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Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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Related Experiment Video

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Fluorescence detection methods for microfluidic droplet platforms
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Bimodal Array-Based Fluorescence Sensor and Microfluidic Technology for Protein Fingerprinting and Clinical

Monica Swetha Bosco1, Delphine Naud-Martin2,3, Carlos Gonzalez-Galindo1

  • 1Unité de Technologies Chimiques et Biologiques pour la Santé - UTCBS, Faculté de Pharmacie de Paris, Université Paris Cité, CNRS UMR 8258, Inserm U1267, 75006 Paris, France.

ACS Applied Bio Materials
|November 12, 2024
PubMed
Summary

A novel fluorescence sensor array detects 14 proteins with 98% accuracy in human samples. This technology shows promise for early disease diagnosis by analyzing proteomic changes.

Keywords:
Array-based sensorfingerprintingfluorescencehost−guest chemistrypattern recognition

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Proteomics

Background:

  • Proteins are key indicators of human disease states.
  • Developing accurate diagnostic sensors for proteins is crucial for medical advancements.

Purpose of the Study:

  • To develop and optimize a fluorescence-based chemical sensing array for protein detection.
  • To investigate global proteomic changes for disease state fingerprinting.

Main Methods:

  • Utilized host-guest interaction between cucurbit[7]uril (CB[7]) and fluorescent triphenylamine derivatives (TPA).
  • Employed linear discriminant analysis for fluorescence fingerprint identification.
  • Optimized the array on an automated droplet microfluidic platform for high-throughput sensing.

Main Results:

  • Successfully identified fluorescence fingerprints of 14 proteins with over 98% accuracy.
  • Demonstrated protein discrimination in both physiological buffer and human serum.
  • Validated sensor performance in model urine for phenylketonuria and serum from preeclamptic women.

Conclusions:

  • The developed sensor array effectively detects and discriminates proteins, offering a powerful tool for disease diagnosis.
  • The high-throughput microfluidic platform enables efficient analysis with minimal sample volume.
  • This technology holds significant promise for advancing diagnostic capabilities in clinical settings.