Non-destructive detection of pesticide residues in cucumber using visible/near-infrared spectroscopy

被引：53

作者：

Jamshidi, Bahareh ^{[1
]}

Mohajerani, Ezeddin ^{[2
]}

Jamshidi, Jamshid ^{[3
]}

Minaei, Saeid ^{[4
]}

Sharifi, Ahmad ^{[1
]}

机构：

[1] Agr Res Educ & Extens Org AREEO, Agr Engn Res Inst, Karaj, Iran

[2] Shahid Beheshti Univ, Laser & Plasma Res Inst, Tehran, Iran

[3] Zarif Mosavar Ind Mfg Co, Esfahan, Iran

[4] Tarbiat Modares Univ, Agr Machinery Engn Dept, Fac Agr, Tehran, Iran

来源：

FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT | 2015年 / 32卷 / 06期

基金：

美国国家科学基金会;

关键词：

near-infrared spectroscopy; cucumber; pesticide residues; maximum residue level; non-destructive; diazinon; NIR SPECTROSCOPY; QUALITY; GREEN; FRUIT; DICHLORVOS; EXTRACTION; VEGETABLES; ORANGE; SUGAR; WATER;

D O I：

10.1080/19440049.2015.1031192

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

The feasibility of using visible/near-infrared (Vis/NIR) spectroscopy was assessed for non-destructive detection of diazinon residues in intact cucumbers. Vis/NIR spectra of diazinon solution and cucumber samples without and with different concentrations of diazinon residue were analysed at the range of 450-1000nm. Partial least squares-discriminant analysis (PLS-DA) models were developed based on different spectral pre-processing techniques to classify cucumbers with contents of diazinon below and above the MRL as safe and unsafe samples, respectively. The best model was obtained using a first-derivative method with the lowest standard error of cross-validation (SECV=0.366). Moreover, total percentages of correctly classified samples in calibration and prediction sets were 97.5% and 92.31%, respectively. It was concluded that Vis/NIR spectroscopy could be an appropriate, fast and non-destructive technology for safety control of intact cucumbers by the absence/presence of diazinon residues.

引用

页码：857 / 863

页数：7

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