Multivariate data analysis as a tool in advanced quality monitoring in the food production chain
- 1 June 2002
- journal article
- other
- Published by Elsevier in Trends in Food Science & Technology
- Vol. 13 (6-7) , 235-244
- https://doi.org/10.1016/s0924-2244(02)00138-3
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- New approaches to rapid spectroscopic evaluation of properties in pectic polymersPublished by Springer Nature ,2008
- FULL UNIAXIAL COMPRESSION CURVES FOR PREDICTING SENSORY TEXTURE QUALITY OF COOKED POTATOESJournal of Texture Studies, 2002
- Exploring complex interactions in designed data using GEMANOVA. Color changes in fresh beef during storageJournal of Chemometrics, 2002
- Study of NIR Spectra, Particle Size Distributions and Chemical Parameters of Wheat Flours: A Multi-Way ApproachJournal of Near Infrared Spectroscopy, 2001
- Multi-way chemometrics for mathematical separation of fluorescent colorants and colour precursors from spectrofluorimetry of beet sugar and beet sugar thick juice as validated by HPLC analysisFood Chemistry, 2000
- Quality Evaluation of Chocolate by using Near Infrared Spectroscopy.Nippon Shokuhin Kagaku Kogaku Kaishi, 2000
- Non-destructive spectroscopic techniques for the measurement of food qualityTrends in Food Science & Technology, 1997
- The state of the art in authenticity testingTrends in Food Science & Technology, 1995
- A multivariate chemometric approach to fluorescence spectroscopyTalanta, 1995
- Multivariate exploratory data analysis and graphics: A tutorialJournal of Chemometrics, 1993