PMID- 36662228
OWN - NLM
STAT- MEDLINE
DCOM- 20230206
LR  - 20230223
IS  - 1759-9679 (Electronic)
IS  - 1759-9660 (Linking)
VI  - 15
IP  - 5
DP  - 2023 Feb 2
TI  - Intelligent analysis of carbendazim in agricultural products based on a 
      ZSHPC/MWCNT/SPE portable nanosensor combined with machine learning methods.
PG  - 562-571
LID - 10.1039/d2ay01779b [doi]
AB  - A nano-ZnS-decorated hierarchically porous carbon (ZSHPC) was mixed with MWCNTs 
      to obtain ZSHPC/MWCNT nanocomposites. Then, ZSHPC/MWCNTs were used to modify a 
      screen-printed electrode, and a portable electrochemical detection system 
      combined with machine learning methods was used to investigate carbendazim (CBZ) 
      residues in rice and tea. The electrochemical performance of the constructed 
      electrode showed that the electrode had good electrocatalytic ability, large 
      effective surface area, strong stability and anti-interference ability. Support 
      Vector Machine (SVM), Least Square Support Vector Machine (LS-SVM) and Back 
      Propagation-Artificial Neural Network (BP-ANN) were used to establish the 
      prediction model for CBZ residues in rice and tea, and the traditional linear 
      regression was developed. The investigated results showed that the LS-SVM model 
      had the best prediction performance and the lowest prediction error compared with 
      the traditional linear regression, BP-ANN and SVM models. The R(2), RMSE, and MAE 
      for the training set samples were 0.9969, 0.3605 and 0.2968, respectively. The 
      R(2), RMSE, MAE and RPD for the prediction set samples were 0.9924, 0.6190, 
      0.5360 and 10.3097, respectively. The average recovery range of CBZ in tea and 
      rice was 98.77-109.32% and that of RSD was 0.47-2.58%, indicating that the rapid 
      analysis of CBZ pesticide residues in agricultural products based on a portable 
      electrochemical detection system combined with machine learning was feasible.
FAU - Wang, Xu
AU  - Wang X
AD  - College of Food Science and Engineering, Jiangxi Agricultural University, 
      Nanchang 330045, People's Republic of China. gengxiang2005@sina.com.
FAU - He, Liang
AU  - He L
AD  - College of Engineering, Jiangxi Agricultural University, Nanchang 330045, 
      People's Republic of China. wuruimei036@163.com.
FAU - Xu, Lulu
AU  - Xu L
AD  - College of Software, Jiangxi Agricultural University, Nanchang 330045, People's 
      Republic of China.
FAU - Liu, Zhongshou
AU  - Liu Z
AD  - College of Engineering, Jiangxi Agricultural University, Nanchang 330045, 
      People's Republic of China. wuruimei036@163.com.
FAU - Xiong, Yao
AU  - Xiong Y
AD  - College of Software, Jiangxi Agricultural University, Nanchang 330045, People's 
      Republic of China.
FAU - Zhou, Weiqi
AU  - Zhou W
AD  - College of Software, Jiangxi Agricultural University, Nanchang 330045, People's 
      Republic of China.
FAU - Yao, Hang
AU  - Yao H
AD  - College of Software, Jiangxi Agricultural University, Nanchang 330045, People's 
      Republic of China.
FAU - Wen, Yangping
AU  - Wen Y
AUID- ORCID: 0000-0001-7047-4533
AD  - Institute of Functional Materials and Agricultural Applied Chemistry, Jiangxi 
      Agricultural University, Nanchang 330045, People's Republic of China.
FAU - Geng, Xiang
AU  - Geng X
AD  - College of Food Science and Engineering, Jiangxi Agricultural University, 
      Nanchang 330045, People's Republic of China. gengxiang2005@sina.com.
FAU - Wu, Ruimei
AU  - Wu R
AUID- ORCID: 0000-0001-6857-9942
AD  - College of Engineering, Jiangxi Agricultural University, Nanchang 330045, 
      People's Republic of China. wuruimei036@163.com.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20230202
PL  - England
TA  - Anal Methods
JT  - Analytical methods : advancing methods and applications
JID - 101519733
RN  - H75J14AA89 (carbendazim)
RN  - 7440-44-0 (Carbon)
RN  - 0 (Tea)
SB  - IM
MH  - *Carbon
MH  - Porosity
MH  - *Machine Learning
MH  - Tea
EDAT- 2023/01/21 06:00
MHDA- 2023/02/07 06:00
CRDT- 2023/01/20 11:03
PHST- 2023/01/21 06:00 [pubmed]
PHST- 2023/02/07 06:00 [medline]
PHST- 2023/01/20 11:03 [entrez]
AID - 10.1039/d2ay01779b [doi]
PST - epublish
SO  - Anal Methods. 2023 Feb 2;15(5):562-571. doi: 10.1039/d2ay01779b.