Saman Afshar , Gholamreza Zarrini , Nader Farsad-Akhtar
{"title":"采用田口统计方法优化干酪乳杆菌UT1培养基以提高生物质产量。","authors":"Saman Afshar , Gholamreza Zarrini , Nader Farsad-Akhtar","doi":"10.1016/j.mimet.2025.107279","DOIUrl":null,"url":null,"abstract":"<div><div>Probiotics offer many benefits and have attracted significant research interest in recent years. Given their growing applications, large-scale mass production is essential for various industries. However, conventional media for <em>Lactobacilli</em> cultivation, such as MRS (de Man, Rogosa, Sharpe) and skim milk, contain expensive compounds and are therefore not ideal for probiotic-based industries. Consequently, developing a medium with low-cost ingredients, such as molasses and whey, is of utmost importance. To address this need, various carbon and nitrogen sources were first investigated using a completely randomized factorial design (CRFD) to optimize an industrial culture medium for enhancing biomass production of <em>Lacticaseibacillus casei</em> UT1. This screening revealed molasses + whey (MW) as the optimal carbon source and yeast extract (YE) as the optimal nitrogen source. Building on these results, the Taguchi method was then applied to evaluate these two components alongside five additional factors. The experimental outcomes were analyzed using statistical methods to determine the optimal conditions. According to the Taguchi design, the optimum formulation for biomass production of L. <em>casei</em> UT1 was found to be 8 % (<em>w</em>/<em>v</em>) MW, 4 % (w/v) YE, 0.04 % (w/v) magnesium sulfate, and 0.005 % (w/v) manganese sulfate. Under these optimized conditions, biomass production increased by approximately 112 % compared to the MRS medium, as predicted by the Taguchi method and confirmed experimentally.</div></div>","PeriodicalId":16409,"journal":{"name":"Journal of microbiological methods","volume":"238 ","pages":"Article 107279"},"PeriodicalIF":1.9000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of culture medium for probiotic bacterium Lacticaseibacillus casei UT1 to enhance biomass production using the Taguchi statistical method\",\"authors\":\"Saman Afshar , Gholamreza Zarrini , Nader Farsad-Akhtar\",\"doi\":\"10.1016/j.mimet.2025.107279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Probiotics offer many benefits and have attracted significant research interest in recent years. Given their growing applications, large-scale mass production is essential for various industries. However, conventional media for <em>Lactobacilli</em> cultivation, such as MRS (de Man, Rogosa, Sharpe) and skim milk, contain expensive compounds and are therefore not ideal for probiotic-based industries. Consequently, developing a medium with low-cost ingredients, such as molasses and whey, is of utmost importance. To address this need, various carbon and nitrogen sources were first investigated using a completely randomized factorial design (CRFD) to optimize an industrial culture medium for enhancing biomass production of <em>Lacticaseibacillus casei</em> UT1. This screening revealed molasses + whey (MW) as the optimal carbon source and yeast extract (YE) as the optimal nitrogen source. Building on these results, the Taguchi method was then applied to evaluate these two components alongside five additional factors. The experimental outcomes were analyzed using statistical methods to determine the optimal conditions. According to the Taguchi design, the optimum formulation for biomass production of L. <em>casei</em> UT1 was found to be 8 % (<em>w</em>/<em>v</em>) MW, 4 % (w/v) YE, 0.04 % (w/v) magnesium sulfate, and 0.005 % (w/v) manganese sulfate. Under these optimized conditions, biomass production increased by approximately 112 % compared to the MRS medium, as predicted by the Taguchi method and confirmed experimentally.</div></div>\",\"PeriodicalId\":16409,\"journal\":{\"name\":\"Journal of microbiological methods\",\"volume\":\"238 \",\"pages\":\"Article 107279\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of microbiological methods\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167701225001952\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of microbiological methods","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167701225001952","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Optimization of culture medium for probiotic bacterium Lacticaseibacillus casei UT1 to enhance biomass production using the Taguchi statistical method
Probiotics offer many benefits and have attracted significant research interest in recent years. Given their growing applications, large-scale mass production is essential for various industries. However, conventional media for Lactobacilli cultivation, such as MRS (de Man, Rogosa, Sharpe) and skim milk, contain expensive compounds and are therefore not ideal for probiotic-based industries. Consequently, developing a medium with low-cost ingredients, such as molasses and whey, is of utmost importance. To address this need, various carbon and nitrogen sources were first investigated using a completely randomized factorial design (CRFD) to optimize an industrial culture medium for enhancing biomass production of Lacticaseibacillus casei UT1. This screening revealed molasses + whey (MW) as the optimal carbon source and yeast extract (YE) as the optimal nitrogen source. Building on these results, the Taguchi method was then applied to evaluate these two components alongside five additional factors. The experimental outcomes were analyzed using statistical methods to determine the optimal conditions. According to the Taguchi design, the optimum formulation for biomass production of L. casei UT1 was found to be 8 % (w/v) MW, 4 % (w/v) YE, 0.04 % (w/v) magnesium sulfate, and 0.005 % (w/v) manganese sulfate. Under these optimized conditions, biomass production increased by approximately 112 % compared to the MRS medium, as predicted by the Taguchi method and confirmed experimentally.
期刊介绍:
The Journal of Microbiological Methods publishes scholarly and original articles, notes and review articles. These articles must include novel and/or state-of-the-art methods, or significant improvements to existing methods. Novel and innovative applications of current methods that are validated and useful will also be published. JMM strives for scholarship, innovation and excellence. This demands scientific rigour, the best available methods and technologies, correctly replicated experiments/tests, the inclusion of proper controls, calibrations, and the correct statistical analysis. The presentation of the data must support the interpretation of the method/approach.
All aspects of microbiology are covered, except virology. These include agricultural microbiology, applied and environmental microbiology, bioassays, bioinformatics, biotechnology, biochemical microbiology, clinical microbiology, diagnostics, food monitoring and quality control microbiology, microbial genetics and genomics, geomicrobiology, microbiome methods regardless of habitat, high through-put sequencing methods and analysis, microbial pathogenesis and host responses, metabolomics, metagenomics, metaproteomics, microbial ecology and diversity, microbial physiology, microbial ultra-structure, microscopic and imaging methods, molecular microbiology, mycology, novel mathematical microbiology and modelling, parasitology, plant-microbe interactions, protein markers/profiles, proteomics, pyrosequencing, public health microbiology, radioisotopes applied to microbiology, robotics applied to microbiological methods,rumen microbiology, microbiological methods for space missions and extreme environments, sampling methods and samplers, soil and sediment microbiology, transcriptomics, veterinary microbiology, sero-diagnostics and typing/identification.