基于高光谱成像技术的猪肉新鲜度评价
该文研究利用高光谱成像技术预测猪肉新鲜度参数,挥发性盐基氮（TVB-N）和pH值。在470～1000nm波长范围内,从高光谱图像中提取的反射光谱,分别经过2次Savitzky-Golay（S-G）平滑、多元散射校正（MSC）处理后,建立PLSR（偏最小二乘法）的预测模型。对TVB-N的预测,使用2次S-G平滑处理、MSC光谱建立的PLSR预测模型相关系数分别为0.90和0.89,预测模型标准差分别为7.80和8.05。对pH值的预测,经过MSC处理比2次S-G平滑处理的结果好,相关系数为0.79,预测模型标准差为0.37。同时综合2个参数利用MSC处理后的预测模型对猪肉新鲜度进行评定,准确率达...
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| Published in | 农业工程学报 Vol. 28; no. 7; pp. 254 - 259 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
中国农业大学工学院,北京,100083
2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1002-6819 |
| DOI | 10.3969/j.issn.1002-6819.2012.07.042 |
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| Abstract | 该文研究利用高光谱成像技术预测猪肉新鲜度参数,挥发性盐基氮（TVB-N）和pH值。在470～1000nm波长范围内,从高光谱图像中提取的反射光谱,分别经过2次Savitzky-Golay（S-G）平滑、多元散射校正（MSC）处理后,建立PLSR（偏最小二乘法）的预测模型。对TVB-N的预测,使用2次S-G平滑处理、MSC光谱建立的PLSR预测模型相关系数分别为0.90和0.89,预测模型标准差分别为7.80和8.05。对pH值的预测,经过MSC处理比2次S-G平滑处理的结果好,相关系数为0.79,预测模型标准差为0.37。同时综合2个参数利用MSC处理后的预测模型对猪肉新鲜度进行评定,准确率达91%。研究结果表明,高光谱成像技术可以用于猪肉新鲜度快速无损检测。 |
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| AbstractList | 该文研究利用高光谱成像技术预测猪肉新鲜度参数,挥发性盐基氮（TVB-N）和pH值。在470～1000nm波长范围内,从高光谱图像中提取的反射光谱,分别经过2次Savitzky-Golay（S-G）平滑、多元散射校正（MSC）处理后,建立PLSR（偏最小二乘法）的预测模型。对TVB-N的预测,使用2次S-G平滑处理、MSC光谱建立的PLSR预测模型相关系数分别为0.90和0.89,预测模型标准差分别为7.80和8.05。对pH值的预测,经过MSC处理比2次S-G平滑处理的结果好,相关系数为0.79,预测模型标准差为0.37。同时综合2个参数利用MSC处理后的预测模型对猪肉新鲜度进行评定,准确率达91%。研究结果表明,高光谱成像技术可以用于猪肉新鲜度快速无损检测。 S123; 该文研究利用高光谱成像技术预测猪肉新鲜度参数,挥发性盐基氮( TVB-N)和pH值.在470～1 000 nm波长范围内,从高光谱图像中提取的反射光谱,分别经过2次Savitzky-Golay (S-G)平滑、多元散射校正(MSC)处理后,建立PLSR(偏最小二乘法)的预测模型.对TVB-N的预测,使用2次S-G平滑处理、MSC光谱建立的PLSR预测模型相关系数分别为0.90和0.89,预测模型标准差分别为7.80和8.05.对pH值的预测,经过MSC处理比2次S-G平滑处理的结果好,相关系数为0.79,预测模型标准差为0.37.同时综合2个参数利用MSC处理后的预测模型对猪肉新鲜度进行评定,准确率达91％.研究结果表明,高光谱成像技术可以用于猪肉新鲜度快速无损检测. |
| Author | 张雷蕾 李永玉 彭彦昆 王伟 江发潮 陶斐斐 单佳佳 |
| AuthorAffiliation | 中国农业大学工学院,北京100083 |
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| Author_FL | Shan Jiajia Peng Yankun Jiang Fachao Tao Feifei Li Yongyu Zhang Leilei Wang Wei |
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| DocumentTitleAlternate | Determination of pork freshness attributes by hyperspectral imaging technique |
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| Keywords | pH值 猪肉新鲜度 肉制品 光谱分析 无损检测 偏最小二乘回归 挥发性盐基氮 高光谱 |
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| Notes | 11-2047/S spectrum analysis; meats; pH value; nondestructive examination; hyperspectral imaging technique; pork freshness; TVB-N; PLSR The objectives of this research was to develop a hyperspectral imaging system to predict pork freshness based on quality attributes such as total volatile basic nitrogen（TVB-N）and pH value.Reflectance spectra were collected from the hyperspectral scattering images in the range of 470 to 1 000 nm,and pre-processed by Savitzky-Golay（S-G）based on five and eleven smoothening points and multiple scattering correlation（MSC）methods separately.Their prediction results were compared with prediction models developed by partial least square regression（PLSR）method.PLSR with S-G pre-processing could predict pork TVB-N with correlation coefficient（Rv）of 0.90 and standard error of prediction（SEP）of 7.80.Similarly PLSR with MSC pre-processing data predicted pork TVB-N with Rv of 0.89 and SEP of 8.0.The prediction model established using MSC as pre-processing method yielded better result for pre |
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| PublicationTitle | 农业工程学报 |
| PublicationTitleAlternate | Transactions of the Chinese Society of Agricultural Engineering |
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| PublicationYear | 2012 |
| Publisher | 中国农业大学工学院,北京,100083 |
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| Snippet | 该文研究利用高光谱成像技术预测猪肉新鲜度参数,挥发性盐基氮（TVB-N）和pH值。在470～1000nm波长范围内,从高光谱图像中提取的反射光谱,分别经过2次Savitzky-Golay（S-G）... S123; 该文研究利用高光谱成像技术预测猪肉新鲜度参数,挥发性盐基氮( TVB-N)和pH值.在470～1 000 nm波长范围内,从高光谱图像中提取的反射光谱,分别经过2次Savitzky-Golay... |
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| SubjectTerms | pH值 偏最小二乘回归 光谱分析 挥发性盐基氮 无损检测 猪肉新鲜度 肉制品 高光谱 |
| Title | 基于高光谱成像技术的猪肉新鲜度评价 |
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