PMID- 33157400
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20201215
LR  - 20201215
IS  - 1873-3557 (Electronic)
IS  - 1386-1425 (Linking)
VI  - 247
DP  - 2021 Feb 15
TI  - A fast determination of insecticide deltamethrin by spectral data fusion of 
      UV-vis and NIR based on extreme learning machine.
PG  - 119119
LID - S1386-1425(20)31098-2 [pii]
LID - 10.1016/j.saa.2020.119119 [doi]
AB  - Spectral data fusion strategies combined with the extreme learning machine (ELM) 
      algorithm was applied to determine the active ingredient in deltamethrin 
      formulation. Ultraviolet-visible spectroscopy (UV-vis) is a rapid and sensitive 
      detection method for specific components that are sensitive to ultraviolet 
      irradiation. Alternatively, near-infrared spectroscopy (NIR) technology can be 
      applied over a broader range. To determine a feasible method with a higher 
      sensitivity and broader application range, the active ingredient of deltamethrin 
      formulation was comprehensively investigated by combining the spectral data 
      fusion strategy with ELM by employing UV-vis, NIR and fusion strategies, 
      individually. Consequently, the results demonstrated that the low-level fusion 
      strategy exhibited better predictive ability (lower RMSEP of 0.0645% and higher 
      R(2) of 0.9978) than mid-level fusion and individual methods. ELM combined with 
      data fusion is proved to be an efficient method for the rapid analysis of 
      deltamethrin formulations. Furthermore, this study provides a potential approach 
      for pesticide quality control as well as on-site monitoring.
CI  - Copyright (c) 2020 Elsevier B.V. All rights reserved.
FAU - Li, Qianqian
AU  - Li Q
AD  - School of Chinese Material Medica, Beijing University of Chinese Medicine, 
      Beijing 100029, China.
FAU - Huang, Yue
AU  - Huang Y
AD  - College of Food Science and Nutritional Engineering, China Agricultural 
      University, Beijing 100083, China. Electronic address: huangyue@cau.edu.cn.
FAU - Zhang, Jixiong
AU  - Zhang J
AD  - College of Science, China Agricultural University, Beijing 100193, China.
FAU - Min, Shungeng
AU  - Min S
AD  - College of Science, China Agricultural University, Beijing 100193, China.
LA  - eng
PT  - Journal Article
DEP - 20201027
PL  - England
TA  - Spectrochim Acta A Mol Biomol Spectrosc
JT  - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
JID - 9602533
SB  - IM
OTO - NOTNLM
OT  - Data fusion
OT  - Extreme learning machine
OT  - Near-infrared
OT  - Quality control
OT  - Ultraviolet-visible
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2020/11/07 06:00
MHDA- 2020/11/07 06:01
CRDT- 2020/11/06 20:14
PHST- 2020/07/01 00:00 [received]
PHST- 2020/10/12 00:00 [revised]
PHST- 2020/10/17 00:00 [accepted]
PHST- 2020/11/07 06:00 [pubmed]
PHST- 2020/11/07 06:01 [medline]
PHST- 2020/11/06 20:14 [entrez]
AID - S1386-1425(20)31098-2 [pii]
AID - 10.1016/j.saa.2020.119119 [doi]
PST - ppublish
SO  - Spectrochim Acta A Mol Biomol Spectrosc. 2021 Feb 15;247:119119. doi: 
      10.1016/j.saa.2020.119119. Epub 2020 Oct 27.