Research on the Influence of Core Sensing Components on the Performance of Galvanic Dissolved Oxygen Sensors Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/s24134155
The galvanic dissolved oxygen sensor finds widespread applications in multiple critical fields due to its high precision and excellent stability. As its core sensing components, the oxygen-permeable membrane, electrode, and electrolyte significantly impact the sensor’s performance. To systematically investigate the comprehensive effects of these core sensing components on the performance of galvanic dissolved oxygen sensors, this study selected six types of oxygen-permeable membranes made from two materials (Perfluoroalkoxy Polymer (PFA) and Fluorinated Ethylene Propylene Copolymer (FEP)) with three thicknesses (0.015 mm, 0.03 mm, and 0.05 mm). Additionally, five concentrations of KCl electrolyte were configured, and four different proportions of lead–tin alloy electrodes were chosen. Single-factor and crossover experiments were conducted using the OxyGuard dissolved oxygen sensor as the experimental platform. The experimental results indicate that under the same membrane thickness conditions, PFA membranes provide a higher output voltage compared to FEP membranes. Moreover, the oxygen permeability of FEP membranes is more significantly affected by temperature. Furthermore, the oxygen permeability of the membrane is inversely proportional to its thickness; the thinner the membrane, the better the oxygen permeability, resulting in a corresponding increase in sensor output voltage. When the membrane thickness is reduced from 0.05 mm to 0.015 mm, the sensor output voltage for PFA and FEP membranes increases by 86% and 74.91%, respectively. However, this study also observed that excessively thin membranes might compromise measurement accuracy. In a saturated, dissolved oxygen environment, the sensor output voltage corresponding to the six oxygen-permeable membranes used in the experiment exhibits a highly linear inverse relationship with temperature (correlation coefficient ≥ 98%). Meanwhile, the lead–tin ratio of the electrode and electrolyte concentration have a relatively minor impact on the sensor output voltage, demonstrating good stability at different temperatures (coefficient of variation ≤ 0.78%). In terms of response time, it is directly proportional to the thickness of the oxygen-permeable membrane, especially for PFA membranes. When the thickness increases from 0.015 mm to 0.05 mm, the response time extends by up to 2033.33%. In contrast, the electrode material and electrolyte concentration have a less significant effect on response time. To further validate the practical value of the experimental results, the best-performing combination of core sensing components from the experiments was selected to construct a new dissolved oxygen sensor. A performance comparison test was conducted between this new sensor and the OxyGuard dissolved oxygen sensor. The results showed that both sensors had the same response time (49 s). However, in an anaerobic environment, the OxyGuard sensor demonstrated slightly higher accuracy by 2.44%. This study not only provides a deep analysis of the combined effects of oxygen-permeable membranes, electrodes, and electrolytes on the performance of galvanic dissolved oxygen sensors but also offers scientific evidence and practical guidance for optimizing sensor design.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s24134155
- https://www.mdpi.com/1424-8220/24/13/4155/pdf?version=1719405724
- OA Status
- gold
- Cited By
- 2
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400041964
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4400041964Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s24134155Digital Object Identifier
- Title
-
Research on the Influence of Core Sensing Components on the Performance of Galvanic Dissolved Oxygen SensorsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-26Full publication date if available
- Authors
-
helai Liu, Lingfeng Zhang, Ye Wu, Weimin Ding, Yutao Liu, Sanqin Zhao, Jiabing GuList of authors in order
- Landing page
-
https://doi.org/10.3390/s24134155Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/24/13/4155/pdf?version=1719405724Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/24/13/4155/pdf?version=1719405724Direct OA link when available
