References
Chen, Y., Chen L. L., Guo, M. J., Li, X., Liu, J. S., Liu, X. F., Chen, Z. B., Tian, X. J., Zheng, H. Y., Tian, X. W., Chu, J., & Zhuang, Y. P. (2021a). Application of near-infrared spectroscopy technology in the complex fermentation system to achieve high-efficiency production. Bioresources and Bioprocessing, 8, 96. https://doi.org/10.1186/s40643-021-00452-9
Chen, Y., Lin, Y. M., Tian, X. W., Li, Q. H., & Chu, J. (2019). Real-time dynamic analysis with low-field nuclear magnetic resonance of residual oil and sophorolipids concentrations in the fermentation process of Starmerella bombicola . Journal of Microbiological Methods, 157, 9-15. https://doi.org/10.1016/j.mimet.2018.12.007.
Chen, Y., Tang, X., Li, Y., Liu, C., Zhuang, Y. P., Tian, X. W., & Chu, J. (2021b). Ultrasound assisted in situ separation of sophorolipids in multi-phase fermentation system to achieve efficient production byCandida bombicola . Biotechnology journal, https://doi.org/10.1002/biot.202100478.
Chen, Y., Tian, X. W., Li, Q. H., Li, Y., Chu, J., Hang, H. F., & Zhuang, Y. P. (2020). Target-site directed rational high-throughput screening system for high sophorolipids production by Candida bombicola . Bioresource Technology, 315, 123586. https://doi.org/10.1016/j.biortech.2020.123856.
Chen, Y., Wang, Z. J., Chu, J., Zhuang, Y. P., Zhang, S. L., & Yu, X. G. (2013). Significant decrease of broth viscosity and glucose consumption in erythromycin fermentation by dynamic regulation of ammonium sulfate and phosphate. Bioresource Technology, 134, 173-179. https://doi.org/10.1016/j.biortech.2013.02.023.
Davila, A. M., Marchal, R., & Vandecasteele, J. P. (1997). Sophorose lipid fermentation with differentiated substrate supply for growth and production phases. Applied Microbiology and Biotechnology, 47, 496-501. https://doi.org/10.1007/s002530050962.
Dolman, B. M., Kaisermann, C., Martin, P. J., & Winterburn, J. B. (2017). Integrated sophorolipid production and gravity separation. Process Biochemistry, 54, 162-171. https://doi.org/10.1016/j.procbio.2016.12.021.
Feng, Y., Tian, X. W., Chen, Y., Wang, Z. Y., Xia, J. Y., Qian, J. C., Zhuang, Y. P., & Chu, J. (2021). Real-time and on-line monitoring of ethanol fermentation process by viable cell sensor and electronic nose. Bioresources and Bioprocessing, 8. https://doi.org/10.1186/s40643-021-00391-5.
Iversen, J., Berg, R., & Ahring, B. (2014). Quantitative monitoring of yeast fermentation using Raman spectroscopy. Analytical & Bioanalytical Chemistry, 406, 4911-4919. https://doi.org/10.1007/s00216-014-7897-2
Kim, Y. B., Yun, H. S., & Kim, E. K. (2009). Enhanced sophorolipid production by feeding-rate-controlled fed-batch culture. Bioresource Technology, 100, 6028-6032. https://doi.org/10.1016/j.biortech.2009.06.053.
Gao, P., Liu, R. J., Jin, Q. Z., & Wang, X. G. (2019). Comparative study of chemical compositions and antioxidant capacities of oils obtained from two species of walnut: Juglans regia and Juglans sigillata. Food Chemistry, 279, 279-287. https://doi.org/10.1016/j.foodchem.2018.12.016.
Hu, Y., & Ju, L. (2001) Purification of lactonic sophorolipids by crystallization. Journal of biotechnology, 87, 263-272. https://doi.org/10.1016/S0168-1656(01)00248-6.
Lodens, S., Roelants, S. L. K. W., Ciesielska, K., Geys, R., Derynck, E., Maes, K., Pattyn, F., Van Renterghem, L., Mottet, L., Dierickx, S., Vanhaecke, L., Devreese, B., De Maeaeneire, S. L., & Soetaert, W. (2020). Unraveling and resolving inefficient glucolipid biosurfactants production through quantitative multiomics analyses of Starmerella bombicola strains. Biotechnology and Bioengineering, 117, 453-465. https://doi.org/10.1002/bit.27191.
Lopez C, D. C., Barz, T., Peuela, M., Villegas, A., Ochoa, S., & Wozny, G. (2013). Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production. Biotechnology Progress, 29, 1064-1082. https://doi.org/10.1002/btpr.1753.
