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Integration of sample preparation and analysis into an optofluidic chip for multi-target disease detection. | LitMetric

AI Article Synopsis

  • The study discusses a new optofluidic platform designed for efficiently detecting molecular biomarkers from biological samples with high specificity and sensitivity.
  • This platform integrates both sample preparation and analysis, thereby reducing sample volume requirements and minimizing the risks of errors and contamination that occur when using separate systems.
  • It successfully demonstrates the ability to simultaneously identify Zika virus nucleic acids and proteins in various samples, allowing for accurate diagnosis and differentiation from similar viruses like dengue.

Article Abstract

Detection of molecular biomarkers with high specificity and sensitivity from biological samples requires both sophisticated sample preparation and subsequent analysis. These tasks are often carried out on separate platforms which increases required sample volumes and the risk of errors, sample loss, and contamination. Here, we present an optofluidic platform which combines an optical detection section with single nucleic acid strand sensitivity, and a sample processing unit capable of on-chip, specific extraction and labeling of nucleic acid and protein targets in complex biological matrices. First, on-chip labeling and detection of individual lambda DNA molecules down to concentrations of 8 fM is demonstrated. Subsequently, we demonstrate the simultaneous capture, fluorescence tagging and detection of both Zika specific nucleic acid and NS-1 protein targets in both buffer and human serum. We show that the dual DNA and protein assay allows for successful differentiation and diagnosis of Zika against cross-reacting species like dengue.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264894PMC
http://dx.doi.org/10.1039/c8lc00966jDOI Listing

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