ArticleBiomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference)2019
An Optimized E-nose for Efficient Volatile Sensing and Discrimination.
Article in Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed.
- Intelligent Grading of Green Cardamom Using Data Fusion of Electronic Nose and Computer Vision Methods.Food science & nutrition · 2025Article
- Impact of the Cationic Moiety of Ionic Liquids on Chemoselective Artificial Olfaction.ACS materials Au · 2023Article
- Effect of Polymer Hydrophobicity in the Performance of Hybrid Gel Gas Sensors for E-Noses.Sensors (Basel, Switzerland) · 2023Article
- Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review.Biomaterials research · 2022Review
- Synergy between silk fibroin and ionic liquids for active gas-sensing materials.Materials today. Bio · 2022Article
- Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes.ACS applied materials & interfaces · 2022Article
- Tackling Humidity with Designer Ionic Liquid-Based Gas Sensing Soft Materials.Advanced materials (Deerfield Beach, Fla.) · 2022Article
- Fish Gelatin-based Films for Gas Sensing.Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference) · 2021Article
- Sustainable plant polyesters as substrates for optical gas sensors.Materials today. Bio · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electronic noses (E-noses), are usually composed by an array of sensors with different selectivities towards classes of VOCs (Volatile Organic Compounds). These devices have been applied to a variety of fields, including environmental protection, public safety, food and beverage industries, cosmetics, and clinical diagnostics. This work demonstrates that it is possible to classify eleven VOCs from different chemical classes using a single gas sensing biomaterial that changes its optical properties in the presence of VOCs. To accomplish this, an in-house built E-nose, tailor-made for the novel class of gas sensing biomaterials, was improved and combined with powerful machine learning techniques. The device comprises a delivery system, a detection system and a data acquisition and control system. It was designed to be stable, miniaturized and easy-to-handle. The data collected was pre-processed and features and curve fitting parameters were extracted from the original response. A recursive feature selection method was applied to select the best features, and then a Support Vector Machine classifier was implemented to distinguish the eleven distinct VOCs. The results show that the followed methodology allowed the classification of all the VOCs tested with 94.6% (± 0.9%) accuracy.
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Registered trials
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.