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020 _a9789811564956
024 7 _a10.1007/978-981-15-6495-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTX547
_b2020 EB
245 0 0 _aSpectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis
_cedited by Ashutosh Kumar Shukla
250 _aFirst edition 2020
264 1 _aSingapore
_bSpringer Singapore
_c2020
300 _a1 recurso en línea (XI, 121 páginas)
_bilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aBiomedical and Life Sciences (SpringerNature-11642)
490 0 _aBiomedical and Life Sciences (SpringerNature-43708)
505 0 _aChapter 1: Laser Induced Breakdown spectroscopy in food analysis -- Chapter 2: The use of FTIR spectroscopy combined with multivariate analysis in Food composition Analysis -- Chapter 3: Spectrophotometric methods and Electronic Spin Resonance for evaluation antioxidant capacity of food -- Chapter 4: Thermoluminescence the method for the detection of irradiated foodstuffs -- Chapter 5: Advantages of Multi-target modeling for spectral regression.
520 3 _aThis informative book discusses the various spectroscopic techniques applied in the analysis of food and beverages. The respective chapters cover techniques such as Laser-Induced Breakdown Spectroscopy (LIBS), FTIR spectroscopy, Electron Spin Resonance (ESR) spectroscopy and Thermoluminescence. The book also presents artificial intelligence applications that can be used to enhance the spectral data analysis experience in food safety and quality analysis. Given its scope, the book will appeal to novice researchers and students in the area of food science. It offers an equally exciting read for food scientists and engineers working in the food industry.
988 _aSpringer_BiomedLife_13102020
650 7 _2embne
_aAlimentos
_xAnálisis
_9171146
700 1 _aShukla, Ashutosh Kumar
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink
776 0 8 _iPrinted edition:
_z9789811564949
776 0 8 _iPrinted edition:
_z9789811564963
776 0 8 _iPrinted edition:
_z9789811564970
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-6495-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b12/2020
_dz
_ek
_zSI