Label-free technologies for quantitative multiparameter biological analysis

In the postgenomic era, information is king and information-rich technologies are critically important drivers in both fundamental biology and medicine. It is now known that single-parameter measurements provide only limited detail and that quantitation of multiple biomolecular signatures can more f...

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Bibliographic Details
Published inAnalytical and bioanalytical chemistry Vol. 394; no. 1; pp. 121 - 135
Main Authors Qavi, Abraham J, Washburn, Adam L, Byeon, Ji-Yeon, Bailey, Ryan C
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Berlin/Heidelberg : Springer-Verlag 01.05.2009
Springer-Verlag
Subjects
Analytical Chemistry
Appropriate technology
bioassays
Biochemistry
Biochips/high-throughput screening
Biological
Biological Factors - analysis
Biology
biosensors
Characterization and Evaluation of Materials
Chemistry
Chemistry and Materials Science
Chemistry Techniques, Analytical - methods
Clinical/biomedical analysis
Drivers
Food Science
Genomics/proteomics
Immunoassays/ELISA
Laboratory Medicine
Mathematical analysis
Medicine
Monitoring/Environmental Analysis
Review
Sensitivity and Specificity
Sensors
Signatures
Staining and Labeling
Clinical/biomedical analysis
Biochips/high-throughput screening
Immunoassays/ELISA
Biosensors
Bioassays
Genomics/proteomics
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Summary:In the postgenomic era, information is king and information-rich technologies are critically important drivers in both fundamental biology and medicine. It is now known that single-parameter measurements provide only limited detail and that quantitation of multiple biomolecular signatures can more fully illuminate complex biological function. Label-free technologies have recently attracted significant interest for sensitive and quantitative multiparameter analysis of biological systems. There are several different classes of label-free sensors that are currently being developed both in academia and in industry. In this critical review, we highlight, compare, and contrast some of the more promising approaches. We describe the fundamental principles of these different methods and discuss advantages and disadvantages that might potentially help one in selecting the appropriate technology for a given bioanalytical application.
Bibliography:http://dx.doi.org/10.1007/s00216-009-2637-8
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ISSN:1618-2642
1618-2650
DOI:10.1007/s00216-009-2637-8