Growth kinetics of Lactococcus lactis and Lactobacillus casei in liquid culture medium containing as prebiotics inulin or fructose
BACKGROUND Predictive microbiology is a tool that allows us to evaluate the behavior of the concentration of biomass and estimated cells under extrinsic conditions, providing scientific and industrial benefits. In the present study, the growth of L. lactis and L. casei combined with inulin and fruct...
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| Veröffentlicht in: | Journal of the science of food and agriculture 2024-02, Vol.104 (3), p.1258-1270 |
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| container_title | Journal of the science of food and agriculture |
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| creator | Montes, Yessenia Maribel García Calle, Edwin Rafael Vera Terán, Stalin Gustavo Santacruz García, Marlon Reinaldo Castro Nájera, Jenny Cumandá Ruales Vera, Mario René Lopez |
| description | BACKGROUND
Predictive microbiology is a tool that allows us to evaluate the behavior of the concentration of biomass and estimated cells under extrinsic conditions, providing scientific and industrial benefits. In the present study, the growth of L. lactis and L. casei combined with inulin and fructose was modeled using the Gompertz sigmoidal growth functions and plotted using data obtained from batch culture in relation to biomass and cell concentration expressed as estimates in ln N (OD600nm and cells mL−1) as a function of time.
RESULTS
The results of the kinetic modeling indicated that (T1) A1B1 = L. lactis + fructose and (T4) A2B2 = L. casei + inulin presented the best function coefficients and best fits in most cases compared to the rest. The specific growth rate of the maximum acceleration was from 0.364 to 0.473 h−1 and 0.100 to 0.129 h−1, the concentration of bacterial cells (A) was from 0.556 to 0.713 and 0.425 to 0.548 respectively and the time where (μ) occurred with a greater magnitude (L) fluctuated between 0.854 and 0.802 and when this time in (L) is very fast, it presents values of ≤0.072 to ≤0.092. Its coefficient of determination and/or multiple regression (R2) obtained in the two adjustments was 0.97.
CONCLUSION
It was possible to predict the influence of the carbon source on the behavior of maximum growth rates, higher consumption due to nutrient affinity and shorter growth time. © 2023 Society of Chemical Industry. |
| doi_str_mv | 10.1002/jsfa.13032 |
| format | Article |
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Predictive microbiology is a tool that allows us to evaluate the behavior of the concentration of biomass and estimated cells under extrinsic conditions, providing scientific and industrial benefits. In the present study, the growth of L. lactis and L. casei combined with inulin and fructose was modeled using the Gompertz sigmoidal growth functions and plotted using data obtained from batch culture in relation to biomass and cell concentration expressed as estimates in ln N (OD600nm and cells mL−1) as a function of time.
RESULTS
The results of the kinetic modeling indicated that (T1) A1B1 = L. lactis + fructose and (T4) A2B2 = L. casei + inulin presented the best function coefficients and best fits in most cases compared to the rest. The specific growth rate of the maximum acceleration was from 0.364 to 0.473 h−1 and 0.100 to 0.129 h−1, the concentration of bacterial cells (A) was from 0.556 to 0.713 and 0.425 to 0.548 respectively and the time where (μ) occurred with a greater magnitude (L) fluctuated between 0.854 and 0.802 and when this time in (L) is very fast, it presents values of ≤0.072 to ≤0.092. Its coefficient of determination and/or multiple regression (R2) obtained in the two adjustments was 0.97.
