Fluctuations in transient response of adsorption-based plasmonic sensors
Abstract
The basic parameters of a sensor element defining its ultimate performance are sensitivity and intrinsic noise. In plasmonic gas sensors both are determined by refractive index changes due to adsorption and desorption (a-d) of target analyte particles to the sensor active area. In this paper we present a general model that can be simultaneously used to determine sensitivity and intrinsic noise of a plasmonic sensor both during transients and in steady-state and is valid for multi-analyte environments. The model utilizes the conventional probabilistic approach. It is derived without any assumptions about the stochastic nature of the fundamental (a-d) process. It reveals how all stochastic properties of the processes with (pseudo) first order kinetics with the initial number of particles equal to zero can be fully determined from the deterministic solution, without any previous stochastic analysis. Based on the proposed model it is possible to establish the optimum moment for readout whe...n fluctuations are minimal. Transients last longer and fluctuations are lower at lower temperatures. The insight into the transient dynamics opens the possibility to use a single element sensor for multiple analyte sensing. Another result is that a-d noise is higher for smaller adsorption areas, which may be important for micro and nanosystems generally, since each of them has to be kept immersed in some kind of environment and thus be subject to contamination by adsorption that can significantly influence their behavior. Besides being applicable for plasmonic sensors of trace amounts of gases and other nanoplasmonic devices used in sensing, the model is applicable for other adsorption-based sensors, as well as for the investigations of stochastic phenomena in micro and nanostructures.
Keywords:
Adsorption / Desorption / Plasmonic sensor / Gas sensor / Noise / Stochastic analysisSource:
Sensors and Actuators, B: Chemical, 2014, 190, 419-428Publisher:
- Elsevier
Funding / projects:
- Micro- Nanosystems and Sensors for Electric Power and Process Industry and Environmental Protection (RS-MESTD-Technological Development (TD or TR)-32008)
- Nanostructured Functional and Composite Materials in Catalytic and Sorption Processes (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-45001)
- Dynamics of nonlinear physicochemical and biochemical systems with modeling and predicting of their behavior under nonequilibrium conditions (RS-MESTD-Basic Research (BR or ON)-172015)
DOI: 10.1016/j.snb.2013.08.084
ISSN: 0925-4005
WoS: 000326687700056
Scopus: 2-s2.0-84884835774
Collections
Institution/Community
IHTMTY - JOUR AU - Jakšić, Olga AU - Jakšić, Zoran AU - Čupić, Željko AU - Randjelović, Danijela AU - Kolar-Anić, Ljiljana PY - 2014 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/1497 AB - The basic parameters of a sensor element defining its ultimate performance are sensitivity and intrinsic noise. In plasmonic gas sensors both are determined by refractive index changes due to adsorption and desorption (a-d) of target analyte particles to the sensor active area. In this paper we present a general model that can be simultaneously used to determine sensitivity and intrinsic noise of a plasmonic sensor both during transients and in steady-state and is valid for multi-analyte environments. The model utilizes the conventional probabilistic approach. It is derived without any assumptions about the stochastic nature of the fundamental (a-d) process. It reveals how all stochastic properties of the processes with (pseudo) first order kinetics with the initial number of particles equal to zero can be fully determined from the deterministic solution, without any previous stochastic analysis. Based on the proposed model it is possible to establish the optimum moment for readout when fluctuations are minimal. Transients last longer and fluctuations are lower at lower temperatures. The insight into the transient dynamics opens the possibility to use a single element sensor for multiple analyte sensing. Another result is that a-d noise is higher for smaller adsorption areas, which may be important for micro and nanosystems generally, since each of them has to be kept immersed in some kind of environment and thus be subject to contamination by adsorption that can significantly influence their behavior. Besides being applicable for plasmonic sensors of trace amounts of gases and other nanoplasmonic devices used in sensing, the model is applicable for other adsorption-based sensors, as well as for the investigations of stochastic phenomena in micro and nanostructures. PB - Elsevier T2 - Sensors and Actuators, B: Chemical T1 - Fluctuations in transient response of adsorption-based plasmonic sensors VL - 190 SP - 419 EP - 428 DO - 10.1016/j.snb.2013.08.084 ER -
@article{ author = "Jakšić, Olga and Jakšić, Zoran and Čupić, Željko and Randjelović, Danijela and Kolar-Anić, Ljiljana", year = "2014", abstract = "The basic parameters of a sensor element defining its ultimate performance are sensitivity and intrinsic noise. In plasmonic gas sensors both are determined by refractive index changes due to adsorption and desorption (a-d) of target analyte particles to the sensor active area. In this paper we present a general model that can be simultaneously used to determine sensitivity and intrinsic noise of a plasmonic sensor both during transients and in steady-state and is valid for multi-analyte environments. The model utilizes the conventional probabilistic approach. It is derived without any assumptions about the stochastic nature of the fundamental (a-d) process. It reveals how all stochastic properties of the processes with (pseudo) first order kinetics with the initial number of particles equal to zero can be fully determined from the deterministic solution, without any previous stochastic analysis. Based on the proposed model it is possible to establish the optimum moment for readout when fluctuations are minimal. Transients last longer and fluctuations are lower at lower temperatures. The insight into the transient dynamics opens the possibility to use a single element sensor for multiple analyte sensing. Another result is that a-d noise is higher for smaller adsorption areas, which may be important for micro and nanosystems generally, since each of them has to be kept immersed in some kind of environment and thus be subject to contamination by adsorption that can significantly influence their behavior. Besides being applicable for plasmonic sensors of trace amounts of gases and other nanoplasmonic devices used in sensing, the model is applicable for other adsorption-based sensors, as well as for the investigations of stochastic phenomena in micro and nanostructures.", publisher = "Elsevier", journal = "Sensors and Actuators, B: Chemical", title = "Fluctuations in transient response of adsorption-based plasmonic sensors", volume = "190", pages = "419-428", doi = "10.1016/j.snb.2013.08.084" }
Jakšić, O., Jakšić, Z., Čupić, Ž., Randjelović, D.,& Kolar-Anić, L.. (2014). Fluctuations in transient response of adsorption-based plasmonic sensors. in Sensors and Actuators, B: Chemical Elsevier., 190, 419-428. https://doi.org/10.1016/j.snb.2013.08.084
Jakšić O, Jakšić Z, Čupić Ž, Randjelović D, Kolar-Anić L. Fluctuations in transient response of adsorption-based plasmonic sensors. in Sensors and Actuators, B: Chemical. 2014;190:419-428. doi:10.1016/j.snb.2013.08.084 .
Jakšić, Olga, Jakšić, Zoran, Čupić, Željko, Randjelović, Danijela, Kolar-Anić, Ljiljana, "Fluctuations in transient response of adsorption-based plasmonic sensors" in Sensors and Actuators, B: Chemical, 190 (2014):419-428, https://doi.org/10.1016/j.snb.2013.08.084 . .