Correlations between phytochemical fingerprints of Moringa oleifera leaf extracts and their antioxidant activities revealed by chemometric analysis

Abstract

Introduction Moringa oleifera Lam. is widely cultivated and applied in tropical and subtropical areas. Numerous studies have been focused on the antioxidant capacity of M. oleifera leaves, but its correlated bioactive phytochemicals remain elusive. Objective In order to search for the corresponding chemical compounds from M. oleifera leaves responsible for their antioxidant activity, the correlations between phytochemical fingerprints of 15 batches of M. oleifera leaves and their antioxidant activities were investigated by using chemometric analysis. Material and Methods Fifteen batches of M. oleifera leaves were extracted with 90% ethanol solution, and their phytochemical fingerprints and antioxidant activities were estimated by using high‐performance liquid chromatography‐ultraviolet‐electrospray ionisation tandem mass spectrometry (HPLC‐UV/ESI‐MS/MS), and three detected methods, namely 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) assay, 2,2′‐azinobis‐(3‐ethylbenzthiazoline‐6‐sulfonic acid) (ABTS) assay and ferric‐reducing antioxidant power (FRAP) assay, respectively. Chemometric analysis was then applied to reveal the correlations between their phytochemical fingerprints and corresponding antioxidant capacity. Results Fifteen M. oleifera leaf extracts exhibited strong antioxidant activities, in which 24 common compounds were identified by LC–MS. Furthermore, the partial least squares (PLS) analysis indicated that compounds 14, 16, 18 and 23 were the main potential effective components in at least two antioxidant tests. They were identified as kaempferol 3‐O‐rutinoside, quercetin 3‐O‐(6″‐malonyl‐glucoside), kaempferol 3‐O‐glucoside, and quercetin derivative, respectively. Conclusion The correlations between phytochemical fingerprints of M. oleifera leaf extracts and their corresponding antioxidant capacities were revealed by chemometric analysis, which provides an alternative method for screening for potential bioactive compounds with antioxidant capacity from M. oleifera leaves.

Moringa oleifera Leaf Extract Promotes Healing of Infected Wounds in Diabetic Rats: Evidence of Antimicrobial, Antioxidant and Proliferative Properties

“…M. oleifera contains a number of antioxidants that are effective both in vivo and in vitro [ 5 ]. Some of the known antioxidants present in the leaves include kaempferol 3-O-rutinoside, quercetin 3-O-(6″-malonyl-glucoside) and kaempferol 3-O-glucoside [ 26 ]. An increase in the activities of SOD and catalase by the M. oleifera leaf extract formulation in the current study showed that the scavenging of free radicals may have contributed to the increased healing of wounds.…”

Potential Anti-aging Components From Moringa oleifera Leaves Explored by Affinity Ultrafiltration With Multiple Drug Targets

“…Moringa oleifera ( M. oleifera ) is native to India, and it is widely planted and used in tropical and subtropical areas in recent decades, due to its high nutritive values in proteins, amino acids, fats, minerals, and vitamins ( 3 ). In contrast, the complex and diverse chemical components including flavonoids, phenolic acids, glucosinolates, and nitrile glycosides in M. oleifera lead to its numerous pharmacological activities, for example, antioxidant ( 4 ), anti-inflammatory ( 5 ), antibacterial ( 6 ), anticancer ( 7 ), hypoglycemic ( 8 ), and hypolipidemic ( 9 ) activities. Therefore, M. oleifera has received increasing attention in recent years.…”

Chemical composition and antibacterial activity of 12 medicinal plant ethyl acetate extracts using LC–MS feature‐based molecular networking

“…Agilent Masshunter qualitative software was used in raw data acquisition. The multivariate statistical analysis was performed by SIMCA‐P (version 14.1) 42 and ClusterApp (http://dorresteinappshub.ucsd.edu:3838/clusterMetaboApp0.9.1/?tdsourcetag = s_pcqq_aiomsg). In the correlation analysis, Pearson method was used to search important chemical variables via R language (Supporting Information Parameter 2).…”

“…Pearson correlation of MICs and IZD was calculated by linear regression analysis (P < 0.0001).Agilent Masshunter qualitative software was used in raw data acquisition. The multivariate statistical analysis was performed by SIMCA-P (version 14.1)42 and ClusterApp (http://dorresteinappshub. ucsd.edu:3838/clusterMetaboApp0.9.1/?…”