- Concepts
-
Membrane, Oxygen permeability, Oxygen sensor, Electrolyte, Oxygen, Galvanic cell, Materials science, Chemical engineering, Electrode, Permeability (electromagnetism), Analytical Chemistry (journal), Chemistry, Chromatography, Organic chemistry, Metallurgy, Engineering, Physical chemistry, BiochemistryTop 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)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4400041964 |
|---|---|
| doi | https://doi.org/10.3390/s24134155 |
| ids.doi | https://doi.org/10.3390/s24134155 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39000933 |
| ids.openalex | https://openalex.org/W4400041964 |
| fwci | 0.94241182 |
| type | article |
| title | Research on the Influence of Core Sensing Components on the Performance of Galvanic Dissolved Oxygen Sensors |
| awards[0].id | https://openalex.org/G7128234258 |
| awards[0].funder_id | https://openalex.org/F4320322795 |
| awards[0].display_name | |
| awards[0].funder_award_id | 2019YFC1906104 |
| awards[0].funder_display_name | Ministry of Science and Technology, Taiwan |
| biblio.issue | 13 |
| biblio.volume | 24 |
| biblio.last_page | 4155 |
| biblio.first_page | 4155 |
| topics[0].id | https://openalex.org/T11472 |
| topics[0].field.id | https://openalex.org/fields/15 |
| topics[0].field.display_name | Chemical Engineering |
| topics[0].score | 0.9998000264167786 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1502 |
| topics[0].subfield.display_name | Bioengineering |
| topics[0].display_name | Analytical Chemistry and Sensors |
| topics[1].id | https://openalex.org/T10409 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9987999796867371 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2208 |
| topics[1].subfield.display_name | Electrical and Electronic Engineering |
| topics[1].display_name | Fuel Cells and Related Materials |
| topics[2].id | https://openalex.org/T10338 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9955999851226807 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2204 |
| topics[2].subfield.display_name | Biomedical Engineering |
| topics[2].display_name | Advanced Sensor and Energy Harvesting Materials |
| funders[0].id | https://openalex.org/F4320322795 |
| funders[0].ror | https://ror.org/02kv4zf79 |
| funders[0].display_name | Ministry of Science and Technology, Taiwan |
| is_xpac | False |
| apc_list.value | 2400 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2598 |
| apc_paid.value | 2400 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2598 |
| concepts[0].id | https://openalex.org/C41625074 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8593152761459351 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q176088 |
| concepts[0].display_name | Membrane |
| concepts[1].id | https://openalex.org/C2776863617 |
| concepts[1].level | 3 |
| concepts[1].score | 0.8453644514083862 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q7115956 |
| concepts[1].display_name | Oxygen permeability |
| concepts[2].id | https://openalex.org/C17734536 |
| concepts[2].level | 3 |
| concepts[2].score | 0.8065308332443237 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q286588 |
| concepts[2].display_name | Oxygen sensor |
| concepts[3].id | https://openalex.org/C68801617 |
| concepts[3].level | 3 |
| concepts[3].score | 0.7623492479324341 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q162908 |
| concepts[3].display_name | Electrolyte |
| concepts[4].id | https://openalex.org/C540031477 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6551108956336975 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q629 |
| concepts[4].display_name | Oxygen |
| concepts[5].id | https://openalex.org/C29633239 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5734491348266602 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q209440 |
| concepts[5].display_name | Galvanic cell |
| concepts[6].id | https://openalex.org/C192562407 |
| concepts[6].level | 0 |
| concepts[6].score | 0.5574181079864502 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q228736 |
| concepts[6].display_name | Materials science |
| concepts[7].id | https://openalex.org/C42360764 |
| concepts[7].level | 1 |