CONCLUSION
It was possible to predict the influence of the carbon source on the behavior of maximum growth rates, higher consumption due to nutrient affinity and shorter growth time. © 2023 Society of Chemical Industry.</description><identifier>ISSN: 0022-5142</identifier><identifier>EISSN: 1097-0010</identifier><identifier>DOI: 10.1002/jsfa.13032</identifier><identifier>PMID: 37801661</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Batch culture ; Biomass ; Carbon sources ; Cell culture ; Culture Media ; Fructose ; Growth kinetics ; Growth rate ; Inulin ; Lacticaseibacillus casei ; Lactobacillus casei ; Lactococcus lactis ; Liquid culture ; Microbiology ; Prebiotics</subject><ispartof>Journal of the science of food and agriculture, 2024-02, Vol.104 (3), p.1258-1270</ispartof><rights>2023 Society of Chemical Industry.</rights><rights>Copyright © 2024 Society of Chemical Industry</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c4062-af608651ec529077c9e7b56dd7413974dd68f5f75fbc9a8a2427f9c72a413a233</cites><orcidid>0000-0001-6926-4213</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjsfa.13032$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjsfa.13032$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37801661$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Montes, Yessenia Maribel García</creatorcontrib><creatorcontrib>Calle, Edwin Rafael Vera</creatorcontrib><creatorcontrib>Terán, Stalin Gustavo Santacruz</creatorcontrib><creatorcontrib>García, Marlon Reinaldo Castro</creatorcontrib><creatorcontrib>Nájera, Jenny Cumandá Ruales</creatorcontrib><creatorcontrib>Vera, Mario René Lopez</creatorcontrib><title>Growth kinetics of Lactococcus lactis and Lactobacillus casei in liquid culture medium containing as prebiotics inulin or fructose</title><title>Journal of the science of food and agriculture</title><addtitle>J Sci Food Agric</addtitle><description>BACKGROUND
Predictive microbiology is a tool that allows us to evaluate the behavior of the concentration of biomass and estimated cells under extrinsic conditions, providing scientific and industrial benefits. In the present study, the growth of L. lactis and L. casei combined with inulin and fructose was modeled using the Gompertz sigmoidal growth functions and plotted using data obtained from batch culture in relation to biomass and cell concentration expressed as estimates in ln N (OD600nm and cells mL−1) as a function of time.
RESULTS
The results of the kinetic modeling indicated that (T1) A1B1 = L. lactis + fructose and (T4) A2B2 = L. casei + inulin presented the best function coefficients and best fits in most cases compared to the rest. The specific growth rate of the maximum acceleration was from 0.364 to 0.473 h−1 and 0.100 to 0.129 h−1, the concentration of bacterial cells (A) was from 0.556 to 0.713 and 0.425 to 0.548 respectively and the time where (μ) occurred with a greater magnitude (L) fluctuated between 0.854 and 0.802 and when this time in (L) is very fast, it presents values of ≤0.072 to ≤0.092. Its coefficient of determination and/or multiple regression (R2) obtained in the two adjustments was 0.97.
CONCLUSION
It was possible to predict the influence of the carbon source on the behavior of maximum growth rates, higher consumption due to nutrient affinity and shorter growth time. © 2023 Society of Chemical Industry.</description><subject>Batch culture</subject><subject>Biomass</subject><subject>Carbon sources</subject><subject>Cell culture</subject><subject>Culture Media</subject><subject>Fructose</subject><subject>Growth kinetics</subject><subject>Growth rate</subject><subject>Inulin</subject><subject>Lacticaseibacillus casei</subject><subject>Lactobacillus casei</subject><subject>Lactococcus lactis</subject><subject>Liquid culture</subject><subject>Microbiology</subject><subject>Prebiotics</subject><issn>0022-5142</issn><issn>1097-0010</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kcFuFSEUhonR2Gt14wMYEjemybQHmIFh2TS2am7ioromDAPKlQu3MKTp1icv7VQXLlxxwv-dL4QfobcETgkAPdsVp08JA0afoQ0BKToAAs_RpoW0G0hPj9CrUnYAICXnL9EREyMQzskG_b7K6Xb5iX_5aBdvCk4Ob7VZkknG1IJDm33BOs7r9aSND6EFRhfrsY84-JvqZ2xqWGq2eG9nX_fYpLhoH338gXXBh2wnnx79PtbQtlLGLtcmLPY1euF0KPbN03mMvl9-_Hbxqdt-vfp8cb7tTA-cdtpxGPlArBmoBCGMtGIa-DyLnjAp-nnmoxucGNxkpB417alw0giqW64pY8fow-o95HRTbVnU3hdjQ9DRploUHUVPORuYaOj7f9Bdqjm21ykqCRDGiYRGnayUyamUbJ06ZL_X-U4RUA_NqIdm1GMzDX73pKxT-6O_6J8qGkBW4NYHe_cflfpyfXm-Su8BheWZ2Q</recordid><startdate>202402</startdate><enddate>202402</enddate><creator>Montes, Yessenia Maribel García</creator><creator>Calle, Edwin Rafael Vera</creator><creator>Terán, Stalin Gustavo Santacruz</creator><creator>García, Marlon Reinaldo Castro</creator><creator>Nájera, Jenny Cumandá Ruales</creator><creator>Vera, Mario René