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Development of an Optimized Method for the Rapid Quantification of Exosomes

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Exosomes are nanometer-sized vesicles bound by a lipid membrane. Their emerging significance as disease biomarkers makes them a compelling choice for future diagnostic methodologies. This transformative approach replaces the discomfort of needle biopsies with “liquid biopsies”, where the analysis of exosomes secreted into circulating bodily fluids such as blood and urine by parent cells offers a precise means to detect and assess the severity of diseases. Therefore, these methods can also be used to study the effectiveness of treatments. However, a major obstacle in the field of exosome research is the complexity involved in the isolation of pure exosome samples and their direct quantification, mainly due to their small size. The development of an efficient, inexpensive, and easy method for the isolation and precise quantification of exosomes from clinical samples would remarkably enhance research on their potential as biomarkers for a range of diseases and therapeutic systems. In this study, we used absorption and fluorescence spectra as indicators to quantify the exosome count within a given sample. In this study, we used absorption and fluorescence spectra as indicators to quantify the exosome count within a given sample and compared the results with those from protein concentration assays and dynamic light scattering measurements. These techniques require no disruption or manipulation of the extracellular vesicles and leave them unchanged for further studies, such as protein and RNA content determination. This study revealed that spectrophotometric readings could provide an estimate of the exosome concentration present in a sample.

Original languageEnglish
Title of host publicationAdvanced Optical Techniques in Biosciences
PublisherCRC Press
Pages167-177
Number of pages11
ISBN (Electronic)9781040540305
ISBN (Print)9781032937687
DOIs
Publication statusPublished - 01-01-2026

All Science Journal Classification (ASJC) codes

  • General Biochemistry,Genetics and Molecular Biology
  • General Engineering
  • General Physics and Astronomy
  • General Agricultural and Biological Sciences
  • General Arts and Humanities

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