Integrated immunochromatographic strip with glucometer readout for rapid quantification of phosphorylated proteins

- A new technology to quantify phosphorylated proteins based on integration of immunochromatographic strip with glucometer.
- The novelty lies in converting the quantification of target biomarker to the detection of glucose amount.
- The high sensitivity results from glucose encapsulating liposomes for signal amplification.
- The platform is easily developed into a universal method applicable for the quantification of broad biomarkers.

A new technology to quantify phospho-p5315 by converting its content to the amount of glucose which is detectable by a glucometer was developed. An immunochromatographic test strip (ITS) was used as a disposable platform, where primary antibody (Ab1)-modified Fe3O4 magnetic nanoparticles (Fe3O4-Ab1) were settled on the test zone to capture both the target phospho-p5315 and the detection antibody (Ab2)-glucose encapsulating liposome (GEL) conjugate. The measurement was based on the release and subsequent detection of glucose from Ab2-GEL using a glucose meter (GM). The amount of glucose is proportional to the phospho-p5315 concentration from 0.1 to 50 ng mL−1, the limit of detection is 50 pg mL−1 (3S/N). The high sensitivity was a result of the huge number of glucose encapsulated in the liposome. Taking the advantage of low cost, widespread availability and portability of the test trip, together with the personal GM, the presented approach can be easily used to detect other disease biomarkers in medical diagnostics and environmental monitoring.

A new technology to quantify phospho-p5315 by converting its content to the amount of glucose which is detectable by a glucometer was developed. An immunochromatographic test strip (ITS) was used as a disposable platform. The measurement was based on the release and subsequent detection of glucose from Ab2-GEL using a glucose meter (GM). Taking the advantage of low cost, widespread availability and portability of the test trip, together with the personal GM, the presented approach can be easily used to detect other disease biomarkers in medical diagnostics and environmental monitoring.364