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pH Programmed Optical Sensor Arrays for Cancer Plasma Straightforward Discrimination Based on Protein-Responsive

Jiaxiang Ding1,2, Jiaheng Shi1, Xiaomei Sun3

  • 1Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China.

Analytical Chemistry
|August 30, 2022
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Summary

This study presents a novel pH programmed fluorescence sensor array for distinguishing cancer plasma from healthy samples. This innovative diagnostic tool achieved 100% accuracy in identifying various cancer types, offering a promising approach for early disease detection.

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Cancer Diagnostics

Background:

  • Mammalian olfactory system-inspired sensor arrays show potential for disease diagnostics.
  • Distinguishing cancer plasma from healthy samples is crucial for early detection and treatment.

Purpose of the Study:

  • To design a pH programmed fluorescence sensor array for straightforward discrimination of different cancer plasma types.
  • To simplify the programmable design of sensor arrays by using a single nanomaterial programmed with different pH values.

Main Methods:

  • Development of a pH programmed fluorescence sensor array utilizing protein-responsive patterns.
  • Investigation of the sensor's protein responsiveness mechanism using molecular docking, fluorescence resonance energy transfer (FRET), and fluorescence lifetime experiments.

Main Results:

  • The sensor array successfully discriminated between plasma from healthy individuals and patients with gastric, liver, breast, and cervical cancers.
  • Blind tests of unknown plasma samples were identified with 100% accuracy.

Conclusions:

  • The pH programmed fluorescence sensor array offers a simplified and highly accurate method for cancer plasma discrimination.
  • This technology holds significant promise for point-of-care disease diagnostics and clinical applications.