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.
The 45 checked references that resolve
resolves10.1111/1750-3841.14617Brazilian Coffee Blends: A Simple and Fast Method by Near‐Infrared Spectroscopy for the Determination of the Sensory Attributes Elicited in Professional Coffee Cupping
resolves10.1016/j.trac.2010.05.006Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy
resolves10.1016/j.foodcont.2015.06.055Simultaneous determination by NIR spectroscopy of the roasting degree and Arabica/Robusta ratio in roasted and ground coffee
resolves10.1016/j.foodres.2018.03.077Variability of single bean coffee volatile compounds of Arabica and robusta roasted coffees analysed by SPME-GC-MS
resolves10.1080/05704928.2018.1425214Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains
resolves10.1016/j.foodchem.2018.03.039Hyperspectral imaging for non-destructive prediction of fermentation index, polyphenol content and antioxidant activity in single cocoa beans
resolves10.1016/j.foodres.2017.12.031Non-destructive analysis of sucrose, caffeine and trigonelline on single green coffee beans by hyperspectral imaging
resolves10.1002/jsfa.11116Prediction of specialty coffee flavors based on near‐infrared spectra using machine‑ and deep‐learning methods
resolves10.3390/rs12152348Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging
resolves10.1021/jf990609nPotent Odorants of Raw Arabica Coffee. Their Changes during Roasting
resolves10.1021/jf803137dApplication of Visible and Near-Infrared Reflectance Spectroscopy (Vis/NIRS) to Determine Carotenoid Contents in Banana (<i>Musa</i> spp.) Fruit Pulp
resolves10.1016/0308-8146(95)00104-2Composition of green coffee water-soluble fractions and identification of volatiles formed during roasting
resolves10.1021/jf0341767Real-Time Monitoring of 4-Vinylguaiacol, Guaiacol, and Phenol during Coffee Roasting by Resonant Laser Ionization Time-of-Flight Mass Spectrometry
resolves10.1016/j.aca.2004.08.057Prediction of sensory properties of espresso from roasted coffee samples by near-infrared spectroscopy
resolves10.1016/j.foodres.2014.02.034Effect of human saliva and sip volume of coffee brews on the release of key volatile compounds by a retronasal aroma simulator
resolves10.1002/jsfa.9293Use of odorant series for extra virgin olive oil aroma characterisation
resolves10.1093/chemse/26.5.533Evaluation of the Key Odorants of Foods by Dilution Experiments, Aroma Models and Omission
resolves10.1111/1541-4337.12595Unravelling the relationship between aroma compounds and consumer acceptance: Coffee as an example
resolves10.1016/j.jfoodeng.2016.08.015Application of Vis/NIR spectroscopy for predicting sweetness and flavour parameters of ‘Valencia’ orange (Citrus sinensis) and ‘Star Ruby’ grapefruit (Citrus x paradisi Macfad)
resolves10.1111/jfpe.13443Rapid and nondestructive monitoring for the quality of Jinhua dry‐cured ham using hyperspectral imaging and chromometer
resolves10.1016/j.lwt.2020.110201Control of the extractable content of bioactive compounds in coffee beans by near infrared hyperspectral imaging
resolves10.1021/jf960885rHyphenated Headspace-Gas Chromatography-Sniffing Technique: Screening of Impact Odorants and Quantitative Aromagram Comparisons
resolves10.1016/j.talanta.2010.11.001Chemometric models for the quantitative descriptive sensory analysis of Arabica coffee beverages using near infrared spectroscopy
resolves10.1016/j.foodchem.2016.03.114In-line monitoring of the coffee roasting process with near infrared spectroscopy: Measurement of sucrose and colour
resolves10.1021/jf070488oChanges in Key Odorants of Raw Coffee Beans during Storage under Defined Conditions
resolves10.1016/j.eaef.2015.10.003Coffee roasting degrees prediction in terms of weight loss with selected wavebands based on near-infrared spectroscopy
resolves10.1007/s12161-019-01573-wRecent Progress in Rapid Analyses of Vitamins, Phenolic, and Volatile Compounds in Foods Using Vibrational Spectroscopy Combined with Chemometrics: a Review
resolves10.1007/s00217-001-0424-7From the green bean to the cup of coffee: investigating coffee roasting by on-line monitoring of volatiles
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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