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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Authentication of roasted and ground coffee samples containing multiple adulterants using NMR and a chemometric approach

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Author(s):
Milani, Maria Izabel [1] ; Rossini, Eduardo Luiz [1] ; Catelani, Tiago Augusto [1] ; Pezza, Leonardo [1] ; Toci, Aline Theodoro [2] ; Pezza, Helena Redigolo [1]
Total Authors: 6
Affiliation:
[1] Univ Estadual Paulista, Inst Quim, UNESP, Rua Prof Francisco Degni 55, BR-14800900 Araraquara, SP - Brazil
[2] Univ Fed Interacao Latino Amer, UNILA, Ist Latino Amer Ciencias Vida & Nat, Av Tancredo News 6731, CP 2044, BR-85867970 Foz Do Iguacu, PR - Brazil
Total Affiliations: 2
Document type: Journal article
Source: FOOD CONTROL; v. 112, JUN 2020.
Web of Science Citations: 2
Abstract

Brazil is still the world's largest producer and exporter of coffee. In order to maximize profits, some producers may add lower cost materials (such as corn, barley, or even coffee husks) to commercial coffee. In view of the growing market for coffee products and the importance of coffee for the Brazilian economy, it is necessary to have a rapid, simple, and reliable methodology to identify and quantify coffee adulterants. NMR has proved to be a versatile and robust tool for the identification of adulterants in foods and beverages. Here, we explore the versatility of H-1 NMR assisted with chemometric tools, avoiding laborious data analysis, for the quantification of coffee adulteration. Six different adulterants were considered: barley, corn, coffee husks, soybean, rice, and wheat. The NMR-based methodology described here provided satisfactory LOD values (0.31-0.86%) for adulterants in medium and dark roast coffees. The statistical techniques PCA and SIMCA were employed for pattern recognition and the identification of pure and adulterated samples. Use of the SIMCA model enabled 100% correct classification for both training and prediction sets, ensuring the accuracy, traceability, and reliability of the results. (AU)

FAPESP's process: 16/14773-0 - Development of methods to detect adulteration in roasted coffee and oil coffee
Grantee:Maria Izabel Milani
Support Opportunities: Scholarships in Brazil - Doctorate