Article

초분광 반사 영상과 부분최소제곱회귀 모델을 이용한 우유 분말에 혼합된 미량 멜라민의 함량 예측

임종국1, 김문성2, 백인석3, 모창연1,*, 이호영2, 강석원1, 이강진1, 김기영1
Jong-Guk Lim1, Moon S. Kim2, Insuck Baek3, Chang yeun Mo1,*, Hoyoung Lee2, Sukwon Kang1, Kangjin Lee1, Giyoung Kim1
Author Information & Copyright
1농촌진흥청 국립농업과학원 농업공학부
2미농무성 농업연구청
3충남대학교 바이오시스템기계공학전공
1National Academy of Agricultural Science, Rural Development Administration
2Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture
3Department of Biosystems Machinery Engineering, Chungnam National University
*Corresponding author: Changyeun Mo, Department of Agricultural Engineering, National Academy of Agricultural Sciences, Suwon 441- 100, Korea, Tel: +82-31-290-1904; Fax: +82-31-290-1900, E-mail: cymoh100@korea.kr

ⓒ Copyright 2013 Korean Society for Food Engineering. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Aug 19, 2013; Revised: Nov 13, 2013; Accepted: Nov 18, 2013

Published Online: Nov 30, 2013

Abatract

Melamine has been reported to be responsible for kidney stones and renal failure among infants and children. Conventional detection methods, High-Performance Liquid Chromatography (HPLC) and Gas Chromatography (GC), are sensitive enough to detect trace amounts of the contaminant, but they are time consuming, expensive, and laborintensive. Hyperspectral imaging methods, which combine spectroscopy and imaging, can provide rapid and nondestructive means to assess the quality and safety of agricultural products. In this study, near-infrared hyperspectral reflectance imaging combined with partial least square regression analysis was used to predict melamine particle concentration in dry milk powder. Melamine particles, with concentration levels ranging from 0.02% to 1% by weight ratio (g/g), were mixed with dry milk powder and used for the experiment. Hyperspectral reflectance images in the wavelength range from 992.0 nm to 1682.1 nm were acquired for the mixtures. Then PLSR models were developed with several preprocessing methods. Optimal wavelength bands were selected from 1454.5 nm to 1555.6 nm using beta-coefficients from the PLSR model. The best PLSR result for predicting melamine concentration in milk powder was obtained using a 1st order derivative pretreatment with Rv2=0.974, SEP=±0.055%, and F=6.

Keywords: melamine; milk powder; hyperspectral reflectance spectrum; PLSR