title: Biomolecular detection employing the Interferometric Reflectance Imaging Sensor (IRIS).
abstract: The sensitive measurement of biomolecular interactions has use in many fields and industries such as basic biology and microbiology, environmental/agricultural/biodefense monitoring, nanobiotechnology, and more. For diagnostic applications, monitoring (detecting) the presence, absence, or abnormal expression of targeted proteomic or genomic biomarkers found in patient samples can be used to determine treatment approaches or therapy efficacy. In the research arena, information on molecular affinities and specificities are useful for fully characterizing the systems under investigation. Many of the current systems employed to determine molecular concentrations or affinities rely on the use of labels. Examples of these systems include immunoassays such as the enzyme-linked immunosorbent assay (ELISA), polymerase chain reaction (PCR) techniques, gel electrophoresis assays, and mass spectrometry (MS). Generally, these labels are fluorescent, radiological, or colorimetric in nature and are directly or indirectly attached to the molecular target of interest. Though the use of labels is widely accepted and has some benefits, there are drawbacks which are stimulating the development of new label-free methods for measuring these interactions. These drawbacks include practical facets such as increased assay cost, reagent lifespan and usability, storage and safety concerns, wasted time and effort in labelling, and variability among the different reagents due to the labelling processes or labels themselves. On a scientific research basis, the use of these labels can also introduce difficulties such as concerns with effects on protein functionality/structure due to the presence of the attached labels and the inability to directly measure the interactions in real time. Presented here is the use of a new label-free optical biosensor that is amenable to microarray studies, termed the Interferometric Reflectance Imaging Sensor (IRIS), for detecting proteins, DNA, antigenic material, whole pathogens (virions) and other biological material. The IRIS system has been demonstrated to have high sensitivity, precision, and reproducibility for different biomolecular interactions [1-3]. Benefits include multiplex imaging capacity, real time and endpoint measurement capabilities, and other high-throughput attributes such as reduced reagent consumption and a reduction in assay times. Additionally, the IRIS platform is simple to use, requires inexpensive equipment, and utilizes silicon-based solid phase assay components making it compatible with many contemporary surface chemistry approaches. Here, we present the use of the IRIS system from preparation of probe arrays to incubation and measurement of target binding to analysis of the results in an endpoint format. The model system will be the capture of target antibodies which are specific for human serum albumin (HSA) on HSA-spotted substrates.
authors.affiliation: Department of Electrical and Computer Engineering, Boston University, USA.
authors.forename: Carlos A
authors.initials: CA
authors.lastname: Lopez
authors.forename: George G
authors.initials: GG
authors.lastname: Daaboul
authors.forename: Sunmin
authors.initials: S
authors.lastname: Ahn
authors.forename: Alexander P
authors.initials: AP
authors.lastname: Reddington
authors.forename: Margo R
authors.initials: MR
authors.lastname: Monroe
authors.forename: Xirui
authors.initials: X
authors.lastname: Zhang
authors.forename: Rostem J
authors.initials: RJ
authors.lastname: Irani
authors.forename: Chunxiao
authors.initials: C
authors.lastname: Yu
authors.forename: Caroline A
authors.initials: CA
authors.lastname: Genco
authors.forename: Marina
authors.initials: M
authors.lastname: Cretich
authors.forename: Marcella
authors.initials: M
authors.lastname: Chiari
authors.forename: Bennett B
authors.initials: BB
authors.lastname: Goldberg
authors.forename: John H
authors.initials: JH
authors.lastname: Connor
authors.forename: M Selim
authors.initials: MS
authors.lastname: Ünlü
mesh_terms: D000906:Antibodies / Q000032:analysis / Q000276:immunology; D000918:Antibody Specificity; D015374:Biosensing Techniques / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D007368:Interferometry / Q000295:instrumentation / Q000379:methods*; D008029:Lighting / Q000295:instrumentation / Q000379:methods; D010783:Photometry / Q000295:instrumentation / Q000379:methods; D012709:Serum Albumin / Q000276:immunology
chemical_list: D000906:Antibodies; D012709:Serum Albumin