Lim Vuanghao, Chong Hui Wen, Abdul Samad Nozlena, Abd Ghafar Siti Aisyah, Ismail Ida Shazrina, Mohamed Rafeezul, Yong Yoke Keong, Gan Chee Yuen, Tan Jun Jie
Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam 13200, Kepala Batas, Penang, Malaysia.
Department of Oral Biology and Basic Sciences, Faculty of Dentistry, Universiti Sains Islam Malaysia, Persiaran MPAJ, Jalan Pandan Indah 55100 Pandan Indah, Ampang, Malaysia.
Evid Based Complement Alternat Med. 2022 Feb 23;2022:1967593. doi: 10.1155/2022/1967593. eCollection 2022.
Chemical constituents in plants can be greatly affected by postharvest processing, and it is important to identify the factors that lead to significant changes in chemistry and bioactivity. In this study, attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy was used to analyze extracts of leaves generated using different parameters (solvent polarities, solid-liquid ratios, ultrasonic durations, and cycles of extraction). In addition, the effects of these extracts on the viability of cardiac c-kit cells (CCs) were tested. The IR spectra were processed using SIMCA-P software. PCA results of all tested parameter sets were within acceptable values. Solvent polarity was identified as the most influential factor to observe the differences in chemical profile and activities of extracts. Ideal extraction conditions were identified, for two sample groups (G1 and G2), as they showed optimal total phenolic content (TPC) yield of 44.66 ± 0.83 mg GAE/g dw and 45.99 ± 0.29 mg GAE/g dw and CC viability of 171.81 ± 4.06% and 147.53 ± 6.80%, respectively. Validation tools such as CV-ANOVA ( < 0.05) and permutation ( and plots were well intercepted to each other) have further affirmed the significance and reliability of the partial least square (PLS) model of solvent polarity employed in extraction. Hence, these approaches help optimize postharvest processes that encourage positive TPC and CCs results in extracts.
植物中的化学成分会受到采后加工的极大影响,因此确定导致化学组成和生物活性发生显著变化的因素非常重要。在本研究中,采用衰减全反射傅里叶变换红外光谱(ATR-FTIR)对使用不同参数(溶剂极性、固液比、超声时间和提取次数)提取的叶片提取物进行分析。此外,还测试了这些提取物对心脏c-kit细胞(CCs)活力的影响。红外光谱使用SIMCA-P软件进行处理。所有测试参数集的主成分分析(PCA)结果均在可接受范围内。溶剂极性被确定为观察提取物化学特征和活性差异的最具影响力的因素。对于两个样本组(G1和G2),确定了理想的提取条件,因为它们分别显示出最佳总酚含量(TPC)产量,即44.66±0.83 mg GAE/g干重和45.99±0.29 mg GAE/g干重,以及CC活力分别为171.81±4.06%和147.53±6.80%。诸如交叉验证方差分析(<0.05)和排列检验(排列图和载荷图相互良好截距)等验证工具进一步证实了提取过程中所采用溶剂极性的偏最小二乘(PLS)模型的显著性和可靠性。因此,这些方法有助于优化采后加工过程,从而使提取物中TPC和CCs的结果呈正向变化。