| concepts[7].score | 0.49691417813301086 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q83588 |
| concepts[7].display_name | Chemical engineering |
| concepts[8].id | https://openalex.org/C17525397 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4226458966732025 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q176140 |
| concepts[8].display_name | Electrode |
| concepts[9].id | https://openalex.org/C120882062 |
| concepts[9].level | 3 |
| concepts[9].score | 0.4147205948829651 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q28352 |
| concepts[9].display_name | Permeability (electromagnetism) |
| concepts[10].id | https://openalex.org/C113196181 |
| concepts[10].level | 2 |
| concepts[10].score | 0.3964056074619293 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q485223 |
| concepts[10].display_name | Analytical Chemistry (journal) |
| concepts[11].id | https://openalex.org/C185592680 |
| concepts[11].level | 0 |
| concepts[11].score | 0.352647989988327 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[11].display_name | Chemistry |
| concepts[12].id | https://openalex.org/C43617362 |
| concepts[12].level | 1 |
| concepts[12].score | 0.21309271454811096 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q170050 |
| concepts[12].display_name | Chromatography |
| concepts[13].id | https://openalex.org/C178790620 |
| concepts[13].level | 1 |
| concepts[13].score | 0.06127607822418213 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11351 |
| concepts[13].display_name | Organic chemistry |
| concepts[14].id | https://openalex.org/C191897082 |
| concepts[14].level | 1 |
| concepts[14].score | 0.060642123222351074 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11467 |
| concepts[14].display_name | Metallurgy |
| concepts[15].id | https://openalex.org/C127413603 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[15].display_name | Engineering |
| concepts[16].id | https://openalex.org/C147789679 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q11372 |
| concepts[16].display_name | Physical chemistry |
| concepts[17].id | https://openalex.org/C55493867 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q7094 |
| concepts[17].display_name | Biochemistry |
| keywords[0].id | https://openalex.org/keywords/membrane |
| keywords[0].score | 0.8593152761459351 |
| keywords[0].display_name | Membrane |
| keywords[1].id | https://openalex.org/keywords/oxygen-permeability |
| keywords[1].score | 0.8453644514083862 |
| keywords[1].display_name | Oxygen permeability |
| keywords[2].id | https://openalex.org/keywords/oxygen-sensor |
| keywords[2].score | 0.8065308332443237 |
| keywords[2].display_name | Oxygen sensor |
| keywords[3].id | https://openalex.org/keywords/electrolyte |
| keywords[3].score | 0.7623492479324341 |
| keywords[3].display_name | Electrolyte |
| keywords[4].id | https://openalex.org/keywords/oxygen |
| keywords[4].score | 0.6551108956336975 |
| keywords[4].display_name | Oxygen |
| keywords[5].id | https://openalex.org/keywords/galvanic-cell |
| keywords[5].score | 0.5734491348266602 |
| keywords[5].display_name | Galvanic cell |
| keywords[6].id | https://openalex.org/keywords/materials-science |
| keywords[6].score | 0.5574181079864502 |
| keywords[6].display_name | Materials science |
| keywords[7].id | https://openalex.org/keywords/chemical-engineering |
| keywords[7].score | 0.49691417813301086 |
| keywords[7].display_name | Chemical engineering |
| keywords[8].id | https://openalex.org/keywords/electrode |
| keywords[8].score | 0.4226458966732025 |
| keywords[8].display_name | Electrode |
| keywords[9].id | https://openalex.org/keywords/permeability |
| keywords[9].score | 0.4147205948829651 |
| keywords[9].display_name | Permeability (electromagnetism) |
| keywords[10].id | https://openalex.org/keywords/analytical-chemistry |
| keywords[10].score | 0.3964056074619293 |
| keywords[10].display_name | Analytical Chemistry (journal) |
| keywords[11].id | https://openalex.org/keywords/chemistry |
| keywords[11].score | 0.352647989988327 |
| keywords[11].display_name | Chemistry |
| keywords[12].id | https://openalex.org/keywords/chromatography |
| keywords[12].score | 0.21309271454811096 |
| keywords[12].display_name | Chromatography |
| keywords[13].id | https://openalex.org/keywords/organic-chemistry |
