Can I read Rapid Discrimination of Beer Based on Quantitative Aroma Determination Using Colorimetric Sensor Array on EtoBox?

Rapid Discrimination of Beer Based on Quantitative Aroma Determination Using Colorimetric Sensor Array by Mei Yang; Xiaodong Zhai; Xiaowei Huang; Zhihua Li; Jiyong Shi; Qi Li; Xiaobo Zou; Maurizio Battino is a Agricultural and Biological Sciences article available to read on EtoBox.

What is Rapid Discrimination of Beer Based on Quantitative Aroma Determination Using Colorimetric Sensor Array about?

In this study, 6 beers from Tsingtao Brewery were analyzed by using colorimetric GC-MS and sensor array (CSA). First, forty volatile compounds of six beers, including 16 esters, 10 alcohols, 4 acids and 4 aldehydes, were identified by GC-MS. Beers from the same category were grouped using principal component analysis (PCA) score plot and hierarchical clustering analysis (HCA) dendrogram. Discrimination of the beers was subsequently implemented using a 4 × 4 CSA combined with multivariate analysis. A linear discriminant analysis (LDA) model achieved a 100% recognition rates of the 6 beers. In addition, a partial least square (PLS) model could be used to quantitatively determine ethyl octanoate, phenethyl acetate, isoamyl alcohol and octanoic acid, with correlation coefficients over 0.85 for both the calibration curves of the training and prediction sets. Hence, CSA could be used for rapid and non-destructive determination of beer quality.

Who reads Rapid Discrimination of Beer Based on Quantitative Aroma Determination Using Colorimetric Sensor Array?

Author

Mei Yang; Xiaodong Zhai; Xiaowei Huang; Zhihua Li; Jiyong Shi; Qi Li; Xiaobo Zou; Maurizio Battino

Publisher

Elsevier BV

Published

2021

Language

EN

Field

Agricultural and Biological Sciences (Life Sciences)