2021
DOI: 10.3390/app11209577
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Evaluation of Mushrooms Based on FT-IR Fingerprint and Chemometrics

Abstract: Edible mushrooms have been recognized as a highly nutritional food for a long time, thanks to their specific flavor and texture, as well as their therapeutic effects. This study proposes a new, simple approach based on FT-IR analysis, followed by statistical methods, in order to differentiate three wild mushroom species from Romanian spontaneous flora, namely, Armillaria mellea, Boletus edulis, and Cantharellus cibarius. The preliminary data treatment consisted of data set reduction with principal component an… Show more

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“…The choice of the distance metric and the value of k are important parameters in the k-NN algorithm. Due to the non-parametric nature, it is very suitable for real data set, as in the case of classi cation of egg yolks (Feher et al 2021).…”
Section: Chemometric Analysismentioning
confidence: 99%
“…The choice of the distance metric and the value of k are important parameters in the k-NN algorithm. Due to the non-parametric nature, it is very suitable for real data set, as in the case of classi cation of egg yolks (Feher et al 2021).…”
Section: Chemometric Analysismentioning
confidence: 99%