详细信息
Soft-Sensing-Guided Glucose/l-Phenylalanine Cofeeding Strategy and Transcriptomic Analysis of the Optimal l-Phenylalanine Supply Range for Efficient β-Phenylethanol Biosynthesis in Saccharomyces cerevisiae ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Soft-Sensing-Guided Glucose/l-Phenylalanine Cofeeding Strategy and Transcriptomic Analysis of the Optimal l-Phenylalanine Supply Range for Efficient β-Phenylethanol Biosynthesis in Saccharomyces cerevisiae
作者:Yang, Chenghan[1,2];Jia, Huining[1,2];Zhang, Li[1,2];Lan, Hongrun[2];Chen, Huyang[2];Bei, Hao[2];Mohsin, Ali[2];Chu, Ju[1,2];Hang, Haifeng[1,2];Tian, Xiwei[1];Zhuang, Yingping[1,2]
机构:[1]East China Univ Sci & Technol, Qingdao Innovat Inst, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Natl Engn Res Ctr Biotechnol Shanghai, Shanghai 200237, Peoples R China
年份:2026
卷号:74
期号:12
起止页码:10489
外文期刊名:JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
收录:;EI(收录号:20261420443402);WOS:【SCI-EXPANDED(收录号:WOS:001717847500001)】;
基金:This work was financially supported by the National Key Research and Development Program, China (2018YFA0900300), the Taishan Scholars Program of Shandong Province (NO.tsqn202312316), the Shanghai Pilot Program for Basic Research (22TQ1400100-14), the Natural Science Foundation of Shanghai (23ZR1416500), and the Frontiers Science Center for Materiobiology and Dynamic Chemistry (JKVJ1231036). The authors appreciate technical assistance from Shanghai Applied Protein Technology Co., Ltd. (Shanghai, China).
语种:英文
外文关键词:beta-Phenylethanol; Saccharomyces cerevisiae; soft-sensing; cofeeding strategy; transcriptomicanalysis
摘要:beta-Phenylethanol (2-PE) is a natural aroma compound used in food and cosmetic applications, and its efficient microbial production requires the coordinated control of glucose and precursor availability. Here, Raman and near-infrared (NIR) spectroscopy were implemented as soft sensors to guide glucose/l-phenylalanine (l-Phe) cofeeding during 2-PE biosynthesis by Saccharomyces cerevisiae. Raman-Artificial Neural Network and NIR-Partial Least Squares models showed the best performance (external validation R 2 up to 0.99). A soft-sensing-guided glucose-feeding strategy maintained glucose below 20 g/L and triggered refeeding after ethanol depletion. Under these conditions, the optimal l-Phe supply range was found to be 5-15 g/L, yielding 16.72 g/L 2-PE and 0.66 g/g l-Phe-to-2-PE conversion yield. Transcriptomics at low, intermediate, and high l-Phe levels indicated that intermediate l-Phe promoted SPS-module/Ehrlich-pathway responses, whereas low or excessive l-Phe impaired nitrogen- and redox-related metabolism. These results support the process and strain optimization for 2-PE biomanufacturing.
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