Dynamic surface-enhanced Raman spectroscopy for the detection of acephate residue in rice by using gold nanorods modified with cysteamine and multivariant methods
文献类型： 外文期刊
作者： Weng, Shizhuang 1 ; Zhu, Wenxiu 1 ; Li, Pan 2 ; Yuan, Hecai 1 ; Zhang, Xueyan 1 ; Zheng, Ling 1 ; Zhao, Jinling 1 ; Huang 1 ;
作者机构： 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
3.Beijing Acad Agr & Forestry Sci, Minist Agr Beijing, Agr Prod Qual & Safety Risk Assessment Lab, Beijing, Peoples R China
关键词： Dynamic surface-enhanced Raman spectroscopy; Acephate; Gold nanorods modified with cysteamine; Residue level analysis; Multivariant methods
期刊名称：FOOD CHEMISTRY （ 影响因子：7.514； 五年影响因子：7.516 ）
ISSN： 0308-8146
年卷期： 2020 年 310 卷
页码：
收录情况： SCI
摘要： Dynamic surface-enhanced Raman spectroscopy (D-SERS) was employed for the rapid detection of acephate in rice with simply regulated gold nanorods. Gold nanorods modified with cysteamine were prepared to circumvent the weak affinity of acephate molecules to the gold surface for a gigantic and stable enhancement. D-SERS was adopted to measure spectra of acephate residue at a range of 100.2-0.5 mg/L in rice samples, and the low residue of 0.5 mg/L can be still detected. Multivariant methods in machine or deep learning were used to develop the regression models for the automatic analysis of acephate residue level. Partial least squares regression and principal component analysis obtained the optimal performance with the root-mean-square error (RMSE) of validation of 5.4776, coefficient of determination (R-2) of validation of 0.9560, RMSE of prediction of 6.2845, and R-2 of prediction of 0.9541. Thus, the proposed method provides accurate and sensitive detection for acephate in rice.
- 相关文献
作者其他论文 更多>>
-
Three-Dimensional Modeling of Maize Canopies Based on Computational Intelligence
作者：Wu, Yandong;Xiao, Pengliang;Huang, Linsheng;Wu, Yandong;Wen, Weiliang;Gu, Shenghao;Huang, Guanmin;Wang, Chuanyu;Lu, Xianju;Xiao, Pengliang;Guo, Xinyu;Wen, Weiliang;Gu, Shenghao;Huang, Guanmin;Wang, Chuanyu;Lu, Xianju;Guo, Xinyu;Huang, Guanmin;Lu, Xianju
关键词：
-
Construction of an Au/g-C 3 N 4 /GO/Au substrate by a layer-by-layer assembly approach for surface-enhanced Raman spectroscopy
作者：Xu, Jingjing;Wei, Jingyi;Cui, Yanying;Guo, Sufang;An, Qi;Yu, Sixian;Han, Ping
关键词：Surface enhanced Raman spectroscopy; Layer -by -layer self -assembly; Food colorant detection; Water droplet evaporation; Au nanoparticles; Graphitic carbon nitride
-
Biodegradation properties and mechanism of triketone herbicide mesotrione via newly isolated bacterium Klebsiella pasteurii CM-1
作者：Cao, Xiaotian;Li, Yuanfu;Liu, Wei;Hou, Ning;Zhao, Feng;Tan, Huihua;Han, Ping
关键词：Mesotrione; Biodegradation; Klebsiella pasteurii; Molecular mechanism; Nitroreductase
-
Promoter variations in a homeobox gene, BrLMI1, contribute to leaf lobe formation in Brassica rapa ssp. chinensis Makino
作者：Li, Pan;Su, Tongbing;Li, Hui;Wu, Yudi;Wang, Limin;Zhang, Fenglan;Wang, Zheng;Yu, Shuancang;Li, Pan;Su, Tongbing;Li, Hui;Wu, Yudi;Wang, Limin;Zhang, Fenglan;Wang, Zheng;Yu, Shuancang;Li, Pan;Su, Tongbing;Li, Hui;Wu, Yudi;Wang, Limin;Zhang, Fenglan;Wang, Zheng;Yu, Shuancang
关键词：
-
BrrA02.LMI1 Encodes a Homeobox Protein That Affects Leaf Margin Development in Brassica rapa
作者：Li, Pan;Wu, Yudi;Han, Xiangyang;Li, Hui;Wang, Limin;Chen, Bin;Yu, Shuancang;Wang, Zheng;Li, Pan;Wu, Yudi;Han, Xiangyang;Li, Hui;Wang, Limin;Chen, Bin;Yu, Shuancang;Wang, Zheng;Li, Pan;Wu, Yudi;Han, Xiangyang;Li, Hui;Wang, Limin;Chen, Bin;Yu, Shuancang;Wang, Zheng;Li, Pan;Wu, Yudi;Han, Xiangyang;Li, Hui;Wang, Limin;Chen, Bin;Yu, Shuancang;Wang, Zheng
关键词：Brassica rapa; LMI1-like; leaf lobe; transformation; functional identification
-
Estimation of Winter Wheat Residue Coverage Based on GF-1 Imagery and Machine Learning Algorithm
作者：Zhu, Qilei;Xu, Xingang;Sun, Zhendong;Yang, Guijun;Xu, Sizhe;Yang, Min;Zhu, Qilei;Xu, Xingang;Sun, Zhendong;Yang, Guijun;Xu, Sizhe;Yang, Min;Zhu, Qilei;Liang, Dong;Huang, Linsheng;An, Xiaofei;Chen, Liping
关键词：wheat residue coverage; GF-1 remote sensing satellite; Sentinel-2 remote sensing satellite; machine learning regression model
-
Improvement of Wheat Growth Information by Fusing UAV Visible and Thermal Infrared Images
作者：Yu, Jun;Zhao, Jinling;Zhou, Chengquan;Zhou, Chengquan
关键词：remote sensing image fusion; intensity hue saturation (IHS) transform; regional variance; unmanned aerial vehicle (UAV); wavelet transform
