Design of sample display system on electronic nose for synthetic flavor classification Article Swipe
Barokah Barokah
,
Radi Radi
,
Luthfi Fadillah Zamzami
,
Andi Setiawan
,
Joko Purwo Leksono Yuroto Putro
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.11591/ijeecs.v30.i2.pp690-698
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.11591/ijeecs.v30.i2.pp690-698
This study aimed to design a controlled sample display system on an electronic nose and test its performance for classifying synthetic flavors. There are four primary components to the electronic nose design. They are a controlled sample display system, detector, signal conditioning and preprocessing, and pattern recognition software. The sample display system consists of six vials. The sample room temperature setpoint is set to 40 ℃. The controlled sample display system has one heater and two fans to even the room temperature. The one-time data collection process consists of flushing (120 s), collecting (180 s), and purging (180 s). The samples for the performance test were synthetic flavors with four different aromas; durian, mocca, orange, and strawberry. Data analysis of gas sensor response was done through two stages; pre-treatment data processing and principal component analysis (PCA). The four samples were clearly different from others, according to the PCA results. The scores of the PC-1, PC-2, and PC-3 cumulative variance were 98.28%.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.11591/ijeecs.v30.i2.pp690-698
- https://ijeecs.iaescore.com/index.php/IJEECS/article/download/28943/17253
- OA Status
- diamond
- Cited By
- 2
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4321269727
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4321269727Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.11591/ijeecs.v30.i2.pp690-698Digital Object Identifier
- Title
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Design of sample display system on electronic nose for synthetic flavor classificationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-18Full publication date if available
- Authors
-
Barokah Barokah, Radi Radi, Luthfi Fadillah Zamzami, Andi Setiawan, Joko Purwo Leksono Yuroto PutroList of authors in order
- Landing page
-
https://doi.org/10.11591/ijeecs.v30.i2.pp690-698Publisher landing page
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-
https://ijeecs.iaescore.com/index.php/IJEECS/article/download/28943/17253Direct link to full text PDF
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-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://ijeecs.iaescore.com/index.php/IJEECS/article/download/28943/17253Direct OA link when available
- Concepts
-
Electronic nose, Principal component analysis, Sample (material), Preprocessor, Artificial intelligence, Pattern recognition (psychology), Computer science, Chemistry, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.aimed | 2 |
| abstract_inverted_index.study | 1 |
| abstract_inverted_index.(PCA). | 135 |
| abstract_inverted_index.design | 4 |
| abstract_inverted_index.heater | 73 |
| abstract_inverted_index.mocca, | 113 |
| abstract_inverted_index.sample | 7, 36, 49, 57, 68 |
| abstract_inverted_index.scores | 150 |
| abstract_inverted_index.sensor | 121 |
| abstract_inverted_index.signal | 40 |
| abstract_inverted_index.system | 9, 51, 70 |
| abstract_inverted_index.vials. | 55 |
| abstract_inverted_index.98.28%. | 160 |
| abstract_inverted_index.aromas; | 111 |
| abstract_inverted_index.clearly | 140 |
| abstract_inverted_index.design. | 31 |
| abstract_inverted_index.display | 8, 37, 50, 69 |
| abstract_inverted_index.durian, | 112 |
| abstract_inverted_index.flavors | 107 |
| abstract_inverted_index.orange, | 114 |
| abstract_inverted_index.others, | 143 |
| abstract_inverted_index.pattern | 45 |
| abstract_inverted_index.primary | 25 |
| abstract_inverted_index.process | 86 |
| abstract_inverted_index.purging | 96 |
| abstract_inverted_index.samples | 100, 138 |
| abstract_inverted_index.stages; | 127 |
| abstract_inverted_index.system, | 38 |
| abstract_inverted_index.through | 125 |
| abstract_inverted_index.analysis | 118, 134 |
| abstract_inverted_index.consists | 52, 87 |
| abstract_inverted_index.flavors. | 21 |
| abstract_inverted_index.flushing | 89 |
| abstract_inverted_index.one-time | 83 |
| abstract_inverted_index.response | 122 |
| abstract_inverted_index.results. | 148 |
| abstract_inverted_index.setpoint | 60 |
| abstract_inverted_index.variance | 158 |
| abstract_inverted_index.according | 144 |
| abstract_inverted_index.component | 133 |
| abstract_inverted_index.detector, | 39 |
| abstract_inverted_index.different | 110, 141 |
| abstract_inverted_index.principal | 132 |
| abstract_inverted_index.software. | 47 |
| abstract_inverted_index.synthetic | 20, 106 |
| abstract_inverted_index.collecting | 92 |
| abstract_inverted_index.collection | 85 |
| abstract_inverted_index.components | 26 |
| abstract_inverted_index.controlled | 6, 35, 67 |
| abstract_inverted_index.cumulative | 157 |
| abstract_inverted_index.electronic | 12, 29 |
| abstract_inverted_index.processing | 130 |
| abstract_inverted_index.classifying | 19 |
| abstract_inverted_index.performance | 17, 103 |
| abstract_inverted_index.recognition | 46 |
| abstract_inverted_index.strawberry. | 116 |
| abstract_inverted_index.temperature | 59 |
| abstract_inverted_index.conditioning | 41 |
| abstract_inverted_index.temperature. | 81 |
| abstract_inverted_index.pre-treatment | 128 |
| abstract_inverted_index.preprocessing, | 43 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.48355516 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |