A Microfluidic-Colorimetric Sensor for Continuous Monitoring of Reactive Environmental Chemicals

Colorimetry is a powerful sensing principle that detects a target analyte based on a reaction-induced color change. The approach can be highly sensitive and selective when a sensing material that reacts specifically with the analyte is found, but the specific reaction is usually accompanied by slow recovery and irreversibility, making continuous monitoring of air quality difficult. Consequently, colorimetry is often one-time only and single-point measurement. To overcome the difficulty, the present work reports a combined microfluidic and colorimetric approach that measures time evolution of a color gradient along a microfluidic channel via a complementary metal-oxide-semiconductor (CMOS) imager. The change of the color gradient provides continuous monitoring of the analyte concentration over many hours, and the principle and capability of the approach is demonstrated by theoretical simulation, and experimental validation with real samples.

[1]  Yuyuan Tian,et al.  Ultrasensitive detection of nitrogen oxides over a nanoporous membrane. , 2010, Analytical chemistry.

[2]  B. Högstedt,et al.  Frequency of patients with acute asthma in relation to ozone, nitrogen dioxide, other pollutants of ambient air and meteorological observations , 1997, International archives of occupational and environmental health.

[3]  Wonho Yang,et al.  Estimation of occupational and nonoccupational nitrogen dioxide exposure for Korean taxi drivers using a microenvironmental model. , 2004, Environmental research.

[4]  F. Polonara,et al.  Thermophysical properties of greenhouse gases thermal conductivity and dynamic viscosity as function of temperature and pressure , 1996 .

[5]  Neal A. Rakow,et al.  A colorimetric sensor array for odour visualization , 2000, Nature.

[6]  Sumarno,et al.  Solubilities and diffusion coefficients of carbon dioxide and nitrogen in polypropylene, high-density polyethylene, and polystyrene under high pressures and temperatures , 1999 .

[7]  H. Stone A simple derivation of the time‐dependent convective‐diffusion equation for surfactant transport along a deforming interface , 1990 .

[8]  H. Papen,et al.  Influence of acid rain and liming on fluxes of NO and NO2 from forest soil , 1998, Plant and Soil.

[9]  B. Navarrete,et al.  Air Quality Monitoring Network Design to Control Nitrogen Dioxide and Ozone, Applied in Granada, Spain , 2011 .

[10]  T. F. Russell,et al.  NUMERICAL METHODS FOR CONVECTION-DOMINATED DIFFUSION PROBLEMS BASED ON COMBINING THE METHOD OF CHARACTERISTICS WITH FINITE ELEMENT OR FINITE DIFFERENCE PROCEDURES* , 1982 .

[11]  Gregory M. Johnson,et al.  Using the Integrated Empirical Rate-Reactive Plume Model in Assessment of the Potential Effects of Shuaiba Industrial Area NOx Plumes on Photochemical Smog Concentrations , 2003 .

[12]  J. Birks,et al.  Luminol/H2O2 chemiluminescence detector for the analysis of nitric oxide in exhaled breath. , 1999, Analytical chemistry.

[13]  M. Quintard,et al.  Experimental measurement of the effective diffusion and thermodiffusion coefficients for binary gas mixture in porous media , 2010 .

[14]  Elisabeth A. Holland,et al.  A reexamination of the impact of anthropogenically fixed nitrogen on atmospheric N2O and the stratospheric O3 layer , 1997 .

[15]  Suresh G. Advani,et al.  Numerical simulations of Stokes–Brinkman equations for permeability prediction of dual scale fibrous porous media , 2010 .