Literature DB >> 28873515

Characterization of myofibrils cold structural deformation degrees of frozen pork using hyperspectral imaging coupled with spectral angle mapping algorithm.

Weiwei Cheng1, Da-Wen Sun2, Hongbin Pu1, Qingyi Wei1.   

Abstract

The study investigated the possibility of using hyperspectral imaging (HSI) in the spectral range of 1000-2200nm to characterize myofibrils cold structural deformation degrees of frozen pork samples. The HSI images of pork samples frozen under different freezing rates were acquired in the frozen state without thawing. The myofibrils cold structural deformation degrees were evaluated by surface hydrophobicity (S0ANS) and Ca2+-ATPase activity. Spectral angle mapping (SAM) algorithm was used for the first time to extract the spectral information for regression. Compared with the optimized partial least square regression (PLSR) models based on selected wavebands by successive projections algorithm (SPA), the optimized PLSR models developed based on the spectral angles calculated by the SAM algorithm achieved comparable or even better performance with R2P of 0.896 for S0ANS and 0.879 for Ca2+-ATPase activity, respectively. The implications of the frozen meat spectrum were also analyzed in the current study.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Ca(2+)-ATPase activity; Cold structural deformation; Myofibril; Spectral angle mapping algorithm; Spectral imaging; Surface hydrophobicity

Mesh:

Year:  2017        PMID: 28873515     DOI: 10.1016/j.foodchem.2017.07.011

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  3 in total

Review 1.  Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends.

Authors:  Wenyang Jia; Saskia van Ruth; Nigel Scollan; Anastasios Koidis
Journal:  Curr Res Food Sci       Date:  2022-06-03

2.  Application of hyperspectral imaging for spatial prediction of soluble solid content in sweet potato.

Authors:  Yuanyuan Shao; Yi Liu; Guantao Xuan; Yongxian Wang; Zongmei Gao; Zhichao Hu; Xiang Han; Chong Gao; Kaili Wang
Journal:  RSC Adv       Date:  2020-09-08       Impact factor: 4.036

Review 3.  A Review on Meat Quality Evaluation Methods Based on Non-Destructive Computer Vision and Artificial Intelligence Technologies.

Authors:  Yinyan Shi; Xiaochan Wang; Md Saidul Borhan; Jennifer Young; David Newman; Eric Berg; Xin Sun
Journal:  Food Sci Anim Resour       Date:  2021-07-01
  3 in total

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