Detection of Pesticide (Chlorpyrifos) Residues on Fruit Peels Through Spectra of Volatiles by FTIR

Xiao, Guangdong; Dong, Daming; Liao, Tongqing; Li, Yang; Zheng, Lingna; Zhang, Dongyan; Zhao, Chunjiang

doi:10.1007/s12161-014-0015-4

Cited by 33 publications

(14 citation statements)

References 25 publications

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“…Pesticides are usually attached to the surface of agricultural products, so peel is the most effective way to reduce pesticide residues in agricultural products level [8]. In terms of systemic pesticides, which can penetrate the flesh inside through the epidermis, peeled not remove the mango pesticide method completely [9].…”

Section: The Impact Of Peeled On Pesticide Residuesmentioning

confidence: 99%

The Variation of Pesticide Residues in the Processing of Mango Juice

You¹,

Wang²,

Yang³

et al. 2017

dtetr

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Abstract. In order to study the effect of different processing methods on pesticide residues in the mango juice. Different processing, namely, washing, peeling, beating, sterilization and cooling were treated to clarify the changes of pesticides (prochloraz, carbendazim, thiophanate-methyl and its metabolite 2-amino benzimidazole) in mango juice. The results showed that the processing factors were less than 1 in mango juice processing. Clean and peel plays an important role in mango juice. It can remove the vast majority of pesticides basically. The change trend of four kinds of pesticides is similar in the process of beating, sterilization and cooling, showing the tendency of decrease firstly and then increase again, so pesticide were degraded and transformed partially in this process.

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Section: The Impact Of Peeled On Pesticide Residuesmentioning

confidence: 99%

The Variation of Pesticide Residues in the Processing of Mango Juice

You¹,

Wang²,

Yang³

et al. 2017

dtetr

View full text Add to dashboard Cite

show abstract

“…Considering the advantages of non-destructive, non-contact and high speed, optical methods such as infrared spectroscopy [13], [14], Raman spectroscopy [15], [16] and fluorescence spectroscopy [17], [18] combined with chemometrics algorithm stand out in the field of qualitative and quantitative detection of chemical components. Considering the absorption of the water, infrared spectroscopy mainly used for the detection of the pesticides in the solid samples.…”

Section: Introductionmentioning

confidence: 99%

Multiple Kinds of Pesticides Detection Based on Back-Propagation Neural Network Analysis of Fluorescence Spectra

Bian

Younan

et al. 2020

IEEE Photonics J.

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Fluorescence spectroscopy attracted more and more attention in pesticide residue detection field because of its advantages of non-destructive, non-contact, high speed and no requirement of complex pre-process procedure. However, given that the concentration of the pesticide detected via fluorescence spectroscopy is calculated in accordance with the Beer-Lambert law, this method can only be used to detect samples containing a single kind of pesticide or several kinds of pesticides with completely different fluorescence which is not in accordance with practical cases. In this article, to overcome this disadvantage, back-propagation (BP) neural network algorithm was introduced to detect multiple kinds of pesticides via fluorescence spectroscopy. The results from four kinds of pesticides which are usually used for fruits and vegetables indicated the effectiveness of BP neural network algorithm.

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“…HSI has been widely used to measure the quality of agricultural products such as fruit, vegetables, meat, fish, and crops [26]. There have been studies that used visible–near infrared HSI techniques to detect pesticides on microalgae [27], chlorella pyrenoidosa [28], and fruit peels [29]. These studies indicate that LIBS and HSI both provide ways to detect pesticides.…”

Section: Introductionmentioning

confidence: 99%

Feasibility of Laser-Induced Breakdown Spectroscopy and Hyperspectral Imaging for Rapid Detection of Thiophanate-Methyl Residue on Mulberry Fruit

Meng

Yang

et al. 2019

IJMS

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An effective and rapid way to detect thiophanate-methyl residue on mulberry fruit is important for providing consumers with quality and safe of mulberry fruit. Chemical methods are complex, time-consuming, and costly, and can result in sample contamination. Rapid detection of thiophanate-methyl residue on mulberry fruit was studied using laser-induced breakdown spectroscopy (LIBS) and hyperspectral imaging (HSI) techniques. Principal component analysis (PCA) and partial least square regression (PLSR) were used to qualitatively and quantitatively analyze the data obtained by using LIBS and HSI on mulberry fruit samples with different thiophanate-methyl residues. The competitive adaptive reweighted sampling algorithm was used to select optimal variables. The results of model calibration were compared. The best result was given by the PLSR model that used the optimal preprocessed LIBS–HSI variables, with a correlation coefficient of 0.921 for the prediction set. The results of this research confirmed the feasibility of using LIBS and HSI for the rapid detection of thiophanate-methyl residue on mulberry fruit.

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Detection of Pesticide (Chlorpyrifos) Residues on Fruit Peels Through Spectra of Volatiles by FTIR

Cited by 33 publications

References 25 publications

The Variation of Pesticide Residues in the Processing of Mango Juice

The Variation of Pesticide Residues in the Processing of Mango Juice

Multiple Kinds of Pesticides Detection Based on Back-Propagation Neural Network Analysis of Fluorescence Spectra

Feasibility of Laser-Induced Breakdown Spectroscopy and Hyperspectral Imaging for Rapid Detection of Thiophanate-Methyl Residue on Mulberry Fruit

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