Issue 20, 2024

Physicochemical, antibacterial and aromatic qualities of herbaceous peony (Paeonia lactiflora pall) tea with different varieties

Abstract

The aim of this study was to evaluate the effect of five varieties on the quality of herbaceous peony tea by physicochemical analysis, sensory evaluation, antimicrobial capacity analysis and a combination of gas chromatography with quadruple time of flight mass spectrometry (GC-QTOF). Antibacterial and antioxidant analyses revealed that the ABTS free radical scavenging rate of HPT was high, ranging from 82.20% to 87.40% overall. ‘Madame Claude Tain’ had the strongest inhibitory ability against Staphylococcus aureus with an inhibitory effect of 12.65 mm. The sensory evaluation showed that ‘Angel cheeks’ had the highest overall sensory score. GC-QTOF combined with orthogonal projections to latent structures discriminant analysis showed that 22 volatile components were the key aroma components of herbaceous peony tea. Different varieties of herbaceous peony tea had a unique characteristic aroma. ‘Angel cheeks’ imparted lily-like and chestnut fragrances, which were attributed to linalool and 3,5-octadien-2-one. ‘Sea Shell’, ‘Mother's Choice’ and ‘Angel Cheek’ had a medicinal aroma, which may be due to the presence of o-cymene. Overall, ‘Angel cheeks’ was the most suitable for developing high-quality herbaceous peony tea in five varieties. This study provided a theoretical basis and technical guidance for the development of herbaceous peony.

Graphical abstract: Physicochemical, antibacterial and aromatic qualities of herbaceous peony (Paeonia lactiflora pall) tea with different varieties

Supplementary files

Article information

Article type
Paper
Submitted
28 Nov 2023
Accepted
22 Mar 2024
First published
30 Apr 2024
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2024,14, 14303-14310

Physicochemical, antibacterial and aromatic qualities of herbaceous peony (Paeonia lactiflora pall) tea with different varieties

X. Wang, K. Sun, X. Liao, Y. Zhang, Y. Ban, X. Zhang and Z. Song, RSC Adv., 2024, 14, 14303 DOI: 10.1039/D3RA08144C

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