title: [Fresh and frozen-thawed meat discrimination based on FISS imaging spectral data].
abstract: In the present paper, a self-developed Field imaging spectrometer system (FISS) was used to detect whether pork has been frozen and thawed. The preservation time of fresh pork has also been identified. Fresh and frozen-thawed pork was scanned and imaged and hyperspectral image cubes were acquired using FISS. To eliminate high-frequency random noise and baseline offset and improve the multi-collinearity, all samples were preprocessed by MNF (Minimum noise fraction) transform and first derivative. Multiple analysis models were built by using Wilks' lambda stepwise method to select proper wavelengths. Fisher LDA (linear discriminant analysis) was performed to discriminate fresh and frozen-thawed pork. Eight selected bands gave 99% correct results of fresh or frozen-thawed pork samples. For the freshness by the day, classification accuracy reached 98% with 6 selected bands, while for the freshness by the hour, classification accuracy reached 93.6% with all 28 selected bands. The results showed that FISS might be used as a screening method to identify the quality of meat.
authors: The State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China. zxw29887@163.com
authors: Xue-Wen
authors: XW
authors: Zhang
authors: Li-Fu
authors: LF
authors: Zhang
authors: Chang-Ping
authors: CP
authors: Huang
authors: Lan-Fen
authors: LF
authors: Zheng
authors: Qing-Xi
authors: QX
authors: Tong
mesh_terms: D000818:Animals; D016002:Discriminant Analysis; D008460:Meat / Q000032:analysis*; D008962:Models, Theoretical; D019265:Spectroscopy, Near-Infrared; D013552:Swine