Dataset Information

Comprehensive evaluation of chemical composition and health-promoting effects with chemometrics analysis of plant derived edible oils

ABSTRACT: Highlights • 22 edible oils can be discriminated based on tocopherol and phytosterol contents.• In vitro antioxidant activity is correlated to polyphenol, tocopherol, and squalene.• Oxidative and heat stress resistance is correlated to tocopherol and phytosterol.• In vivo antioxidant activity is correlated to polyphenol, squalene, MUFA and PUFA. In the last decade, with a growing emphasis on healthy diets, functional edible oils with high nutritional quality are becoming increasingly popular around the world. This study systematically compared the chemical composition and protective effect of 22 vegetable oils using multivariate chemometric tools. The results showed that the fatty acid composition and minor compounds were extremely variable among tested oils. Hierarchical cluster and principal component analysis discriminated these oils according to the tocopherol and phytosterol contents. The Pearson’s correlation analysis indicated that in vitro radical scavenging capacity was significantly correlated to polyphenol, tocopherol, and squalene. Additionally, the ameliorate effects on the heat and oxidative stress, ROS contents, and antioxidant enzyme activities were measured in Caenorhabditis elegans. The results showed that the antioxidant activity and stress resistance were positively correlated to polyphenol, tocopherol, phytosterol, MUFA, and PUFA, respectively. This study may offer an insight into oil discrimination and functional oil exploitation.

SUBMITTER: Feng S

PROVIDER: S-EPMC9133763 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Essential oils (EOs) are complex and susceptible to environmental conditions, they have a wide range of biological activities and are often used to differentiate between similar species. In this study, gas chromatography-mass spectrometry (GC-MS) coupled with chemometric analysis was applied to systematically analyse and evaluate EOs constituents and antioxidant activity of six Chinese Cupressaceae taxa (Platycladus orientalis Franco, P. orientalis Franco 'Sieboldii', P. orientalis Franco 'Aurea', Juniperus chinensis Roxb., J. chinensis Roxb. 'Kaizuca', and J. sabina L.) under identical conditions. The antioxidant activity of the EOs was evaluated using 2,2 -diphenyl-1-picrylhydrazyl (DPPH), 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS), and ferric reducing power (FRAP), and the total phenolic content (TPC) of the EOs was determined by Folin-Ciocalteau reagent. In total, seventy individual constituents were identified with the main components being α-pinene, sabinene, D-limonene, bornyl acetate, δ-3-carene and β-myrcene. Principal component analysis (PCA) and hierarchal cluster analysis (HCA) successfully discriminated the six taxa into three chemotypes and the unique chemotype revealed that J. chinensis 'Kaizuca' may be a species rather than a cultivar of J. chinensis. The results of OPLS-DA analysis showed that the three compounds screened, namely, α-pinene, sabinene, and δ-3-carene, can completely distinguish Platycladus spp. from Juniperus spp. The DPPH assay results ranged from 576.14 (J. chinensis 'Kaizuca') to 1146.12 (J. sabina) μmol eq Trolox/mL EO, while the ABTS values ranged from 1579.62 (P. orientalis 'Aurea') to 5071.82 (J. sabina) μmol eq Trolox/mL. In the FRAP assay, the values ranged from 1086.50 (J. chinensis 'Kaizuca') to 1191.18 (J. sabina) μmol eq Trolox/ml and the TPC of the EOs studied ranged from 15.17 (J. chinensis 'Kaizuca') to 39.37 (J. sabina) mg GAE/mL EO. The results consistently showed that J. sabina possessed the strongest antioxidant activity and can be preferentially used as a rich source of potentially natural antioxidants.

Dataset Information

Comprehensive evaluation of chemical composition and health-promoting effects with chemometrics analysis of plant derived edible oils

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets