ReviewSmall science2025
Advances in MEMS, Optical MEMS, and Nanophotonics Technologies for Volatile Organic Compound Detection and Applications.
Review in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Electromechanical Impedance Response in CMUT-Based Gas Sensors Exposed to Volatile Organic Compounds.Sensors (Basel, Switzerland) · 2026Article
- High-Asymmetry Metasurface: A New Solution for Terahertz Resonance via Active Learning-Augmented Diffusion Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- AI‑driven photonic noses: from conventional sensors to cloud‑to-edge intelligent microsystems.Microsystems & nanoengineering · 2025Review
- Effect of Reduced Graphene Oxide Film Thickness on a Chemiresistor's Response to Volatile Organic Compounds and Warfare Agents.ACS omega · 2025Article
- A Generative AI-Assisted Piezo-MEMS Ultrasound Device for Plant Dehydration Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Near-Sensor Edge Computing System Enabled by a CMOS Compatible Photonic Integrated Circuit Platform Using Bilayer AlN/Si Waveguides.Nano-micro letters · 2025Article
- Surface-enhanced spectroscopy technology based on metamaterials.Microsystems & nanoengineering · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Volatile organic compounds (VOCs) are a class of organic compounds with high vapor pressure and low boiling points, widely present in both natural environments and human activities. VOCs released from various sources not only contribute to environmental pollution but also pose threats to ecosystems and human health. Moreover, some VOCs are considered biomarkers in exhaled breath and can be utilized to identify various diseases. Therefore, monitoring and controlling VOC emissions and concentrations are crucial for safeguarding the environment and human health. In recent years, significant advancements have been achieved in micro-electromechanical system (MEMS)-based sensing and optical sensing technologies, offering new avenues for VOC detection. This article provides a comprehensive overview of research progress in MEMS and optical VOC sensors, focusing on their sensing mechanisms and classifications. It then discusses the role of artificial intelligence in enhancing VOC identification and quantification, as well as trends toward sensor miniaturization and intelligence. Furthermore, the article highlights the diverse applications of VOC sensors in medical diagnostics, agricultural food testing, and the Internet of Things. Finally, it emphasizes the opportunities and challenges associated with MEMS and optical VOC sensors, providing valuable insights for practical applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.