title: Sugar and acid content of Citrus prediction modeling using FT-IR fingerprinting in combination with multivariate statistical analysis.
abstract: A high-throughput screening system for Citrus lines were established with higher sugar and acid contents using Fourier transform infrared (FT-IR) spectroscopy in combination with multivariate analysis. FT-IR spectra confirmed typical spectral differences between the frequency regions of 950-1100 cm(-1), 1300-1500 cm(-1), and 1500-1700 cm(-1). Principal component analysis (PCA) and subsequent partial least square-discriminant analysis (PLS-DA) were able to discriminate five Citrus lines into three separate clusters corresponding to their taxonomic relationships. The quantitative predictive modeling of sugar and acid contents from Citrus fruits was established using partial least square regression algorithms from FT-IR spectra. The regression coefficients (R(2)) between predicted values and estimated sugar and acid content values were 0.99. These results demonstrate that by using FT-IR spectra and applying quantitative prediction modeling to Citrus sugar and acid contents, excellent Citrus lines can be early detected with greater accuracy.
authors.affiliation: Faculty of Biotechnology, College of Applied Life Sciences, Jeju National University, Jeju 690-756, Republic of Korea.
authors.forename: Seung Yeob
authors.initials: SY
authors.lastname: Song
authors.affiliation: 1 Bungtown Rd., Cold Spring Harbor Laboratory, NY 11724, USA.
authors.forename: Young Koung
authors.initials: YK
authors.lastname: Lee
authors.affiliation: Faculty of Biotechnology, College of Applied Life Sciences, Jeju National University, Jeju 690-756, Republic of Korea; Research Institute for Subtropical Agriculture and Biotechnology, SARI, Jeju National University, Jeju 690-756, Republic of Korea. Electronic address: ijkim@jejunu.ac.kr.
authors.forename: In-Jung
authors.initials: IJ
authors.lastname: Kim
mesh_terms: D002241:Carbohydrates / Q000032:analysis*; D002957:Citrus / Q000737:chemistry*; D016002:Discriminant Analysis; D057166:High-Throughput Screening Assays; D016018:Least-Squares Analysis; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*
chemical_list: D002241:Carbohydrates
keywords: Acid content; Fourier transform infrared (FT-IR); Partial least square-discriminant analysis; Partial least squares regression; Principal component analysis; Sugar content