The noise due to stochastic fluctuations of the number of adsorbed analyte particles, caused by random adsorption-desorption (AD) process coupled with analyte convection and diffusion, is inherent to adsorption-based bio/chemical sensors. It posses the fundamental limit for the detection of analyte. In this study we perform an analysis of the signal-to-noise ratio (SNR) of microfluidic sensors, taking into account their AD noise. We have shown that mass transfer significantly influences the possibility to achieve the acceptable SNR value. It also influences the minimal detectable concentration and also the time necessary to reach the SNR value that ensures reliable real-time detection and quantification of the analyte
Real-time in situ operation of bio/chemical sensors assumes detection of chemical substances or biol...
Real-time in situ operation of bio/chemical sensors assumes detection of chemical substances or biol...
In this paper we first give a short review of two stochastic models describing both the expected val...
The noise due to stochastic fluctuations of the number of adsorbed analyte particles, caused by rand...
Detection limits in microfluidic chemical and biological sensors, which determine the range of analy...
Detection limits in microfluidic chemical and biological sensors, which determine the range of analy...
Detection limits in microfluidic chemical and biological sensors, which determine the range of analy...
In order to improve the interpretation of measurement results and to achieve the optimal performance...
We present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operat...
We present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operat...
In order to improve the interpretation of measurement results and to achieve the optimal performance...
In this paper we first give a short review of two stochastic models describing both the expected val...
We present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operat...
We present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operat...
In this paper we first give a short review of two stochastic models describing both the expected val...
Real-time in situ operation of bio/chemical sensors assumes detection of chemical substances or biol...
Real-time in situ operation of bio/chemical sensors assumes detection of chemical substances or biol...
In this paper we first give a short review of two stochastic models describing both the expected val...
The noise due to stochastic fluctuations of the number of adsorbed analyte particles, caused by rand...
Detection limits in microfluidic chemical and biological sensors, which determine the range of analy...
Detection limits in microfluidic chemical and biological sensors, which determine the range of analy...
Detection limits in microfluidic chemical and biological sensors, which determine the range of analy...
In order to improve the interpretation of measurement results and to achieve the optimal performance...
We present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operat...
We present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operat...
In order to improve the interpretation of measurement results and to achieve the optimal performance...
In this paper we first give a short review of two stochastic models describing both the expected val...
We present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operat...
We present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operat...
In this paper we first give a short review of two stochastic models describing both the expected val...
Real-time in situ operation of bio/chemical sensors assumes detection of chemical substances or biol...
Real-time in situ operation of bio/chemical sensors assumes detection of chemical substances or biol...
In this paper we first give a short review of two stochastic models describing both the expected val...