scholarly journals Analysis of Flavonoid Metabolites in Buckwheat Leaves Using UPLC-ESI-MS/MS

Molecules ◽  
2019 ◽  
Vol 24 (7) ◽  
pp. 1310 ◽  
Author(s):  
Jing Li ◽  
Pu Yang ◽  
Qinghua Yang ◽  
Xiangwei Gong ◽  
Hongchi Ma ◽  
...  
Keyword(s):  
Clustering Analysis ◽  
Principal Component ◽  
Ultra Performance Liquid Chromatography ◽  
Tartary Buckwheat ◽  
Biological Functions ◽  
Common Buckwheat ◽  
Flavonoid Content ◽  
Esi Ms ◽  
Orthogonal Signal Correction ◽  
Signal Correction

Flavonoids from plants are particularly important in our diet. Buckwheat is a special crop that is rich in flavonoids. In this study, four important buckwheat varieties, including one tartary buckwheat and three common buckwheat varieties, were selected as experimental materials. The total flavonoid content of leaves from red-flowered common buckwheat was the highest, followed by tartary buckwheat leaves. A total of 182 flavonoid metabolites (including 53 flavone, 37 flavonol, 32 flavone C-glycosides, 24 flavanone, 18 anthocyanins, 7 isoflavone, 6 flavonolignan, and 5 proanthocyanidins) were identified based on Ultra Performance Liquid Chromatography–Electrospray Ionization–Tandem Mass Spectrometry (UPLC-ESI-MS/MS) system. Through clustering analysis, principal component analysis (PCA), and orthogonal signal correction and partial least squares-discriminant analysis (OPLS-DA), different samples were clearly separated. Considerable differences were observed in the flavonoid metabolites between tartary buckwheat leaves and common buckwheat leaves, and both displayed unique metabolites with important biological functions. This study provides new insights into the differences of flavonoid metabolites between tartary buckwheat and common buckwheat leaves and provides theoretical basis for the sufficient utilization of buckwheat.

scholarly journals Metabolic Variations of Flavonoids in Leaves of T. media and T. mairei Obtained by UPLC-ESI-MS/MS

Molecules ◽  
2019 ◽  
Vol 24 (18) ◽  
pp. 3323 ◽  
Author(s):  
Tao Wang ◽  
Fengjiao Zhang ◽  
Weibing Zhuang ◽  
Xiaochun Shu ◽  
Zhong Wang
Keyword(s):  
Theoretical Basis ◽  
Anthocyanin Biosynthesis ◽  
Ultra Performance Liquid Chromatography ◽  
Phenylpropanoid Pathway ◽  
Total Flavonoids ◽  
Flavonoid Content ◽  
Esi Ms ◽  
Taxus Mairei ◽  
Novel Drugs ◽  
First Time

The needles of Taxus species contain a large number of bioactive compounds, such as flavonoids. In the present study, the total flavonoid content in leaves of Taxus media and Taxus mairei was 19.953 and 14.464 mg/g, respectively. A total of 197 flavonoid metabolites (70 flavones, 42 flavonols, 26 flavone C-glycosides, 20 flavanones, 15 anthocyanins, 13 isoflavones, 6 flavonolignans, and 5 proanthocyanidins) were identified for the first time by a widely targeted Ultra Performance Liquid Chromatography-Electrospray Ionization-Tandem Mass Spectrometry (UPLC-ESI-MS/MS) method within the two Taxus species, containing 160 common metabolites, with 37 unique metabolites merely determined in T. mairei or T. media. Moreover, 42 differential flavonoid metabolites were screened in the two Taxus species, which showed specific metabolic patterns in isoflavonoid biosynthesis, anthocyanin biosynthesis, and flavone and flavonol biosynthesis pathways. Compared to T. mairei, a more activated phenylpropanoid pathway was found in T. media, which could be responsible for the higher content of total flavonoids in T. media. Our results provide new insights into the diversity of flavonoid metabolites between T. mairei and T. media, and provide a theoretical basis for the sufficient utilization of Taxus species and the development of novel drugs.

scholarly journals Analysis of Flavonoid Metabolites in Citrus Peels (Citrus reticulata “Dahongpao”) Using UPLC-ESI-MS/MS

Molecules ◽  
2019 ◽  
Vol 24 (15) ◽  
pp. 2680 ◽  
Author(s):  
Fu Wang ◽  
Lin Chen ◽  
Hongping Chen ◽  
Shiwei Chen ◽  
Youping Liu
Keyword(s):  
Biological Activities ◽  
Antioxidant Properties ◽  
Principal Component ◽  
The Other ◽  
Citrus Reticulata ◽  
Flavonoid Content ◽  
Esi Ms ◽  
Medicinal Value ◽  
Citrus Peels ◽  
Citrus Varieties

