PMID- 28832506
OWN - NLM
STAT- MEDLINE
DCOM- 20180503
LR  - 20181207
IS  - 1420-3049 (Electronic)
IS  - 1420-3049 (Linking)
VI  - 22
IP  - 9
DP  - 2017 Aug 23
TI  - Determination and Visualization of Peimine and Peiminine Content in Fritillaria 
      thunbergii Bulbi Treated by Sulfur Fumigation Using Hyperspectral Imaging with 
      Chemometrics.
LID - 10.3390/molecules22091402 [doi]
LID - 1402
AB  - Rapid, non-destructive, and accurate quantitative determination of the effective 
      components in traditional Chinese medicine (TCM) is required by industries, 
      planters, and regulators. In this study, near-infrared hyperspectral imaging was 
      applied for determining the peimine and peiminine content in Fritillaria 
      thunbergii bulbi under sulfur fumigation. Spectral data were extracted from the 
      hyperspectral images. High-performance liquid chromatography (HPLC) was conducted 
      to determine the reference peimine and peiminine content. The successive 
      projection algorithm (SPA), weighted regression coefficient (Bw), competitive 
      adaptive reweighted sampling (CARS), and random frog (RF) were used to select 
      optimal wavelengths, while the partial least squares (PLS), least-square support 
      vector machine (LS-SVM) and extreme learning machine (ELM) were used to build 
      regression models. Regression models using the full spectra and optimal 
      wavelengths obtained satisfactory results with the correlation coefficient of 
      calibration (r(c)), cross-validation (r(cv)) and prediction (r(p)) of most models 
      being over 0.8. Prediction maps of peimine and peiminine content in Fritillaria 
      thunbergii bulbi were formed by applying regression models to the hyperspectral 
      images. The overall results indicated that hyperspectral imaging combined with 
      regression models and optimal wavelength selection methods were effective in 
      determining peimine and peiminine content in Fritillaria thunbergii bulbi, which 
      will help in the development of an online detection system for real-world quality 
      control of Fritillaria thunbergii bulbi under sulfur fumigation.
FAU - He, Juan
AU  - He J
AD  - Zhejiang Academy of Traditional Chinese Medicine, Key Laboratory of Research and 
      Development of Chinese Medicine of Zhejiang Province, Hangzhou 310007, China. 
      hej0516@126.com.
FAU - He, Yong
AU  - He Y
AD  - College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 
      310058, China. yhe@zju.edu.cn.
FAU - Zhang, And Chu
AU  - Zhang AC
AD  - College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 
      310058, China. chuzh@zju.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20170823
PL  - Switzerland
TA  - Molecules
JT  - Molecules (Basel, Switzerland)
JID - 100964009
RN  - 0 (Cevanes)
RN  - 70FD1KFU70 (Sulfur)
RN  - JKN43410XZ (peiminine)
SB  - IM
MH  - Cevanes/analysis/*chemistry
MH  - Fritillaria/*chemistry
MH  - Fumigation/*methods
MH  - Regression Analysis
MH  - *Spectrum Analysis/methods
MH  - *Sulfur/chemistry
PMC - PMC6151643
OTO - NOTNLM
OT  - Fritillaria thunbergii bulbus
OT  - near-infrared hyperspectral imaging
OT  - peimine
OT  - peiminine
OT  - prediction map
COIS- The authors declare no conflicts of interest.
EDAT- 2017/08/24 06:00
MHDA- 2018/05/04 06:00
PMCR- 2017/08/23
CRDT- 2017/08/24 06:00
PHST- 2017/07/24 00:00 [received]
PHST- 2017/08/21 00:00 [revised]
PHST- 2017/08/21 00:00 [accepted]
PHST- 2017/08/24 06:00 [entrez]
PHST- 2017/08/24 06:00 [pubmed]
PHST- 2018/05/04 06:00 [medline]
PHST- 2017/08/23 00:00 [pmc-release]
AID - molecules22091402 [pii]
AID - molecules-22-01402 [pii]
AID - 10.3390/molecules22091402 [doi]
PST - epublish
SO  - Molecules. 2017 Aug 23;22(9):1402. doi: 10.3390/molecules22091402.