The key technologies of Ganoderma lucidum liquid spawn preparation and scale expansion
Ganoderma lucidum possesses a variety of valuable pharmacological activities, and it has long been used to prevent and treat various human diseases. Up to now, far too little attention has been paid to the liquid spawn of G. lucidum , and the development of the G. lucidum industry is constrained by...
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Veröffentlicht in: | World journal of microbiology & biotechnology 2023-06, Vol.39 (6), p.138-138, Article 138 |
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creator | Guo, Jia Liu, Yan-Fang Tang, Chuan-Hong Zhang, Jing-Song Feng, Jie |
description | Ganoderma lucidum
possesses a variety of valuable pharmacological activities, and it has long been used to prevent and treat various human diseases. Up to now, far too little attention has been paid to the liquid spawn of
G. lucidum
, and the development of the
G. lucidum
industry is constrained by them. This work aimed to study the key technologies and scale-up preparation of
G. lucidum
liquid spawn, to achieve large-scale preparation of liquid spawn and solve the problem of unstable quality of
G. lucidum
. The plate culture, primary shake flask culture, shake flask preparation, and fermentor preparation of
G. lucidum
liquid spawn were explored in the process of liquid fermentation. The results showed that plate broth volume significantly affected mycelial growth rate. Biomass in the primary shake flask culture is significantly influenced by the picking position of plate mycelium. An artificial neural network coupled with a genetic algorithm was used for carbon and nitrogen sources concentration optimization to increase biomass and substrate utilization. The optimized parameter combination is as follows: glucose, 14.5 g L
−1
; yeast extract powder, 8.5 g L
−1
. Under this condition, the biomass (9.82 g L
−1
) and biomass on reducing sugar (0.79 g g
−1
) increased by 18.03% and 27.41% compared to the control, respectively. The metabolic activity of liquid spawn prepared by different fermentation scales was diverse, and the liquid spawn prepared by the fermentor has better activity. Conceivably, the liquid spawn process can more conducive be applied to large-scale industrial production. |
doi_str_mv | 10.1007/s11274-023-03581-9 |
format | Article |
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possesses a variety of valuable pharmacological activities, and it has long been used to prevent and treat various human diseases. Up to now, far too little attention has been paid to the liquid spawn of
G. lucidum
, and the development of the
G. lucidum
industry is constrained by them. This work aimed to study the key technologies and scale-up preparation of
G. lucidum
liquid spawn, to achieve large-scale preparation of liquid spawn and solve the problem of unstable quality of
G. lucidum
. The plate culture, primary shake flask culture, shake flask preparation, and fermentor preparation of
G. lucidum
liquid spawn were explored in the process of liquid fermentation. The results showed that plate broth volume significantly affected mycelial growth rate. Biomass in the primary shake flask culture is significantly influenced by the picking position of plate mycelium. An artificial neural network coupled with a genetic algorithm was used for carbon and nitrogen sources concentration optimization to increase biomass and substrate utilization. The optimized parameter combination is as follows: glucose, 14.5 g L
−1
; yeast extract powder, 8.5 g L
−1
. Under this condition, the biomass (9.82 g L
−1
) and biomass on reducing sugar (0.79 g g
−1
) increased by 18.03% and 27.41% compared to the control, respectively. The metabolic activity of liquid spawn prepared by different fermentation scales was diverse, and the liquid spawn prepared by the fermentor has better activity. Conceivably, the liquid spawn process can more conducive be applied to large-scale industrial production.