Surface-enhanced Raman spectroscopy with gold nanorods modified by sodium citrate and liquid-liquid interface self-extraction for detection of deoxynivalenol in Fusarium head blight-infected wheat kernels coupled with a fully convolution network
文献类型：期刊论文
| 作者 | Weng, Shizhuang2; Hu, Xujin2; Zhu, Wenxiu2; Li, Pan1; Zheng, Shouguo1; Zheng, Ling2; Huang, Linsheng2; Zhang, Dongyan2 |
| 刊名 | FOOD CHEMISTRY
 |
| 出版日期 | 2021-10-15 |
| 卷号 | 359 |
| ISSN号 | 0308-8146 |
| 关键词 | Surface-enhanced Raman spectroscopy Deep learning network Liquid-liquid interface Self-extraction Deoxynivalenol Fusarium head blight Wheat |
| DOI | 10.1016/j.foodchem.2021.129847 |
| 通讯作者 | Weng, Shizhuang(weng_1989@126.com) ; Zhang, Dongyan() |
| 英文摘要 | Surface-enhanced Raman spectroscopy (SERS) and deep learning network were adopted to develop a detection method for deoxynivalenol (DON) residues in Fusarium head blight (FHB)-infected wheat kernels. First, the liquid-liquid interface self-extraction was conducted for the rapid separation of DON in samples. Then, the gold nanorods modified with sodium citrate (Cit-AuNRs) were prepared as substrate for a gigantic enhancement of SERS signal. Results showed that the spectral characteristic peaks for DON residues of 99.5-0.5 mg/L were discernible with the relative standard deviation of 4.2%, with the limit of detection of 0.11 mg/L. Meanwhile, the fully convolutional network for the spectra of matrix input form was developed and obtained the optimal quantitative performance, with a root-mean-square error of prediction of 4.41 mg/L and coefficient of determination of prediction of 0.9827. Thus, the proposed method provides a simple, sensitive, and intelligent detection for DON in FHB-infected wheat kernels. |
| WOS关键词 | RAPID DETECTION ; SERS ; SINGLE ; BARLEY |
| 资助项目 | Key Research and Development Program of Anhui Province[202004a06020032] ; National Natural Science Foundation of China[31971789] ; National Natural Science Foundation of China[32001421] ; Open Research Fund of National Engineering Research Center for AgroEcological Big Data Analysis & Application, Anhui University[AE201909] |
| 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:000663770700006 |
| 资助机构 | Key Research and Development Program of Anhui Province ; National Natural Science Foundation of China ; Open Research Fund of National Engineering Research Center for AgroEcological Big Data Analysis & Application, Anhui University |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/123496]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Weng, Shizhuang; Zhang, Dongyan |
| 作者单位 | 1.Chinese Acad Sci, Hefei Inst Phys Sci, 350 Shushanhu Rd, Hefei 230031, Peoples R China 2.Anhui Univ, Natl Engn Res Ctr Agroecol Big Data Anal & Applic, 111 Jiulong Rd, Hefei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Weng, Shizhuang,Hu, Xujin,Zhu, Wenxiu,et al. Surface-enhanced Raman spectroscopy with gold nanorods modified by sodium citrate and liquid-liquid interface self-extraction for detection of deoxynivalenol in Fusarium head blight-infected wheat kernels coupled with a fully convolution network[J]. FOOD CHEMISTRY,2021,359. |
| APA | Weng, Shizhuang.,Hu, Xujin.,Zhu, Wenxiu.,Li, Pan.,Zheng, Shouguo.,...&Zhang, Dongyan.(2021).Surface-enhanced Raman spectroscopy with gold nanorods modified by sodium citrate and liquid-liquid interface self-extraction for detection of deoxynivalenol in Fusarium head blight-infected wheat kernels coupled with a fully convolution network.FOOD CHEMISTRY,359. |
| MLA | Weng, Shizhuang,et al."Surface-enhanced Raman spectroscopy with gold nanorods modified by sodium citrate and liquid-liquid interface self-extraction for detection of deoxynivalenol in Fusarium head blight-infected wheat kernels coupled with a fully convolution network".FOOD CHEMISTRY 359(2021). |
入库方式： OAI收割
来源：合肥物质科学研究院
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