| 拉曼光谱检测脆肉草鱼肌肉脆度 |
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| 引用本文： | 杨灵,王青秀,杨航,师泽晨,苏立恒,吴霆,林蠡,邹娟.拉曼光谱检测脆肉草鱼肌肉脆度[J].水产学报,2022,46(7):1235-1245. |
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| 作者姓名： | 杨灵 王青秀 杨航 师泽晨 苏立恒 吴霆 林蠡 邹娟 |
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| 作者单位： | 仲恺农业工程学院信息科学与技术学院,仲恺农业工程学院信息科学与技术学院,仲恺农业工程学院信息科学与技术学院,仲恺农业工程学院信息科学与技术学院,仲恺农业工程学院信息科学与技术学院,仲恺农业工程学院信息科学与技术学院;仲恺农业工程学院动物科技学院,仲恺农业工程学院动物科技学院,仲恺农业工程学院信息科学与技术学院 |
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| 基金项目： | 国家自然科学基金 (31872606)；广东省海洋与渔业局基金 (GDME-2018C006， D21822202)；中国—东盟海上合作基金 (CAMC-2018F)；广东省现代农业产业技术体系创新团队建设专项 (2019KJ141，2020KJ138)；广州市民生科技重大专项 (201803020033, 202002030154)；广东省教育厅乡村振兴重点领域专项(2020ZDZX1060)；广东省自然科学基金项目(2018A0303130034, 2020A1515010834) |
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| 摘 要： | 脆度是脆肉草鱼品质重要检测指标之一，过度脆化的脆肉草鱼会出现溶血、缺氧和一些器官的病变。为研发出一种检测脆肉草鱼脆度的方法，实验提出一种基于拉曼光谱技术检测脆肉草鱼脆度的方法。首先，通过对不同脆化时间的脆肉草鱼拉曼光谱进行PCA分析，结果显示，拉曼光谱能够应用于不同脆化时间脆肉草鱼脆度鉴别。肌肉总蛋白质结构中的α-螺旋随着脆化时间增加而减少，β-折叠随着脆化时间增加而增加，无规则卷曲在脆化初期变化较大，脆化后期变化不明显。其次，采用SG、SNV、MSC和Normalize这4种方法预处理拉曼光谱数据，发现Normalize的预处理效果最好，预测集RMSEP为2.33,R2P为0.73。再次，采用PLSR、SVR和BPNN方法建立脆肉草鱼脆度与拉曼光谱信息关系模型，预测集RMSEP分别为2.33、2.26和1.96,R2P分别为0.73、0.78和0.83，其中BPNN预测模型效果最好。研究表明，采用拉曼光谱技术和Normalize-BPNN建立的预测模型可以检测脆肉草鱼脆度。本研究将为脆肉草鱼脆度检测提供新的思路。
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| 关 键 词： | 草鱼 脆度 拉曼光谱 Normalize-BPNN模型 蛋白质二级结构 |
| 收稿时间： | 2021/5/23 0:00:00 |
| 修稿时间： | 2021/7/12 0:00:00 |
Muscle crispness of crispy grass carp (Ctenopharyngodon idella) based on Raman spectroscopy |
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| YANG Ling,WANG Qingxiu,YANG Hang,SHI Zechen,SU Liheng,WU Ting,LIN Li,ZOU Juan.Muscle crispness of crispy grass carp (Ctenopharyngodon idella) based on Raman spectroscopy[J].Journal of Fisheries of China,2022,46(7):1235-1245. |
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| Authors: | YANG Ling WANG Qingxiu YANG Hang SHI Zechen SU Liheng WU Ting LIN Li ZOU Juan |
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| Institution: | Guangdong Provincial Food Safety Traceability and Control Engineering Technology Research Center,School of Information Science and Technology,Zhongkai University of Agriculture and Engineering,Guangdong Provincial Food Safety Traceability and Control Engineering Technology Research Center,School of Information Science and Technology,Zhongkai University of Agriculture and Engineering,Guangdong Provincial Food Safety Traceability and Control Engineering Technology Research Center,School of Information Science and Technology,Zhongkai University of Agriculture and Engineering,Guangdong Provincial Food Safety Traceability and Control Engineering Technology Research Center,School of Information Science and Technology,Zhongkai University of Agriculture and Engineering,Guangdong Provincial Food Safety Traceability and Control Engineering Technology Research Center,School of Information Science and Technology,Zhongkai University of Agriculture and Engineering,Guangdong Provincial Food Safety Traceability and Control Engineering Technology Research Center,School of Information Science and Technology,Zhongkai University of Agriculture and Engineering;Guangdong Provincial Water Environment and Aquatic Products Security Engineering Technology Research Center,Guangzhou Key Laboratory of Aquatic Animal Diseases and Waterfowl Breeding,College of Animal Science Technology,Zhongkai University of Agriculture and Engineering,Guangdong Provincial Water Environment and Aquatic Products Security Engineering Technology Research Center,Guangzhou Key Laboratory of Aquatic Animal Diseases and Waterfowl Breeding,College of Animal Science Technology,Zhongkai University of Agriculture and Engineering,Guangdong Provincial Food Safety Traceability and Control Engineering Technology Research Center,School of Information Science and Technology,Zhongkai University of Agriculture and Engineering |
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| Abstract: | |
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| Keywords: | Crispy grass carp Brittleness Raman spectroscopy Normalize-BPNN model Protein secondary structure |
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