</description><identifier>ISSN: 0959-3993</identifier><identifier>EISSN: 1573-0972</identifier><identifier>DOI: 10.1007/s11274-023-03581-9</identifier><identifier>PMID: 36991290</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Applied Microbiology ; Artificial neural networks ; Biochemistry ; Biomass ; Biomedical and Life Sciences ; Bioreactors ; Biotechnology ; Carbon sources ; Culture ; Environmental Engineering/Biotechnology ; Fermentation ; Ganoderma lucidum ; Genetic algorithms ; Glucose - metabolism ; Growth rate ; Humans ; Industrial production ; Life Sciences ; Microbiology ; Mushrooms ; Mycelium ; Neural networks ; Nitrogen sources ; Optimization ; Reishi - metabolism ; Substrates ; Yeasts</subject><ispartof>World journal of microbiology & biotechnology, 2023-06, Vol.39 (6), p.138-138, Article 138</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Nature B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-4676ec9b4bc3059d6b5229eacaecf470479b4217f6805cdd0636f6c9584d36dc3</citedby><cites>FETCH-LOGICAL-c375t-4676ec9b4bc3059d6b5229eacaecf470479b4217f6805cdd0636f6c9584d36dc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11274-023-03581-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11274-023-03581-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36991290$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, Jia</creatorcontrib><creatorcontrib>Liu, Yan-Fang</creatorcontrib><creatorcontrib>Tang, Chuan-Hong</creatorcontrib><creatorcontrib>Zhang, Jing-Song</creatorcontrib><creatorcontrib>Feng, Jie</creatorcontrib><title>The key technologies of Ganoderma lucidum liquid spawn preparation and scale expansion</title><title>World journal of microbiology & biotechnology</title><addtitle>World J Microbiol Biotechnol</addtitle><addtitle>World J Microbiol Biotechnol</addtitle><description>Ganoderma lucidum
possesses a variety of valuable pharmacological activities, and it has long been used to prevent and treat various human diseases. Up to now, far too little attention has been paid to the liquid spawn of
G. lucidum
, and the development of the
G. lucidum
industry is constrained by them. This work aimed to study the key technologies and scale-up preparation of
G. lucidum
liquid spawn, to achieve large-scale preparation of liquid spawn and solve the problem of unstable quality of
G. lucidum
. The plate culture, primary shake flask culture, shake flask preparation, and fermentor preparation of
G. lucidum
liquid spawn were explored in the process of liquid fermentation. The results showed that plate broth volume significantly affected mycelial growth rate. Biomass in the primary shake flask culture is significantly influenced by the picking position of plate mycelium. An artificial neural network coupled with a genetic algorithm was used for carbon and nitrogen sources concentration optimization to increase biomass and substrate utilization. The optimized parameter combination is as follows: glucose, 14.5 g L
−1
; yeast extract powder, 8.5 g L
−1
. Under this condition, the biomass (9.82 g L
−1
) and biomass on reducing sugar (0.79 g g
−1
) increased by 18.03% and 27.41% compared to the control, respectively. The metabolic activity of liquid spawn prepared by different fermentation scales was diverse, and the liquid spawn prepared by the fermentor has better activity. Conceivably, the liquid spawn process can more conducive be applied to large-scale industrial production.</description><subject>Applied Microbiology</subject><subject>Artificial neural networks</subject><subject>Biochemistry</subject><subject>Biomass</subject><subject>Biomedical and Life Sciences</subject><subject>Bioreactors</subject><subject>Biotechnology</subject><subject>Carbon sources</subject><subject>Culture</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Fermentation</subject><subject>Ganoderma lucidum</subject><subject>Genetic algorithms</subject><subject>Glucose - metabolism</subject><subject>Growth rate</subject><subject>Humans</subject><subject>Industrial production</subject><subject>Life Sciences</subject><subject>Microbiology</subject><subject>Mushrooms</subject><subject>Mycelium</subject><subject>Neural networks</subject><subject>Nitrogen sources</subject><subject>Optimization</subject><subject>Reishi - metabolism</subject><subject>Substrates</subject><subject>Yeasts</subject><issn>0959-3993</issn><issn>1573-0972</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kE9P3DAQxS1U1N1Cv0APlaVeuKT4T2JnjhUqUGklLsDV8toTCE3sYG9E99tjdqFIPfQ0mpnfe2M_Qr5w9p0zpk8z50LXFROyYrJpeQUHZMkbXVrQ4gNZMmigkgByQT7l_MBYkYH8SBZSAXABbElur--R_sYt3aC7D3GIdz1mGjt6YUP0mEZLh9n1fh7p0D_Ovad5sk-BTgknm-ymj4HaUKbODkjxz2RDLrNjctjZIePn13pEbs5_Xp9dVquri19nP1aVk7rZVLXSCh2s67WTrAGv1o0QgNZZdF2tWa3LTnDdqZY1znumpOqUg6atvVTeySNysvedUnycMW_M2GeHw2ADxjkboaF8k6tWFfTbP-hDnFMor9tRHDTItlBiT7kUc07YmSn1o01bw5l5Sd3sUzcldbNL3UARfX21ntcj-r-St5gLIPdALqtwh-n99n9snwGf5Y0G</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Guo, Jia</creator><creator>Liu, Yan-Fang</creator><creator>Tang, Chuan-Hong</creator><creator>Zhang, Jing-Song</creator><creator>Feng, Jie</creator><general>Springer Netherlands</general><general>Springer Nature B.V</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>3V.