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Article

Feasibility of Using VIS/NIR Spectroscopy and Multivariate Analysis for Pesticide Residue Detection in Tomatoes

1
Department of Biosystem Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Daneshgah Street, Ardabil 56199-11367, Iran
2
Department of Agricultural Engineering and Technology, Moghan College of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Daneshgah Street, Ardabil 56199-11367, Iran
3
Department of Agricultural, Forest and Transport Machinery, University of Life Sciences in Lublin, Street Głęboka 28, 20-612 Lublin, Poland
*
Authors to whom correspondence should be addressed.
Received: 27 December 2020 / Revised: 15 January 2021 / Accepted: 15 January 2021 / Published: 21 January 2021
(This article belongs to the Collection Sustainable Food Processing Processes)
The purpose of this work was to investigate the detection of the pesticide residual (profenofos) in tomatoes by using visible/near-infrared spectroscopy. Therefore, the experiments were performed on 180 tomato samples with different percentages of profenofos pesticide (higher and lower values than the maximum residual limit (MRL)) as compared to the control (no pesticide). VIS/near infrared (NIR) spectral data from pesticide solution and non-pesticide tomato samples (used as control treatment) impregnated with different concentrations of pesticide in the range of 400 to 1050 nm were recorded by a spectrometer. For classification of tomatoes with pesticide content at lower and higher levels of MRL as healthy and unhealthy samples, we used different spectral pre-processing methods with partial least squares discriminant analysis (PLS-DA) models. The Smoothing Moving Average pre-processing method with the standard error of cross validation (SECV) = 4.2767 was selected as the best model for this study. In addition, in the calibration and prediction sets, the percentages of total correctly classified samples were 90 and 91.66%, respectively. Therefore, it can be concluded that reflective spectroscopy (VIS/NIR) can be used as a non-destructive, low-cost, and rapid technique to control the health of tomatoes impregnated with profenofos pesticide. View Full-Text
Keywords: pesticide residues; detection; tomato; spectroscopy; processing methods pesticide residues; detection; tomato; spectroscopy; processing methods
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MDPI and ACS Style

Soltani Nazarloo, A.; Rasooli Sharabiani, V.; Abbaspour Gilandeh, Y.; Taghinezhad, E.; Szymanek, M.; Sprawka, M. Feasibility of Using VIS/NIR Spectroscopy and Multivariate Analysis for Pesticide Residue Detection in Tomatoes. Processes 2021, 9, 196. https://0-doi-org.brum.beds.ac.uk/10.3390/pr9020196

AMA Style

Soltani Nazarloo A, Rasooli Sharabiani V, Abbaspour Gilandeh Y, Taghinezhad E, Szymanek M, Sprawka M. Feasibility of Using VIS/NIR Spectroscopy and Multivariate Analysis for Pesticide Residue Detection in Tomatoes. Processes. 2021; 9(2):196. https://0-doi-org.brum.beds.ac.uk/10.3390/pr9020196

Chicago/Turabian Style

Soltani Nazarloo, Araz, Vali Rasooli Sharabiani, Yousef Abbaspour Gilandeh, Ebrahim Taghinezhad, Mariusz Szymanek, and Maciej Sprawka. 2021. "Feasibility of Using VIS/NIR Spectroscopy and Multivariate Analysis for Pesticide Residue Detection in Tomatoes" Processes 9, no. 2: 196. https://0-doi-org.brum.beds.ac.uk/10.3390/pr9020196

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