AI Article Synopsis

  • A new point-of-care platform has been developed that combines reliability and user-friendliness for detecting phenylalanine in blood samples from patients with phenylketonuria (PKU).
  • The system includes a mobile app for data collection and visualization, an electronic unit, and a disposable sensor that utilizes enzymatic recognition and gold nanostructure formation for accurate measurements.
  • Clinical testing has shown that this "smart sensor" allows PKU patients to self-monitor their phenylalanine levels, enabling quick adjustments to their therapy and improving overall health management.

Article Abstract

Development of point-of-care platforms combining reliability and ease of use is a challenge for the evolution of sensing in healthcare technologies. Here, we report the development and testing of a fully integrated enzymatic colorimetric assay for the sensing of phenylalanine in blood samples from phenylketonuria patients. The platform works with a customized mobile app for data acquisition and visualization and comprises an electronic system and a disposable sensor. The sensing approach is based on specific enzymatic phenylalanine recognition, and the optical transduction method is based on in situ gold nanostructure formation. The phenylketonuria (PKU) smart sensor platform is conceived to perform self-monitoring on phenylalanine levels and real-time therapy tuning, thanks to the direct connection with clinicians. Validation of the technologies with a population of patients affected by PKU, together with the concurrent validation of the platform through centralized laboratories, has confirmed the good analytical performances in terms of sensitivity and specificity, robustness, and utility for phenylalanine sensing. The self-monitoring of phenylalanine for the daily identification of abnormal health conditions could facilitate rapid therapy tuning, improving the wellness of PKU patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683505PMC
http://dx.doi.org/10.1021/acssensors.3c01384DOI Listing

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