Novel method for the detection of adulterants in coffee and the determination of a coffee's geographical origin using near infrared spectroscopy complemented by an autoencoder

Summary Coffee authenticity is a foundational aspect of quality when considering coffee's market value. This has become important given frequent adulteration and mislabelling for economic gains. Therefore, this research aimed to investigate the ability of a deep autoencoder neural network to de...

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Veröffentlicht in:	International journal of food science & technology 2023-03, Vol.58 (3), p.1284-1298
Hauptverfasser:	Munyendo, Leah, Njoroge, Daniel, Zhang, Yanyan, Hitzmann, Bernd
Format:	Artikel
Sprache:	eng
Schlagworte:	Adulterants adulteration Authenticity autoencoder Chicory Cichorium Coffee Geographical distribution geographical origin Infrared spectroscopy Market value Near infrared radiation Neural networks NIR spectroscopy Spectrum analysis
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