Chemometric discrimination of eight citrus plants utilizing chromatographic and spectroscopic techniques and insights into their biological potentials.

Autor:	Elhady SS; King Abdulaziz University Herbarium, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.; Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.; Center for Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah 21589, Saudi Arabia., Youssef FS; Department of Pharmacognosy, Faculty of Pharmacy, Ain-Shams University, Abbasia, Cairo, 11566, Egypt., Lashkar MO; Department of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, Jeddah, 21589, Saudi Arabia., Hamdan DI; Department of Pharmacognosy and Natural Products, Faculty of Pharmacy, Menoufia University, Shibin Elkom, 32511, Egypt., Ashour ML; Department of Pharmacognosy, Faculty of Pharmacy, Ain-Shams University, Abbasia, Cairo, 11566, Egypt.; Pharmacy Program, Department of Pharmaceutical Sciences, Batterjee Medical College, Jeddah, 21442, Saudi Arabia., Zengin G; Department of Biology, Science Faculty, Selcuk University, Konya, 42130, Turkey., Gamal El-Din MI; Department of Pharmacognosy, Faculty of Pharmacy, Ain-Shams University, Abbasia, Cairo, 11566, Egypt.
Jazyk:	angličtina
Zdroj:	Current research in food science [Curr Res Food Sci] 2024 Jul 04; Vol. 9, pp. 100803. Date of Electronic Publication: 2024 Jul 04 (Print Publication: 2024).
DOI:	10.1016/j.crfs.2024.100803
Abstrakt:	Citrus sinensis balady orange, C. sinensis navel orange, C. paradisi , C. limon, C. sinensis bloody orange, C. sinensis sweet orange, C. aurantium var. amara and C. reticulata were successfully discriminated using chromatographic and spectroscopic techniques coupled with chemometrics. Ultraviolet spectroscopy (UV), and nuclear magnetic resonance spectroscopy (NMR) managed to discriminate the alcohol extract samples to six and five clusters respectively on exposing the obtained data to Principle component analysis (PCA). High performance liquid chromatography (HPLC) was utilized for differentiating the different samples based upon their rutin content where C. aurantium demonstrated the highest rutin content (0.795 mg/mL). LC-ESI-MS led to the identification of 35 compounds belonging mainly to flavonoids and limonoids. In vitro biological investigations including DDPH, ABTS, FRAP and enzyme inhibitory activities revealed the promising antioxidant, neuroprotective, anti-hyperglycaemic and skin-lightning potentials of citrus samples that were correlated with the total phenol and flavonoid contents. In silico ADME/TOPKAT reflected the acceptable pharmacokinetic, pharmacodynamic and toxicity properties of the identified secondary metabolites. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2024 The Authors. Published by Elsevier B.V.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu