Open Access
Issue |
BIO Web Conf.
Volume 167, 2025
5th International Conference on Smart and Innovative Agriculture (ICoSIA 2024)
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 6 | |
Section | Agricultural Big Data Analysis | |
DOI | https://doi.org/10.1051/bioconf/202516701002 | |
Published online | 19 March 2025 |
- S. Gorgieva, Research and Development of Biomedical Materials. Processes. 8, 624 (2020). https://doi.org/10.3390/pr8050624 [Google Scholar]
- C. K. Chung, U. Beekmann, D. Kralisch, K. Bierau, A. Chan, F. Ossendorp, L.J. Cruz, Bacterial Cellulose as Drug Delivery System for Optimizing Release of Immune Checkpoint Blocking Antibodies. Pharmaceutics. 14, 1351 (2022). https://doi.org/10.3390/phaimaceutics14071351. [Google Scholar]
- R. Mehrotra, S. Sharma, N. Shree, K. Kaur, Bacterial Cellulose: An Ecological Alternative as A Biotextile. Biosciences Biotechnology Research Asia. 20, 449 (2023). https://doi.org/10.13005/bbra/3101. [Google Scholar]
- E. N. J. Astuti, D. A. Nugroho, T. P. Ahmadi, Application of Real-Time Image Processing for Monitoring Bacterial Cellulose Growth in Various Nitrogen Sources Using Soybean-Boiled Wastewater Medium During Fermentation. IOP Conference Series: Earth and Environmental Science. 1183 (2023). https://doi.org/10.1088/1755-1315/1183/1/012064. [Google Scholar]
- Y. G. Maloringan, D. A. Nugroho, Production of Nata De Coco Using Soaked Soybean Water as the Alternative Usage of Zwavelzuur Ammoniak (ZA). KnE Life Sciences. 4, 43 (2018). https://doi.org/10.18502/kls.v4i2.1656. [Google Scholar]
- S. M. A. S. Keshk, K. Sameshima, Evaluation of Different Carbon Sources for Bacterial Cellulose Production. African Journal of Biotechnology. 4, 478 (2005). [Google Scholar]
- S. S. Wang, Y. H. Han, J. L. Chen, D. C. Zhang, X. X. Shi, Y. X. Ye, D. L. Chen, M. Li, Insights into Bacterial Cellulose Biosynthesis from Different Carbon Sources and The Associated Biochemical Transformation Pathways in Komagataeibacter sp. W1. Polymers. 10, 963 (2018). https://doi.org/10.3390/polym10090963. [Google Scholar]
- D. A. Nugroho, L. Sutiarso, E. S. Rahayu, R. E. Masithoh, Utilizing Real-time Image Processing for Monitoring Bacterial Cellulose Formation during Fermentation. agriTECH. 40 (2020). https://doi.org/10.22146/agritech.49155 [Google Scholar]
- I. Vigentini, V. Fabrizio, F. Dellacà, S. Rossi, I. Azario, C. Mondin, M. Benaglia, R. Foschino, Setup of Bacterial Cellulose Production from The Genus Komagataeibacter and Its Use in A Glutenfree Bakery Product as A Case Study. Frontiers in Microbiology. 10, 1 (2019). https://doi.org/10.3389/fmicb.2019.01953 [CrossRef] [Google Scholar]
- A. Septiani, W. Wijanarka, M. I. Rukmi, Produksi Enzim Selulase dari Bakteri Serratia marcescens KE-B6 Dengan Penambahan Sumber Karbon, Nitrogen dan Kalsium Pada Medium Produksi. Bioma: Berkala Ilmiah Biologi. 19, 159 (2018). [Google Scholar]
