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Prediction of coffee aroma from single roasted coffee beans by hyperspectral imaging

https://doi.org/10.1016/j.foodchem.2021.131159
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Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

5 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 45 checked references that resolve
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The 5 references without a DOI — listed, not checked
no DOI — not checkedBaqueta, M. R., Caporaso, N., Coqueiro, A., & Valderrama, P. (2020) A Review of coffee quality assessment based on sensory evaluation and advanced analytical techniques. In: Innovations in Coffee Quality ISBN: 978-1-53618-223-1 Editors: Daneysa L. Kalschne et al. Nova Science Publishers, Inc.
no DOI — not checkedApplication of calibrations to hyperspectral images of food grains: Example for wheat falling number
no DOI — not checkedCoffee constituents
no DOI — not checkedFiore, A., Romaniello, R., Peri, G., & Severini, C. (2008). Quality assessment of roasted coffee blends by hyperspectral image analysis. Proceedings of 22nd International Conference on Coffee Science, Campinas, Brazil.
no DOI — not checkedFlavour of coffee. A review
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