| abstract |
Understanding the amount of exposure individuals have had to common chemical pollutants critically requires the ability to detect those compounds in a simple, sensitive, and specific manner. Doing so using label-free biosensor technology has proven challenging, however, given the small molecular weight of many pollutants of interest. To address this issue, a pollutant microarray based on the label-free Arrayed Imaging Reflectometry (AIR) detection platform was developed. The sensor that has undergone a two-step blocking process is able to detect three common environmental contaminants (benzo[a]pyrene (200), bisphenol A (202), and acrolein (204 and 206) in human serum via a competitive binding scheme. |