Abstract
For an experimental model to elucidate the relationship between light quality during plant culture conditions and plant quality of crops or vegetables, we cultured tea plants (Camellia sinensis) and analyzed their leaves as tea material. First, metabolic profiling of teas from a tea contest in Japan was performed with gas chromatography/mass spectrometry (GC/MS), and then a ranking predictive model was made which predicted tea rankings from their metabolite profile. Additionally, the importance of some compounds (glutamine, glutamic acid, oxalic acid, epigallocatechin, phosphoric acid, and inositol) was elucidated for measurement of the quality of tea leaf. Subsequently, tea plants were cultured in artificial conditions to control these compounds. From the result of prediction by the ranking predictive model, the tea sample supplemented with ultraviolet-A (315–399 nm) showed the highest ranking. The improvement in quality was thought to come from the high amino-acid and decreased epigallocatechin content in tea leaves. The current study shows the use and value of metabolic profiling in the field of high-quality crops and vegetables production that has been conventionally evaluated by human sensory analysis. Metabolic profiling enables us to form hypothesis to understand and develop high quality plant cultured under artificial condition.
| Original language | English |
|---|---|
| Pages (from-to) | 197-202 |
| Number of pages | 6 |
| Journal | Journal of Bioscience and Bioengineering |
| Volume | 123 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 1 2017 |
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All Science Journal Classification (ASJC) codes
- Biotechnology
- Bioengineering
- Applied Microbiology and Biotechnology
Cite this
Quality evaluation of green tea leaf cultured under artificial light condition using gas chromatography/mass spectrometry. / Miyauchi, Shunsuke; Yonetani, Tsutomu; Yuki, Takayuki; Tomio, Ayako; Bamba, Takeshi; Fukusaki, Eiichiro.
In: Journal of Bioscience and Bioengineering, Vol. 123, No. 2, 01.02.2017, p. 197-202.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Quality evaluation of green tea leaf cultured under artificial light condition using gas chromatography/mass spectrometry
AU - Miyauchi, Shunsuke
AU - Yonetani, Tsutomu
AU - Yuki, Takayuki
AU - Tomio, Ayako
AU - Bamba, Takeshi
AU - Fukusaki, Eiichiro
PY - 2017/2/1
Y1 - 2017/2/1
N2 - For an experimental model to elucidate the relationship between light quality during plant culture conditions and plant quality of crops or vegetables, we cultured tea plants (Camellia sinensis) and analyzed their leaves as tea material. First, metabolic profiling of teas from a tea contest in Japan was performed with gas chromatography/mass spectrometry (GC/MS), and then a ranking predictive model was made which predicted tea rankings from their metabolite profile. Additionally, the importance of some compounds (glutamine, glutamic acid, oxalic acid, epigallocatechin, phosphoric acid, and inositol) was elucidated for measurement of the quality of tea leaf. Subsequently, tea plants were cultured in artificial conditions to control these compounds. From the result of prediction by the ranking predictive model, the tea sample supplemented with ultraviolet-A (315–399 nm) showed the highest ranking. The improvement in quality was thought to come from the high amino-acid and decreased epigallocatechin content in tea leaves. The current study shows the use and value of metabolic profiling in the field of high-quality crops and vegetables production that has been conventionally evaluated by human sensory analysis. Metabolic profiling enables us to form hypothesis to understand and develop high quality plant cultured under artificial condition.
AB - For an experimental model to elucidate the relationship between light quality during plant culture conditions and plant quality of crops or vegetables, we cultured tea plants (Camellia sinensis) and analyzed their leaves as tea material. First, metabolic profiling of teas from a tea contest in Japan was performed with gas chromatography/mass spectrometry (GC/MS), and then a ranking predictive model was made which predicted tea rankings from their metabolite profile. Additionally, the importance of some compounds (glutamine, glutamic acid, oxalic acid, epigallocatechin, phosphoric acid, and inositol) was elucidated for measurement of the quality of tea leaf. Subsequently, tea plants were cultured in artificial conditions to control these compounds. From the result of prediction by the ranking predictive model, the tea sample supplemented with ultraviolet-A (315–399 nm) showed the highest ranking. The improvement in quality was thought to come from the high amino-acid and decreased epigallocatechin content in tea leaves. The current study shows the use and value of metabolic profiling in the field of high-quality crops and vegetables production that has been conventionally evaluated by human sensory analysis. Metabolic profiling enables us to form hypothesis to understand and develop high quality plant cultured under artificial condition.
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UR - http://www.scopus.com/inward/citedby.url?scp=84994120980&partnerID=8YFLogxK
U2 - 10.1016/j.jbiosc.2016.07.017
DO - 10.1016/j.jbiosc.2016.07.017
M3 - Article
C2 - 27568369
AN - SCOPUS:84994120980
VL - 123
SP - 197
EP - 202
JO - Journal of Bioscience and Bioengineering
JF - Journal of Bioscience and Bioengineering
SN - 1389-1723
IS - 2
ER -