Microbiology Section, Biological Sciences Department, Faculty of Sciences, Sana'a University, Sana'a 12544, Yemen.
Chemistry Department, Faculty of Sciences, Sana'a University, Sana'a 12544, Yemen.
Molecules. 2022 Apr 7;27(8):2384. doi: 10.3390/molecules27082384.
The present study aims to characterize and predict models for antibacterial activity of a novel oligosaccharide from against subsp. using an adaptive neuro-fuzzy inference system and an artificial neural network. The mathematical predication models were used to determine the optimal conditions to produce oligosaccharide and determine the relationship between the factors (pH, temperature, and time). The characteristics of the purified antibacterial agent were determined using ultraviolet spectroscopy (UV/Vis), infrared spectroscopy (FT-IR), nuclear magnetic resonance spectroscopy (H- and C-NMR) and mass spectrometry (MS). The best performances for the model were 39.45 and 35.16 recorded at epoch 1 for Erw and EMCC 1687, respectively. The coefficient (R) of the training was more than 0.90. The highest antimicrobial production was recorded after 9 days at 25 °C and a pH of 6.2, at which more than 17 mm of the inhibition zone was obtained. The mass spectrum of antimicrobial agent (peak at R.T. = 3.433 of fraction 6) recorded two molecular ion peaks at = 703.70 and = 338.30, corresponding to molecular weights of 703.70 and 338.30 g/mol, respectively. The two molecular ion peaks matched well with the molecular formulas CHNO and CHO, respectively, which were obtained from the elemental analysis result. A novel oligosaccharide from with potential activity against EMCC 1687 and Erw was successfully isolated, purified, and characterized.
本研究旨在利用自适应神经模糊推理系统和人工神经网络对来自 的新型寡糖的抗菌活性进行特征描述和预测模型建立,以 subsp. 。所建立的数学预测模型用于确定生产寡糖的最佳条件,并确定各因素(pH 值、温度和时间)之间的关系。采用紫外光谱(UV/Vis)、红外光谱(FT-IR)、核磁共振波谱(H-和 C-NMR)和质谱(MS)对纯化抗菌剂的特性进行了测定。在 Erw 和 EMCC 1687 中,模型的最佳性能分别在第 1 个时期记录为 39.45 和 35.16。训练的系数(R)大于 0.90。在 25°C 和 pH 值为 6.2 的条件下,培养 9 天后,抗菌产量最高,获得了超过 17mm 的抑菌圈。抗菌剂的质谱(馏分 6 在 R.T. = 3.433 处的峰)记录了两个分子离子峰,在 = 703.70 和 = 338.30,分别对应于 703.70 和 338.30g/mol 的分子量。两个分子离子峰与从元素分析结果得到的分别对应于 CHNO 和 CHO 的分子式吻合得很好。成功地从 中分离、纯化和鉴定了一种具有潜在活性的新型寡糖。