| keywords[13].score | 0.06127607822418213 |
| keywords[13].display_name | Organic chemistry |
| keywords[14].id | https://openalex.org/keywords/metallurgy |
| keywords[14].score | 0.060642123222351074 |
| keywords[14].display_name | Metallurgy |
| language | en |
| locations[0].id | doi:10.3390/s24134155 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S101949793 |
| locations[0].source.issn | 1424-8220 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1424-8220 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Sensors |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/1424-8220/24/13/4155/pdf?version=1719405724 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Sensors |
| locations[0].landing_page_url | https://doi.org/10.3390/s24134155 |
| locations[1].id | pmid:39000933 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Sensors (Basel, Switzerland) |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39000933 |
| locations[2].id | pmh:oai:doaj.org/article:45eb2d00f94b47c49099f0d6e51dd6b1 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Sensors, Vol 24, Iss 13, p 4155 (2024) |
| locations[2].landing_page_url | https://doaj.org/article/45eb2d00f94b47c49099f0d6e51dd6b1 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:11243800 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Sensors (Basel) |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11243800 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5086482266 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | helai Liu |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I119454577 |
| authorships[0].affiliations[0].raw_affiliation_string | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[0].institutions[0].id | https://openalex.org/I119454577 |
| authorships[0].institutions[0].ror | https://ror.org/05td3s095 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I119454577 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Nanjing Agricultural University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Helai Liu |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[1].author.id | https://openalex.org/A5051383635 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-4491-1554 |
| authorships[1].author.display_name | Lingfeng Zhang |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I119454577 |
| authorships[1].affiliations[0].raw_affiliation_string | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[1].institutions[0].id | https://openalex.org/I119454577 |
| authorships[1].institutions[0].ror | https://ror.org/05td3s095 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I119454577 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Nanjing Agricultural University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Lingfeng Zhang |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[2].author.id | https://openalex.org/A5051251491 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-9928-1177 |
| authorships[2].author.display_name | Ye Wu |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I119454577 |
| authorships[2].affiliations[0].raw_affiliation_string | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[2].institutions[0].id | https://openalex.org/I119454577 |
| authorships[2].institutions[0].ror | https://ror.org/05td3s095 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I119454577 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Nanjing Agricultural University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Ye Wu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[3].author.id | https://openalex.org/A5102713297 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-7447-3615 |
| authorships[3].author.display_name | Weimin Ding |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I119454577 |
| authorships[3].affiliations[0].raw_affiliation_string | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[3].institutions[0].id | https://openalex.org/I119454577 |
| authorships[3].institutions[0].ror | https://ror.org/05td3s095 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I119454577 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Nanjing Agricultural University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Weimin Ding |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[4].author.id | https://openalex.org/A5100422847 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-3589-4492 |
