Evidence map›Paper›PMID 39679864›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Wearable Temperature Sensor Enhanced Volatilomics Technique for Swift and Convenient Detection of Latrogenic Botulism.

Xiaoyang Li, Yufei Yan, Chenyi Hu, Jing Wang, Jinlin Wang, Hao Yang, Daxiang Cui, Wenwen Xin, Shan Gao, Han Jin

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

10 authors.

Xiaoyang LiState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Yufei YanInstitute of Micro-Nano Science and Technology & National Key Laboratory of Advanced Micro and Nano Manufacture Technology, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Chenyi HuState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Jing WangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Jinlin WangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Hao YangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Daxiang CuiInstitute of Micro-Nano Science and Technology & National Key Laboratory of Advanced Micro and Nano Manufacture Technology, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Wenwen XinState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Shan GaoState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Han JinMedical School, Henan University, Kaifeng, Henan Province, 475004, P. R. China.ORCID https://orcid.org/0009-0006-2752-9379

Funding

Ministry of Science and Technology of China 2017YFA0205300National Natural Science Foundation of China 62227815Shanghai Science and Technology Commission standard project 2022Z096Shanghai Science and Technology Commission standard project 21DZ2203200Shanghai Science and Technology Commission standard project SKLPBS2249
6 · The paper itself

Abstract

Accurately assessing potential side effects following botulinum neurotoxin (BoNT) injection remains a formidable challenge. To address this issue, an innovative approach is developed that combines a wearable temperature sensor with a sophisticated volatilomics technique, aimed at facilitating the rapid and convenient prediction of potential physical discomfort related to latrogenic botulism. The investigation identifies five volatile organic compounds (VOCs)-acetone, styrene, ethanol, 2-pentanone, and n-butano-as promising markers indicative of BoNT poisoning. Specifically, a handheld breath analyzer, featuring a yttrium stabilized zirconia (YSZ)-based gas sensor array, alongside a wearable temperature sensor integrated with a bio-compatible methacrylated gelatin (GelMA) sensing film, are developed to simultaneously monitor breath signal variations and body temperature fluctuations. Preliminary animal testing validates the effectiveness of the integrated approach, achieving an accuracy exceeding 91.2% in early detection of physical discomfort associated with BoNT poisoning. These promising findings represent a significant advancement towards the early identification of BoNT-related issues, enabling timely intervention and improved management strategies.

Indexed as

BotulismVolatile Organic CompoundsWearable Electronic DevicesAnimalsBotulinum ToxinsBreath TestsHumansMaleTemperatureBotulinum ToxinsVolatile Organic CompoundsBotulinum neurotoxin (BoNT) poisoningGelMA filmVolatile markersWearable temperature sensorYSZ‐based gas sensors

Identifiers

PMID39679864
PMCPMC11809335

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.