文献类型： 外文期刊

作者： Chen, Fangfang ¹ ; Chen, Chen ¹ ; Li, Wenrong ² ; Xiao, Meng ⁴ ; Yang, Bo ¹ ; Yan, Ziwei ¹ ; Gao, Rui ¹ ; Zhang, Shuailei ¹ ;

作者机构： 1.Xinjiang Univ, Coll Informat Sci & Engn, Urumqi 830046, Peoples R China

2.Minist Agr, Key Lab Genet Breeding & Reprod Grass Feeding Liv, Urumqi 830000, Peoples R China

3.Xinjiang Acad Anim Sci, Key Lab Anim Biotechnol, Xinjiang Inst Anim Biotechnol, Urumqi 830000, Peoples R China

4.Fourth Peoples Hosp Urumqi, Urumqi 830002, Peoples R China

5.Shanghai Jiao Tong Univ, Sch Pharm, Shanghai 200240, Peoples R China

6.Xinjiang Univ, Key Lab Signal Detect & Proc, Urumqi 830046, Peoples R China

7.Xinjiang Univ, Coll Software, Urumqi 830002, Peoples R China

关键词： Sheep disease; Serum; Raman spectroscopy; Deviation standardization; DOSC-SPA-PLSR-DS

期刊名称：SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY （ 影响因子：4.098； 五年影响因子：3.464 ）

ISSN： 1386-1425

年卷期： 2021 年 248 卷

页码：

收录情况： SCI

摘要： Hepatic fascioliasis, ketosis of pregnancy, toxemia of pregnancy and other common sheep diseases will directly affect the concentration (/enzymatic activity) of seven indicators, such as cortisol and high-density lipoprotein cholesterol (HDL-C) in sheep serum. Whether the concentrations (/enzymatic activity) of these indicators can be detected quickly will directly affect the prevention of sheep diseases and the targeted adjustment of breeding methods, thereby affecting the economic benefits of sheep breeding. In this research, we established partial least square regression (PLSR), support vector regression based on genetic algorithm optimization (GA-SVR) and extreme learning machine (ELM) models. Due to the large differences in the content of different substances, it is difficult to directly use the RMSE to evaluate the quantitative effect of the model. This study is the first to propose conducting deviation standardization (DS) for the determination results of various substances. To further improve the performance of the model, we use the successive projections algorithm (SPA) to optimize feature extraction and combine it with the better-performing PLSR model for training. The results show that the optimized DOSC-SPA-PLSR-DS quantitative model has better determination results for 101 sheep serum samples. The average RMSEp+ of the concentration of the six substances decreased from 0.0408 to 0.0387, the R-p(2) increased from 0.9758 to 0.9846, and the running time was reduced from 0.1659 to 0.0008 s. And the determination performance of lipase (LPS) enzymatic activity has also been improved. The results of this research show that sheep serum Raman spectroscopy combined with DOSC-SPA-PLSR-DS optimization can efficiently monitor the concentration (/enzyme activity) of seven indicators in real time and provide a new strategy for future intelligent supervision of animal husbandry. (C) 2020 Elsevier B.V. All rights reserved.