The increasing number of proteomics, transcriptomics and genomic sequence data obtained from public databases provides a rare opportunity for the development of new and diversified detection technologies. At present, the technology based on the concept of liquid (suspension) array has been established and widely used in pharmaceutical, clinical and research laboratories. Creative Biolabs provides professional method development and detection services based on liquid array diagnostics (LAD) technology.
Unlike the conventional microarray technology, which is characterized by the position of the analyte on the slide, LAD technology uses different groups of microspheres in liquid suspension as the determinant of analyte specificity. The microsphere groups are internally stained with two kinds of fluorophores with different spectra. The spectral characteristics are unique for each microsphere and are determined by the different concentrations of the internal dyes, resulting in a microsphere array of 100 members with different spectra. The integration of a third internal dye has allowed the expansion of microspheres with up to 500 members.
The surface of each microsphere group allows simple chemical coupling of various reagents specific to a specific bioassay, such as nucleic acid assay, immunoassay, enzyme assay or receptor-ligand assay. Another fluorescent reporter (e.g., streptavidin-r-phycoerythrin, Alexa 532, Cy3) is coupled to the target molecule, which allowed specific capture on the surface of the microspheres for detection.
Fig.1 The LAD technology based on internally dyed microspheres. (Reslova, 2017)
There are different types of microsphere available, and their selection is usually determined by the type of instrument used for detection and the specific target analyte. Microsphere-based technology can be used in a variety of analytical forms. According to the type of analyte, we divide them into:
In general, compared with other commonly used methods, the LAD based analysis format is very open and flexible, ensuring that the result data can be obtained in a few hours with a very small number of samples, and the experimental variability can be minimized due to the use of multiple data points from a single experiment.
Fig.2 An overview of LAD method. (Hiseni, 2019)
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References
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