PMID- 30236701
OWN - NLM
STAT- MEDLINE
DCOM- 20190419
LR  - 20190419
IS  - 1873-7072 (Electronic)
IS  - 0308-8146 (Linking)
VI  - 271
DP  - 2019 Jan 15
TI  - Biomarkers-based classification between green teas and decaffeinated green teas 
      using gas chromatography mass spectrometer coupled with in-tube extraction 
      (ITEX).
PG  - 450-456
LID - S0308-8146(18)31283-4 [pii]
LID - 10.1016/j.foodchem.2018.07.137 [doi]
AB  - For identifying discriminatory biomarkers between green tea (GT) and 
      decaffeinated green tea (dGT), in-tube extraction (ITEX)-gas chromatograph-mass 
      spectrometer (GC-MS) was optimized to determine volatile organic compounds (VOCs) 
      from tea products. Biomarker selection between GT and dGT was then conducted by 
      random forest (RF). Optimized ITEX parameters by central composite design were an 
      incubation temperature of 92  degrees C, incubation time of 12 mins, and 36 for syringe 
      strokes. A training group of 24 samples and testing group of 21 samples were used 
      to RF classification of biomarkers identification. Results revealed that 
      2-hexenal, 2-ethyl furan, indole, and beta-ocimene were selected as discriminatory 
      biomarkers between GT and dGT in the training group. Using these biomarkers with 
      RF classification algorithms, prediction accuracy for dGT and GT were 88.9% and 
      100%, respectively, which was higher than for other classification algorithms. 
      This implies that ITEX-GC-MS can be a promising tool for quality control of 
      commercial tea products.
CI  - Copyright (c) 2018 Elsevier Ltd. All rights reserved.
FAU - Zhang, Lihua
AU  - Zhang L
AD  - School of Food and Bioengineering, Zhengzhou University of Light Industry, 
      Zhengzhou 450002, PR China.
FAU - Ku, Kang-Mo
AU  - Ku KM
AD  - Division of Plant and Soil Sciences, West Virginia University, Morgantown, WV 
      26506, USA. Electronic address: kangmo.ku@mail.wvu.edu.
LA  - eng
PT  - Journal Article
DEP - 20180721
PL  - England
TA  - Food Chem
JT  - Food chemistry
JID - 7702639
RN  - 0 (Biomarkers)
RN  - 0 (Tea)
RN  - 0 (Volatile Organic Compounds)
RN  - 3G6A5W338E (Caffeine)
SB  - IM
MH  - Biomarkers
MH  - Caffeine/*chemistry
MH  - Chromatography, Gas/*methods
MH  - Gas Chromatography-Mass Spectrometry/*methods
MH  - Mass Spectrometry
MH  - Tea/*classification
MH  - Volatile Organic Compounds/*analysis
OTO - NOTNLM
OT  - Biomarker
OT  - Green tea and decaffeinated green tea
OT  - Random forest
OT  - Volatile organic compounds
EDAT- 2018/09/22 06:00
MHDA- 2019/04/20 06:00
CRDT- 2018/09/22 06:00
PHST- 2018/01/11 00:00 [received]
PHST- 2018/06/27 00:00 [revised]
PHST- 2018/07/20 00:00 [accepted]
PHST- 2018/09/22 06:00 [entrez]
PHST- 2018/09/22 06:00 [pubmed]
PHST- 2019/04/20 06:00 [medline]
AID - S0308-8146(18)31283-4 [pii]
AID - 10.1016/j.foodchem.2018.07.137 [doi]
PST - ppublish
SO  - Food Chem. 2019 Jan 15;271:450-456. doi: 10.1016/j.foodchem.2018.07.137. Epub 
      2018 Jul 21.