Food Analytical Methods

, Volume 13, Issue 1, pp 44–49 | Cite as

Detection and Quantification of Adulterants in Roasted and Ground Coffee by NIR Hyperspectral Imaging and Multivariate Curve Resolution

  • Débora A. P. Forchetti
  • Ronei J. PoppiEmail author


In this work, a methodology was proposed for detection and quantification of the four main roasted and ground coffee adulterants: coffee husks, roasted and powdered corn kernels, wood sticks, and soil, based on the combination of near-infrared hyperspectral imaging and multivariate curve resolution (MCR). By using this procedure, it was possible to detect the adulterants and their confirmation was accomplished comparing the reference spectra of each adulterant with the spectra recovered by the MCR model. The methodology was suitable for the quantification of adulterants in the mixtures which ranged from 1 to 40% (w/w), with errors lower than 4%. Also, a chart control card based on the scores of the MCR was developed, in order to detect the adulterated samples in a qualitative way, without the need of concentration values.


Coffee Adulterant Near-infrared spectroscopy Hyperspectral imaging Multivariate curve resolution 


Funding Information

This study was funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (proc. 303994/2017-7) and by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES) (Finance Code 001).

Compliance with Ethical Standards

Conflict of Interest

Debora de Andrade Penteado Forchetti declares that he has no conflict of interest. Ronei Jesus Poppi declares that he has no conflict of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed Consent

Not applicable


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute of ChemistryUniversity of Campinas (UNICAMP)São PauloBrazil

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