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Discrimination of Korean Domestic and Foreign Soybeans using Near Infrared Reflectance Spectroscopy

근적외선분광광도계(NIRS)를 이용한 국내산 콩과 수입콩의 판별분석

  • Received : 2012.07.30
  • Accepted : 2012.09.06
  • Published : 2012.09.30

Abstract

Discrimination of geographic origin of agricultural products is a important issue in Korea because the price difference between Korean domestic and imported cereals is a key among some reasons. NIRS (Near Infrared Reflectance Spectroscopy) has been applied to classify the geographical origin of soybeans. Total 135 samples (Korean domestic 92 and foreign 43) were used to obtain calibration equation through 400~2,500 nm wavelength. The math treatment with 1st derivative and 4 nm gap and the modified partial least squares(MPLS)regression was outstanding for calibration equation. The standard error of calibration and determination coefficient in calibration set(n=115) was 6.65 and 0.98, respectively. And it showed that the extra 20 samples for validation equation were identified their authentication correctly. This study describes that the application of NIRS would be possible for discrimination of geographical origin between Korean domestic and imported soybeans.

Keywords

soybean;NIRS;geographical origin;math treatment;MPLS regression

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