A self-probing, gate-controlled, molecularly imprinted electrochemical sensor for ultrasensitive determination of p-nonylphenol

Ai, Jiebing; Guo, Hao; Xue, Rui; Wang, Xiao; Xi, Lei; Yang, Wu

doi:10.1016/j.elecom.2018.02.008

Cited by 19 publications

(10 citation statements)

References 40 publications

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“…Inset is the corresponding equivalent circuit. The value of charge‐transfer resistance (R ct ) was calculated by the software of ZSimDemo . The R ct of MOF was 365 Ω similar to the bare of 432 Ω.…”

Section: Resultsmentioning

confidence: 97%

Electrocatalysis of Cu−MOF/Graphene Composite and its Sensing Application for Electrochemical Simultaneous Determination of Dopamine and Paracetamol

Guo

Wang

et al. 2019

Electroanalysis

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A nanocomposite of HKUST‐1 (MOF) and electroreduction graphene oxide (ERGO) is prepared and applied as an electrochemical sensor for the simultaneous determination of paracetamol and dopamine by means of one‐step electrodeposition. The MOF/ERGO composite displays excellent electrochemical catalytic activities towards the paracetamol and dopamine, which is attributed to the synergistic effect of big surface area, porosity and high electrocataytic activity of the MOF and good conductivity of ERGO. The modified electrode could be applied to determine simultaneously paracetamol and dopamine in biochemical samples with wide linear ranges (0.2 μM to 160 μM for paracetamol and 0.2 μM to 300 μM for dopamine) and low detection limits (0.016 μM for paracetamol and 0.013 μM for dopamine). Meanwhile, the proposed sensor still displays high sensitivity, good selectivity and excellent stability.

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Section: Resultsmentioning

confidence: 97%

Electrocatalysis of Cu−MOF/Graphene Composite and its Sensing Application for Electrochemical Simultaneous Determination of Dopamine and Paracetamol

Guo

Wang

et al. 2019

Electroanalysis

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“…Recent studies have shown that MIP-based sensors successfully combine the advantages of MIP receptors and various sensing platforms, and have great potential for application in food detection. MIPs devices based on their signal transduction principles include optical (Liu G. et al, 2018), electrochemical (Ai et al, 2018), and biosensing technologies (Zhang et al, 2018). The comparison of different detection methods for chemical pollutants based on MIPs-Sensor is given in Table 2.…”

Section: Mip-based Sensorsmentioning

confidence: 99%

Recent Advances and Future Trends in the Detection of Contaminants by Molecularly Imprinted Polymers in Food Samples

Gao

Chen

et al. 2020

Front. Chem.

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Drug residues, organic dyes, heavy metals, and other chemical pollutants not only cause environmental pollution, but also have a serious impact on food safety. Timely and systematic summary of the latest scientific advances is of great importance for the development of new detection technologies. In particular, molecularly imprinted polymers (MIPs) can mimic antibodies, enzymes and other biological molecules to recognize, enrich, and separate contaminants, with specific recognition, selective adsorption, high affinity, and strong resistance characteristics. Therefore, MIPs have been widely used in chemical analysis, sensing, and material adsorption. In this review, we first describe the basic principles and production processes of molecularly imprinted polymers. Secondly, an overview of recent applications of molecularly imprinted polymers in sample pre-treatment, sensors, chromatographic separation, and mimetic enzymes is highlighted. Finally, a brief assessment of current technical issues and future trends in molecularly imprinted polymers is also presented.

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“…in 1993, which greatly promoted the development of MIT. Now, MIPs are widely used in sensors [8,9], chromatographic separation [10,11], and solid phase extraction [12,13]. With the rapid development of quantum chemistry, more and more researchers are rapidly screening functional monomers, cross-linkers, solvents, and optimal imprinted ratios by computer simulation of MIPs systems [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Computationally assisted design of molecularly imprinted polymers for the detection of estrone

Liu

Cai

Liu

et al. 2022

Preprint

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Computer simulations are widely used for the selection of conditions for the synthesis of molecularly imprinted polymers and can rapidly reduce the experimental cycle time and save labor and materials. Here, estrone molecularly imprinted polymers (E1-MIPs) were designed at the M062X/6-311+G(d,p) level with itaconic acid (IA) as the functional monomer. The imprinted molar ratio between E1 and IA was optimized, cross-linkers and solvents were screened, and the nature of interactions between E1 and IA was explored. The simulated results showed that pentaerythritol triacrylate was the best cross-linker and methylbenzene was the best solvent. Meanwhile, when the imprinted molar ratio between E1 and IA was 1:4, the E1-IA complex owned the largest amount of hydrogen bonds, the lowest binding energy, and the strongest stability. The bonding situation of the E1-IA complex was studied using the atoms in molecules analysis. Finally, the study of E1 selectivity using quartz crystal microbalance sensors verified the correctness of theoretical predictions. The computer simulations and experimental studies could provide theoretical guidance for the selection of imprinted molar ratios, cross-linkers, and solvents to synthesize of E1-MIPs. It also could provide important references and directions for the accurate and rapid detection of E1 in water bodies.

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A self-probing, gate-controlled, molecularly imprinted electrochemical sensor for ultrasensitive determination of p-nonylphenol

Cited by 19 publications

References 40 publications

Electrocatalysis of Cu−MOF/Graphene Composite and its Sensing Application for Electrochemical Simultaneous Determination of Dopamine and Paracetamol

Electrocatalysis of Cu−MOF/Graphene Composite and its Sensing Application for Electrochemical Simultaneous Determination of Dopamine and Paracetamol

Recent Advances and Future Trends in the Detection of Contaminants by Molecularly Imprinted Polymers in Food Samples

Computationally assisted design of molecularly imprinted polymers for the detection of estrone

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