Department of Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Department of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Prep Biochem Biotechnol. 2023;53(6):622-633. doi: 10.1080/10826068.2022.2119577. Epub 2022 Sep 10.
Livestock blood is a protein-rich waste byproduct produced during meat production processes in slaughterhouses. Its utilization through conversion into value-added products is an intriguing management strategy. In this study, bovine blood was used to obtain the protein hydrolysate for use as a peptone for microbial growth medium. Lyophilized bovine blood was heat treated to make it susceptible to enzymic hydrolysis, and then enzymatically treated with trypsin (bovine pancreas protease) to produce protein hydrolysate. Physico-chemical features were determined for protein hydrolysate and compared to commercial Merck peptone from meat. Amino acid compositions of bovine blood and commercial peptones were subjected to multivariate analysis based on Euclidean similarity matrix using software PAST. Strains of 25,923, 27,853, 6538 P, 11,700, 8739, 13,883, 14,028 and 13,932 were used as test microbial strains. Growth of bacteria in culture media based on the peptone from bovine protein hydrolysate was compared to that in corresponding reference media based on commercial peptone. The results of these growth tests were comparable. Growth data were depicted and statistically analyzed using R packages ggplot2 and growthcurver, respectively, providing data fitting a standard form of logistic equation.
家畜血液是肉类生产过程中在屠宰场产生的一种富含蛋白质的废物副产物。通过将其转化为增值产品来利用是一种有趣的管理策略。在本研究中,利用牛血获得蛋白质水解产物,用作微生物生长培养基的蛋白胨。将冻干的牛血进行热处理,使其易于进行酶水解,然后用胰蛋白酶(牛胰蛋白酶)进行酶处理,产生蛋白质水解产物。测定了蛋白质水解产物的物理化学特性,并与来自肉类的商业 Merck 蛋白胨进行了比较。基于欧几里得相似性矩阵,使用软件 PAST 对牛血和商业蛋白胨的氨基酸组成进行了多元分析。使用 25923、27853、6538P、11700、8739、13883、14028 和 13932 株作为测试微生物菌株。将基于牛源蛋白质水解产物的蛋白胨的培养基中的细菌生长与基于商业蛋白胨的相应参考培养基中的细菌生长进行了比较。这些生长试验的结果是可比的。使用 R 包 ggplot2 和 growthcurver 分别对生长数据进行了描绘和统计分析,提供了适合逻辑方程标准形式的数据拟合。