Photoelectrochemical determination of malathion by using CuO modified with a metal-organic framework of type Cu-BTC

Cao, Yu; Wang, Luona; Wang, Chengyin; Su, Dawei; Liu, Yunling; Hu, Xiaoyun

doi:10.1007/s00604-019-3597-0

Cited by 29 publications

(10 citation statements)

References 35 publications

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“…Researchers have used approaches, such as high-performance liquid chromatography (HPLC), gas chromatography, and mass spectrometry, to face the challenge of pesticide residue detection. − These methods display adequate sensitivity and stability but suffer from expensive instrumentation, tedious sample preparation, high cost, complex procedures, and specially trained operators. Hence, emerging strategies such as colorimetry, fluorescence, surface-enhanced Raman scattering, and electrochemistry were used to promote the sensing platform for pesticides. − Significantly, benefiting from the enzyme inhibition capability of OPs, several enzyme-mediated methods have sprung up for detecting pesticide residues by sensing the inhibited enzyme activity. , In our previous work, a metal–organic framework nanosensor was developed for the dufulin OP detection by inhibiting the activity of acid phosphatase . However, enzyme-based sensors were often responsive to various OPs but incapable of detecting the specific pesticide among OPs .…”

Section: Introductionmentioning

confidence: 99%

Nonenzymatic Target-Driven DNA Nanomachine for Monitoring Malathion Contamination in Living Cells and Bioaccumulation in Foods

Liu

Zhang

et al. 2022

Anal. Chem.

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Intensive applications of toxic malathion pesticides bring a vital threat to the environment and health. Hence, a credible and sensitive strategy is urgently needed for the respective detection of malathion. In this work, an aptamer-based nonenzymatic autonomous DNA walking machine was fabricated for monitoring trace malathion contamination in cells and foods. Along with the machine walking driven by malathion-triggered reaction entropy, multiple fluorescent signal outputs were thermodynamically generated for signal amplification. The proposed stable DNA nanomachine achieved satisfactory results with a detection limit of 81.9 pg L–1 for testing malathion, which could be applied to actual samples including apple juice, paddy water, and paddy soil. Furthermore, the high stability, sensitivity, and biocompatibility of the nanomachine enabled monitoring of the malathion contamination in living cells and bioaccumulation in lettuce without additional purification. Consequently, with these excellent performances, it is strongly anticipated that the DNA walking machine has tremendous potential to be extended to general platforms against pesticides to avoid malathion-contaminated agricultural production for environmental safety and human health.

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Section: Introductionmentioning

confidence: 99%

Nonenzymatic Target-Driven DNA Nanomachine for Monitoring Malathion Contamination in Living Cells and Bioaccumulation in Foods

Liu

Zhang

et al. 2022

Anal. Chem.

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“…247 Therefore, extensive efforts have been made to trace these pesticides in the environment. 46,115,248,249 In 2020, Qin et al synthesized CdS nanocrystal-functionalized porous ultrathin MnO 2 nanosheet composites (CdS/MnO 2 ). 77 They established a linear relationship between the concentration of organophosphorus pesticides (OPs) and photocurrent by utilizing enzymatic etching of MnO 2 nanosheets and enzyme inhibition by OPs.…”

Section: Organic Pollutantsmentioning

confidence: 99%

Recent advances in photoelectrochemical platforms based on porous materials for environmental pollutant detection

Liu,

Zhan,

Cai

2024

RSC Adv.

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“…In addition, other pesticides (e.g., malathion, diazinon, parathion, parathion-methyl, asulam, and acetamiprid) can also be detected using PEC sensor. 37,[139][140][141][142][143][144][145][146] Li et al used the biocatalysis-induced formation of BiOBr/Bi2S3 semiconductor heterostructures to construct a label-free PEC sensor for malathion detection. 139 This sensor had a linear range of 1  10 -9 to 1  10 -3 g/L and a detection limit of 1.2  10 -10 g/L.…”

Section: Pesticidesmentioning

confidence: 99%

Research progress on photoelectrochemical sensors for contamination analysis in agricultural fields

et al. 2022

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The establishment of rapid and efficient contamination detection methods in agricultural fields is of great significance for safeguarding agricultural production and human health, and for ensuring the healthy development of agricultural industries. As a booming analytical method, photoelectrochemical (PEC) sensors, which combine the advantages of electrochemical analysis and optical analysis, have received increasing research attention. Due to the complete separation of the excitation source (light) and the detection signal (current), the background signal of PEC sensors is greatly decreased, and their sensitivity is high. This review aims to cover the advances in PEC sensors for contamination analysis in agricultural fields over the past five years, including analysis of heavy metals, antibiotics, pesticides, and toxins. The future prospects in this field are also discussed.

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Photoelectrochemical determination of malathion by using CuO modified with a metal-organic framework of type Cu-BTC

Cited by 29 publications

References 35 publications

Nonenzymatic Target-Driven DNA Nanomachine for Monitoring Malathion Contamination in Living Cells and Bioaccumulation in Foods

Nonenzymatic Target-Driven DNA Nanomachine for Monitoring Malathion Contamination in Living Cells and Bioaccumulation in Foods

Recent advances in photoelectrochemical platforms based on porous materials for environmental pollutant detection

Research progress on photoelectrochemical sensors for contamination analysis in agricultural fields

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