Ecometabolic mixture design-fingerprints from exploratory multi-block data analysis in Coffea arabica beans from climate changes: Elevated carbon dioxide and reduced soil water availability

Food Chemistry(2021)

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摘要
•ComDim allowed exploring chemical differences in ecometabolic fingerprints in coffee.•Climate changes in beans were evaluated by UV, NIR, 1H NMR, SWV, and FT-IR datasets.•Fatty acid, caffeine, trigonelline, glucose higher for current atmospheric CO2 levels.•Elevated CO2 levels increased quinic/chlorogenic acids, malic acid, kahweol/cafestol.•Coffee beans classified by k-NN according to CO2 level and water regime treatment.
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关键词
Coffee beans,Statistical mixture design,ComDim,k-NN,Fingerprints,Ecometabolomics
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