A poly(thymine)-templated fluorescent copper nanoparticle hydrogel-based visual and portable strategy for an organophosphorus pesticide assay

Chen, Jihua; Han, Ting; Feng, Xiuyun; Wang, Baojuan; Wang, Guangfeng

doi:10.1039/c9an00017h

Cited by 24 publications

(14 citation statements)

References 46 publications

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“…Owing to the good performance of fluorescent probe, functionalized hydrogel built on Cu NCs was prepared for visible determination of OPs. The reported sensing approach had been employed for rapid detection of paraoxon and exhibited a linear response range of 1.0 × 10 −4 –1.0 ng/μL with LOD of 3.33 × 10 −5 ng/μL [ 94 ] Moreover, based on the inhibition of OPs on trypsin, Yan and coworkers developed a ratiometric fluorescent sensor for OPs sensing ( Fig. 5B ).…”

Section: Fluorescent Sensors For Detection Of Food Contaminantsmentioning

confidence: 99%

Perspective on recent developments of nanomaterial based fluorescent sensors: applications in safety and quality control of food and beverages

Han¹,

Hao²,

Yang³

et al. 2020

Journal of Food and Drug Analysis

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As the highly toxic pollutants will seriously harm human health, it is particularly important to establish the analysis and detection technology of food pollutants. Compared with the traditional detection methods, fluorescent detection techniques based on nanomaterials trigger wide interesting because of reduced detection time, simple operation, high sensitivity and selectivity, and economic. In this review, the application of fluorescent sensors in food pollutants detection is presented. Firstly, conventional fluorescent nanomaterials including metal-based quantum dots, carbon dots, graphene quantum dots and metal nanoclusters were summarized, with emphasis on the photoluminescence mechanism. Then, the fluorescence sensors based on these nanomaterials for food pollutants detection were discussed, involving in the established methods, sensor mechanisms, sensitivity, selectivity, and practicability of fluorescence sensors. The selected analytes focus on five types of higher toxic food pollutants, including mycotoxins, foodborne pathogens, pesticide residues, antibiotic residues, and heavy metal ions. Finally, outlook on the future and potential development of fluorescence detection technology in the field of food science were proposed, including green synthesis and reusability of fluorescence probes, large-scale industrialization of sensors, nondestructive testing of samples and degradation of harmful substances.

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Section: Fluorescent Sensors For Detection Of Food Contaminantsmentioning

confidence: 99%

Perspective on recent developments of nanomaterial based fluorescent sensors: applications in safety and quality control of food and beverages

Han¹,

Hao²,

Yang³

et al. 2020

Journal of Food and Drug Analysis

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show abstract

“…Tyrosinase had an enzyme-controlled quenching effect on the fluorescence of Cu NCs, and organophosphorus compounds could inhibit tyrosinase and recover fluorescence. Therefore, PT-DNA-based BFHs combined with tyrosinase enabled pesticide detection [119] . Based on similar mechanisms, higher-cost DNA-templated fluorescent Au NCs [120] and Ag NCs [121] could also detect different pollutants.…”

Section: Hydrogels Loaded With B Iomacromoleculesmentioning

confidence: 99%

Application of optical hydrogels in environmental sensing

Yang

Sarkar

Xie

et al. 2023

Preprint

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The ever-increasing complexity of environmental pollutants urgently warrants the development of new detection technologies. In this context, sensors based on the optical properties of hydrogels enabling fast and easy in situ detection are attracting increasing attention. Herein, the target recognition and sensing mechanisms of two main types of optical hydrogels (OHs) are reviewed and discussed: photonic crystal hydrogels (PCHs) and fluorescent hydrogels (FHs). For PCHs, the environmental stimulus response, target receptors, inverse opal structures, and molecular imprinting techniques related to PCHs are reviewed and summarized. Furthermore, the different types of fluorophores (i.e., compound probes, biomacromolecules, quantum dots, and luminescent microbes) of FHs are summarized. Finally, the data from 138 papers about different OHs are extracted for secondary statistical analysis. The detection performance and potential of various OH types in different environmental pollutant detection scenarios are evaluated, and compared them to those obtained using the standard detection method. Based on this analysis, some possible development directions are proposed, including the fusion of various OHs, introduction of more hydrogel technologies from the biomedical field to the environmental pollutant detection field, and development of multifunctional sensor arrays.

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“…5C). In the beginning, the increase of Cu 2+ concentration was conducive to the formation of DNA-CuNCs, but the high concentration of Cu 2+ over 0.5 mM might destruct the DNA template, 58 reducing the formation of DNA-CuNCs.…”

Section: Optimization Of Assay Conditionsmentioning

confidence: 99%

A DNA–Cu nanocluster and exonuclease I integrated label-free reporting system for CRISPR/Cas12a-based SARS-CoV-2 detection with minimized background signals

et al. 2022

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A poly(thymine)-templated fluorescent copper nanoparticle hydrogel-based visual and portable strategy for an organophosphorus pesticide assay

Abstract: Since fluorescence assays with high sensitivity for organophosphorus pesticides (OPs) are urgently required to protect the ecosystem and prevent disease, an environmentally friendly and label-free fluorescent probe is desirable.

Cited by 24 publications

References 46 publications

Perspective on recent developments of nanomaterial based fluorescent sensors: applications in safety and quality control of food and beverages

Perspective on recent developments of nanomaterial based fluorescent sensors: applications in safety and quality control of food and beverages

Application of optical hydrogels in environmental sensing

A DNA–Cu nanocluster and exonuclease I integrated label-free reporting system for CRISPR/Cas12a-based SARS-CoV-2 detection with minimized background signals

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