Lopez</creator><general>John Wiley & Sons, Ltd</general><general>John Wiley and Sons, Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QL</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7ST</scope><scope>7T5</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6926-4213</orcidid></search><sort><creationdate>202402</creationdate><title>Growth kinetics of Lactococcus lactis and Lactobacillus casei in liquid culture medium containing as prebiotics inulin or fructose</title><author>Montes, Yessenia Maribel García ; Calle, Edwin Rafael Vera ; Terán, Stalin Gustavo Santacruz ; García, Marlon Reinaldo Castro ; Nájera, Jenny Cumandá Ruales ; Vera, Mario René Lopez</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4062-af608651ec529077c9e7b56dd7413974dd68f5f75fbc9a8a2427f9c72a413a233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Batch culture</topic><topic>Biomass</topic><topic>Carbon sources</topic><topic>Cell culture</topic><topic>Culture Media</topic><topic>Fructose</topic><topic>Growth kinetics</topic><topic>Growth rate</topic><topic>Inulin</topic><topic>Lacticaseibacillus casei</topic><topic>Lactobacillus casei</topic><topic>Lactococcus lactis</topic><topic>Liquid culture</topic><topic>Microbiology</topic><topic>Prebiotics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Montes, Yessenia Maribel García</creatorcontrib><creatorcontrib>Calle, Edwin Rafael Vera</creatorcontrib><creatorcontrib>Terán, Stalin Gustavo Santacruz</creatorcontrib><creatorcontrib>García, Marlon Reinaldo Castro</creatorcontrib><creatorcontrib>Nájera, Jenny Cumandá Ruales</creatorcontrib><creatorcontrib>Vera, Mario René Lopez</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the science of food and agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Montes, Yessenia Maribel García</au><au>Calle, Edwin Rafael Vera</au><au>Terán, Stalin Gustavo Santacruz</au><au>García, Marlon Reinaldo Castro</au><au>Nájera, Jenny Cumandá Ruales</au><au>Vera, Mario René Lopez</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Growth kinetics of Lactococcus lactis and Lactobacillus casei in liquid culture medium containing as prebiotics inulin or fructose</atitle><jtitle>Journal of the science of food and agriculture</jtitle><addtitle>J Sci Food Agric</addtitle><date>2024-02</date><risdate>2024</risdate><volume>104</volume><issue>3</issue><spage>1258</spage><epage>1270</epage><pages>1258-1270</pages><issn>0022-5142</issn><eissn>1097-0010</eissn><abstract>BACKGROUND
Predictive microbiology is a tool that allows us to evaluate the behavior of the concentration of biomass and estimated cells under extrinsic conditions, providing scientific and industrial benefits. In the present study, the growth of L. lactis and L. casei combined with inulin and fructose was modeled using the Gompertz sigmoidal growth functions and plotted using data obtained from batch culture in relation to biomass and cell concentration expressed as estimates in ln N (OD600nm and cells mL−1) as a function of time.
RESULTS
The results of the kinetic modeling indicated that (T1) A1B1 = L. lactis + fructose and (T4) A2B2 = L. casei + inulin presented the best function coefficients and best fits in most cases compared to the rest. The specific growth rate of the maximum acceleration was from 0.364 to 0.473 h−1 and 0.100 to 0.129 h−1, the concentration of bacterial cells (A) was from 0.556 to 0.713 and 0.425 to 0.548 respectively and the time where (μ) occurred with a greater magnitude (L) fluctuated between 0.854 and 0.802 and when this time in (L) is very fast, it presents values of ≤0.072 to ≤0.092. Its coefficient of determination and/or multiple regression (R2) obtained in the two adjustments was 0.97.
CONCLUSION
It was possible to predict the influence of the carbon source on the behavior of maximum growth rates, higher consumption due to nutrient affinity and shorter growth time. © 2023 Society of Chemical Industry.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><pmid>37801661</pmid><doi>10.1002/jsfa.13032</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-6926-4213</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of the science of food and agriculture, 2024-02, Vol.104 (3), p.1258-1270 |
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| language | eng |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Batch culture Biomass Carbon sources Cell culture Culture Media Fructose Growth kinetics Growth rate Inulin Lacticaseibacillus casei Lactobacillus casei Lactococcus lactis Liquid culture Microbiology Prebiotics |
| title | Growth kinetics of Lactococcus lactis and Lactobacillus casei in liquid culture medium containing as prebiotics inulin or fructose |
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