Evidence map›Paper›PMID 40388541›Full record

ArticleACS sensors2025

Synergistic Integration of Laser Oxidation and Long Short-Term Memory for Advanced Odor Classification in Next-Generation Artificial Olfactory Systems.

Hyeokjin Kwon, Jiho Park, Hyun Woo Jang, Hyeongtae Lim, Sohee Kim, Samhwan Kim, Jae Eun Jang, Hyuk-Jun Kwon, Ji-Woong Choi

Abstract read
In one paragraph

Article in ACS sensors, 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

9 authors.

Hyeokjin KwonDepartment of Electrical Engineering and Computer Science, DGIST, Daegu 42988, Republic of Korea.
Jiho ParkDepartment of Electrical Engineering and Computer Science, DGIST, Daegu 42988, Republic of Korea.
Hyun Woo JangDepartment of Electrical Engineering and Computer Science, DGIST, Daegu 42988, Republic of Korea.
Hyeongtae LimDepartment of Electrical Engineering and Computer Science, DGIST, Daegu 42988, Republic of Korea.ORCID 0000-0001-6417-3312
Sohee KimSamsung Electronics Ltd., Hwaseong 18448, Republic of Korea.
Samhwan KimDepartment of Electrical Engineering and Computer Science, DGIST, Daegu 42988, Republic of Korea.
Jae Eun JangDepartment of Electrical Engineering and Computer Science, DGIST, Daegu 42988, Republic of Korea.ORCID 0000-0002-8523-1785
Hyuk-Jun KwonDepartment of Electrical Engineering and Computer Science, DGIST, Daegu 42988, Republic of Korea.ORCID 0000-0002-4767-7444
Ji-Woong ChoiDepartment of Electrical Engineering and Computer Science, DGIST, Daegu 42988, Republic of Korea.ORCID 0000-0001-9109-3860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emulating and enhancing human olfactory capabilities, artificial olfactory technology provides adept detection of subtle odors, gases, and various chemical substances. Metal oxide semiconductors (MOSs) are ideal materials for next-generation artificial olfactory devices due to their outstanding gas sensing performance, characterized high sensitivity, high response speed, and robust stability, as well as their compatibility with microfabrication. For broader applications, developing a comprehensive database of diverse odorants is crucial, which necessitates expanding the types of MOS channels in artificial olfactory devices. This paper reports a laser-induced oxidation-based artificial olfactory device using a 7 × 3 sensor array composed of three metal oxides (SnO

Indexed as

Electronic NoseLasersOdorantsSmellHumansLong Short Term MemoryNeural Networks, ComputerOxidation-ReductionOxidesWineOxidesartificial olfactiondeep neural networklaser-induced oxidationmetal oxidesodorant classificationwines

Identifiers

PMID40388541
PMCPMC12379165

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.