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Discrimination and prediction of the origin of Chinese and Korean soybeans using Fourier transform infrared spectrometry (FT-IR) with multivariate statistical analysis.
Lee, Byeong-Ju; Zhou, Yaoyao; Lee, Jae Soung; Shin, Byeung Kon; Seo, Jeong-Ah; Lee, Doyup; Kim, Young-Suk; Choi, Hyung-Kyoon.
Affiliation
  • Lee BJ; College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
  • Zhou Y; College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
  • Lee JS; College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
  • Shin BK; National Agricultural Products Quality Management Service, Gimcheon, Republic of Korea.
  • Seo JA; School of Systems Biomedical Science, Soongsil University, Seoul, Republic of Korea.
  • Lee D; Department of Bio and Fermentation Convergence Technology, Kookmin University, Seoul, Republic of Korea.
  • Kim YS; Department of Food Science and Engineering, Ewha Womans University, Seoul, Republic of Korea.
  • Choi HK; College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
PLoS One ; 13(4): e0196315, 2018.
Article in En | MEDLINE | ID: mdl-29689113
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Glycine max / Genetic Speciation Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2018 Document type: Article Country of publication: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Glycine max / Genetic Speciation Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2018 Document type: Article Country of publication: Estados Unidos