들깨 잎의 FT-IR 스펙트럼 데이터로부터 다변량 통계분석을 이용한 생산연도 판별

• Published in: Korean journal of breeding Vol. 56; no. 1; pp. 11 - 18
• Main Authors: 서혜영(Hye-Young Seo), 서은지(Eun Ji Suh), 최은빈(Eun Bin Choi), 이미자(Mi Ja Lee), 이한결(Han Gyeol Lee), 서우덕(Woo Duck Seo), 김정인(Jung In Kim), 송승엽(Seung-Yeob Song)
• Format: Journal Article
• Language: Korean
• Published: 한국육종학회 01.03.2024; The Korean Breeding Society
• Subjects: 농학; fourier transform infrared (FT-IR) spectral analysis; partial least square discriminant analysis (PLS-DA); principal component analysis (PCA); production traceability; perilla
• ISSN: 0250-3360; 2287-5174
• DOI: 10.9787/KJBS.2024.56.1.11

This study used perilla seeds produced in 2019, 2020, and 2021 to determine the year of production using multivariate statistical analysis of Fourier-transform infrared (FTIR) spectral data of perilla leaves. Spectral analysis based on multivariate statistical analysis of whole-cell extracts was use...

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