Literature DB >> 29853358

Coffee arabica adulteration: Detection of wheat, corn and chickpea.

Banu Sezer1, Hakan Apaydin2, Gonca Bilge3, Ismail Hakki Boyaci4.   

Abstract

Coffee is globally one of the most widely consumed beverages. Due to the high economic importance for the countries that produce, export and import it, its purity and detection of external impurities have been constant concern. In some cases, visual inspection is unreliable in roasted ground coffee because of resemblance in color and the texture of the cheapest fillers. The objective of this work was to evaluate the feasibility of employing Laser Induced Breakdown Spectroscopy (LIBS) for determination of coffee adulteration with chickpea, corn and wheat. For this purpose, LIBS spectra was evaluated with chemometrics methods for classification and quantification of the adulteration ratio. Coefficient of determination and limit of detection values for chickpea, corn and wheat adulteration with Coffee arabica were found as 0.996, 0.995, 0.995 and 0.56%, 0.52% and 0.45%, respectively. With LIBS, prevention of unfair competition, protection of consumers and determination of coffee quality can be achieved.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chickpea; Coffee adulteration; Corn; LIBS; Wheat

Mesh:

Substances:

Year:  2018        PMID: 29853358     DOI: 10.1016/j.foodchem.2018.05.037

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  5 in total

1.  A KPI-Based Probabilistic Soft Sensor Development Approach that Maximizes the Coefficient of Determination.

Authors:  Yue Zhang; Xu Yang; Yuri A W Shardt; Jiarui Cui; Chaonan Tong
Journal:  Sensors (Basel)       Date:  2018-09-12       Impact factor: 3.576

2.  Authenticity Assessment and Fraud Quantitation of Coffee Adulterated with Chicory, Barley, and Flours by Untargeted HPLC-UV-FLD Fingerprinting and Chemometrics.

Authors:  Nerea Núñez; Javier Saurina; Oscar Núñez
Journal:  Foods       Date:  2021-04-12

Review 3.  Uses of FT-MIR Spectroscopy and Multivariate Analysis in Quality Control of Coffee, Cocoa, and Commercially Important Spices.

Authors:  Lucero Azusena Castillejos-Mijangos; Aracely Acosta-Caudillo; Tzayhrí Gallardo-Velázquez; Guillermo Osorio-Revilla; Cristian Jiménez-Martínez
Journal:  Foods       Date:  2022-02-17

4.  NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends.

Authors:  Balkis Aouadi; Flora Vitalis; Zsanett Bodor; John-Lewis Zinia Zaukuu; Istvan Kertesz; Zoltan Kovacs
Journal:  Molecules       Date:  2022-01-08       Impact factor: 4.411

Review 5.  Handheld Devices for Food Authentication and Their Applications: A Review.

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

北京卡尤迪生物科技股份有限公司 © 2022-2023.