Evidence map›Paper›PMID 40122896›Full record

ArticleMicrosystems & nanoengineering2025

Investigation towards nanomechanical sensor array for real-time detection of complex gases.

Md Abdul Momin, Masaya Toda, Zhuqing Wang, Mai Yamazaki, Krzysztof Moorthi, Yasuaki Kawaguchi, Takahito Ono

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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. Article
  3. 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

7 authors.

Md Abdul MominGraduate School of Engineering, Tohoku University, 6-6-01 Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579, Japan. mdm201@pitt.edu.
Masaya TodaGraduate School of Engineering, Tohoku University, 6-6-01 Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579, Japan. toda@tohoku.ac.jp.
Zhuqing WangGraduate School of Engineering, Tohoku University, 6-6-01 Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579, Japan.ORCID http://orcid.org/0000-0002-7513-5773
Mai YamazakiR&D Center, Mitsui Chemicals, Inc., 580-32 Nagaura, Sodegaura, Chiba, 299-0265, Japan.
Krzysztof MoorthiR&D Center, Mitsui Chemicals, Inc., 580-32 Nagaura, Sodegaura, Chiba, 299-0265, Japan.
Yasuaki KawaguchiR&D Center, Mitsui Chemicals, Inc., 580-32 Nagaura, Sodegaura, Chiba, 299-0265, Japan.
Takahito OnoGraduate School of Engineering, Tohoku University, 6-6-01 Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579, Japan. takahito.ono.d4@tohoku.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents the development and characterization of a nanomechanical gas sensor array with piezoresistive detectors for a wide range of applications. The sensors, made of silicon and polymers and integrated with the piezoresistive sensors on a silicon-on-insulator wafer, convert to electrical signals the stress caused by volume change of polymer induced by gas absorption. The fabrication of the sensors incorporates a process where Polymer A (Polyolefin), Polymer B (Fluorocarbon polymer) Polymer C (Acrylic resin), and Polymer D (Amino polymer), are deposited within silicon slits, demonstrating their distinct responses to various vapor species. These sensors show swift response times and efficient recovery periods, which makes them promising for real-time multiple gas and smell monitoring applications. An array of four nanomechanical sensors with polymers shows high repeatability and sensitivity when subjected to multiple gas exposure and turn-off cycles. The gas sensor arrays, effectively monitoring fish quality over several days, suggest a potential for determining optimal storage and early spoilage detection in perishables. The study demonstrates that the nanomechanical sensor array can accurately distinguish between different gas concentrations using principal component analysis, paving the way for real-time, automated multiple gas detection and analysis without human intervention.

Identifiers

PMID40122896
PMCPMC11930958

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Registered trials

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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.