scholarly journals Corrigendum to “Integrated analytical workflow for chromatographic profiling and metabolite annotation of a cytotoxic Phorbas amaranthus extract” [J. Chromatogr. 1774 (2021) 122720]

2021 ◽  
pp. 122763
Author(s):  
Bruno S. do Amaral ◽  
Fernanda B. da Silva ◽  
Gabriel Mazzi Leme ◽  
Letícia S.S. Schmitz ◽  
Paula C. Jimenez ◽  
...  
Keyword(s):  
Metabolite Annotation ◽  
Chromatographic Profiling

Integrated analytical workflow for chromatographic profiling and metabolite annotation of a cytotoxic Phorbas amaranthus extract

2021 ◽  
pp. 122720
Author(s):  
Bruno S. do Amaral ◽  
Fernanda B. da Silva ◽  
Gabriel Mazzi Leme ◽  
Letícia S.S. Schmitz ◽  
Paula C. Jimenez ◽  
...  
Keyword(s):  
Metabolite Annotation ◽  
Chromatographic Profiling

scholarly journals Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches

2021 ◽  
Author(s):  
Mehdi A. Beniddir ◽  
Kyo Bin Kang ◽  
Grégory Genta-Jouve ◽  
Florian Huber ◽  
Simon Rogers ◽  
...  
Keyword(s):  
Natural Product ◽  
Large Scale ◽  
Scale Analysis ◽  
Computational Tools ◽  
Natural Product Discovery ◽  
Large Scale Analysis ◽  
Metabolite Annotation

This review highlights the key computational tools and emerging strategies for metabolite annotation, and discusses how these advances will enable integrated large-scale analysis to accelerate natural product discovery.

Ultra Performance Liquid Chromatographic Profiling of SerumN-Glycans for Fast and Efficient Identification of Cancer Associated Alterations in Glycosylation

2010 ◽  
Vol 82 (24) ◽  
pp. 10208-10215 ◽  
Author(s):  
Jonathan Bones ◽  
Stefan Mittermayr ◽  
Niaobh O’Donoghue ◽  
András Guttman ◽  
Pauline M. Rudd
Keyword(s):  
Liquid Chromatographic ◽  
Chromatographic Profiling

scholarly journals Chromatographic Profiling of Rose Petals in Unani Formulations (Gulkand, Arq-e-Gulab, and Rose Sharbat) Using HPTLC and GC–MS

2020 ◽  
Vol 103 (3) ◽  
pp. 684-691
Author(s):  
Rabea Parveen ◽  
Sultan Zahiruddin ◽  
Akshay Charegaonkar ◽  
Abhijeet Khale ◽  
Saikat Mallick
Keyword(s):  
Traditional Medicine ◽  
Chromatographic Analysis ◽  
Herbal Products ◽  
Unani Medicine ◽  
Ms Analysis ◽  
Rose Petals ◽  
The Rose ◽  
Hptlc Method ◽  
Chromatographic Profiling

Abstract Background: One of the most precious systems of traditional medicine is the Unani system of medicine. A wide variety of formulations indigenous to the Unani medicine have been preserved over the years. These formulations are potent and effective even after ages of postformulation. Rose petals are an example of such an herb, which is extensively and popularly used in Unani formulations for edible and cosmetic purposes. Rose petals are rich in terpenes, glycosides, flavonoids, and anthocyanins. Objective: The aim of this study was to characterize the phytochemical profiling of different rose varieties and their marketed formulations. Method: HPTLC method was developed for detecting overall profile and assessing variations among the rose varieties available in market along with the popular formulations of rose such as gulkand (Brand A and Brand B), Arq-e-gulab or Gulab Jal (Brand C), and sharbat (Brand D). GC–MS analysis was also carried out for fingerprinting of rose varieties and formulations. Results: HPTLC and GC–MS fingerprinting showed some common peaks in rose samples as well as in the formulation samples. The methods also gave different peaks for the adulterant that might be used in place of rose. Conclusions: Both the methods could be used for standardization of herbal products containing rose as one of the ingredients and also used to check for the adulteration. Highlights: The current advanced chromatographic analysis is a valuable tool to determine the quality of the formulation.

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