Cremin Kelsey, Meloni Gabriel N, Valavanis Dimitrios, Soyer Orkun S, Unwin Patrick R
Bio-Electrical Engineering Innovation Hub, Department of Chemistry, Molecular Analytical Science Centre for Doctoral Training (MAS CDT), School of Life Sciences, the University of Warwick, Coventry CV4 7AL, United Kingdom.
ACS Meas Sci Au. 2023 Jul 10;3(5):361-370. doi: 10.1021/acsmeasuresciau.3c00019. eCollection 2023 Oct 18.
Ultramicroelectrode (UME), or, equivalently, microelectrode, probes are increasingly used for single-cell measurements of cellular properties and processes, including physiological activity, such as metabolic fluxes and respiration rates. Major challenges for the sensitivity of such measurements include: (i) the relative magnitude of cellular and UME fluxes (manifested in the current); and (ii) issues around the stability of the UME response over time. To explore the extent to which these factors impact the precision of electrochemical cellular measurements, we undertake a systematic analysis of measurement conditions and experimental parameters for determining single cell respiration rates via the oxygen consumption rate (OCR) in single HeLa cells. Using scanning electrochemical microscopy (SECM), with a platinum UME as the probe, we employ a self-referencing measurement protocol, rarely employed in SECM, whereby the UME is repeatedly approached from bulk solution to a cell, and a short pulse to oxygen reduction reaction (ORR) potential is performed near the cell and in bulk solution. This approach enables the periodic tracking of the bulk UME response to which the near-cell response is repeatedly compared (referenced) and also ensures that the ORR near the cell is performed only briefly, minimizing the effect of the electrochemical process on the cell. SECM experiments are combined with a finite element method (FEM) modeling framework to simulate oxygen diffusion and the UME response. Taking a realistic range of single cell OCR to be 1 × 10 to 1 × 10 mol s, results from the combination of FEM simulations and self-referencing SECM measurements show that these OCR values are at, or below, the present detection sensitivity of the technique. We provide a set of model-based suggestions for improving these measurements in the future but highlight that extraordinary improvements in the stability and precision of SECM measurements will be required if single cell OCR measurements are to be realized.
超微电极(UME),或者等效地说微电极探头,越来越多地用于对细胞特性和过程进行单细胞测量,包括生理活动,如代谢通量和呼吸速率。此类测量灵敏度面临的主要挑战包括:(i)细胞通量和UME通量的相对大小(体现在电流中);以及(ii)UME响应随时间的稳定性问题。为了探究这些因素对电化学细胞测量精度的影响程度,我们对通过单个HeLa细胞中的耗氧率(OCR)来测定单细胞呼吸速率的测量条件和实验参数进行了系统分析。使用以铂UME作为探头的扫描电化学显微镜(SECM),我们采用了一种在SECM中很少使用的自参考测量方案,即UME从本体溶液反复靠近细胞,并在细胞附近和本体溶液中对氧还原反应(ORR)电位施加短脉冲。这种方法能够定期跟踪本体UME响应,并将细胞附近的响应与之反复比较(参考),还能确保仅在细胞附近短暂进行ORR,从而将电化学过程对细胞的影响降至最低。SECM实验与有限元方法(FEM)建模框架相结合,以模拟氧扩散和UME响应。考虑到单细胞OCR的实际范围为1×10至1×10 mol s,FEM模拟和自参考SECM测量相结合的结果表明,这些OCR值处于该技术目前的检测灵敏度或以下。我们提供了一组基于模型的未来改进这些测量的建议,但强调如果要实现单细胞OCR测量,SECM测量的稳定性和精度需要有显著提高。