PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 17, 2026Journal of Science Advanced Materials and Devices2 citationsOpen Access

Defect-Driven Material Design for High-Performance Semiconducting Gas Sensing Applications

View Full Paper
VPVijayakumar ParanthamanSLSyama LenusLGLalitha Gnanasekaran

Key Points

  • The aim is to investigate how defect manipulation can improve the performance of semiconducting gas sensors.
  • Systematic categorization of defects based on dimensional characteristics.
  • Analysis of defect impacts on material performance.
  • Review of defect generation strategies in various materials like metal oxides and 2D materials.
  • Examination of literature on defect-induced transformations in sensing materials.
  • Defect engineering significantly enhances electronic and surface properties of semiconducting materials.
  • Increased understanding of defects allows for improved selectivity and sensitivity in gas sensors.
  • Future insights suggest promising directions for enhancing gas sensor design through defect control.

Abstract

The development of gas sensors over the past two decades has been remarkable. Growing concerns over poor air quality and increasing commercial demand have driven researchers to innovate more efficient gas sensing technologies across various fields, including environmental monitoring, medical diagnostics, food safety, and industrial production. However, the performance of existing pristine materials remains inadequate to meet the requirements of high selectivity, sensitivity, and stability. To address this, defect engineering has emerged as a crucial strategy for modifying and enhancing material properties. Defects disrupt a material's symmetry, and the goal is to design the 'perfect defect '—removing detrimental defects while introducing beneficial ones that improve the structure–function relationship of sensing materials. These improvements span their electronic structure, atomic and molecular-level interactions, specific surface area, and metal–oxygen bonding. While defect influences are pivotal in many applications, their effective implementation in gas-sensing materials requires a deeper understanding of defect formation and precise control of defects. This review explores the role of defect manipulation in semiconducting gas sensors, systematically categorizing defects such as point defects, vacancies, substitutions, surface defects, grain and twin boundaries, as well as line and volume defects, based on their dimensional characteristics. We analyze their effects on material performance and detail various strategies for defect generation. The review highlights and summarizes key literature from the past decade, emphasizing defect-induced transformations in materials such as metal oxides, metal nitrides, carbon nitrides, and 2D materials (including graphene, black phosphorus, transition metal dichalcogenides, and MXenes). Furthermore, the review identifies current challenges and offers future perspectives for advancing defect design in gas sensor applications. • Explores defect engineering to improve semiconducting gas sensor performance. • Reviews dimensional classification of defects and their functional roles. • Discusses defect generation strategies in oxides, nitrides, and 2D materials. • Highlights impact of defects on surface area, bonding, and electronic properties. • Offers insights into challenges and future prospects in gas sensor engineering.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Paranthaman et al. (2026) studied this question.

synapsesocial.com/papers/69b8f162deb47d591b8c64f1https://doi.org/10.1016/j.jsamd.2026.101150
Ask AI
Helpful
Bookmark
Share
View Full Paper