Literature DB >> 28917795

Portable near infrared spectroscopy applied to quality control of Brazilian coffee.

Radigya M Correia1, Flavia Tosato1, Eloilson Domingos1, Rayza R T Rodrigues1, Luiz Felipe M Aquino2, Paulo R Filgueiras1, Valdemar Lacerda1, Wanderson Romão3.   

Abstract

The use of portable micro-spectrometers such as a micro near infrared region (microNIR) spectrometer is a promising technique for solving analytical problems in several areas of science. This work evaluated the potential of microNIR in quality control of Arabica coffee. Arabica coffee has a high commercial value product, motivating the development of analytical methods with high sensitivity and accuracy for detection of its adulteration. Herein, microNIR was successfully used to determine the quality of Arabica coffee by identification and quantification of adulterations such as Robusta coffee (in different roasting levels), as well as corn, peels, and sticks. MicroNIR was combined with multivariate calibration by partial least squares (PLS) and principal component analysis (PCA). A total of 125 blends were produced, containing thirteen different concentrations of the adulterants (corn and peels/sticks, and the Robusta coffee) ranging from 1 to 100wt%. Developed PCA and PLS models were also applied to monitor the quality of sixteen commercial coffee samples. The results obtained using microNIR proved the ability of the method to be efficient and capable in the prediction of adulterations with minimum quantification levels (LOQs of 5-8wt%), being able to be applied to quality control of commercial coffee samples. Therefore, microNIR can reduce and simplify the time of analysis and sample preparation step, as well as to guarantee the efficiency of real-time data acquisition owing to its portability.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adulteration; Coffee; MicroNIR; PCA; PLS

Mesh:

Year:  2017        PMID: 28917795     DOI: 10.1016/j.talanta.2017.08.009

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  9 in total

Review 1.  Application of near-infrared spectroscopy to agriculture and forestry.

Authors:  Satoru Tsuchikawa; Te Ma; Tetsuya Inagaki
Journal:  Anal Sci       Date:  2022-03-26       Impact factor: 2.081

Review 2.  Miniaturized NIR Spectroscopy in Food Analysis and Quality Control: Promises, Challenges, and Perspectives.

Authors:  Krzysztof B Beć; Justyna Grabska; Christian W Huck
Journal:  Foods       Date:  2022-05-18

3.  Discrimination of Falsified Erectile Dysfunction Medicines by Use of an Ultra-Compact Raman Scattering Spectrometer.

Authors:  Tomoko Sanada; Naoko Yoshida; Kazuko Kimura; Hirohito Tsuboi
Journal:  Pharmacy (Basel)       Date:  2020-12-24

4.  Near-Infrared Spectroscopy Applied to the Detection of Multiple Adulterants in Roasted and Ground Arabica Coffee.

Authors:  Cinthia de Carvalho Couto; Otniel Freitas-Silva; Edna Maria Morais Oliveira; Clara Sousa; Susana Casal
Journal:  Foods       Date:  2021-12-28

5.  Origin geographical classification of green coffee beans (Coffea a rabica L.) produced in different regions of the Minas Gerais state by FT-MIR and chemometric.

Authors:  Geissy de Azevedo Mendes; Marcone Augusto Leal de Oliveira; Mirian Pereira Rodarte; Virgílio de Carvalho Dos Anjos; Maria Jose Valenzuela Bell
Journal:  Curr Res Food Sci       Date:  2022-01-31

6.  Detecting Low Concentrations of Nitrogen-Based Adulterants in Whey Protein Powder Using Benchtop and Handheld NIR Spectrometers and the Feasibility of Scanning through Plastic Bag.

Authors:  John-Lewis Zinia Zaukuu; Balkis Aouadi; Mátyás Lukács; Zsanett Bodor; Flóra Vitális; Biborka Gillay; Zoltan Gillay; László Friedrich; Zoltan Kovacs
Journal:  Molecules       Date:  2020-05-28       Impact factor: 4.411

7.  Insight into Rapid DNA-Specific Identification of Animal Origin Based on FTIR Analysis: A Case Study.

Authors:  Yahong Han; Lin Jian; Yumei Yao; Xinlei Wang; Lujia Han; Xian Liu
Journal:  Molecules       Date:  2018-11-01       Impact factor: 4.411

8.  Fluidised bed granulation of two APIs: QbD approach and development of a NIR in-line monitoring method.

Authors:  Alexandru Gavan; Sonia Iurian; Tibor Casian; Alina Porfire; Sebastian Porav; Ioana Voina; Alexandru Oprea; Ioan Tomuta
Journal:  Asian J Pharm Sci       Date:  2019-06-16       Impact factor: 6.598

Review 9.  Handheld Devices for Food Authentication and Their Applications: A Review.

Authors:  Judith Müller-Maatsch; Saskia M van Ruth
Journal:  Foods       Date:  2021-11-23
  9 in total

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