| authorships[4].author.display_name | Yutao Liu |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I119454577 |
| authorships[4].affiliations[0].raw_affiliation_string | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[4].institutions[0].id | https://openalex.org/I119454577 |
| authorships[4].institutions[0].ror | https://ror.org/05td3s095 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I119454577 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Nanjing Agricultural University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Yutao Liu |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[5].author.id | https://openalex.org/A5073312355 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Sanqin Zhao |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I119454577 |
| authorships[5].affiliations[0].raw_affiliation_string | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[5].institutions[0].id | https://openalex.org/I119454577 |
| authorships[5].institutions[0].ror | https://ror.org/05td3s095 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I119454577 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Nanjing Agricultural University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Sanqin Zhao |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[6].author.id | https://openalex.org/A5105421184 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Jiabing Gu |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I119454577 |
| authorships[6].affiliations[0].raw_affiliation_string | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| authorships[6].institutions[0].id | https://openalex.org/I119454577 |
| authorships[6].institutions[0].ror | https://ror.org/05td3s095 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I119454577 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | Nanjing Agricultural University |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Jiabing Gu |
| authorships[6].is_corresponding | True |
| authorships[6].raw_affiliation_strings | College of Engineering, Nanjing Agricultural University, Nanjing 210031, China |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/1424-8220/24/13/4155/pdf?version=1719405724 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Research on the Influence of Core Sensing Components on the Performance of Galvanic Dissolved Oxygen Sensors |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T11472 |
| primary_topic.field.id | https://openalex.org/fields/15 |
| primary_topic.field.display_name | Chemical Engineering |
| primary_topic.score | 0.9998000264167786 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1502 |
| primary_topic.subfield.display_name | Bioengineering |
| primary_topic.display_name | Analytical Chemistry and Sensors |
| related_works | https://openalex.org/W4388250542, https://openalex.org/W2954622210, https://openalex.org/W2112884276, https://openalex.org/W2001138005, https://openalex.org/W2058182458, https://openalex.org/W2051721765, https://openalex.org/W2077853595, https://openalex.org/W4400041964, https://openalex.org/W2075967124, https://openalex.org/W1989938082 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.3390/s24134155 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S101949793 |
| best_oa_location.source.issn | 1424-8220 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1424-8220 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Sensors |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/1424-8220/24/13/4155/pdf?version=1719405724 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Sensors |
| best_oa_location.landing_page_url | https://doi.org/10.3390/s24134155 |
| primary_location.id | doi:10.3390/s24134155 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S101949793 |
| primary_location.source.issn | 1424-8220 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1424-8220 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Sensors |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/1424-8220/24/13/4155/pdf?version=1719405724 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Sensors |
| primary_location.landing_page_url | https://doi.org/10.3390/s24134155 |
