Evidence map›Paper›PMID 41048744›Full record

ArticleACS omega2025

Optical Fiber Sensor with Dynamically Responsive Cladding for Real-Time Breath Pattern Monitoring.

Pillalamarri Srikrishnarka, Jani Patrakka, Zhipei Sun, Nonappa

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Pillalamarri SrikrishnarkaFaculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, FI-33720 Tampere, Finland.ORCID https://orcid.org/0000-0001-5187-6879
Jani PatrakkaFaculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, FI-33720 Tampere, Finland.
Zhipei SunDepartment of Electronics and Nanoengineering, Aalto University, Maarintie 13, Espoo 02150, Finland.ORCID https://orcid.org/0000-0002-9771-5293
NonappaFaculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, FI-33720 Tampere, Finland.ORCID https://orcid.org/0000-0002-6804-4128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and real-time monitoring of humidity changes is critical, as they impact human health, material storage, and stability, industrial fabrication, microbial transmission, and agriculture. In recent years, optical fiber-based sensors have emerged as promising candidates for monitoring exhaled and inhaled breath humidity to assess respiratory rate, with the goal of supporting clinical diagnosis and patient care. Conventional multimode plastic optical fibers utilize a high refractive index core and lower refractive index cladding for effective total internal reflection (TIR) to achieve waveguiding. In contrast, here, we fabricated an optical fiber-based sensor with a higher refractive index (1.52) biopolymer-based cladding onto a lower refractive index (1.49) poly-(methyl methacrylate) (PMMA) core. We demonstrate that the cladding dynamically responds to a rapid humidity change by altering the refractive index and improving the TIR, allowing real-time humidity monitoring. Our results show that the sensitivity was characterized by a second-order polynomial fit, with a sensitivity of 0.18 dB/%RH (in the range of 40-70% RH) and an overall attenuation reduction of 9.4 dB at 70% RH. A proof-of-concept device, by ready integration of a fiber into a miniaturized platform, allowed for rapid and real-time exhaled breath humidity detection and differentiation of nasal and oral breathing patterns with a time resolution of 1.3 s. Notably, the device does not exhibit saturation under high humidity conditions, suggesting the robustness and enormous potential of optical fiber-based humidity sensors for long-term breath humidity monitoring, early detection of abnormal breath patterns, and deployment in next-generation healthcare monitoring.

Identifiers

PMID41048744
PMCPMC12489730

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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.