메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
김석원 (한국생명공학연구원) 안명숙 (한국생명공학연구원) 권용국 (Daegu Regional Food and Drug Administration) 송승엽 (한국생명공학연구원) 김재광 (인천대학교) 하선화 (경희대학교) 김인중 (제주대학교) 유장렬 (한국생명공학연구원)
저널정보
한국식물생명공학회 Plant Biotechnology Reports Plant Biotechnology Reports 제9권 제4호
발행연도
2015.7
수록면
247 - 258 (12page)
DOI
10.1007/s11816-015-0361-8

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
This work examined the potential of Fourier transform infrared spectroscopy (FT-IR) spectroscopy and high-performance liquid chromatography (HPLC) analysis in evaluating metabolic changes during ripening of citrus fruit. Further, the feasibility of prediction modeling of carotenoid content by multivariate statistical analysis combined with FT-IR spectral and HPLC data was examined without additional HPLC analysis. FT-IR spectra of citrus (Citrus unshiu Marc. cv. Miyagawa) fruit peels and flesh were measured at monthly intervals of fruit development. Quantification of carotenoids from the fruit was confirmed by quantitative HPLC analysis. The most remarkable evolution of FT-IR spectral decrease during ripening of fruit was found in the amide region (1500?1700 cm-1), whereas there was an increase in the carbohydrate region (1000?1200 cm-1). The evolution of different FT-IR spectral bands was related to fruit constituents, including organic acids, carbohydrates, carotenoids, and phenolic compounds. Significant qualitative changes in the carotenoid pattern included an increase in bcryptoxanthin and decrease in lutein content during citrus fruit development. The content of antheraxanthin (R2 = 0.9117), β-carotene (R2 = 0.8816), β-cryptoxanthin (R2 = 0.8856), and violaxanthin (R2 = 0.7305) from peels of citrus fruit could be predicted from FT-IR spectral data using partial least square (PLS) regression modeling. Considering the results of PLS-discriminant analysis (PLSDA) of FT-IR spectral data and PLS regression modeling of carotenoid content, FT-IR in combination with multivariate analysis enables not only discrimination of metabolic variation during fruit development, but also prediction of carotenoid content from citrus fruit.

목차

등록된 정보가 없습니다.

참고문헌 (34)

참고문헌 신청

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0