{"title":"利用响应面法对地衣芽孢杆菌生长培养基进行统计优化生产碱性蛋白酶","authors":"B. Lakshmi, K. Hemalatha","doi":"10.4172/2167-7972.1000130","DOIUrl":null,"url":null,"abstract":"An alkaline protease producing bacterial strain Bacillus licheniformis (MTCC NO. 7053), which was obtained from IMTECH, Chandigarh used for protease production studies. Three significant variables effecting protease production like rice husk (variable 1); inoculum size (variable 2); KNO3 (variable 3) have been identified under preliminary optimization studies. These variables are selected for alkaline protease production in current study. By using these eloquent variables, the basal media was subjected to statistical optimization using response surface methodology. The superlative growth media components and bacterial growth conditions for ultimate protease production were as follows: rice husk (3%); inoculum size (2%); KNO3 (0.75%); salt solution, 5% (v/v)-{(MgSO4.7H2O, 0.5% (w/v); KH2PO4 0.5% (w/v)}; and FeSO4.7H2O, 0.01% (w/v) at 37°C and 160 rpm for 72 h production. The alakaline protease activity was notably increased with statistically optimized medium (185.4 ± 0.23 U/ml) when compared to unoptimized basal medium (132 ± 0.76 U/ml). This shows that model was satisfactory and also indicates the adequacy of the model.","PeriodicalId":12351,"journal":{"name":"Fermentation Technology","volume":"119 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Production of Alkaline Protease from Bacillus licheniformis through Statistical Optimization of Growth Media by Response Surface Methodology\",\"authors\":\"B. Lakshmi, K. Hemalatha\",\"doi\":\"10.4172/2167-7972.1000130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An alkaline protease producing bacterial strain Bacillus licheniformis (MTCC NO. 7053), which was obtained from IMTECH, Chandigarh used for protease production studies. Three significant variables effecting protease production like rice husk (variable 1); inoculum size (variable 2); KNO3 (variable 3) have been identified under preliminary optimization studies. These variables are selected for alkaline protease production in current study. By using these eloquent variables, the basal media was subjected to statistical optimization using response surface methodology. The superlative growth media components and bacterial growth conditions for ultimate protease production were as follows: rice husk (3%); inoculum size (2%); KNO3 (0.75%); salt solution, 5% (v/v)-{(MgSO4.7H2O, 0.5% (w/v); KH2PO4 0.5% (w/v)}; and FeSO4.7H2O, 0.01% (w/v) at 37°C and 160 rpm for 72 h production. The alakaline protease activity was notably increased with statistically optimized medium (185.4 ± 0.23 U/ml) when compared to unoptimized basal medium (132 ± 0.76 U/ml). This shows that model was satisfactory and also indicates the adequacy of the model.\",\"PeriodicalId\":12351,\"journal\":{\"name\":\"Fermentation Technology\",\"volume\":\"119 1\",\"pages\":\"1-7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fermentation Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4172/2167-7972.1000130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fermentation Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2167-7972.1000130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
摘要
一种产生碱性蛋白酶的地衣芽孢杆菌菌株。7053),从昌迪加尔IMTECH公司获得,用于蛋白酶生产研究。影响稻壳等蛋白酶生产的三个重要变量(变量1);接种物大小(可变2);在初步优化研究中确定了KNO3(变量3)。在目前的研究中,这些变量被选择用于碱性蛋白酶的生产。通过使用这些有说服力的变量,使用响应面法对基础介质进行统计优化。最终产生蛋白酶的最佳培养基成分和细菌生长条件为:稻壳(3%);接种量(2%);硝酸钾(0.75%);盐溶液,5% (v / v) - {(MgSO4.7H2O, 0.5% (w / v);KH2PO4 0.5% (w/v)};FeSO4.7H2O, 0.01% (w/v), 37°C, 160 rpm, 72小时生产。与未优化的基础培养基(132±0.76 U/ml)相比,优化培养基的碱性蛋白酶活性(185.4±0.23 U/ml)显著提高。这表明模型是令人满意的,也表明了模型的充分性。
Production of Alkaline Protease from Bacillus licheniformis through Statistical Optimization of Growth Media by Response Surface Methodology
An alkaline protease producing bacterial strain Bacillus licheniformis (MTCC NO. 7053), which was obtained from IMTECH, Chandigarh used for protease production studies. Three significant variables effecting protease production like rice husk (variable 1); inoculum size (variable 2); KNO3 (variable 3) have been identified under preliminary optimization studies. These variables are selected for alkaline protease production in current study. By using these eloquent variables, the basal media was subjected to statistical optimization using response surface methodology. The superlative growth media components and bacterial growth conditions for ultimate protease production were as follows: rice husk (3%); inoculum size (2%); KNO3 (0.75%); salt solution, 5% (v/v)-{(MgSO4.7H2O, 0.5% (w/v); KH2PO4 0.5% (w/v)}; and FeSO4.7H2O, 0.01% (w/v) at 37°C and 160 rpm for 72 h production. The alakaline protease activity was notably increased with statistically optimized medium (185.4 ± 0.23 U/ml) when compared to unoptimized basal medium (132 ± 0.76 U/ml). This shows that model was satisfactory and also indicates the adequacy of the model.