2019 journal article
Synthetic molecular recognition nanosensor paint for microalbuminuria
NATURE COMMUNICATIONS, 10.
MeSH headings : Albumins / chemistry; Albumins / isolation & purification; Albuminuria / diagnosis; Albuminuria / urine; Biomarkers / blood; Biomarkers / urine; Biosensing Techniques / methods; Blood Proteins / analysis; Fatty Acids; Humans; Immobilization; Nanostructures / chemistry; Paint; Spectrometry, Fluorescence; Urine / chemistry
TL;DR:
A nanosensor paint was developed using a polymer to mimic fatty acid binding to albumin, transduced by carbon nanotube fluorescence that enables the detection of microalbuminuria in patient samples and comprises a rapid point-of-care sensor robust enough to be deployed in resource-limited settings.
(via Semantic Scholar)
open access via www.nature.com (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 26, 2019
AbstractMicroalbuminuria is an important clinical marker of several cardiovascular, metabolic, and other diseases such as diabetes, hypertension, atherosclerosis, and cancer. The accurate detection of microalbuminuria relies on albumin quantification in the urine, usually via an immunoturbidity assay; however, like many antibody-based assessments, this method may not be robust enough to function in global health applications, point-of-care assays, or wearable devices. Here, we develop an antibody-free approach using synthetic molecular recognition by constructing a polymer to mimic fatty acid binding to the albumin, informed by the albumin crystal structure. A single-walled carbon nanotube, encapsulated by the polymer, as the transduction element produces a hypsochromic (blue) shift in photoluminescence upon the binding of albumin in clinical urine samples. This complex, incorporated into an acrylic material, results in a nanosensor paint that enables the detection of microalbuminuria in patient samples and comprises a rapid point-of-care sensor robust enough to be deployed in resource-limited settings.