Login / Signup

Detection and identification of fungal growth on freeze-dried Agaricus bisporus using spectra and olfactory sensors.

Liuqing WangQiuhui HuFei PeiMariga Alfred MugambiWenjian Yang
Published in: Journal of the science of food and agriculture (2020)
Principal component analysis (PCA) and PLSR models based on full spectra of HSI can achieve good discrimination results for these five fungi on plates. Moreover, NIR, MIR, and the E-nose were proven to be effective in monitoring fungal contamination on freeze-dried A. bisporus. However, NIR could be a more accurate method. © 2020 Society of Chemical Industry.
Keyphrases