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Qunfeng Zhang

Publications -  34
Citations -  928

Qunfeng Zhang is an academic researcher. The author has contributed to research in topics: Chemistry & Camellia sinensis. The author has an hindex of 12, co-authored 25 publications receiving 518 citations.

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Effects of long-term nitrogen application on soil acidification and solution chemistry of a tea plantation in China

TL;DR: The results confirm the previous findings that a high nitrogen application rate can accelerate soil acidification in a tea plantation, and that the subsoil is particularly susceptible to acidification after heavy nitrogen fertilization.
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Metabolomic Analyses Reveal Distinct Change of Metabolites and Quality of Green Tea during the Short Duration of a Single Spring Season

TL;DR: The results suggested that the fluctuation of green tea quality in the spring season was caused by changes of metabolite phenotypes in young shoots, which was likely related to the remobilization of carbon and nitrogen reserves from mature leaves.
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Metabolomic analysis using ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry (UPLC-Q-TOF MS) uncovers the effects of light intensity and temperature under shading treatments on the metabolites in tea.

TL;DR: Comparison between two shading treatments indicated that the lower temperature under Nano shading decreased flavonols and their glycosides but increased accumulation of flavan-3-ols and proanthocyanidins, suggesting competition for substrates between the up- and down-stream branches of the phenylpropanoid/flavonoid pathway was influenced by light intensity and temperature.
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Metabolomics analysis reveals the metabolic and functional roles of flavonoids in light-sensitive tea leaves.

TL;DR: The results suggest that reactive oxygen species (ROS) scavenging and the antioxidation effects of Flavonoids help chlorotic tea plants survive under high light stress, providing new evidence to clarify the functional roles of flavonoids, which accumulate to high levels in tea plants.
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Multi-element composition and isotopic signatures for the geographical origin discrimination of green tea in China: A case study of Xihu Longjing

TL;DR: Wang et al. as discussed by the authors used Linear Discrimination Analysis (LDA), Partial Least Squares Discriminative Analysis (PLS-DA), and Decision Tree (DT) to discriminate the geographical origin of green tea.