Flavonoids are a kind of essential substance for the human body because of their antioxidant properties and extremely high medicinal value. Citrus reticulata “Dahongpao” (DHP) is a special citrus variety that is rich in flavonoids, however little is known about its systematic flavonoids profile. In the present study, the presence of flavonoids in five important citrus varieties, including DHP, Citrus grandis Tomentosa (HZY), Citrus ichangensis Swingle (YCC), Citrus sinensis (L.) Osbeck (TC), and Citrus reticulata ‘Buzhihuo’ (BZH), was determined using a UPLC-ESI-MS/MS-based, widely targeted metabolome. Results showed that a total of 254 flavonoid metabolites (including 147 flavone, 39 flavonol, 21 flavanone, 24 anthocyanins, 8 isoflavone, and 15 polyphenol) were identified. The total flavonoid content of peels from DHP was the highest. DHP could be clearly separated from other samples through clustering analysis and principal component analysis (PCA). Further, 169 different flavonoid metabolites were observed between DHP peels and the other four citrus peels, and 26 down-regulated differential metabolites displayed important biological activities in DHP. At the same time, a unique flavonoid component, tricin 4′-O-syringyl alcohol, was only found in DHP, which could be used as a marker to distinguish between other varieties. This work might facilitate a better understanding of flavonoid metabolites between DHP peels and the other four citrus peels and provide a reference for its sufficient utilization in the future.

scholarly journals Penerapan Teknologi Visible-Near Infrared Spectroscopy untuk Prediksi Cepat dan Simultan Kadar Air Buah Melon (Cucumis melo L.) Golden

Agroteknika ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 67-74
Author(s):  
Yuda Hadiwijaya ◽  
Kusumiyati Kusumiyati ◽  
Agus Arip Munawar
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Cucumis Melo ◽  
Partial Least Squares Regression ◽  
Near Infrared ◽  
Principal Component ◽  
Least Squares Regression ◽  
Orthogonal Signal Correction ◽  
Signal Correction ◽  
Cucumis Melo L

Kadar air merupakan salah satu atribut kualitas yang penting pada komoditas hortikultura. Penetapan kadar air buah melon dengan metode konvensional memakan waktu yang lama dan perlu merusak sampel buah. Penelitian ini bertujuan untuk memprediksi kadar air buah melon golden menggunakan teknologi visible-near infrared spectroscopy (Vis-NIRS). Metode koreksi spektra orthogonal signal correction (OSC) diterapkan pada spektra original untuk meningkatkan kehandalan model kalibrasi. Partial least squares regression (PLSR) digunakan sebagai metode pendekatan regresi untuk mengekstraksi data spektra Vis-NIRS. Hasil penelitian membuktikan bahwa Vis-NIRS dapat diandalkan untuk memprediksi kadar air buah melon golden. Metode koreksi spektra OSC mampu memperkecil jumlah principal component (PC) pada spektra original. Linieritas pada model kalibrasi menggunakan spektra OSC tercatat memperoleh nilai tertinggi sebesar 0,92. Ratio of performance to deviation (RPD) pada spektra OSC menampilkan nilai tertinggi pula yaitu 3,63. Model kalibrasi yang diperoleh pada penelitian ini dapat ditransfer ke dalam spektrometer Vis-NIRS untuk prediksi kadar air melon golden secara cepat dan simultan.

scholarly journals Comprehensive Investigation of Moringa oleifera from Different Regions by Simultaneous Determination of 11 Polyphenols Using UPLC-ESI-MS/MS

Molecules ◽  
2020 ◽  
Vol 25 (3) ◽  
pp. 676 ◽  
Author(s):  
Yanqin Zhu ◽  
Qinhong Yin ◽  
Yaling Yang
Keyword(s):  
Moringa Oleifera ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Ultra Performance Liquid Chromatography ◽  
Soil Environment ◽  
Cultivation Conditions ◽  
Esi Ms ◽  
Analysis Methodology ◽  
Polyphenol Profile

In this study, we develop and validate a simultaneous quantification of polyphenols method based on an ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI-MS/MS) to adequately understand how different habitats influence the quality and profile of Moringa oleifera polyphenol. Furthermore, principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used to compare and discriminate 25 samples collected from different areas. A significant correlation was found between the polyphenol profile and the collection area. Significant differences in the polyphenol content of Moringa oleifera from different regions indicate that the genetic diversity of Moringa oleifera was relatively rich, possibly due to differences in cultivation conditions, climate, or soil environment resulting in the accumulation of different polyphenols. These observations provide a theoretical basis for subsequent Moringa oleifera germplasm selection and development research. Furthermore, the quantitative analysis methodology used to characterize the polyphenols may be used toward developing quality assessment and future pharmacodynamic investigations of Moringa oleifera.

scholarly journals Metabolite Profiling of Different Sweet sorghum cultivars Seeds

2019 ◽  
Author(s):  
Yaxing Zhou ◽  
Zhenguo Wang ◽  
Yan Li ◽  
Zhigang Li ◽  
Hui Liu ◽  
...  
Keyword(s):  
Sweet Sorghum ◽  
Principal Component ◽  
Venn Diagram ◽  
Seed Color ◽  
Benzoic Acid Derivatives ◽  
Orthogonal Signal Correction ◽  
Signal Correction ◽  
Comparison Groups ◽  
Different Color ◽  
Diagram Analysis

