title: Using FT-NIR spectroscopy technique to determine arginine content in fermented Cordyceps sinensis mycelium.
abstract: This research investigated the feasibility of using Fourier transform near-infrared (FT-NIR) spectral technique for determining arginine content in fermented Cordyceps sinensis (C. sinensis) mycelium. Three different models were carried out to predict the arginine content. Wavenumber selection methods such as competitive adaptive reweighted sampling (CARS) and successive projections algorithm (SPA) were used to identify the most important wavenumbers and reduce the high dimensionality of the raw spectral data. Only a few wavenumbers were selected by CARS and CARS-SPA as the optimal wavenumbers, respectively. Among the prediction models, CARS-least squares-support vector machine (CARS-LS-SVM) model performed best with the highest values of the coefficient of determination of prediction (Rp(2)=0.8370) and residual predictive deviation (RPD=2.4741), the lowest value of root mean square error of prediction (RMSEP=0.0841). Moreover, the number of the input variables was forty-five, which only accounts for 2.04% of that of the full wavenumbers. The results showed that FT-NIR spectral technique has the potential to be an objective and non-destructive method to detect arginine content in fermented C. sinensis mycelium.
authors.affiliation: College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
authors.forename: Chuanqi
authors.initials: C
authors.lastname: Xie
authors.affiliation: College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310014, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Xu
authors.affiliation: College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China. Electronic address: ynshao@zju.edu.cn.
authors.forename: Yongni
authors.initials: Y
authors.lastname: Shao
authors.affiliation: College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China. Electronic address: yhe@zju.edu.cn.
authors.forename: Yong
authors.initials: Y
authors.lastname: He
mesh_terms: D000465:Algorithms; D001120:Arginine / Q000032:analysis*; D002138:Calibration; D032661:Cordyceps / Q000737:chemistry*; D005285:Fermentation; D005583:Fourier Analysis; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D025282:Mycelium / Q000737:chemistry*; D012044:Regression Analysis; D019265:Spectroscopy, Near-Infrared; D013059:Spectrum Analysis, Raman
chemical_list: D001120:Arginine
keywords: Arginine; Competitive adaptive reweighted sampling (CARS); Fourier transform near-infrared (FT-NIR) spectra; Prediction; Successive projections algorithm (SPA)