Open AccessQuantitative of pesticide residue on the surface of navel orange by confocal microscopy Raman spectrometer
Author(s) -
Yande Liu,
Bingbing He
Publication year - 2015
Publication title -
journal of innovative optical health sciences/journal of innovation in optical health science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 24
eISSN - 1793-5458
pISSN - 1793-7205
DOI - 10.1142/s1793545815500017
Subject(s) - raman spectroscopy , navel orange , confocal , pesticide residue , partial least squares regression , analytical chemistry (journal) , chemistry , pesticide , chromatography , optics , mathematics , agronomy , statistics , physics , horticulture , biology
The potential of Confocal micro-Raman spectroscopy in the quantitative analysis of pesticide (Chlorpyrifos, Omethoate) residues on orange surface is investigated in this work. Quantitative analysis models were established by partial least squares (PLS) using different preprocessing methods (Smoothing, First derivative, MSC, Baseline) for pesticide residues. For pesticide residues, the higher correlation coefficients (r) is 0.972 and 0.943, the root mean square error of prediction (RMSEP) is 2.05% and 2.36%, respectively. It is therefore clear that Confocal micro-Raman spectroscopy techniques enable rapid, nondestructive and reliable measurements, so Raman spectrometry appears to be a promising tool for pesticide residues