| 陈亮亮，朱亚东，李梦姣，李柯杰，程 达，李旭卓，何鸿举*.基于近红外高光谱成像快速预测牛肉中猪肉掺入量[J].海南师范大学学报自科版,2022,35(4):402-406 |
| 基于近红外高光谱成像快速预测牛肉中猪肉掺入量 |
| Fast Prediction of Pork in Beef Based on Near-infraredHyperspectral Imaging |
| |
| DOI： |
| 中文关键词: 猪肉 牛肉 掺假 光谱 变量 |
| 英文关键词: pork beef adulteration spectrum variable |
| 基金项目:河南科技学院大学生创新创业计划项目（2021CX027）；河南省科技攻关项目（212102310491） |
|
| 摘要点击次数: 689 |
| 全文下载次数: 565 |
| 中文摘要: |
| 基于900~1 700 nm波段范围内的近红外高光谱成像技术结合线性算法快速预测牛肉
中猪肉掺入量。使用BC、SGS和SNV3种方法预处理光谱信息，结果显示原始光谱信息更适合于构
建PLSR模型，预测牛肉掺假效果良好（R2
P = 0.95，RMSEP = 6.82%，RPD = 4.89）。经Stepwise算法
从全波段486个波长中筛选出8个最优波长（918、926、935、1 053、1 055、1 086、1 088、1 382 nm）简
化全波段预测模型，结果显示，基于这 8 个最优波长构建的 MLR 模型预测效果良好（R2
P = 0.96，
RMSEP = 5.70%，RPD = 5.56），可代替全波段光谱信息实现牛肉掺假的快速预测。 |
| 英文摘要: |
| A fast method for the prediction of pork content in beef was conducted based on near-infrared hyperspectral im⁃
aging combined with linear algorithm in the range of 900~1 700 nm. Three methods including BC, SGS and SNV were used
to preprocess spectral information, and the results showed that the original raw spectral information was more suitable for
the construction of PLSR model, and the performance of adulteration prediction was good (R2
P = 0.95, RMSEP = 6.82%,
RPD = 4.89).The Stepwise algorithm was used to select 8 optimal wavelengths from 486 wavelengths of the whole bands such
as 918, 926, 935, 1 053, 1 055, 1 086, 1 088, 1 382 nm to simplify the full-band prediction model, and the results showed that
the prediction performance of MLR model based on the 8 optimal wavelengths was also good (R2
P = 0.96, RMSEP = 5.70%,
RPD = 5.56), which can replace the full-band spectral information to realize the rapid prediction of beef adulteration. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
