PMID- 34922288
OWN - NLM
STAT- MEDLINE
DCOM- 20220124
LR  - 20220124
IS  - 1873-3557 (Electronic)
IS  - 1386-1425 (Linking)
VI  - 269
DP  - 2022 Mar 15
TI  - Rapid identification of producing area of wheat using terahertz spectroscopy 
      combined with chemometrics.
PG  - 120694
LID - S1386-1425(21)01271-3 [pii]
LID - 10.1016/j.saa.2021.120694 [doi]
AB  - Wheat from different producing areas has different flavor and properties, and 
      thus the identification of producing area of wheat is significant to assure the 
      quality of wheat. The traditional method of producing area of wheat determination 
      is time-consuming, complex and needs a lot of pretreatment. The purpose of this 
      research is to develop a new method for the determination of wheat producing 
      areas by terahertz time domain spectroscopy in combination with chemometrics. 
      Firstly, a total of 240 wheat samples from Shandong Province, Shaanxi Province, 
      Henan Province, Hebei Province and Anhui Province of China were collected to 
      analyze and obtain the time-domain spectral signals, frequency-domain spectral 
      signals, and absorption coefficient spectral signals of the samples were 
      obtained. Then, four different preprocessing methods of Savitzky-Golay (S-G), 
      multiplicative scatter correction (MSC), mean centering, and standard normal 
      variate (SNV) were applied to preprocess the absorption coefficient spectral 
      signals, and the uninformative variable elimination (UVE) was used for variable 
      selection of THz spectra data, for developing an effective prediction model. 
      Finally, chemometrics methods, including the partial least squares discriminant 
      analysis (PLS-DA), back propagation neural network (BPNN) and least squares 
      support vector machines (LS-SVM) qualitative models were used for model building 
      and discrimination results obtained through such models were compared. According 
      to the test results, the comprehensive discrimination accuracy of wheat from 
      different origins by the SNV-LS-SVM model reached 96.76%, Furthermore, these 
      results demonstrated that an accurate qualitative analysis of producing area of 
      wheat samples could be achieved by terahertz time-domain spectroscopy combined 
      with chemometrics, which can provide a fast and accurate solution for grain 
      security detection and origin tracing.
CI  - Copyright (c) 2021 Elsevier B.V. All rights reserved.
FAU - Shen, Yin
AU  - Shen Y
AD  - Intelligent Equipment Research Center, Beijing Academy of Agriculture and 
      Forestry Sciences, Beijing 100097, China; College of Engineering and Technology, 
      Southwest University, Chongqing 400715, China.
FAU - Li, Bin
AU  - Li B
AD  - Intelligent Equipment Research Center, Beijing Academy of Agriculture and 
      Forestry Sciences, Beijing 100097, China. Electronic address: lib@nercita.org.cn.
FAU - Li, Guanglin
AU  - Li G
AD  - College of Engineering and Technology, Southwest University, Chongqing 400715, 
      China. Electronic address: liguanglin@swu.edu.cn.
FAU - Lang, Chongchong
AU  - Lang C
AD  - Intelligent Equipment Research Center, Beijing Academy of Agriculture and 
      Forestry Sciences, Beijing 100097, China.
FAU - Wang, Haifeng
AU  - Wang H
AD  - Intelligent Equipment Research Center, Beijing Academy of Agriculture and 
      Forestry Sciences, Beijing 100097, China.
FAU - Zhu, Jun
AU  - Zhu J
AD  - Intelligent Equipment Research Center, Beijing Academy of Agriculture and 
      Forestry Sciences, Beijing 100097, China.
FAU - Jia, Nan
AU  - Jia N
AD  - Intelligent Equipment Research Center, Beijing Academy of Agriculture and 
      Forestry Sciences, Beijing 100097, China.
FAU - Liu, Lirong
AU  - Liu L
AD  - Intelligent Equipment Research Center, Beijing Academy of Agriculture and 
      Forestry Sciences, Beijing 100097, China.
LA  - eng
PT  - Journal Article
DEP - 20211209
PL  - England
TA  - Spectrochim Acta A Mol Biomol Spectrosc
JT  - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
JID - 9602533
SB  - IM
MH  - Chemometrics
MH  - Least-Squares Analysis
MH  - Support Vector Machine
MH  - *Terahertz Spectroscopy
MH  - Triticum
OTO - NOTNLM
OT  - Chemometrics
OT  - SVM model
OT  - Terahertz spectroscopy
OT  - Wheat
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- 2021/12/19 06:00
MHDA- 2022/01/27 06:00
CRDT- 2021/12/18 20:30
PHST- 2021/07/17 00:00 [received]
PHST- 2021/11/12 00:00 [revised]
PHST- 2021/11/30 00:00 [accepted]
PHST- 2021/12/19 06:00 [pubmed]
PHST- 2022/01/27 06:00 [medline]
PHST- 2021/12/18 20:30 [entrez]
AID - S1386-1425(21)01271-3 [pii]
AID - 10.1016/j.saa.2021.120694 [doi]
PST - ppublish
SO  - Spectrochim Acta A Mol Biomol Spectrosc. 2022 Mar 15;269:120694. doi: 
      10.1016/j.saa.2021.120694. Epub 2021 Dec 9.