title: Detecting internal quality of peanuts during storage using electronic nose responses combined with physicochemical methods.
abstract: In this study, the changes in the quality of unshelled peanuts and peanut kernels during storage were analyzed using an electronic nose (e-nose). The physicochemical indexes (acid and peroxide values) of peanut kernels were tested by traditional method as a reference. The storage time of peanut kernels increases from left to right in the cluster analysis plot based on the physicochemical indexes. The "maximum values", "area values", and "70th s values" methods were applied to extract the feature data from the e-nose responses. Principal component analysis (PCA) results indicated that the "70th s values" method produced the most accurate results, furthermore, unshelled peanut and peanut kernel samples presented similar characteristics in the PCA plots; the partial least squares regression (PLSR) results showed that the features of unshelled peanuts and peanut kernels are highly correlated with acid and peroxide values, respectively.
authors: Department of Biosystems Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, PR China.
authors: Zhenbo
authors: Z
authors: Wei
authors: Department of Biosystems Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, PR China. Electronic address: jwang@zju.edu.cn.
authors: Jun
authors: J
authors: Wang
authors: Department of Biosystems Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, PR China.
authors: Weilin
authors: W
authors: Zhang
mesh_terms: D010367:Arachis / Q000737:chemistry* / Q000592:standards; D062609:Electronic Nose; D063427:Food Quality; D061353:Food Storage; D009754:Nuts / Q000737:chemistry* / Q000592:standards; D025341:Principal Component Analysis / Q000379:methods
keywords: Electronic nose; Peanut kernel; Physicochemical index; Storage time; Unshelled peanut