Sugar and acid content of Citrus prediction modeling using FT-IR fingerprinting in combination with multivariate statistical analysis

Food Chemistry

Volumn 190, Issue , 2016, Pages 1027-1032

  Song, Seung Yeob ^a   Lee, Young Koung ^b   Kim, In Jung ^a  

^a Jeju National University   (South Korea)

^b Howard Hughes Medical Institute Cold Spring Harbor Laboratory Cold Spring Harbor   (United States)

Author keywords

Acid content; Fourier transform infrared (FT IR); Partial least square discriminant analysis; Partial least squares regression; Principal component analysis; Sugar content

Indexed keywords

CITRUS FRUITS; DISCRIMINANT ANALYSIS; DRUG PRODUCTS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; MULTIVARIANT ANALYSIS; REGRESSION ANALYSIS;

ACID CONTENT; FOURIER TRANSFORM INFRARED; PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST SQUARES REGRESSION; SUGAR CONTENT;

PRINCIPAL COMPONENT ANALYSIS;

ACID; SUGAR; CARBOHYDRATE;

ARTICLE; CITRUS; CITRUS FRUIT; CONTROLLED STUDY; FOOD COMPOSITION; HIGH THROUGHPUT SCREENING; INFRARED SPECTROSCOPY; MULTIVARIATE ANALYSIS; NONHUMAN; PREDICTION; PREDICTIVE VALUE; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE ANALYSIS; STATISTICAL MODEL; TAXONOMY; CHEMISTRY; DISCRIMINANT ANALYSIS; PROCEDURES; REGRESSION ANALYSIS;

CITRUS;

CARBOHYDRATES; CITRUS; DISCRIMINANT ANALYSIS; HIGH-THROUGHPUT SCREENING ASSAYS; LEAST-SQUARES ANALYSIS; SPECTROSCOPY, FOURIER TRANSFORM INFRARED;

EID: 84934908891     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2015.06.068     Document Type: Article

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