Electrical Signals Sharpen Bioprocess Control

For bioprocess engineers, knowing when a cell culture is beginning to fail can make the difference between an optimal harvest and a compromised batch. Yet many standard approaches provide only a delayed snapshot of cellular health. A review by Alaleh Vaghef-Koodehi, PhD, a postdoctoral researcher at the University of Massachusetts Amherst, and Blanca Lapizco-Encinas, PhD, professor of biomedical engineering at the Rochester Institute of Technology, suggests that cells’ electrical properties could provide a faster window into what is happening inside a bioprocess. Their review traces advances from 2015 through 2026 in using membrane capacitance, cytoplasmic conductivity, polarizability, and surface charge to assess cellular state without labels.

The opportunity is particularly compelling in biologics manufacturing, where the authors call real-time monitoring of cell health a “critical bottleneck.” Conventional apoptosis measurements, including offline fluorescent staining and lactate dehydrogenase release assays, can be destructive and provide limited temporal resolution. Dielectrophoresis (DEP), which exploits how polarizable cells respond to nonuniform electric fields, offers another approach: tracking the changing electrical signature of cells without labeling or destroying them.

Chinese hamster ovary (CHO) cells, which the review calls the “industry workhorse,” provide a striking example. Studies using dual-frequency DEP cytometry followed CHO cells during nutrient-starvation-induced apoptosis and found two distinguishable electrical phases. First came membrane remodeling and a reduction in membrane capacitance. Then cytoplasmic conductivity dropped sharply as ionic homeostasis broke down. In one study, apoptotic populations began appearing between 24 and 36 hours, and cytoplasmic conductivity fell to approximately 0.05 siemens per meter (S/m) compared with about 0.45 S/m in viable cells. A follow-up similarly found membrane capacitance declining gradually before cytoplasmic conductivity plunged to 0.07 S/m in apoptotic cells by 52 hours. Together, the changes provide an electrical timeline of cell death rather than merely an endpoint measurement.

Speed could make those signatures especially valuable on the manufacturing floor. The commercially available 3DEP platform has been used to capture electrical signatures from populations of roughly 20,000 cells within seconds. According to the review, such measurements can reveal emerging apoptotic subpopulations “hours before traditional biochemical markers become detectable.” Earlier warning could allow operators to adjust a process or select a more favorable harvest time before culture performance deteriorates.

The next step might be turning those measurements into automated decisions. The review highlights a 2026 analysis integrating electrical impedance data with supervised machine learning; a tuned random-forest model achieved 90% predictive accuracy and was proposed as a label-free “traffic-light” system for batch monitoring. Combining rapid electrical measurements with computational analysis could ultimately support autonomous intervention and optimized harvesting.

That vision is not yet routine bioprocess control, but the technology is moving beyond specialized laboratory experiments. Commercial DEP platforms are already increasing accessibility, and the authors see continued integration with computational modeling and machine learning as a route toward real-time automated systems. For biomanufacturing, the electrical life of a cell may become another process signal—one capable of warning that a culture is changing before conventional assays catch up.

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