journal article·2022Open access

Ultralong recovery time in nanosecond electroporation systems enabled by orientational-disordering processes

Denise Lee, J Shamita Naikar, Sophia S. Y. Chan, Maria Prisca Meivita, Lunna Li, Yaw Sing Tan, Natasa Bajalovic, Desmond K. Loke

Nanoscale· Volume 14· Issue 21

Abstract

The growing importance of applications based on molecular medicine and genetic engineering is driving the need to develop high-performance electroporation technologies. The electroporation phenomenon involves disruption of the cell for increasing membrane permeability. Although there is a multitude of research focused on exploring new electroporation techniques, the engineering of programming schemes suitable for these electroporation methods remains a challenge. Nanosecond stimulations could be promising candidates for these techniques owing to their ability to generate a wide range of biological responses. Here we control the membrane permeabilization of cancer cells using different numbers of electric-field pulses through orientational disordering effects. We then report our exploration of a few-volt nanosecond alternating-current (AC) stimulation method with an increased number of pulses for developing electroporation systems. A recovery time of ∼720 min was achieved, which is above the average of ∼76 min for existing electroporation methods using medium cell populations, as well as a previously unreported increased conductance with an increase in the number of pulses using weak bias amplitudes. All-atom molecular dynamics (MD) simulations reveal the orientation-disordering-facilitated increase in the degree of permeabilization. These findings highlight the potential of few-volt nanosecond AC-stimulation with an increased number of pulse strategies for the development of next-generation low-power electroporation systems.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Microbial Inactivation Methods · Pulsed Power Technology Applications · Toxin Mechanisms and Immunotoxins

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore 487372

Office of Innovation, Changi General Hospital, Singapore, 529889

Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore 138671

Funding

Singapore University of Technology and Design · Changi General Hospital · Ministry of Education - Singapore · Agency for Science, Technology and Research · Massachusetts Institute of Technology

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