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(to be completed)

 


ThinkMind // International Journal On Advances in Systems and Measurements, volume 10, numbers 3 and 4, 2017 // View article sysmea_v10_n34_2017_3


Pesticides Free Spectrophotometric Filters Creation For Pesticides Quantification in Various Vegetables

Authors:
Umberto Cerasani
Ennio Cerasani
Safa Boudrai
Oumy Diop

Keywords: pesticides; Vis NIR spectroscopy; Beer-Lambert’s law; Linear Regression Analysis; Microspectrometer

Abstract:
A method for estimation of food contaminants, including pesticides, is further described in this document. First, Visible Near InfraRed spectrometric measures were performed on various food samples with different levels of pollution, including pesticides free foods. Methodology and data extraction were meticulously addressed. Based on pesticides free food spectral data, pesticides free filters were created. These filters permitted pesticides isolation without the need of complex chemical procedures from foods natural occurring compounds. The removal of the natural occurring compounds in foods from their artificial counterparts was the initial step, before applying precise pesticides estimation procedures to the remaining spectral data. To accurately quantify foods pesticides contamination, two methods were developed: (1) standard Beer-lambert’s concentration law and (2) linear regression. The pesticides contamination evidenced by these two methods were very closed, with less than 3μg/mL of difference. Finally, implementation of these quantification methods in an embedded device, communicating with smartphone application is discussed allowing users to monitor food contaminants.

Pages: 124 to 138

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: December 31, 2017

Published in: journal

ISSN: 1942-261x

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