- A. Wita, W. Białas, R. Wilk, K. Szychowska, K. Czaczyk, The Influence of Temperature and Nitrogen Source on Cellulolytic Potential of Microbiota Isolated from Natural Environment. Polish Journal of Microbiology. 68, 105 (2019). https://doi.org/10.21307%2Fpjm-2019-012 [Google Scholar]
- I. Soejanto, Desain Eksperimen dengan Metode Taguchi, (Graha Ilmu, Yogyakarta, 2009) [Google Scholar]
- A. N. Mustapha, Y. Zhang, Z. Zhang, Y. Ding, Q. Yuan, Y. Li, Taguchi and ANOVA Analysis for The Optimization of The Microencapsulation of A Volatile Phase Change Material. Journal of Materials Research and Technology. 11, 667 (2021). https://doi.org/10.1016Zj.1jmit2021.01.025 [CrossRef] [Google Scholar]
- I. Muzaki, L. Herdiman, E. Pujiyanto, Pengaruh Perlakuan Panas setelah Brazing dengan Menggunakan Metode Taguchi. Performa: Media Ilmiah Teknik Industri. 4, 16 (2005). [Google Scholar]
- L. Ruben, M. Olga, I. Química, P. Adrian, M. Carlos, M. Edgardo, Efecto de Diferentes Concentraciones de Fructosa Sobre la Producción de Celulosa Bacteriana en Cultivo Estático. 5, 116 (2013). [Google Scholar]
- S. S. Liau, M. Hidayat, H. Sulistyo, Potensi Selulosa Bakteri sebagai Pembalut Luka Ideal dan Penghantar Obat (Drug Delivery), in Prosiding Seminar Nasional Teknik Kimia “Kejuangan”, Yogyakarta, May 25 (2023). [Google Scholar]
- A. P. Pang, F. Zhang, X. Hu, Y. Luo, H. Wang, S. Durrani, F. G. Wu, B. Z. Li, Z. Zhou, Z. Lu, F. Lin, Glutamine Involvement in Nitrogen Regulation f Cellulase Production in Fungi. Biotechnology for Biofuels. 14, 1 (2021). [Google Scholar]
- F. Xue, Z. Zhao, S. Gu, M. Chen, J. Xu, X. Luo, J. Li, C. Tian, The Transcriptional Factor Clr-5 is Involved in Cellulose Degradation Through Regulation of Amino Acid Metabolism in Neurospora Crassa. BMC Biotechnology. 23, 1 (2023). https://doi.org/10.1186/s12896-023-00823-4 [Google Scholar]
- G. Sperotto, L. G. Stasiak, J. P. M. G. Godoi, N. C. Gabiatti, S. S. De Souza, A Review of Culture Media for Bacterial Cellulose Production: Complex, Chemically Defined and Minimal Media Modulations. Cellulose. 28, 2649 (2021). https://doi.org/10.1007/s10570-021-03754-5(01234567) [Google Scholar]
- S. Cesar, M. Anjur-dietrich, B. Yu, E. Li, E. Rojas, N. Neff, T. F. Cooper, Bacterial Evolution in High-osmolarity Environments. mBio. 11, 1 (2020). https://doi.org/10.1128/mBio.01191-20 [Google Scholar]
- R. D. Sleator, C. Hill, Bacterial Osmoadaptation: The Role of Osmolytes in Bacterial Stress and Virulence. FEMS Microbiology Reviews. 26, 49 (2001). https://doi.org/10.1111/j.1574-6976.2002.tb00598.x [Google Scholar]
- M. H. Zwietering, I. Jongenburger, F. M. Rombouts, K. Van’t Riet, Modeling of The Bacterial Growth Curve. Applied and Environmental Microbiology. 56, 1875 (1990). https://doi.org/10.1128/aem.56.6.1875-1881.1990 [CrossRef] [PubMed] [Google Scholar]
- D. Chicco, M. J. Warrens, G. Jurman. The Coefficient of Determination R-squared is More Informative than SMAPE, MAE, MAPE, MSE and RMSE in Regression Analysis Evaluation. PeerJ Computer Science. 7, 1 (2021). https://doi.org/10.7717/PEERJ-CS.623 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.