Prediction of valid acidity in intact apples with Fourier transform near infrared spectroscopy

Journal of Zhejiang University: Science

Volumn 6 B, Issue 3, 2005, Pages 158-164

  Liu, Yan De ^a,b   Ying, Yi Bin ^a   Fu, Xia Ping ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b JIANGXI AGRICULTURAL UNIVERSITY   (China)

Author keywords

Apples; FT NIR; Multivariate analysis; Nondestructive prediction; Valid acidity

Indexed keywords

ACIDITY; FIBER OPTICS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; NONDESTRUCTIVE EXAMINATION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

FOURIER TRANSFORM NEAR INFRARED (FT-NIR); INTACT FUJI APPLES; INTERACTANCE MODE; MULTIVARIATE CALIBRATION TECHNIQUES; NONDESTRUCTIVE ACIDITY PREDICTION; PARTIAL LEAST SQUARES (PLS); PRINCIPAL COMPONENT REGRESSION (PCR); ROOT MEAN SQUARE ERROR OF PREDICTION (RMSEP); VALID ACIDITY PREDICTION;

FRUITS;

ALGORITHM; APPLE; ARTICLE; CHEMICAL MODEL; CHEMISTRY; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER SIMULATION; EVALUATION; FOOD ANALYSIS; FRUIT; INFRARED SPECTROSCOPY; MATHEMATICAL COMPUTING; METHODOLOGY; PH; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; COMPUTER SIMULATION; FOOD ANALYSIS; FRUIT; HYDROGEN-ION CONCENTRATION; LEAST-SQUARES ANALYSIS; MALUS; MODELS, CHEMICAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, FOURIER TRANSFORM INFRARED;

EID: 14744285113     PISSN: 10093095     EISSN: None     Source Type: Journal    
DOI: 10.1631/jzus.2005.B0158     Document Type: Article

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