Quantification of Coffea arabica and Coffea canephora var. robusta concentration in blends by means of synchronous fluorescence and UV-Vis spectroscopies

Talanta

Volumn 172, Issue , 2017, Pages 215-220

  Dankowska, A ^a   Domagala A ^a   Kowalewski, W ^b  

^a POZNA UNIVERSITY OF ECONOMICS AND BUSINESS   (Poland)

^b ADAM MICKIEWICZ UNIVERSITY   (Poland)

Author keywords

Coffee authenticity; Data fusion; Fluorescence spectroscopy; Food fraud; Multivariate data analysis; UV Vis spectroscopy

Indexed keywords

BINARY ALLOYS; CLASSIFICATION (OF INFORMATION); DATA FUSION; FLUORESCENCE; FLUORESCENCE SPECTROSCOPY; LINEAR REGRESSION; MEAN SQUARE ERROR; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SPECTRUM ANALYSIS; ULTRAVIOLET SPECTROSCOPY; ULTRAVIOLET VISIBLE SPECTROSCOPY; VALUE ENGINEERING;

COFFEE AUTHENTICITIES; FLUORESCENCE INTENSITIES; FLUORESCENCE INTENSITY MEASUREMENT; MULTIPLE LINEAR REGRESSIONS; MULTIVARIATE DATA ANALYSIS; ROOT MEAN SQUARE ERROR OF CALIBRATIONS; SYNCHRONOUS FLUORESCENCE; UV-VIS SPECTROSCOPY;

COFFEE;

CHEMISTRY; COFFEA; COFFEE; FOOD ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; SPECTROFLUOROMETRY; STATISTICAL MODEL; ULTRAVIOLET SPECTROPHOTOMETRY;

COFFEA; COFFEE; FOOD ANALYSIS; LINEAR MODELS; PRINCIPAL COMPONENT ANALYSIS; SPECTROMETRY, FLUORESCENCE; SPECTROPHOTOMETRY, ULTRAVIOLET;

EID: 85019893621     PISSN: 00399140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.talanta.2017.05.036     Document Type: Article

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