| publication_date | 2024-06-26 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4391656381, https://openalex.org/W6861878056, https://openalex.org/W4393999657, https://openalex.org/W4394859522, https://openalex.org/W4399052752, https://openalex.org/W3128014370, https://openalex.org/W3084784575, https://openalex.org/W3166778274, https://openalex.org/W2408999434, https://openalex.org/W3165024382, https://openalex.org/W3031334260, https://openalex.org/W2990986495, https://openalex.org/W2947079037, https://openalex.org/W2336095815, https://openalex.org/W2974842034, https://openalex.org/W1968949099, https://openalex.org/W3012522216, https://openalex.org/W4307289638, https://openalex.org/W3199759882, https://openalex.org/W4200171720, https://openalex.org/W3111759950, https://openalex.org/W2030775269, https://openalex.org/W2331755021, https://openalex.org/W2548033008, https://openalex.org/W3199537468, https://openalex.org/W2098378227, https://openalex.org/W2565235147, https://openalex.org/W2064020488, https://openalex.org/W2167041539, https://openalex.org/W1985542602, https://openalex.org/W3013589731, https://openalex.org/W2034824397, https://openalex.org/W2001950082, https://openalex.org/W2095853260, https://openalex.org/W1965577989, https://openalex.org/W2882061154, https://openalex.org/W2034614701, https://openalex.org/W2280308524, https://openalex.org/W1545237276, https://openalex.org/W4322503656, https://openalex.org/W1998427652, https://openalex.org/W4391977746, https://openalex.org/W4241405175 |
| referenced_works_count | 43 |
| abstract_inverted_index.A | 372 |
| abstract_inverted_index.a | 134, 179, 227, 247, 269, 336, 367, 420 |
| abstract_inverted_index.As | 20 |
| abstract_inverted_index.In | 226, 289, 327 |
| abstract_inverted_index.To | 36, 343 |
| abstract_inverted_index.an | 403 |
| abstract_inverted_index.as | 116 |
| abstract_inverted_index.at | 281 |
| abstract_inverted_index.by | 153, 208, 323, 413 |
| abstract_inverted_index.in | 8, 178, 182, 243, 402 |
| abstract_inverted_index.is | 149, 162, 190, 295 |
| abstract_inverted_index.it | 294 |
| abstract_inverted_index.mm | 194, 315 |
| abstract_inverted_index.of | 42, 50, 60, 89, 98, 146, 159, 262, 285, 291, 301, 349, 356, 423, 427, 436 |
| abstract_inverted_index.on | 47, 273, 340, 433 |
| abstract_inverted_index.to | 13, 139, 165, 195, 237, 298, 316, 325, 365 |
| abstract_inverted_index.up | 324 |
| abstract_inverted_index.(49 | 399 |
| abstract_inverted_index.86% | 209 |
| abstract_inverted_index.FEP | 140, 147, 205 |
| abstract_inverted_index.KCl | 90 |
| abstract_inverted_index.PFA | 131, 203, 307 |
| abstract_inverted_index.The | 0, 120, 388 |
| abstract_inverted_index.and | 17, 29, 70, 83, 94, 105, 204, 210, 265, 332, 382, 431, 446 |
| abstract_inverted_index.but | 441 |
| abstract_inverted_index.due | 12 |
| abstract_inverted_index.for | 202, 306, 449 |
| abstract_inverted_index.had | 394 |
| abstract_inverted_index.its | 14, 21, 166 |
| abstract_inverted_index.mm, | 80, 82, 197, 318 |
| abstract_inverted_index.new | 368, 380 |
| abstract_inverted_index.not | 417 |
| abstract_inverted_index.s). | 400 |
| abstract_inverted_index.six | 58, 239 |
| abstract_inverted_index.the | 25, 33, 39, 48, 111, 117, 126, 143, 156, 160, 168, 170, 172, 174, 187, 198, 232, 238, 244, 259, 263, 274, 299, 302, 310, 319, 329, 346, 350, 353, 361, 383, 395, 406, 424, 434 |
| abstract_inverted_index.two | 65 |
| abstract_inverted_index.was | 363, 376 |
| abstract_inverted_index.≤ | 287 |
| abstract_inverted_index.≥ | 256 |
| abstract_inverted_index.0.03 | 81 |
| abstract_inverted_index.0.05 | 84, 193, 317 |
| abstract_inverted_index.This | 415 |
| abstract_inverted_index.When | 186, 309 |
| abstract_inverted_index.also | 216, 442 |
| abstract_inverted_index.both | 392 |
| abstract_inverted_index.core | 22, 44, 357 |
| abstract_inverted_index.deep | 421 |
| abstract_inverted_index.five | 87 |
| abstract_inverted_index.four | 95 |
| abstract_inverted_index.from | 64, 192, 313, 360 |
| abstract_inverted_index.good | 279 |
| abstract_inverted_index.have | 268, 335 |
| abstract_inverted_index.high | 15 |
| abstract_inverted_index.less | 337 |
| abstract_inverted_index.made | 63 |
| abstract_inverted_index.mm). | 85 |
| abstract_inverted_index.more | 150 |
| abstract_inverted_index.only | 418 |
