Authentication of Roasted Coffee Beans via LIBS: Statistical Principal Component Analysis

被引:10
作者
Alkallas, Fatemah H. [1 ]
Mostafa, Ayman M. [2 ,3 ]
Rashed, Effat A. [4 ]
Trabelsi, Amira Ben Gouider [1 ]
Essawy, M. A. I. [5 ]
Rezk, Reham A. [5 ]
机构
[1] Princess Nourah Bint Abdulrahman Univ, Coll Sci, Dept Phys, POB 84428, Riyadh 11671, Saudi Arabia
[2] Qassim Univ, Coll Sci, Dept Phys, Buraydah 51452, Saudi Arabia
[3] Natl Res Ctr, Phys Res Inst, Spect Dept, 33 El Bohouth St, Dokki 12622, Giza, Egypt
[4] Umm Al Qura Univ, Fac Sci, Phys Dept, Mecca 24382, Saudi Arabia
[5] Higher Technol Inst, October Branch 6, 3rd Zone,7 Sect,POB 4, 6th of October City, Giza, Egypt
关键词
laser-induced breakdown spectroscopy; principal component analysis; roasted coffee beans; optical properties; laser ablation; detection method; chemical analysis; INDUCED BREAKDOWN SPECTROSCOPY; INFRARED-SPECTROSCOPY; QUALITY; PROGRESS;
D O I
10.3390/coatings13101790
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Great efforts are constantly being made by industry-specific coffee agencies to standardize the certification of coffee quality. In consequence, international trade requires quick and reliable analyses because of their high cost, the risk of misclassification, the difficulty of large-scale analysis, and, most importantly, the subjectivity generated by tasters. A powerful analytical method that can be used to accurately evaluate and identify coffee varieties is Laser-Induced Breakdown Spectroscopy (LIBS). In this study, it provided a quick, cost-effective, and residue-free method commonly used in laboratories for direct analysis, determining multi-elemental composition, and exploring the organic composition of roasted coffee. The mineral composition of eight varieties of pure roasted coffee was determined using a pulsed nanosecond laser produced from a Nd:YAG laser at 1064 nm. The most important spectral variables for coffee variety identification were sequestered using LIBS coupled with a chemometric-tool-based principal component analysis (PCA). The nine main wavelengths chosen corresponded to the elements of C(I), Mg(II, I), Ca(II), Fe(I), K(I), H(I), and O(I), in addition to the CN group. The overall findings indicated that using LIBS to identify coffee varieties is feasible based on a simple, quick, and eco-friendly strategy without the requirement for complex preparation or wasting time in preparation. Such studies can help to protect the coffee market and businesses by certifying product quality. Using LIBS and full statistical illustrations with PCA, the prevention of unfair competition, protection of consumers, and determination of coffee quality can be achieved.
引用
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页数:15
相关论文
共 30 条
[1]  
Alresawum Y., 2016, Laser Induced Breakdown Spectroscopy (LIBS) Coupled with Multivariate Chemometric Method for Characterization and Quality Control of Ethiopian Coffee and Herbal Medicines
[2]   Recognition of Spectral Identifier from Green Coffee Beans of Arabica and Robusta Varieties Using Laser-Induced Breakdown Spectroscopy [J].
Anggraeni, Karina ;
Nasution, Aulia ;
Suyanto, Hery .
SECOND INTERNATIONAL SEMINAR ON PHOTONICS, OPTICS, AND ITS APPLICATIONS (ISPHOA 2016), 2016, 10150
[3]   Uses of FT-MIR Spectroscopy and Multivariate Analysis in Quality Control of Coffee, Cocoa, and Commercially Important Spices [J].
Azusena Castillejos-Mijangos, Lucero ;
Acosta-Caudillo, Aracely ;
Gallardo-Velazquez, Tzayhri ;
Osorio-Revilla, Guillermo ;
Jimenez-Martinez, Cristian .
FOODS, 2022, 11 (04)
[4]  
Cremers DA, 2013, HANDBOOK OF LASER-INDUCED BREAKDOWN SPECTROSCOPY, 2ND EDITION, P1, DOI 10.1002/9781118567371
[5]   Laser-Induced Breakdown Spectroscopy and Principal Component Analysis for the Classification of Spectra from Gold-Bearing Ores [J].
Diaz, Daniel ;
Molina, Alejandro ;
Hahn, David W. .
APPLIED SPECTROSCOPY, 2020, 74 (01) :42-54
[6]   Analysis of Volatile Compounds, Composition, and Thermal Behavior of Coffee Beans According to Variety and Roasting Intensity [J].
Dippong, Thomas ;
Dan, Monica ;
Kovacs, Melinda Haydee ;
Kovacs, Emoke Dalma ;
Levei, Erika Andrea ;
Cadar, Oana .
FOODS, 2022, 11 (19)
[7]  
Divis P., 2019, J. Food Sci, V13, P1
[8]   A Near-Infrared Reflectance Spectroscopy Method for Direct Analysis of Several Chemical Components and Properties of Fruit, for Example, Chinese Hawthorn [J].
Dong, Wenjiang ;
Ni, Yongnian ;
Kokot, Serge .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2013, 61 (03) :540-546
[9]   Good practices in LIBS analysis: Review and advices [J].
El Haddad, J. ;
Canioni, L. ;
Bousquet, B. .
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, 2014, 101 :171-182
[10]   Random subspace method for analysing coffee with electronic tongue [J].
Ferreira, E. J. ;
Pereira, R. C. T. ;
Delbem, A. C. B. ;
Oliveira, O. N., Jr. ;
Mattoso, L. H. C. .
ELECTRONICS LETTERS, 2007, 43 (21) :1138-1140