Non-destructive Raman spectroscopy as a tool for measuring ASTA color values and Sudan I content in paprika powder

被引:34
作者
Monago-Marana, Olga [1 ,2 ]
Eskildsen, Carl Emil [3 ]
Afseth, Nils Kristian [3 ]
Galeano-Diaz, Teresa [1 ,2 ]
Munoz de la Pena, Arsenio [1 ,2 ]
Wold, Jens Petter [3 ]
机构
[1] Univ Extremadura, Dept Analyt Chem, Badajoz 06006, Spain
[2] Univ Extremadura, Res Inst Water Climate Change & Sustainabil IACYS, Badajoz 06006, Spain
[3] Nofima AS Norwegian Inst Food Fisheries & Aquacul, PB 210, N-1431 As, Norway
关键词
Raman spectroscopy; ASTA values; Sudan I; Partial least-squares regression; Partial least-squares - discriminant-analysis; MULTIVARIATE-ANALYSIS; QUALITATIVE METHODS; BIOLOGICAL SAMPLES; SCREENING TOOL; CHILI POWDERS; QUANTIFICATION; FLUORESCENCE; SPECTRA; IDENTIFICATION; ADULTERATION;
D O I
10.1016/j.foodchem.2018.08.129
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
The aim of this study was developing a non-destructive method for the determination of color in paprika powder as well as for detecting possible adulteration with Sudan I. Non-destructive Raman spectroscopy was applied directly to paprika powder employing a laser excitation of 785 nm for the first time. The fluorescence background was estimated, by fitting a polynomial to each spectrum, and then subtracted. After preprocessing the spectra, some peaks were clearly identified as characteristic from pigments present in paprika. The preprocessed Raman spectra were correlated with the ASTA color values of paprika by partial least squares regression (PLSR). Twenty-five paprika samples were adulterated with Sudan I at different levels and the PLSR model was also obtained. The coefficients of determination (R-2) were 0.945 and 0.982 for ASTA and Sudan I concentration, respectively, and the root mean square errors of prediction (RMSEP) were 8.8 ASTA values and 0.91 mg/g, respectively. Finally, different approaches were applied to discriminate between adulterated and non-adulterated samples. Best results were obtained for partial least squares - discriminant analysis (PLS-DA), allowing a good discrimination when the adulteration with Sudan I was higher than 0.5%.
引用
收藏
页码:187 / 193
页数:7
相关论文
共 44 条
[1]   Raman spectra of biological samples: A study of preprocessing methods [J].
Afseth, Nils Kristian ;
Segtnan, Vegard Herman ;
Wold, Jens Petter .
APPLIED SPECTROSCOPY, 2006, 60 (12) :1358-1367
[2]  
ASTA A. S. T. A., 2018, VOIC US SPIC IND GLO
[3]  
Bae MJ, 1998, JOURNAL OF NEAR INFRARED SPECTROSCOPY, VOL 6 1998, pA333
[4]   Classification tools in chemistry. Part 1: linear models. PLS-DA [J].
Ballabio, Davide ;
Consonni, Viviana .
ANALYTICAL METHODS, 2013, 5 (16) :3790-3798
[5]   Near-infrared Raman spectrometer systems for human tissue studies [J].
Brennan, JF ;
Wang, Y ;
Dasari, RR ;
Feld, MS .
APPLIED SPECTROSCOPY, 1997, 51 (02) :201-208
[6]  
CORDERO E, 2017, SENSORS, V17, P1
[7]   Quantification of gluten in wheat flour by FT-Raman spectroscopy [J].
Czaja, Tomasz ;
Mazurek, Sylwester ;
Szostak, Roman .
FOOD CHEMISTRY, 2016, 211 :560-563
[8]   Carotenes and carotenoids in natural biological samples: a Raman spectroscopic analysis [J].
de Oliveira, Vanessa E. ;
Castro, Harlem V. ;
Edwards, Howell G. M. ;
de Oliveira, Luiz Fernando C. .
JOURNAL OF RAMAN SPECTROSCOPY, 2010, 41 (06) :642-650
[9]   UV-Visible Spectroscopy and Multivariate Classification as a Screening Tool to Identify Adulteration of Culinary Spices with Sudan I and Blends of Sudan I plus IV Dyes [J].
Di Anibal, Carolina ;
Susana Rodriguez, Maria ;
Albertengo, Liliana .
FOOD ANALYTICAL METHODS, 2014, 7 (05) :1090-1096
[10]   UV-Visible Spectroscopy and Multivariate Classification as a Screening Tool for Determining the Adulteration of Sauces [J].
Di Anibal, Carolina V. ;
Rodriguez, Serena ;
Albertengo, Liliana ;
Susana Rodriguez, M. .
FOOD ANALYTICAL METHODS, 2016, 9 (11) :3117-3124