Li, Y., Chen, Y., Tian, X. W., & Chu, J. (2020). Advances in sophorolipid-producing strain performance improvement and fermentation optimization technology. Applied microbiology and biotechnology, 104, 10325-10337. https://doi.org/10.1007/s00253-020-10964-7.
Liu, Z. P., Tian, X. W., Chen, Y., Lin, Y. M., Mohsin, A., & Chu, J. (2019) Efficient sophorolipids production via a novel in situ separation technology by Starmerella bombicola . Process Biochemistry, 81, 1-10. https://doi.org/10.1016/j.procbio.2018.12.005.
Lu, F., Li, C., Wang, Z. J., Zhao, W., Chu, J., Zhuang, Y. P., & Zhang, S. L. (2016). High efficiency cell-recycle continuous sodium gluconate production by Aspergillus niger using on-line physiological parameters association analysis to regulate feed rate rationally. Bioresource Technology, 220, 433-441. https://doi.org/10.1016/j.biortech.2016.08.062.
Safarian, S., Saryazdi, S. M. E., Unnthorsson, R., & Richter, C. (2021). Artificial Neural Network Modeling of Bioethanol Production Via Syngas Fermentation. Biophysical Economics and Sustainability, https://doi.org/6. 10.1007/s41247-020-00083-2.
Tian, X. W., Li, Y., Chen, Y., Mohsin, A., & Chu, J. (2021). System optimization of an embedding protocol to immobilize cells from Candida bombicola to improve the efficiency of sophorolipids production. Bioresource Technology, 340, 125700. https://doi.org/10.1016/j.biortech.2021.125700.
Van Bogaert, I. N.A., Saerens, K., De Muynck, C., Develter, D., Soetaert, W., & Vandamme, E. J. (2007). Microbial production and application of sophorolipids. Applied microbiology and biotechnology, 76, 23-34. https://doi.org/10.1007/s00253-007-0988-7.
Wang, B., Shahzad, M., Zhu, X. L., Ur Rehman, K., Ashfaq, M., & Abubakar, M. (2020a). Soft-sensor modeling for l-lysine fermentation process based on hybrid ICS-MLSSVM. Scientific Reports, 10, 1-15. https://doi.org/10.1038/s41598-020-68081-4.
Wang, H. M., Kaur, G., To, M. H., Roelants, S. L. K. W., Patria, R. D., Soetaert, W., & Lin, C. S. K. (2020b). Efficient in-situ separation design for long-term sophorolipids fermentation with high productivity. Journal of Cleaner Production, 246, 118995. https://doi.org/10.1016/j.jclepro.2019.118995.
Wang, Z. J., Zhang, X. Z., Wang, P., Sui, Z. W., Guo, M. J., Zhang, S. L., & Zhuang, Y. P. (2020c). Oxygen Uptake Rate Controlling Strategy Balanced with Oxygen Supply for Improving Coenzyme Q10 Production by Rhodobacter sphaeroides . Biotechnology and Bioprocess Engineering, 25, 459-469. https://doi.org/10.1007/s12257-019-0461-3.
Zhang, A. H., Zhu, K. Y., Zhuang, X. Y., Liao, L. X., Huang, S. Y., Yao, C. Y., & Fang, B. S. (2020). A robust soft sensor to monitor 1,3-propanediol fermentation process by Clostridium butyricum based on artificial neural network. Biotechnology and bioengineering, 117, 3345-3355. https://doi.org/10.1002/bit.27507.
Zhang, Q., Chen, Y., Hong, M., Gao, Y., Chu, J., Zhuang, Y. P., & Zhang, S. L. (2014). The dynamic regulation of nitrogen and phosphorus in the early phase of fermentation improves the erythromycin production by recombinant Saccharopolyspora erythraea strain. Bioresources and Bioprocessing, 1, 15. https://doi.org/10.1186/s40643-014-0015-7.
Zhang, Y. G., Jia, D., Sun, W. Q., Yang, X., Zhang, C. B., Zhao, F. L., & Lu, W. Y. (2018). Semicontinuous sophorolipid fermentation using a novel bioreactor with dual ventilation pipes and dual sieve‐plates coupled with a novel separation system. Microbial Biotechnology, 3, 455-464. https://doi.org/10.1111/1751-7915.13028.
Zhu, X. F., Mohisn, A., Zaman, W. Q., Liu, Z. B., Wang, Z. J., Yu, Z. H., Tian, X. W., Zhuang, Y. P., Guo, M. J., & Chu, J. (2021). Development of a novel non-invasive quantitative method to monitorSiraitia grosvenorii cell growth and browning degree using an integrated computer-aided vision technology and machine learning. Biotechnology and bioengineering, https://doi.org/10.1002/bit.27886.