Abstract Background Sorghum bicolor is one of the most important cereal crops in the world and is widely grown in arid or semi-arid areas. Results This study focused on the metabolic Diversity of three Sweet sorghum cultivars with white, red, and purple seeds to elucidate the factors responsible for the differences in Seed color. We found 651 metabolites were divided into 24 categories including Lipids_Fatty acids, Lipids_Glycerolipids, Flavonoid, Benzoic acid derivatives, Anthocyanins, Nucleotide and its derivates, etc. Through clustering analysis, principal component analysis (PCA), and orthogonal signal correction and partial least squares-discriminant analysis (OPLS-DA), different samples were clearly separated. It shows that contained metabolites of three groups are quite different. There are 217 significantly different metabolites between Z27 and HC4 (106 down-regulated, 111up-regulated), 240 between Z6 and HC4 (58 down-regulated, 182 up-regulated), 199 between Z6 and Z27 (54 down-regulated, 135 up-regulated). Venn diagram analysis indicated that 45 the differential metabolites were common to all three comparison groups. Conclusions This study provides new insights into the differences of metabolites between different color seeds and provides theoretical basis for the sufficient utilization of Sweet sorghum cultivars.

scholarly journals Characterization of two closely related citrus cultivars using UPLC-ESI-MS/MS-based widely targeted metabolomics

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254759
Author(s):  
Fu Wang ◽  
Lin Chen ◽  
Shiwei Chen ◽  
Hongping Chen ◽  
Youping Liu
Keyword(s):  
Effective Means ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Morphological Identification ◽  
Targeted Metabolomics ◽  
Esi Ms ◽  
Orthogonal Signal Correction ◽  
Widely Targeted Metabolomics ◽  
Quality Difference

Citrus cultivars are widely spread worldwide, and some of them only differ by specific mutations along the genome. It is difficult to distinguish them by traditional morphological identification. To accurately identify such similar cultivars, the subtle differences between them must be detected. In this study, UPLC-ESI-MS/MS-based widely targeted metabolomics analysis was conducted to study the chemical differences between two closely related citrus cultivars, Citrus reticulata ‘DHP’ and C. reticulata ‘BZH’. Totally 352 metabolites including 11 terpenoids, 35 alkaloids, 80 phenolic acids, 25 coumarins, 7 lignans, 184 flavonoids and 10 other compounds were detected and identified; Among them, 15 metabolites are unique to DHP and 16 metabolites are unique to BZH. Hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal signal correction and partial least squares-discriminant analysis (OPLS-DA) can be used to clearly discriminate between DHP and BZH. 93 metabolites including 36 down-regulated and 57 up-regulated are significantly different in DHP and BZH. They are mainly involved in the biosynthesis of flavonoids, flavones, flavonols, and isoflavonoids. In addition, the relative content levels of flavonoids, alkaloids, and terpenoids are much higher in the peel of DHP than that of BZH, the presence of which may correlate with the quality difference of the peels. The results reported herein indicate that metabolite analysis based on UPLC-ESI-MS/MS is an effective means of identifying cultivars with different genotypes, especially those that cannot be distinguished based on traditional identification methods.

Effects of Saccharomyces Cerevisiae Strains on Chemical Profiles of Cabernet Sauvignon Wines: Based on the Combined Results of 1H NMR, HS-SPME/GC-MS and HPLC-DAD-ESI-MS/MS

2018 ◽  
Vol 18 (2) ◽  
pp. 115-131
Author(s):  
Liang Heng-Yu ◽  
Su Ning ◽  
Guo Kun ◽  
Wang Yuan ◽  
Yang De-Yu
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Principal Component ◽  
Grape Juice ◽  
Pilot Scale ◽  
Ethyl Esters ◽  
Cabernet Sauvignon ◽  
Esi Ms ◽  
H Nmr ◽  
Chemical Profiles ◽  
Indigenous Yeasts

Five Saccharomyces cerevisiae strains (Chinese indigenous yeasts SC5, WC5, SC8, CC17 and commercial starter F15) were inoculated into Cabernet sauvignon grape must and fermented at pilot scale. For the first time, combination of 1H NMR, HS-SPME/GC-MS and HPLC-DAD-ESI-MS/MS metabonomic profiling techniques was performed to analyze the global chemical fingerprints of sampled wines at the end of alcoholic and malolactic fermentation respectively, then 13 non-volatile flavor compounds, 52 volatile organic aromas and 43 polyphenolic molecules were identified and determined correspondently. All principal component analysis (PCA) of two fermentation stages based on the analytical results of 1H NMR, HS-SPME/GC-MS and HPLC-DAD-ESI-MS/MS divided these strains into three clusters: (1) SC5 and SC8, (2) WC5 and F15 and (3) CC17. The wine fermented by indigenous yeast, CC17, showed a very unique chemical profile, such as low pH and high color intensity, reduced amino acids (including proline) and the lowest total higher alcohols levels, most of the fixed acids, glycerol, ethyl esters and anthocyanins concentrations. The statistical results indicate that CC17 strain possesses very special anabolism and catabolism abilities on such substances in grape juice and has potentiality to produce characteristic wines with high qualities.

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