Fusion of electronic nose and hyperspectral imaging for mutton freshness detection using input-modified convolution neural network
文献类型：期刊论文
| 作者 | Liu, Cunchuan1; Chu, Zhaojie1; Weng, Shizhuang1; Zhu, Gongqin1; Han, Kaixuan1; Zhang, Zixi1; Huang, Linsheng1; Zhu, Zede2; Zheng, Shouguo2 |
| 刊名 | FOOD CHEMISTRY
 |
| 出版日期 | 2022-08-15 |
| 卷号 | 385 |
| ISSN号 | 0308-8146 |
| 关键词 | Mutton freshness Electronic nose Hyperspectral image Effective variables Deep learning |
| DOI | 10.1016/j.foodchem.2022.132651 |
| 通讯作者 | Weng, Shizhuang(weng_1989@126.com) ; Zheng, Shouguo(zhshg_1989@163.com) |
| 英文摘要 | Electronic nose (E-nose) and hyperspectral image (HSI) were combined to evaluate mutton total volatile basic nitrogen (TVB-N), which is a comprehensive index of freshness. The response values of 10 E-nose sensors were collected, and seven responsive sensors were screened via histogram statistics. Reflectance spectra and image features were extracted from HSI images, and the effective variables were selected through random frog and Pearson correlation analyses. With multi-source features, an input-modified convolution neural network (IMCNN) was constructed to predict TVB-N. The seven E-nose sensors, spectra of effective wavelengths (EWs), and five important image features were combined with IMCNN to achieve the best result, with the root mean square error, correlation coefficient, and ratio of performance deviation of the prediction set of 3.039 mg/100 g, 0.920, and 3.59, respectively. Hence, the proposed method furnishes an approach to accurately analyze mutton freshness and provide a technical basis for investigation of other meat qualities. |
| WOS关键词 | RANDOM FROG ; CLASSIFICATION ; PREDICTION ; SELECTION ; TEXTURE ; COLOR |
| WOS研究方向 | Chemistry ; Food Science & Technology ; Nutrition & Dietetics |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCI LTD |
| WOS记录号 | WOS:000794033800002 |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/130809]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Weng, Shizhuang; Zheng, Shouguo |
| 作者单位 | 1.Anhui Univ, Natl Engn Res Ctr Agroecol Big Data Anal & Applic, 111 Jiulong Rd, Hefei, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, 350 Shushanhu Rd, Hefei 230031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Cunchuan,Chu, Zhaojie,Weng, Shizhuang,et al. Fusion of electronic nose and hyperspectral imaging for mutton freshness detection using input-modified convolution neural network[J]. FOOD CHEMISTRY,2022,385. |
| APA | Liu, Cunchuan.,Chu, Zhaojie.,Weng, Shizhuang.,Zhu, Gongqin.,Han, Kaixuan.,...&Zheng, Shouguo.(2022).Fusion of electronic nose and hyperspectral imaging for mutton freshness detection using input-modified convolution neural network.FOOD CHEMISTRY,385. |
| MLA | Liu, Cunchuan,et al."Fusion of electronic nose and hyperspectral imaging for mutton freshness detection using input-modified convolution neural network".FOOD CHEMISTRY 385(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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