Correlating supercritical fluid extraction parameters with volatile compounds from Finnish wild mushrooms (Craterellus tubaeformis) and yield prediction by partial least squares regression analysis. Issue 10 (31st January 2018)

• Record Type: Journal Article
• Authors: Chen, Xiao; Huynh, Nghia; Cui, Heping; Zhou, Peng; Zhang, Xiaoming; Yang, Baoru
• Is Part Of: RSC advances. Volume 8:Issue 10(2018)
• Page Start: 5233
• Page End: 5242
• Publication Date: 2018-01-31
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/c7ra12472d
• Languages: English
• ISSNs: 2046-2069

Abstract

Abstract : Prediction models of ten extracted volatile compounds were established and accurately validated by PLSR. Abstract : Supercritical fluid was applied to extract volatile compounds from Finnish wild mushrooms ( Craterellus tubaeformis ). The effects of extraction pressure, temperature and supercritical carbon dioxide volume on extraction yield and the content of mushroom alcohols in the extracts were investigated in the range from 80 to 95 bar, 35 to 55 °C and 30 to 70 mL, respectively. The correlation between extracted volatile compounds and supercritical fluid extraction parameters was studied and prediction models of ten extracted aroma compounds were established by partial least squares regression (PLSR). The calibrated and validated models of 2-octen-1-ol ( R _cal = 0.96, R _cal 2 = 0.91, R _val = 0.94, R _val 2 = 0.88) and geranyl acetone ( R _cal = 0.96, R _cal 2 = 0.92, R _val = 0.95, R _val 2 = 0.90) were satisfactory, and had the predictive capability of 88% and 92%, respectively. Moreover, the predictive equations for other extracted aroma compounds were also proved to be sufficiently accurate. Hence, the present study provides useful reference for extraction of volatile compounds from mushrooms using supercritical fluid for further industrial applications.