Amin Alaa A, Olama Zakia A, Ali Safaa M
Botany and Microbiology Department, Faculty of Science, Alexandria University, Alexandria, Egypt.
Nucleic Acid Research Department, Genetic Engineering and Biotechnology Research Institute, the City of Scientific Research and Technological Applications, Alexandria, Egypt.
Front Microbiol. 2023 Sep 13;14:1180463. doi: 10.3389/fmicb.2023.1180463. eCollection 2023.
Lactose intolerance is a widespread problem that affects people of many different races all over the world. The following pharmacological supplements can improve the lives of those who suffer from this issue.
This work focused on lactase producer isolation and statistical design (Plackett-Burman, and BOX-Behnken) to maximize the effectiveness of environmental factors. A lactase-producing bacterium was chosen from a discovery of 100 strains in soil that had previously been polluted with dairy products. Plackett-Burman investigated fifteen variables.
The most critical variables that lead to increased lactase synthesis are glucose, peptone, and magnesium sulfate (MgSO). The ideal process conditions for the creation of lactase yield among the stated variables were then determined using a BOX-Benken design. To establish a polynomial quadratic relationship between the three variables and lactase activity, the Box-Behnken design level was used. The EXCEL-solver nonlinear optimization technique was used to predict the best form for lactase production. The ideal temperature and pH levels have been determined, both before and after the lactase purification process, to achieve the highest performance of isolated lactase.
According to this study, is a perfect supply of the lactase enzyme (β -Galactosidase), It can be used as a product to assist people who have health issues due to lactose intolerance.
乳糖不耐受是一个普遍存在的问题，影响着世界各地许多不同种族的人。以下药物补充剂可以改善患有此问题的人的生活。
这项工作专注于乳糖酶产生菌的分离和统计设计（Plackett-Burman和BOX-Behnken），以最大化环境因素的有效性。从先前被乳制品污染的土壤中的100株菌株中筛选出一株产乳糖酶的细菌。Plackett-Burman研究了15个变量。
导致乳糖酶合成增加的最关键变量是葡萄糖、蛋白胨和硫酸镁（MgSO）。然后使用BOX-Behnken设计确定了所述变量中产生乳糖酶产量的理想工艺条件。为了建立三个变量与乳糖酶活性之间的多项式二次关系，使用了Box-Behnken设计水平。使用EXCEL求解器非线性优化技术预测乳糖酶生产的最佳形式。在乳糖酶纯化过程之前和之后，都确定了理想的温度和pH水平，以实现分离的乳糖酶的最高性能。
根据这项研究， 是乳糖酶（β-半乳糖苷酶）的理想来源，它可以用作一种产品来帮助因乳糖不耐受而有健康问题的人。
