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

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 450–1000 nm. 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.

[1]  Sumio Kawano,et al.  Rapid Determination of Fungicide Contaminated on Tomato Surfaces Using the DESIR-NIR: A System for ppm-order Concentration , 2005 .

[2]  G. Font,et al.  Capillary electrophoresis for analyzing pesticides in fruits and vegetables using solid-phase extraction and stir-bar sorptive extraction. , 2005, Journal of chromatography. A.

[3]  M. Certel,et al.  Residue contents of DDVP (Dichlorvos) and diazinon applied on cucumbers grown in greenhouses and their reduction by duration of a pre-harvest interval and post-harvest culinary applications , 2006 .

[4]  Yong He,et al.  Theory and application of near infrared reflectance spectroscopy in determination of food quality , 2007 .

[5]  A. Peirs,et al.  Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .

[6]  Renfu Lu,et al.  Visible and near-infrared spectroscopy for nondestructive quality assessment of pickling cucumbers , 2007 .

[7]  H. Heise,et al.  Chemometrics in Near‐Infrared Spectroscopy , 2007 .

[8]  Min Huang,et al.  Combination and comparison of multivariate analysis for the identification of orange varieties using visible and near infrared reflectance spectroscopy , 2007 .

[9]  Hong Tiansheng,et al.  Nondestructive Detection of Pesticide Residue on Longan Surface Based on Near Infrared Spectroscopy , 2010, 2010 International Conference on Intelligent Computation Technology and Automation.

[10]  Dolores Pérez-Marín,et al.  Measurement of pesticide residues in peppers by near-infrared reflectance spectroscopy. , 2010, Pest management science.

[11]  Kerry B. Walsh,et al.  Assessment of sugar and starch in intact banana and mango fruit by SWNIR spectroscopy , 2011 .

[12]  Yankun Peng,et al.  Optical Technologies for Determination of Pesticide Residue , 2012 .

[13]  T. Theophanides.  Infrared Spectroscopy - Materials Science, Engineering and Technology , 2012 .

[14]  Jian-ping Xu,et al.  Direct detection of phoxim in water by two-dimensional correlation near-infrared spectroscopy combined with partial least squares discriminant analysis. , 2012, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[15]  Long Xue,et al.  Application of Particle Swarm Optimization (PSO) Algorithm to Determine Dichlorvos Residue on the Surface of Navel Orange with Vis-NIR Spectroscopy , 2012 .

[16]  Dolores Pérez-Marín,et al.  Non-destructive characterization and quality control of intact strawberries based on NIR spectral data , 2012 .

[17]  Saeid Minaei,et al.  Reflectance Vis/NIR spectroscopy for nondestructive taste characterization of Valencia oranges , 2012 .

[18]  A. J. Gaitán-Jurado,et al.  Feasibility of using NIR spectroscopy to detect herbicide residues in intact olives , 2013 .

[19]  Minzan Li,et al.  A Survey of Determination for Organophosphorus Pesticide Residue in Agricultural Products , 2013 .

[20]  Xingyi Huang,et al.  Review on the Potential Use of Near Infrared Spectroscopy (NIRS) for the Measurement of Chemical Residues in Food , 2013 .

[21]  D. Slaughter,et al.  Nondestructive maturity determination in green tomatoes using a handheld visible and near infrared instrument , 2013 .

[22]  A. Abad‐Somovilla,et al.  Immunoassays for trifloxystrobin analysis. Part II. Assay development and application to residue determination in food. , 2014, Food chemistry.

[23]  Xingang Liu,et al.  Green and sensitive supercritical fluid chromatographic-tandem mass spectrometric method for the separation and determination of flutriafol enantiomers in vegetables, fruits, and soil. , 2014, Journal of agricultural and food chemistry.

[24]  S. Minaei,et al.  Prediction of Soluble Solids in Oranges Using Visible/Near-Infrared Spectroscopy: Effect of Peel , 2014 .

[25]  K. Nakano,et al.  The use of visible and near infrared spectroscopy for evaluating passion fruit postharvest quality , 2014 .

[26]  Y. Picó,et al.  Last trends in pesticide residue determination by liquid chromatography–mass spectrometry , 2014 .

[27]  Md. Musfiqur Rahman,et al.  Simultaneous multi-determination and transfer of eight pesticide residues from green tea leaves to infusion using gas chromatography. , 2014, Food chemistry.

[28]  H. Eun,et al.  Determination of Seven Neonicotinoid Insecticides in Cucumber and Eggplant by Water-Based Extraction and High-Performance Liquid Chromatography , 2015 .

[29]  J. McGrath,et al.  Determination of sucrose content in sugar beet by portable visible and near-infrared spectroscopy. , 2015, Food chemistry.