ArticleRSC advances2025
Interferometric optical sensors based on porous silicon grafted with styrenic moieties for highly enhanced VOC detection.
Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Optical and Electrochemical Biosensors Using Electrochemically Etched Porous Silicon.Biosensors · 2026Review
- Advances in Porous Silicon Materials for Sensing, Energy Storage, and Microelectronics.Nanomaterials (Basel, Switzerland) · 2026Review
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
The majority of volatile organic compounds (VOCs) are hazardous pollutants that pose significant risks to human health and the environment. Thus, the development of a smart sensing system for the early identification of VOCs would be in high demand, particularly those enabling rapid detection with high sensitivity and long-term stability. In this study, an interferometric optical sensor was rationally devised through the facile non-atmospheric thermolysis of polystyrene (PS) pre-loaded into a porous silicon (pSi) template prepared
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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.