 79 , 80 ].…”

Section: Quantum Mechanics Methods To Design Mipsmentioning

confidence: 99%

An Update on Molecularly Imprinted Polymer Design through a Computational Approach to Produce Molecular Recognition Material with Enhanced Analytical Performance

et al. 2021

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Molecularly imprinted polymer (MIP) computational design is expected to become a routine technique prior to synthesis to produce polymers with high affinity and selectivity towards target molecules. Furthermore, using these simulations reduces the cost of optimizing polymerization composition. There are several computational methods used in MIP fabrication and each requires a comprehensive study in order to select a process with results that are most similar to properties exhibited by polymers synthesized through laboratory experiments. Until now, no review has linked computational strategies with experimental results, which are needed to determine the method that is most appropriate for use in designing MIP with high molecular recognition. This review will present an update of the computational approaches started from 2016 until now on quantum mechanics, molecular mechanics and molecular dynamics that have been widely used. It will also discuss the linear correlation between computational results and the polymer performance tests through laboratory experiments to examine to what extent these methods can be relied upon to obtain polymers with high molecular recognition. Based on the literature search, density functional theory (DFT) with various hybrid functions and basis sets is most often used as a theoretical method to provide a shorter MIP manufacturing process as well as good analytical performance as recognition material.

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Section: Quantum Mechanics Methods To Design Mipsmentioning

confidence: 99%

An Update on Molecularly Imprinted Polymer Design through a Computational Approach to Produce Molecular Recognition Material with Enhanced Analytical Performance

et al. 2021

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“…The LOD and IC 50 of this method were 1.0 and 85.7 ng/mL, respectively. They have successfully applied this assay to the analysis of SEM residues in beef, pork, and shrimp samples, achieving an acceptable recovery of 86.1-90.8% (Yu et al, 2020).…”

Section: Elisa Detection Of Nitrofurazone and Its Metabolite (Sem)mentioning

confidence: 99%

Progress in immunoassays for nitrofurans detection

Yang

Liu

et al. 2020

Food and Agricultural Immunology

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Nitrofurans comprise a class of synthetic broad-spectrum antibacterial agents, which had been used extensively as therapeutic drugs and feed additives in animal husbandry. Because of the potential carcinogenic and mutagenic effects of these drugs and their metabolites, most countries have banned their use in food animals. However, driven by economic interests, the illegal use of nitrofurans poses a significant threat to human health. Therefore, to safeguard health of the consumer, it is of paramount importance to develop efficient, sensitive, and reliable detection methods to monitor nitrofuran and their metabolite residues in animal-derived foods. In this paper, the progress in immunoassays for nitrofuran residues is reviewed, including enzyme-linked immunosorbent assay, fluoroimmunoassay, chemiluminescence immunoassay, immunochromatography, and immunosensor assay. Basic principles and applications of these methods were described and compared in this paper. Furthermore, the future perspective on the improvement and development of the immunoassays for the detection of nitrofurans has been discussed.

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“…In this context, several efforts have been already devoted to discovering new signal reporters to increase ELISA sensitivity [3] and to pinpoint capturing agents, i.e., mimetics [8], able to flank and/or supplant antibodies that generally are expensive and sensitive to environmental conditions. Looking at mimetic capturing agents, the literature has highlighted aptamers and molecularly imprinted polymers (MIPs) as the most promising ones to develop diagnostic "antibody-free" ELISA-like format assays, i.e., enzymelinked oligonucleotide assay (ELONA) [6,9], biomimetic enzyme-linked immunoassay (BELISA) [10][11][12][13][14][15][16][17][18][19], pseudo-ELISA [7,[20][21][22][23], or nanoparticle-based assay (MINA) [1,15,[24][25][26][27][28][29]. At present, a positive imbalance of the literature is in favor of aptamers, with only a few reports about MIPs starting from 2014.…”

Section: Introductionmentioning

confidence: 99%

A biomimetic enzyme-linked immunosorbent assay (BELISA) for the analysis of gonadorelin by using molecularly imprinted polymer-coated microplates

et al. 2022

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An original biomimetic enzyme-linked immunoassay (BELISA) to target the small peptide hormone gonadorelin is presented. This peptide has been recently listed among the substances banned in sports by the World Antidoping Agency (WADA) since its misuse by male athletes triggers testosterone increase. Hence, in response to this emerging issue in anti-doping controls, we proposed BELISA which involves the growth of a polynorepinephrine (PNE)–based molecularly imprinted polymer (MIP) directly on microwells. PNE, a polydopamine (PDA) analog, has recently displayed impressive performances when it was exploited for MIP preparation, giving even better results than PDA. Gonadorelin quantification was accomplished via a colorimetric indirect competitive bioassay involving the competition between biotinylated gonadorelin linked to the signal reporter and the unlabeled analyte. These compete for the same MIP binding sites resulting in an inverse correlation between gonadorelin concentration and the output color signal (λ = 450 nm). A detection limit of 277 pmol L−1 was achieved with very good reproducibility in standard solutions (avCV% = 4.07%) and in urine samples (avCV% = 5.24%). The selectivity of the assay resulted adequate for biological specimens and non-specific control peptides. In addition, the analytical figures of merit were successfully validated by mass spectrometry, the reference anti-doping benchtop platform for the analyte. BELISA was aimed to open real perspectives for PNE-based MIPs as alternatives to antibodies, especially when the target analyte is a poorly or non-immunogenic small molecule, such as gonadorelin. Graphical abstract

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Development of biomimetic enzyme-linked immunosorbent assay based on molecular imprinting technique for semicarbazide detection

Cited by 15 publications

References 28 publications

An Update on Molecularly Imprinted Polymer Design through a Computational Approach to Produce Molecular Recognition Material with Enhanced Analytical Performance

An Update on Molecularly Imprinted Polymer Design through a Computational Approach to Produce Molecular Recognition Material with Enhanced Analytical Performance

Progress in immunoassays for nitrofurans detection

A biomimetic enzyme-linked immunosorbent assay (BELISA) for the analysis of gonadorelin by using molecularly imprinted polymer-coated microplates

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