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Novel methodology detects microbial contamination in cell cultures | MIT Information

admin by admin
April 26, 2025
in AI and Machine Learning in the Cloud
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Novel methodology detects microbial contamination in cell cultures | MIT Information
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Researchers from the Crucial Analytics for Manufacturing Personalised-Drugs (CAMP) interdisciplinary analysis group of the Singapore-MIT Alliance for Analysis and Expertise (SMART), MIT’s analysis enterprise in Singapore, in collaboration with MIT, A*STAR Pores and skin Analysis Labs, and the Nationwide College of Singapore, have developed a novel methodology that may rapidly and routinely detect and monitor microbial contamination in cell remedy merchandise (CTPs) early on in the course of the manufacturing course of. By measuring ultraviolet gentle absorbance of cell tradition fluids and utilizing machine studying to acknowledge gentle absorption patterns related to microbial contamination, this preliminary testing methodology goals to cut back the general time taken for sterility testing and, subsequently, the time sufferers want to attend for CTP doses. That is particularly essential the place well timed administration of therapies might be life-saving for terminally ailing sufferers.

 

Cell remedy represents a promising new frontier in medication, particularly in treating ailments equivalent to cancers, inflammatory ailments, and continual degenerative issues by manipulating or changing cells to revive perform or battle illness. Nevertheless, a significant problem in CTP manufacturing is rapidly and successfully making certain that cells are free from contamination earlier than being administered to sufferers.

 

Present sterility testing strategies, primarily based on microbiological strategies,  are labor-intensive and require as much as 14 days to detect contamination, which might adversely have an effect on critically ailing sufferers who want fast therapy. Whereas superior methods equivalent to speedy microbiological strategies (RMMs) can scale back the testing interval to seven days, they nonetheless require complicated processes equivalent to cell extraction and development enrichment mediums, and they’re extremely depending on expert employees for procedures equivalent to pattern extraction, measurement, and evaluation. This creates an pressing want for brand new strategies that provide faster outcomes with out compromising the standard of CTPs, meet the patient-use timeline, and use a easy workflow that doesn’t require further preparation.

 

 

This methodology gives vital benefits over each conventional sterility exams and RMMs, because it eliminates the necessity for staining of cells to establish labelled organisms, avoids the invasive technique of cell extraction, and delivers ends in underneath half-an-hour. It supplies an intuitive, speedy “sure/no” contamination evaluation, facilitating automation of cell tradition sampling with a easy workflow. Moreover, the developed methodology doesn’t require specialised tools, leading to decrease prices.

 

“This speedy, label-free methodology is designed to be a preliminary step within the CTP manufacturing course of as a type of steady security testing, which permits customers to detect contamination early and implement well timed corrective actions, together with the usage of RMMs solely when potential contamination is detected. This strategy saves prices, optimizes useful resource allocation, and in the end accelerates the general manufacturing timeline,” says Shruthi Pandi Chelvam, senior analysis engineer at SMART CAMP and first writer of the paper.

 

“Historically, cell remedy manufacturing is labor-intensive and topic to operator variability. By introducing automation and machine studying, we hope to streamline cell remedy manufacturing and scale back the danger of contamination. Particularly, our methodology helps automated cell tradition sampling at designated intervals to test for contamination, which reduces guide duties equivalent to pattern extraction, measurement, and evaluation. This permits cell cultures to be monitored repeatedly and contamination to be detected at early levels,” says Rajeev Ram, the Clarence J. LeBel Professor in Electrical Engineering and Laptop Science at MIT, a principal investigator at SMART CAMP, and the corresponding writer of the paper.

 

Transferring ahead, future analysis will concentrate on broadening the appliance of the tactic to embody a wider vary of microbial contaminants, particularly these consultant of present good manufacturing practices environments and beforehand recognized CTP contaminants. Moreover, the mannequin’s robustness might be examined throughout extra cell varieties other than MSCs. Past cell remedy manufacturing, this methodology may also be utilized to the meals and beverage trade as a part of microbial high quality management testing to make sure meals merchandise meet security requirements.

Tags: cellcontaminationculturesDetectsmethodmicrobialMITNews
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