DocumentCode :
2636183
Title :
Classification of pesticide residues in the agricultural products based on diffuse reflectance IR spectroscopy
Author :
Makio, Tsukioka ; Hiroaki, Ishizawa ; Tomohiro, Takano ; Hisaya, Yamada ; Kumiko, Nakagawa ; Nobuaki, Tanaka
Author_Institution :
Shinhu Univ., Nagano
fYear :
2007
fDate :
17-20 Sept. 2007
Firstpage :
216
Lastpage :
219
Abstract :
This paper describes the classification of pesticide residues in the agricultural products based on the Fourier transform infrared diffuse reflectance spectroscopy (FT-IR-DRS) for food safety inspection. FT-IR-DRS is a nondestructive measurement method to be able to measure the spectrum of sample rapidly. Spectra of strawberries measured by FT-IR-DRS were categorized into four classes based on the concentration of the pesticide residue, and the classification model of spectra was constructed by soft independent modeling of class analogy (SIMCA). The concentration of pesticide residues of unknown samples was evaluated by applying the spectra of unknown samples to the classification model.
Keywords :
agricultural products; agrochemicals; food safety; infrared spectroscopy; pest control; Fourier transform; agricultural product; class analogy; food safety inspection; infrared diffuse reflectance spectroscopy; nondestructive measurement; pesticide residue classification; soft independent modeling; spectrum measurement; strawberry spectra measurement; Agricultural products; Food technology; Fourier transforms; Infrared spectra; Mirrors; Product safety; Reflectivity; Spectroscopy; Spraying; Textiles; Fourier transform infrared diffuse reflectance spectroscopy (FT-IR-DRS); pesticide residues Soft independent modeling of class analogy (SIMCA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
Type :
conf
DOI :
10.1109/SICE.2007.4420979
Filename :
4420979
Link To Document :
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