A simple method of detection of 15 organochlorine pesticides in human plasma using gas chromatography

Birich, Bouchra; Hajjaji, Souad El; Ghandi, Mohammed; Daoud, Naima Ait; Badrane, Narjis; Soulaymani, R.

doi:10.1016/j.cdc.2020.100562

Chemical Data Collections

2020

DOI: 10.1016/j.cdc.2020.100562

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A simple method of detection of 15 organochlorine pesticides in human plasma using gas chromatography

Bouchra Birich

Souad El Hajjaji

Mohammed Ghandi

et al.

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Cited by 4 publications

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“…Traditional analytical methods including gas chromatography (GC), high performance liquid chromatography (HPLC), and gas chromatography-mass spectrometry (GC-MS) have been developed and exhibit high sensitivity in the detection of chlorpyrifos. [11][12][13] However, these analytical methods in practical applications are limited due to some shortcomings, such as complex sample pretreatment, high cost, complicated technical operation, and longterm testing process. 14,15 Compared with these methods, photoelectrochemical (PEC) method displays enormous advantages such as low background signal, rapid response, simple operation and high sensitivity.…”

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confidence: 99%

One-Step Electropolymerization of Polythiophene Derivative Film for Photoelectrochemical Detection of Chlorpyrifos

Xu¹,

Zhou²,

Zhang³

et al. 2022

J. Electrochem. Soc.

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The inappropriate and excessive use of chlorpyrifos has caused major damage to food safety and human health. Developing a simple yet sensitive detection method for chlorpyrifos residues is urgently needed. Photoelectrochemical (PEC) sensor with high photoelectric conversion efficiency is of great significance for the detection of chlorpyrifos residues in food. In this work, a novel PEC sensor based on polythiophene derivative film (PS2TTz) for the detection of chlorpyrifos is constructed via simple one-step electropolymerization within only 3.5 min. Scanning electron microscopy, raman spectroscopy, X-ray photoelectron spectroscopy, and other characterizations verified the effective decoration of PS2TTz film on the GCE, and the possible reaction mechanism between PS2TTz and chlorpyrifos was discussed. The PEC signal could be greatly decreased by PS2TTz film with chlorpyrifos due to the blocked transfer of electrons, leading to high sensitivity and good selectivity. On the basis of the proposed photoelectrochemical mechanism, the PEC sensor exhibited significant detection performance toward chlorpyrifos in the range of 1 to 218.92 μg/L with a LOD of 0.36 μg/L (S/N = 3). Impressively, the constructed PEC sensor was successfully applied in green vegetables, which expanded the scope for the detection of chlorpyrifos in practical application.

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mentioning

confidence: 99%

One-Step Electropolymerization of Polythiophene Derivative Film for Photoelectrochemical Detection of Chlorpyrifos

Xu¹,

Zhou²,

Zhang³

et al. 2022

J. Electrochem. Soc.

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Sensitive detection of ferbam by coupling solid phase microextraction with surface enhanced Raman spectroscopy based on Au nano-glass capillary

Wang

Zhang

2022

Spectrochimica Acta Part A: Molecular and Biomolecular Spectros

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Detection of Ningnanmycin Using Fluorescence Spectroscopy Combined with BP Neural Network

Wang

Jiang

et al. 2023

CCHTS

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Background: Ningnanmycin is a new antibiotic pesticide with good bactericidal and antiviral efficacy, which is widely used in the control of fruit and vegetable diseases, and the excessive pesticide residues pose a serious threat to environment and human health. Methods: In this study, we used fluorescence spectrometer to scan the three-dimensional spectrum of ningnanmycin samples, and used BP neural network to complete the regression analysis of content prediction based on the fluorescence spectra. After that, the prediction performance of the BP neural network was compared with the exponential fitting method. Results: The results of the BP neural network modeling based on the obtained samples showed that the mean square error of the prediction results of the test set is less than 10-4, the R-square is greater than 0.99, the average recovery is 99.11%, and the model performance of the BP neural network is better than exponential fitting. Conclusion: Studies have shown that the fluorescence spectroscopy combined with BP neural network can effectively predict the concentration of ningnanmycin.

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A simple method of detection of 15 organochlorine pesticides in human plasma using gas chromatography

Cited by 4 publications

References 25 publications

One-Step Electropolymerization of Polythiophene Derivative Film for Photoelectrochemical Detection of Chlorpyrifos

One-Step Electropolymerization of Polythiophene Derivative Film for Photoelectrochemical Detection of Chlorpyrifos

Sensitive detection of ferbam by coupling solid phase microextraction with surface enhanced Raman spectroscopy based on Au nano-glass capillary

Detection of Ningnanmycin Using Fluorescence Spectroscopy Combined with BP Neural Network

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