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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Related Experiment Video

Updated: Feb 12, 2026

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
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Automatic smartphone-based microfluidic biosensor system at the point of care.

Dandan Xu1, Xiwei Huang2, Jinhong Guo3

  • 1Key Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of Education, Harbin Institute of Technology, Harbin 150001, China; State Key Lab of Advanced Welding and Joining, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.

Biosensors & Bioelectronics
|March 31, 2018
PubMed
Summary

Smartphone-based microfluidic biosensors offer a portable and affordable solution for point-of-care testing. This review highlights advancements in imaging, biochemical, immunoassay, and molecular diagnostic biosensor systems for healthcare applications.

Keywords:
BiosensorMicrofluidic biosensorPoint of careSmartphone

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Point-of-Care Diagnostics

Background:

  • Traditional healthcare diagnostics are often costly and cumbersome.
  • The integration of smartphones and microfluidics offers a solution for accessible point-of-care testing (POCT).
  • Smartphone-based microfluidic biosensors combine mobile technology with microfluidic components for versatile biomedical sensing.

Purpose of the Study:

  • To review recent developments in smartphone-based microfluidic biosensor systems for point-of-care detection.
  • To provide an overview of different sensing modalities and their applications.
  • To discuss the future prospects of these advanced diagnostic tools.

Main Methods:

  • Review of existing literature on smartphone-based microfluidic biosensors.
  • Categorization based on sensing modalities: imaging, biochemical, immunoassay, and molecular diagnosis.
  • Analysis of structures, analytical methods, and sensing modalities.

Main Results:

  • Five types of smartphone-based microfluidic biosensors are discussed: imaging, biochemical, immune, hybrid, and molecular sensors.
  • Emphasis on structures, analytical methods, and sensing modalities for various analytes (cells, bacteria, glucose, proteins, DNA).
  • Detailed discussion on the application potential of these biosensor systems.

Conclusions:

  • Smartphone-based microfluidic biosensors represent a significant advancement in point-of-care diagnostics.
  • These systems offer potential for wide application in healthcare due to their portability and affordability.
  • The review provides insights into current developments and future directions in automated biosensing technology.