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JCR 2016
جستجوی مقالات
پنجشنبه 27 آذر 1404
Iranian Journal of Chemistry and Chemical Engineering
، جلد ۴۴، شماره ۷، صفحات ۱۹۶۱-۱۹۷۵
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Design and Fabrication of a New Image Processing-Based Sensor for Continuous Non-Invasive Monitoring of Cell Density
چکیده انگلیسی مقاله
A new image-processing-based turbidity sensor has been designed, built, and evaluated for non-invasive, real-time cell growth monitoring. The sensor employs advanced turbidimetric measurement methods without traditional optical sensors and achieves greater measurement precision. The major steps in its development included sensor design, optimization of light transmittance, image processing software development, and sensor calibration. The sensor was validated using real-time monitoring of recombinant E. coli in High-Cell-Density Culture (HCDC) within a bioreactor. Calibration involved correcting light intensity for accurate culture monitoring and cross-referencing with offline biomass measurements. Capable of measuring up to 52 g/L (OD620=116) of cell concentration without any sample pretreatment, the system is ideally suited for industrial bioreactors. This technology enhances bioprocess automation by providing accurate, real-time biomass measurements without dilution, offering a low-cost and scalable industrial solution.
کلیدواژههای انگلیسی مقاله
Turbidity Sensor,Real-time monitoring,Optical Density,Biomass measurement,High cell-density cultivation
نویسندگان مقاله
Peyman Sazandehchi |
Research Center of Science and Biotechnology, Malek Ashtar University of Technology, Tehran, I.R. IRAN
Asma Chegeni |
Department of Biology, Faculty of Basic Science, Ale Taha Institute of Higher Education, Tehran, I.R. IRAN
Rassoul Khalilzadeh |
Research Center of Science and Biotechnology, Malek Ashtar University of Technology, Tehran, I.R. IRAN
Ali Bahrami |
Research Center of Science and Biotechnology, Malek Ashtar University of Technology, Tehran, I.R. IRAN
نشانی اینترنتی
https://ijcce.ac.ir/article_725201_afe919c4a3275b9230e31314345321f0.pdf
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