000 04764cam a2200385 i 4500
001 17817427
003 OSt
005 20210826142055.0
008 130718s2014 enka b 001 0 eng
010 _a 2013026555
020 _a9781118433683 (cloth)
040 _aDLC
_beng
_cDLC
_erda
_dDLC
041 _aeng
042 _apcc
050 0 0 _aTX541
_bM42 2014
082 0 0 _a664/.07
_223
245 0 0 _aMathematical and statistical methods in food science and technology /
_cedited by Daniel Granato, Food Science and Technology Graduate Programme, State University of Ponta Grossa, Ponta Grossa, Brazil; Gaston Ares, Department of Food Science and Technology, Universidad de le Republica, Montevideo, Uruguay.
264 1 _aChichester, West Sussex, UK ;
_aHoboken, NJ :
_bWiley Blackwell,
_c2014
300 _axv, 513 pages :
_billustrations ;
_c26 cm
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 _aThe use and importance of design of experiments (DOE) in process modelling in food science and technology -- The use of correlation, association and regression to analyze processes and products -- Case study: Optimization of enzyme-aided extraction of polyphenols from unripe apples by response surface methodology -- Case study: Statistical analysis of eurycomananone yield using a full factorial design -- Applications of principal component analysis (PCA) in food science and technology -- Multiple factor analysis: presentation of the method using sensory data -- Cluster analysis: application in food science and technology -- Principal component regression (PCR) and partial least squares regression (PLSR) -- Multiway methods in food science -- Multidimensional scaling (MDS) -- Application of multivariate statistical methods during new product development -- Multivariate image analysis -- Case study: Quality control of Camellia sinesis and Ilex paraguariensis teas marketed in Brazil based on total phenolics, flavanoids and free-radical scavenging activity using chemometrics -- Statistical appproaches to develop and validate microbiological analytical methods -- Statistical approaches to the analysis of microbiological data -- Statistical modelling of anthropometric characteristics evaluated on nutritional status -- Effects of paediatric obesity : a multivariate analysis of laboratory parameters -- Development and application of predictive microbiology models in foods -- Statistical approaches for the design of sampling plans for microbiological monitoring of foods - Infrared spectroscopy detection coupled to chemometrics to characterize foodborne pathogens at a subspecies level -- Multivariate statistical quality control -- Application of neural-based algorithms as statistical tools for quality control of manufacturing processes -- An integrated approach to validation of analytical fingerprinting methods in combination with chemometric modelling for food quality assurance -- Translating randomly fluctuating QC records into the probabilities of future mishaps -- Application of statistical approaches for analysing the reliability and maintainability of food production lines: a case study of mozzarella cheese.
520 _aThis book offers accessible and practical information, suitable for readers across a range of knowledge levels and food-related disciplines, for applying statistical and mathematical technologies in food science. Its focus is on the application of complex methodologies which have been recently introduced in the field (managing physicochemical, chemical, rheological, nutritional, and sensory data) and have proven to be extremely useful in characterizing new products and processes in the food industries. Theoretical explanations, practical examples and case studies ensure that this is an easy-to-follow and comprehensive text, not just a theoretical guide for non-statisticians. It will therefore be of value to all food science professionals with varying degrees o9f statistical skill, as well as researchers, undergraduate and graduate students. – Back cover.
650 0 _aFood
_92404
650 0 _aFood contamination
_95301
650 0 _aFood supply
_xMathematics.
_95303
700 1 _aGranato, Daniel,
_eeditor of compilation.
700 1 _aAres, Gaston,
_eeditor of compilation.
776 0 8 _iOnline version:
_tMathematical and statistical methods in food science and technology
_dChichester, West Sussex, UK : John Wiley & Sons Inc., 2013
_z9781118434536
_w(DLC) 2013029654
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2lcc
_cBK
999 _c26531
_d26531