Creative and novel microimmunoassay approaches continue to proliferate across many platforms originating from several fields of study. These efforts are aimed at improving one or more metrics for clinical tests, including improved sensitivity, increased speed, reduced cost, smaller sample size, the ability to analyze multiple antigens in parallel and ease of use. Many approaches focus on the production of microarrays that accomplish standard assays in parallel, or mobile solid-support formats to overcome issues of high background noise and long incubation times. In this article, innovative developments beyond existing commercial tests in the microimmunoassay arena are reviewed, covering January 2008 to April 2012. These developing experimental platforms are discussed in terms of their ability to augment or replace current commercial approaches.
Blood is one of the most important biofluids used for clinical diagnostics. Cells and proteins in the blood can provide a rich source of information for the evaluation of human health. Efficient separation of blood components is a necessary process in order to minimize the interference of unwanted components during sensing, separation, and detection. In this paper, an insulator-based gradient dielectrophoretic device has been applied to separate red blood cells from model protein biomarkers for myocardial infarction in buffer. Within one min, red blood cells are largely depleted regardless of the minimum adherence on the channel wall. Considering the adhered red blood cells will not be transported further, a purified protein solution can be delivered for potential downstream processing or detection. Graphical Abstract ᅟ.
Immunoassays exploit the highly selective interaction between antibodies and antigens to provide a vital method for biomolecule detection at low concentrations. Developers and practitioners of immunoassays have long known that nonspecific binding often restricts immunoassay limits of quantification (LOQ). Aside from non-specific binding, most efforts by analytical chemists to reduce the LOQ for these techniques have focused on improved signal amplification methods and minimizing the limitations of the detection system. However, with detection technology now capable of sensing single fluorescent molecules, this approach is unlikely to lead to dramatic improvements in the future. Here, fundamental interactions based on the law of mass action are analytically connected to signal generation, replacing the four and five parameter fittings commercially used to approximate sigmoidal immunoassay curves and allowing quantitative consideration of non-specific binding and statistical limitations in order to understand the ultimate detection capabilities of immunoassays. The restrictions imposed on limits of quantification by instrumental noise, non-specific binding and counting statistics are discussed based on equilibrium relations for a sandwich immunoassay. Understanding the maximal capabilities of immunoassays for each of these regimes can greatly assist in the development and evaluation of immunoassay platforms. While many studies suggest that single molecule detection is possible through immunoassay techniques, here it is demonstrated that the fundamental limit of quantification (precision of 10% or better) for an immunoassay is approximately 131 molecules and this limit is based on fundamental and unavoidable statistical limitations.
Options for biomedical analysis continue to evolve from many fields of study, employing diverse detection and quantification methods. New technologies in this arena focus on improving the sensitivity of analysis and the speed of testing, as well as producing systems at low cost which can be used on site as a point-of-care device for telemedicine applications. In this article, the most important original experimental platforms as well as current commercial approaches to biomedical analysis are critically chosen and reviewed, covering January 2010 to January 2014. While literature is quite broad and numerous, there is clear emphasis on biological recognition and imaging for the most impactful works. The analytical approaches are discussed in terms of their utility in diagnostics and biomedical testing.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.