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010   $a981-15-6495-7
024 7 $a10.1007/978-981-15-6495-6
035   $a(CKB)4100000011392570
035   $a(DE-He213)978-981-15-6495-6
035   $a(MiAaPQ)EBC6313437
035   $a(PPN)250213621
035   $a(EXLCZ)994100000011392570
100   $a20200820d2020      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSpectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis /$fedited by Ashutosh Kumar Shukla
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (XI, 121 p. 43 illus., 22 illus. in color.)
311   $a981-15-6494-9 
327   $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.
330   $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.
606   $aBiomedical engineering
606   $aFood?Biotechnology
606   $aNutrition   
606   $aAnalytical chemistry
606   $aBiomedical Engineering/Biotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/B24000
606   $aFood Science$3https://scigraph.springernature.com/ontologies/product-market-codes/C15001
606   $aNutrition$3https://scigraph.springernature.com/ontologies/product-market-codes/C18000
606   $aAnalytical Chemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/C11006
606   $aAliments$2thub
606   $aQuímica analítica$2thub
606   $aIntel·ligència artificial$2thub
606   $aEspectroscòpia$2thub
608   $aLlibres electrònics$2thub
615  0$aBiomedical engineering.
615  0$aFood?Biotechnology.
615  0$aNutrition   .
615  0$aAnalytical chemistry.
615 14$aBiomedical Engineering/Biotechnology.
615 24$aFood Science.
615 24$aNutrition.
615 24$aAnalytical Chemistry.
615  7$aAliments
615  7$aQuímica analítica
615  7$aIntel·ligència artificial
615  7$aEspectroscòpia
676   $a664.07
702   $aShukla$b Ashutosh Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910416099103321
996   $aSpectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis$92538486
997   $aUNINA