| abstract_inverted_index.same | 127, 396 |
| abstract_inverted_index.test | 375 |
| abstract_inverted_index.that | 124, 218, 391 |
| abstract_inverted_index.thin | 220 |
| abstract_inverted_index.this | 55, 214, 379 |
| abstract_inverted_index.time | 321, 398 |
| abstract_inverted_index.used | 242 |
| abstract_inverted_index.were | 92, 102, 108 |
| abstract_inverted_index.with | 76, 252 |
| abstract_inverted_index.(PFA) | 69 |
| abstract_inverted_index.0.015 | 196, 314 |
| abstract_inverted_index.98%). | 257 |
| abstract_inverted_index.alloy | 100 |
| abstract_inverted_index.finds | 5 |
| abstract_inverted_index.might | 222 |
| abstract_inverted_index.minor | 271 |
| abstract_inverted_index.ratio | 261 |
| abstract_inverted_index.study | 56, 215, 416 |
| abstract_inverted_index.terms | 290 |
| abstract_inverted_index.these | 43 |
| abstract_inverted_index.three | 77 |
| abstract_inverted_index.time, | 293 |
| abstract_inverted_index.time. | 342 |
| abstract_inverted_index.types | 59 |
| abstract_inverted_index.under | 125 |
| abstract_inverted_index.using | 110 |
| abstract_inverted_index.value | 348 |
| abstract_inverted_index.(0.015 | 79 |
| abstract_inverted_index.(FEP)) | 75 |
| abstract_inverted_index.2.44%. | 414 |
| abstract_inverted_index.better | 173 |
| abstract_inverted_index.effect | 339 |
| abstract_inverted_index.fields | 11 |
| abstract_inverted_index.higher | 135, 411 |
| abstract_inverted_index.highly | 248 |
| abstract_inverted_index.impact | 32, 272 |
| abstract_inverted_index.linear | 249 |
| abstract_inverted_index.offers | 443 |
| abstract_inverted_index.output | 136, 184, 200, 234, 276 |
| abstract_inverted_index.oxygen | 3, 53, 114, 144, 157, 175, 230, 370, 386, 439 |
| abstract_inverted_index.sensor | 4, 115, 183, 199, 233, 275, 381, 408, 451 |
| abstract_inverted_index.showed | 390 |
| abstract_inverted_index.0.78%). | 288 |
| abstract_inverted_index.74.91%, | 211 |
| abstract_inverted_index.Polymer | 68 |
| abstract_inverted_index.between | 378 |
| abstract_inverted_index.chosen. | 103 |
| abstract_inverted_index.design. | 452 |
| abstract_inverted_index.effects | 41, 426 |
| abstract_inverted_index.extends | 322 |
| abstract_inverted_index.further | 344 |
| abstract_inverted_index.inverse | 250 |
| abstract_inverted_index.provide | 133 |
| abstract_inverted_index.reduced | 191 |
| abstract_inverted_index.results | 122, 389 |
| abstract_inverted_index.sensing | 23, 45, 358 |
| abstract_inverted_index.sensor. | 371, 387 |
| abstract_inverted_index.sensors | 393, 440 |
| abstract_inverted_index.thinner | 169 |
| abstract_inverted_index.voltage | 137, 201, 235 |
| abstract_inverted_index.Ethylene | 72 |
| abstract_inverted_index.However, | 213, 401 |
| abstract_inverted_index.OxyGuard | 112, 384, 407 |
| abstract_inverted_index.accuracy | 412 |
| abstract_inverted_index.affected | 152 |
| abstract_inverted_index.analysis | 422 |
| abstract_inverted_index.combined | 425 |
| abstract_inverted_index.compared | 138 |
| abstract_inverted_index.critical | 10 |
| abstract_inverted_index.directly | 296 |
| abstract_inverted_index.evidence | 445 |
| abstract_inverted_index.exhibits | 246 |
| abstract_inverted_index.galvanic | 1, 51, 437 |
| abstract_inverted_index.guidance | 448 |
| abstract_inverted_index.increase | 181 |
| abstract_inverted_index.indicate | 123 |
| abstract_inverted_index.material | 331 |
| abstract_inverted_index.membrane | 128, 161, 188 |
| abstract_inverted_index.multiple | 9 |
| abstract_inverted_index.observed | 217 |
| abstract_inverted_index.provides | 419 |
| abstract_inverted_index.response | 292, 320, 341, 397 |
| abstract_inverted_index.results, | 352 |
| abstract_inverted_index.selected | 57, 364 |
| abstract_inverted_index.sensors, | 54 |
| abstract_inverted_index.slightly | 410 |
| abstract_inverted_index.validate | 345 |
| abstract_inverted_index.voltage, | 277 |
| abstract_inverted_index.voltage. | 185 |
| abstract_inverted_index.2033.33%. | 326 |
| abstract_inverted_index.Copolymer | 74 |
| abstract_inverted_index.Moreover, | 142 |
| abstract_inverted_index.Propylene | 73 |
| abstract_inverted_index.accuracy. | 225 |
| abstract_inverted_index.anaerobic | 404 |
| abstract_inverted_index.conducted | 109, 377 |
| abstract_inverted_index.construct | 366 |
| abstract_inverted_index.contrast, | 328 |
