Analysis of noise in differential and ratiometric biosensing systems

Abayzeed, Sidahmed; Smith, Richard J.; See, Chung W.; Somekh, Michael G.

Abstract

This paper presents formulations to evaluate noise in differential and ratiometric measurements that are often performed in biosensing. These measurements are performed to improve signal to noise ratio of the sensing systems for sensitive detection of dynamic biological processes. The use of these formulations is discussed in the context of the differential intensity surface plasmon resonance (SPR) system that is widely used to characterise molecular interactions on a confined axial scale. Previous studies provide qualitative descriptions of the noise performance of such systems but lack rigorous characterisation. Here we present analytical expressions for quantitative evaluation of the noise in differential and ratiometric measurements by applying the rules of arithmetic operations on random variables. Such formulations provide the means for evaluating the signal to noise ratio of such systems. We present how correlated noise can be removed by performing differential or ratiometric processing. Applying these formulations, we also show how the sensitivity of the differential intensity SPR system changes during the experiment.

Citation

Abayzeed, S., Smith, R. J., See, C. W., & Somekh, M. G. (2018). Analysis of noise in differential and ratiometric biosensing systems. Sensors and Actuators B: Chemical, 260, 1059-1067. https://doi.org/10.1016/j.snb.2018.01.004

• Journal Article Type: Article
• Acceptance Date: Jan 2, 2018
• Online Publication Date: Jan 3, 2018
• Publication Date: May 1, 2018
• Deposit Date: Jan 9, 2018
• Publicly Available Date: Jan 9, 2018
• Journal: Sensors and Actuators B: Chemical
• Print ISSN: 0925-4005
• Electronic ISSN: 1873-3077
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 260
• Pages: 1059-1067
• DOI: https://doi.org/10.1016/j.snb.2018.01.004
• Public URL: https://nottingham-repository.worktribe.com/output/930512
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S0925400518300042
• Contract Date: Jan 9, 2018