化学
抗菌剂
气相色谱-质谱法
质谱法
气相色谱法
精油
琼脂
色谱法
化学成分
食品科学
细菌
生物
有机化学
遗传学
作者
Rizwan Ahmad,Aljawharah Alqathama,Mohammed Aldholmi,Muhammad Riaz,Ashraf N. Abdalla,Ahmed Mostafa,Hamdi Al-Said,Abdulmalik M. Alqarni,Riaz Ullah,Sami S. Asgher,Mohd Amir,Heba Shaaban,Wasim Ahmad
出处
期刊:Plants
[Multidisciplinary Digital Publishing Institute]
日期:2022-04-09
卷期号:11 (8): 1022-1022
被引量:24
标识
DOI:10.3390/plants11081022
摘要
This study evaluates the quality variation for twenty-seven capsicum fruit (CF) samples, in terms of their volatile oil composition and biological activities. The GCMS analysis revealed the presence of seventy one chemical compounds from different chemical classes with an average (%) composition of: 26.13 (alcohols) > 18.82 (hydrocarbons) > 14.97 (esters) > 3.08 (ketones) > 1.14 (others) > 1.07 (acids) > 0.72 (sugar) > 0.42 (aldehydes) > 0.15 (amino compounds). Alcohols and hydrocarbons were the most abundant in these CF samples with 1-Decanol, 2-octyl- and docosanoic acid, docosyl ester as the major components, respectively. The % inhibition in cytotoxicity assays was observed in the range of 9−47 (MCF7) and 4−41 (HCT116) whereas, the zone of inhibition (mm) for the antimicrobial activity was found to be 0.0−17 (P. aeruginosa) > 0.0−13 (E. coli and S. aureus). Moreover, the samples with the largest zone of inhibition in the agar-well-diffusion method (C16, C19, and C26) upon further evaluation presented the least MIC and MBC values against P. aeruginosa with an MIC and MBC (µg/mL) of 6.3 and 12.5, respectively. The outcome for GCMS and biological activities were further supported by statistical tools of PCA and K-mean cluster analysis which confirmed the C16 CF sample with the best activity followed by C5, C13 (the best cytotoxic), and C19, C26 (the best antimicrobial). The statistical analysis exhibited a high Chi-square value of 5931.68 (GCMS) and 32.19 (biological activities) with p = 0.00 for KMO and Bartlett’s Test of Sphericity. The 27-CF samples were effectively distinguished based on quality variation, and the C16 CF sample exhibited significant potential for further study.
科研通智能强力驱动
Strongly Powered by AbleSci AI