| abstract_inverted_index.crossover | 106 |
| abstract_inverted_index.different | 96, 282 |
| abstract_inverted_index.dissolved | 2, 52, 113, 229, 369, 385, 438 |
| abstract_inverted_index.electrode | 264, 330 |
| abstract_inverted_index.excellent | 18 |
| abstract_inverted_index.increases | 207, 312 |
| abstract_inverted_index.inversely | 163 |
| abstract_inverted_index.materials | 66 |
| abstract_inverted_index.membrane, | 27, 171, 304 |
| abstract_inverted_index.membranes | 62, 132, 148, 206, 221, 241 |
| abstract_inverted_index.platform. | 119 |
| abstract_inverted_index.practical | 347, 447 |
| abstract_inverted_index.precision | 16 |
| abstract_inverted_index.resulting | 177 |
| abstract_inverted_index.stability | 280 |
| abstract_inverted_index.thickness | 129, 189, 300, 311 |
| abstract_inverted_index.variation | 286 |
| abstract_inverted_index.Meanwhile, | 258 |
| abstract_inverted_index.comparison | 374 |
| abstract_inverted_index.components | 46, 359 |
| abstract_inverted_index.compromise | 223 |
| abstract_inverted_index.electrode, | 28 |
| abstract_inverted_index.electrodes | 101 |
| abstract_inverted_index.especially | 305 |
| abstract_inverted_index.experiment | 245 |
| abstract_inverted_index.lead–tin | 99, 260 |
| abstract_inverted_index.membranes, | 429 |
| abstract_inverted_index.membranes. | 141, 308 |
| abstract_inverted_index.optimizing | 450 |
| abstract_inverted_index.relatively | 270 |
| abstract_inverted_index.saturated, | 228 |
| abstract_inverted_index.scientific | 444 |
| abstract_inverted_index.sensor’s | 34 |
| abstract_inverted_index.stability. | 19 |
| abstract_inverted_index.thickness; | 167 |
| abstract_inverted_index.widespread | 6 |
| abstract_inverted_index.Fluorinated | 71 |
| abstract_inverted_index.coefficient | 255 |
| abstract_inverted_index.combination | 355 |
| abstract_inverted_index.components, | 24 |
| abstract_inverted_index.conditions, | 130 |
| abstract_inverted_index.configured, | 93 |
| abstract_inverted_index.electrodes, | 430 |
| abstract_inverted_index.electrolyte | 30, 91, 266, 333 |
| abstract_inverted_index.excessively | 219 |
| abstract_inverted_index.experiments | 107, 362 |
| abstract_inverted_index.investigate | 38 |
| abstract_inverted_index.measurement | 224 |
| abstract_inverted_index.performance | 49, 373, 435 |
| abstract_inverted_index.proportions | 97 |
| abstract_inverted_index.significant | 338 |
| abstract_inverted_index.temperature | 253 |
| abstract_inverted_index.thicknesses | 78 |
| abstract_inverted_index.(coefficient | 284 |
| abstract_inverted_index.(correlation | 254 |
| abstract_inverted_index.Furthermore, | 155 |
| abstract_inverted_index.applications | 7 |
| abstract_inverted_index.demonstrated | 409 |
| abstract_inverted_index.electrolytes | 432 |
| abstract_inverted_index.environment, | 231, 405 |
| abstract_inverted_index.experimental | 118, 121, 351 |
| abstract_inverted_index.performance. | 35 |
| abstract_inverted_index.permeability | 145, 158 |
| abstract_inverted_index.proportional | 164, 297 |
| abstract_inverted_index.relationship | 251 |
| abstract_inverted_index.temperature. | 154 |
| abstract_inverted_index.temperatures | 283 |
| abstract_inverted_index.Additionally, | 86 |
| abstract_inverted_index.Single-factor | 104 |
| abstract_inverted_index.comprehensive | 40 |
| abstract_inverted_index.concentration | 267, 334 |
| abstract_inverted_index.corresponding | 180, 236 |
| abstract_inverted_index.demonstrating | 278 |
| abstract_inverted_index.permeability, | 176 |
| abstract_inverted_index.respectively. | 212 |
| abstract_inverted_index.significantly | 31, 151 |
| abstract_inverted_index.concentrations | 88 |
| abstract_inverted_index.systematically | 37 |
| abstract_inverted_index.best-performing | 354 |
| abstract_inverted_index.(Perfluoroalkoxy | 67 |
| abstract_inverted_index.oxygen-permeable | 26, 61, 240, 303, 428 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5105421184 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I119454577 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/6 |
| sustainable_development_goals[0].score | 0.699999988079071 |
| sustainable_development_goals[0].display_name | Clean water and sanitation |
| citation_normalized_percentile.value | 0.68151996 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |