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Nondestructive Prediction of Isoflavones and Oligosaccharides in Intact Soybean Seed Using Fourier Transform Near-Infrared (FT-NIR) and Fourier Transform Infrared (FT-IR) Spectroscopic Techniques.
Amanah, Hanim Z; Tunny, Salma Sultana; Masithoh, Rudiati Evi; Choung, Myoung-Gun; Kim, Kyung-Hwan; Kim, Moon S; Baek, Insuck; Lee, Wang-Hee; Cho, Byoung-Kwan.
Affiliation
  • Amanah HZ; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea.
  • Tunny SS; Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Gadjah Mada University, Yogyakarta 55281, Indonesia.
  • Masithoh RE; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea.
  • Choung MG; Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Gadjah Mada University, Yogyakarta 55281, Indonesia.
  • Kim KH; Department of Herbal Medicine Resource, Dogye Campus, Kangwon National University, Samcheok 25949, Korea.
  • Kim MS; Department of Gene Engineering, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Korea.
  • Baek I; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Powder Mill Road, BARC-East, Bldg 303, Beltsville, MD 20705, USA.
  • Lee WH; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Powder Mill Road, BARC-East, Bldg 303, Beltsville, MD 20705, USA.
  • Cho BK; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea.
Foods ; 11(2)2022 Jan 16.
Article in En | MEDLINE | ID: mdl-35053964

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Foods Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Foods Year: 2022 Document type: Article