</scope><scope>7QL</scope><scope>7T7</scope><scope>7TB</scope><scope>7TK</scope><scope>7U5</scope><scope>7U9</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>L7M</scope><scope>LK8</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20230601</creationdate><title>The key technologies of Ganoderma lucidum liquid spawn preparation and scale expansion</title><author>Guo, Jia ; Liu, Yan-Fang ; Tang, Chuan-Hong ; Zhang, Jing-Song ; Feng, Jie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-4676ec9b4bc3059d6b5229eacaecf470479b4217f6805cdd0636f6c9584d36dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Applied Microbiology</topic><topic>Artificial neural networks</topic><topic>Biochemistry</topic><topic>Biomass</topic><topic>Biomedical and Life Sciences</topic><topic>Bioreactors</topic><topic>Biotechnology</topic><topic>Carbon sources</topic><topic>Culture</topic><topic>Environmental Engineering/Biotechnology</topic><topic>Fermentation</topic><topic>Ganoderma lucidum</topic><topic>Genetic algorithms</topic><topic>Glucose - metabolism</topic><topic>Growth rate</topic><topic>Humans</topic><topic>Industrial production</topic><topic>Life Sciences</topic><topic>Microbiology</topic><topic>Mushrooms</topic><topic>Mycelium</topic><topic>Neural networks</topic><topic>Nitrogen sources</topic><topic>Optimization</topic><topic>Reishi - metabolism</topic><topic>Substrates</topic><topic>Yeasts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Jia</creatorcontrib><creatorcontrib>Liu, Yan-Fang</creatorcontrib><creatorcontrib>Tang, Chuan-Hong</creatorcontrib><creatorcontrib>Zhang, Jing-Song</creatorcontrib><creatorcontrib>Feng, Jie</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>World journal of microbiology & biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Jia</au><au>Liu, Yan-Fang</au><au>Tang, Chuan-Hong</au><au>Zhang, Jing-Song</au><au>Feng, Jie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The key technologies of Ganoderma lucidum liquid spawn preparation and scale expansion</atitle><jtitle>World journal of microbiology & biotechnology</jtitle><stitle>World J Microbiol Biotechnol</stitle><addtitle>World J Microbiol Biotechnol</addtitle><date>2023-06-01</date><risdate>2023</risdate><volume>39</volume><issue>6</issue><spage>138</spage><epage>138</epage><pages>138-138</pages><artnum>138</artnum><issn>0959-3993</issn><eissn>1573-0972</eissn><abstract>Ganoderma lucidum
possesses a variety of valuable pharmacological activities, and it has long been used to prevent and treat various human diseases. Up to now, far too little attention has been paid to the liquid spawn of
G. lucidum
, and the development of the
G. lucidum
industry is constrained by them. This work aimed to study the key technologies and scale-up preparation of
G. lucidum
liquid spawn, to achieve large-scale preparation of liquid spawn and solve the problem of unstable quality of
G. lucidum
. The plate culture, primary shake flask culture, shake flask preparation, and fermentor preparation of
G. lucidum
liquid spawn were explored in the process of liquid fermentation. The results showed that plate broth volume significantly affected mycelial growth rate. Biomass in the primary shake flask culture is significantly influenced by the picking position of plate mycelium. An artificial neural network coupled with a genetic algorithm was used for carbon and nitrogen sources concentration optimization to increase biomass and substrate utilization. The optimized parameter combination is as follows: glucose, 14.5 g L
−1
; yeast extract powder, 8.5 g L
−1
. Under this condition, the biomass (9.82 g L
−1
) and biomass on reducing sugar (0.79 g g
−1
) increased by 18.03% and 27.41% compared to the control, respectively. The metabolic activity of liquid spawn prepared by different fermentation scales was diverse, and the liquid spawn prepared by the fermentor has better activity. Conceivably, the liquid spawn process can more conducive be applied to large-scale industrial production.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>36991290</pmid><doi>10.1007/s11274-023-03581-9</doi><tpages>1</tpages></addata></record> |
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language | eng |
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subjects | Applied Microbiology Artificial neural networks Biochemistry Biomass Biomedical and Life Sciences Bioreactors Biotechnology Carbon sources Culture Environmental Engineering/Biotechnology Fermentation Ganoderma lucidum Genetic algorithms Glucose - metabolism Growth rate Humans Industrial production Life Sciences Microbiology Mushrooms Mycelium Neural networks Nitrogen sources Optimization Reishi - metabolism Substrates Yeasts |
title | The key technologies of Ganoderma lucidum liquid spawn preparation and scale expansion |
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