Discovery and validation of quality markers of Fructus Aurantii against acetylcholinesterase using metabolomics and bioactivity assays

Wang, Yikun; Zhou, Zimeng; Dai, Manyun; Ma, Xiaofang; Xiao, Xue‐Rong; Zhang, Shouwen; Liu, Hongning; Li, Fēi

doi:10.1002/jssc.202001190

Cited by 12 publications

(7 citation statements)

References 33 publications

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“…When these analytical instruments are coupled with chemometric methods, a comprehensive analysis of the chemical components in plants could be obtained [22]. Among these analytical methods, LC‐MS caters well for metabolites that are non‐volatile, polar, or thermally labile, especially like phenolic acids and flavonoids [23–25]. Now, all these analytical approaches had been applied to researches on tomato, rice [26], tieguanyin tea [27], wheat, and bakery products [28].…”

Section: Introductionmentioning

confidence: 99%

Study on changes in pigment composition during the blooming period of safflower based on plant metabolomics and semi‐quantitative analysis

Zhang

Tang

et al. 2021

J of Separation Science

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Red and yellow pigments are the major ingredients of safflower, often used to color food and cosmetics. Carthamin was the main component of red pigment and hydroxysafflor yellow A and anhydrosafflower yellow B were representative components of yellow pigment. Plant metabolomics and semi‐quantitative analysis were used to analyze the changes of pigment composition during the blooming period, especially these characteristic components. Carthamin, hydroxysafflor yellow A, anhydrosafflower yellow B, and other components were screened out as differential metabolites based on plant metabolomics. Then semi‐quantitative analysis was used to quantify these three representative components of pigments. Experimental results showed that the content of pigments has dynamic changes along with flowering, in the early blooming period, yellow pigment accumulated much and red pigment was low in content. In the middle period, the accumulation rate of the yellow pigment slowed down and content was stabilized. In the next step, the content of yellow pigments gradually decreased, and the content of red pigments gradually increased. Later, the level of yellow pigment decreased significantly, and the accumulation rate of red pigment increased significantly. Last, the appearance color of safflower was red, with yellow parts barely visible, and accumulation of red pigment was the highest and of the yellow pigment was the lowest in content.

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Section: Introductionmentioning

confidence: 99%

Study on changes in pigment composition during the blooming period of safflower based on plant metabolomics and semi‐quantitative analysis

Zhang

Tang

et al. 2021

J of Separation Science

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“…OPLS‐DA can be used to establish the relationship mode between metabolite expression levels and sample categories, which can obtain better information on differences between groups better. At the same time, the mode can effectively separate samples and predict sample categories [42].…”

Section: Methodsmentioning

confidence: 99%

Quantitative fingerprint and antioxidative properties of Artemisia argyi leaves combined with chemometrics

Zhang

Wei

Wang

et al. 2023

J of Separation Science

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Quantitative fingerprint and differences of Artemisia argyi from different varieties, picking time, aging year, and origins were analyzed combing with chemometrics. The antioxidant activity was determined and antioxidant markers of Artemisia argyi were screened. Variety WA3 was significantly different from that of the other varieties. Fingerprint peak response and antioxidant activity of A. argyi picked in December were lower than samples collected in May and August. Fresh A. argyi leaves were significantly superior to withered leaves and stems. Artemisia argyi aging 1–5 years presented a classification trend. Antioxidant activity of A. argyi produced in Nanyang was generally superior to others origins. Peak 9, isochlorogenic acid A, and 6‐methoxyluteolin contributed greatly for classification of A. argyi from different variety, picking time, aging year, and origin. Isochlorogenic acid A, isochlorogenic acid C, 6‐methoxyluteolin, and chlorogenic acid were selected as antioxidant marker of A. argyi. The method based on quantitative fingerprint, antioxidant activity evaluation, and chemometrics was reliable to analyze the differences of A. argyi samples from different sources.

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“…To investigate the detailed intermolecular interactions, the molecular operating environment (MOE 2015.10) software package was used to perform various steps involved in docking simulation. The docking study was performed following the steps described in earlier reports [39][40][41][42].…”

Section: Molecular Dockingmentioning

confidence: 99%

Study on the preparation and enzyme inhibitory activity of polyphenols from Sargassum pallidum

Jiang,

Kong,

Tang

et al. 2024

PLoS ONE

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This study aimed to obtain a high yield and purity of Sargassum pallidum polyphenol extracts (SPPE) and study its enzyme activity. Fresh Sargassum pallidum seaweed was selected for optimization of ultrasound-assisted extraction (UAE) conditions and purification conditions using macroporous resin and Sephadex LH20 to obtain SPPE. The SPPE was characterized using UPLC-QTOF-MS/MS and α-amylase, α-glucosidase, tyrosinase, and AchE inhibitory activity were determined. The maximum extraction rate of SPPE was 7.56 mg GAE/g and the polyphenol purity reached 70.5% after macroporous resin and Sephadex LH-20 purification. A total of 50 compounds were identified by UPLC-QTOF-MS/MS. The IC50 values of SPPE were 334.9 μg/mL, 6.290 μg /mL, 0.834 mg /mL and 0.6538 mg /mL for α-amylase, α-glucosidase, tyrosinase and AchE, respectively. Molecular docking technology further revealed the effects of SPPE on the above enzymes. This study provided information on the potential hypoglycemic, whitening and anti-Alzheimer’s disease biological activities of SPPE, which had guiding significance for the purification and development of other seaweed polyphenols.

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Discovery and validation of quality markers of Fructus Aurantii against acetylcholinesterase using metabolomics and bioactivity assays

Cited by 12 publications

References 33 publications

Study on changes in pigment composition during the blooming period of safflower based on plant metabolomics and semi‐quantitative analysis

Study on changes in pigment composition during the blooming period of safflower based on plant metabolomics and semi‐quantitative analysis

Quantitative fingerprint and antioxidative properties of Artemisia argyi leaves combined with chemometrics

Study on the preparation and enzyme inhibitory activity of polyphenols from Sargassum pallidum

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