Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yong K Chang"'
Autor:
Jian Xu, Yonghua Li-Beisson, Jong-Min Lim, Young Uk Kim, Byeong-ryool Jeong, Nam Kyu Kang, Yanhai Gong, Guanpin Yang, Kehou Pan, Li Wei, Yantao Li, Yi Xin, Qiang Hu, Wuxin You, Hee-Mock Oh, Yong K Chang, Zengbin Wang, Won-Joong Jeong, Eric Poliner, Youn-Il Park, Suk-Won Jeong, Eva M. Farré, Chen Shen, Qintao Wang, Ansgar Poetsch
Publikováno v:
Plant Journal
Plant Journal, 2020, 104 (6), pp.1736-1745. ⟨10.1111/tpj.15025⟩
Plant Journal, Wiley, 2020, 104 (6), pp.1736-1745. ⟨10.1111/tpj.15025⟩
Plant Journal, 2020, 104 (6), pp.1736-1745. ⟨10.1111/tpj.15025⟩
Plant Journal, Wiley, 2020, 104 (6), pp.1736-1745. ⟨10.1111/tpj.15025⟩
International audience; Nannochloropsis species, unicellular industrial oleaginous microalgae, are model organisms for microalgal systems and synthetic biology. To facilitate community-based annotation and mining of the rapidly accumulating functiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82d39579ecd264ae641d6da71c6e14ff
https://hal.science/hal-03429770
https://hal.science/hal-03429770
Publikováno v:
Biochemical Engineering for 2001 ISBN: 9784431681823
Mycelium broths tend to have a non-Newtonian fluid behavior as the biomass concentration increases during the fermentation. Non-Newtonian behavior of fermentation broths has very significant effects on the performance of bioreactor. Such rheological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffacd862802ff24a70264197e381bf1a
https://doi.org/10.1007/978-4-431-68180-9_122
https://doi.org/10.1007/978-4-431-68180-9_122
Autor:
Henry C. Lim, Yong K. Chang
Publikováno v:
Biotechnology and bioengineering. 35(1)
A fast inferential, multivariable adaptive optimization algorithm based on a fast responding off-gas data, the carbon dioxide evolution rate (CER), has been developed and applied to a continuous baker's yeast culture to maximize the cellular producti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c11eb64fed41e49f445abab821cfca0
https://pubmed.ncbi.nlm.nih.gov/18588226
https://pubmed.ncbi.nlm.nih.gov/18588226
Autor:
Yong K. Chang, Henry C. Lim
Publikováno v:
Biotechnology and Bioengineering. 34:577-591
A multivariable on-line adaptive optimization algorithm using a bilevel forgetting factor method was developed and applied to a continuous baker's yeast culture in simulation and experimental studies to maximize the cellular productivity by manipulat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79bd0565b3e8738de24b2c363b2bd372
https://doi.org/10.1002/bit.260340502
https://doi.org/10.1002/bit.260340502
Publikováno v:
Biotechnology and Bioengineering. 33:1-10
The optimal glucose feeding policy for the fed-batch culture of Saccharomyces carlsbergensis is presented. The biphasic nature of growth results in a singular feed rate policy that is unique to this organism. When the operating cost is high, the redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af087f7e4c54b56d5df4d480ff0984ab
https://doi.org/10.1002/bit.260330102
https://doi.org/10.1002/bit.260330102
Publikováno v:
Biotechnology and bioengineering. 31(9)
An adaptive optimization algorithm using a dynamic identification scheme with a bilevel forgetting factor (BFF) has been developed. The simulation results show superiority of this method to other methods when applied to maximize the cellular producti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc9396ca4249cf3625efd9e152db974b
https://pubmed.ncbi.nlm.nih.gov/18584702
https://pubmed.ncbi.nlm.nih.gov/18584702
Publikováno v:
Biotechnology and bioengineering. 29(8)
Static and dynamic characteristics of continuous cultures of recombinant methylotrophs, which are designed to improve the selectivity of plasmid-bearing cells and the plasmid stability, are investigated in detail. Operational regions in which coexist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0e0205277c907bd68d8fedefde81a7a
https://pubmed.ncbi.nlm.nih.gov/18576540
https://pubmed.ncbi.nlm.nih.gov/18576540