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Prediction of coffee aroma from single roasted coffee beans by hyperspectral imaging
Coffee aroma is critical for consumer liking and enables price differentiation of coffee. This study applied hyperspectral imaging (1000–2500 nm) to predict volatile compounds in single roasted coffee beans, as measured by Solid Phase Micro Extraction-Gas Chromatography-Mass Spectrometry and Gas Chr...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Applied Science Publishers
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617352/ https://www.ncbi.nlm.nih.gov/pubmed/34598115 http://dx.doi.org/10.1016/j.foodchem.2021.131159 |