Evidence map›Paper›PMID 41829456›Full record

ArticleSensors (Basel, Switzerland)2026

Lightweight, Compact, and High-Sensitivity Passive Fourier Transform Infrared Spectroscopy-Based Gas Detection System.

Xiangning Lu, Min Huang, Wenbin Ge, Lulu Qian, Zhanchao Wang, Yan Sun, Jinlin Chen, Wei Han

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiangning LuAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Min HuangAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Wenbin GeAVIC Guizhou Aircraft Co., Ltd., Anshun 561000, China.
Lulu QianAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Zhanchao WangAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.ORCID 0000-0002-0077-5696
Yan SunAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Jinlin ChenAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Wei HanAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.

Funding

This research was funded by Future Star Project of Chinese Academy of Sciences Aerospace In-formation Institute and Youth Innovation Promotion Association CAS. E23304010D
6 · The paper itself

Abstract

With the intensification of environmental pollution and the increasingly prominent problem of industrial harmful gas emissions, existing mainstream gas detection technologies still have obvious limitations in terms of real-time performance, non-contact capability, detection accuracy, and multi-component identification. To address this demand, this paper proposes a lightweight and compact gas detection system based on passive Fourier Transform Infrared Spectroscopy (FTIR). The system innovatively integrates an improved parallel pendulum mirror interferometer and a low-noise signal preprocessing module, and simultaneously presents a novel oversampling method fusing equal time, equal optical path difference, and digital filtering, which effectively enhances the operational stability and sampling accuracy of the spectrometer. The system features excellent platform adaptability and can be flexibly mounted on various operation carriers. Combined with a two-dimensional rotating platform and an inertial navigation module, its monitoring range and application scenarios can be further expanded. Indoor sensitivity test results show that the detection limit of the system for sulfur hexafluoride (SF

Indexed as

fourier transform infrared spectroscopygas detectionhigh precision data acquisitionreal-time monitoring

Identifiers

PMID41829456
PMCPMC12987177

What OpenQuestion holds

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Registered trials

None linked

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.