Application of partial least-squares regression to near-infrared reflectance spectroscopic determination of shive content in flax

Applied Spectroscopy

Volumn 57, Issue 5, 2003, Pages 551-556

  Sohn, Miryeong ^a   Barton II, Franklin E ^a   Morrison III, Wiley H ^a   Archibald, Douglas D ^b  

^a RUSSELL RESEARCH CENTER   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Chemometrics; Flax fiber; Near infrared spectroscopy; NIRS; Shive

Indexed keywords

ALGORITHMS; CALIBRATION; ENZYMES; FLAX; INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; REGRESSION ANALYSIS;

CHEMOMETRICES;

SPECTROSCOPIC ANALYSIS;

ALGORITHMS; ENZYMES; FLAX; INFRARED SPECTROSCOPY; REGRESSION ANALYSIS;

PLANT EXTRACT;

ALGORITHM; ARTICLE; CHEMICAL MODEL; CHEMISTRY; CLASSIFICATION; COMPARATIVE STUDY; EVALUATION; FLAX; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; PLANT STEM; QUALITY CONTROL; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STANDARD; TEXTILE; TEXTILE INDUSTRY; VALIDATION STUDY;

ALGORITHMS; FLAX; LEAST-SQUARES ANALYSIS; MODELS, CHEMICAL; PLANT EXTRACTS; PLANT STEMS; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, NEAR-INFRARED; TEXTILE INDUSTRY; TEXTILES;

EID: 0038030015     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/000370203321666588     Document Type: Article

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