Near infrared spectroscopy to evaluate composition of agro-based particleboards

BioResources

Volumn 4, Issue 3, 2009, Pages 1058-1069

  Maioli Campos, Ana Carolina ^a   Hein, Paulo Ricardo Gherardi ^b   Mendes, Rafael Farinassi ^a   Mendes, Lourival Marin ^a   Chaix, Gilles ^b  

^a FEDERAL UNIVERSITY OF LAVRAS   (Brazil)

^b CIRAD   (France)

Author keywords

Calibration; Cane bagasse; Composition; Eucalyptus; Near infrared spectroscopy; Particleboard; Pinus

Indexed keywords

CANE BAGASSE; CELLULOSIC MATERIAL; COEFFICIENT OF DETERMINATION; COMPOSITION; CROSS VALIDATION; EUCALYPTUS; INDUSTRIAL PROCESSS; NIR SPECTROSCOPY; PARTIAL LEAST-SQUARE REGRESSION; PINUS; PLS MODELS; PREDICTIVE MODELS; QUALITY CONTROL TOOL; ROBUST MODELS; STANDARD ERRORS; SUGAR-CANE BAGASSE; WOOD PARTICLES;

BAGASSE; CALIBRATION; ERRORS; INFRARED DEVICES; MODEL PREDICTIVE CONTROL; NEAR INFRARED SPECTROSCOPY; PARTICLE BOARD; QUALITY ASSURANCE; QUALITY CONTROL; QUALITY FUNCTION DEPLOYMENT; SPECTROSCOPIC ANALYSIS; SUGAR (SUCROSE); SUGAR CANE; SUGARS; TOTAL QUALITY MANAGEMENT; VOLTAGE MEASUREMENT;

INFRARED SPECTROSCOPY;

BAGASSE; EUCALYPTUS; INFRARED SPECTROSCOPY; PARTICLE BOARDS; PINUS; QUALITY CONTROL; SUGAR; SUGAR CANE;

EUCALYPTUS; SACCHARUM;

EID: 68649122368     PISSN: None     EISSN: 19302126     Source Type: Journal    
DOI: None     Document Type: Article

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