Inorganic Semiconductors in Biosensors: Design, Mechanisms, and Applications

A special issue of Inorganics (ISSN 2304-6740). This special issue belongs to the section "Inorganic Materials".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 2

Special Issue Editor

College of Information Science and Technology, Dalian Maritime University, Linghai Road 1, Ganjingzi District, Dalian 116026, China
Interests: gas-sensitive materials; memristive gas sensors; flexible gas sensor; first-principles calculations

Special Issue Information

Dear Colleagues,

In recent years, biosensors have demonstrated outstanding application potential in intelligent interaction, medical diagnostics, and environmental monitoring by precisely emulating the sensing mechanisms of biological senses (e.g., olfaction, vision, and touch). Inorganic semiconductors, owing to their controllable electronic/ionic transport properties, excellent stability, and designable structural features, have become the key to achieving breakthroughs in biomimetic sensing technology. On one hand, precision design strategies such as defect engineering, heterostructure construction, and nanostructuring are employed to achieve efficient replication of biological sensing processes. On the other hand, the deep integration of theoretical calculations, machine learning-assisted material design, and micro/nano-fabrication technologies is accelerating the screening of high-performance biomimetic sensing materials and the integration of devices. The above advancements provide crucial support for overcoming the performance limitations of traditional sensors and establishing a new generation of multimodal, intelligent biosensing systems.

Special Issue Topics include, but are not limited to, the following:

  • High-performance inorganic semiconductors for biosensors;
  • Design of inorganic semiconductor nanostructures and mechanisms for high sensitivity;
  • Design, fabrication, and application of multimodal biosensors;
  • Theoretical calculations and mechanism predictions for inorganic semiconductor biosensing;
  • Machine learning-assisted screening of inorganic semiconductors and intelligent integration of biosensors.

We look forward to receiving your contributions.

Dr. Peilun Qiu
Guest Editor

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Keywords

  • inorganic semiconductors
  • metal oxide semiconductors
  • two-dimensional inorganic semiconductors
  • semiconductor quantum dots
  • heterostructures
  • biosensors
  • biomimetic sensors
  • machine learning
  • intelligent biosensing systems

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Published Papers

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