MOX Sensors for Authenticity Assessment and Adulteration Detection in Extra Virgin Olive Oil (EVOO) Article Swipe
Elisabetta Poeta
,
Estefanía Nunez-Carmona
,
Veronica Sberveglieri
,
Alejandro Bernal
,
Jesús Salvador Lozano
,
Ramiro Sánchez
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202511.1465.v1
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202511.1465.v1
Food fraud, particularly in the olive oil sector, represents a pressing concern within the agri-food industry, with implications for consumer trust and product authenticity. Certified products like Protected Designation of Origin (PDO) extra virgin olive oil (EVOO) are premium products that undergo strict quality controls, must comply with specific production regulations, and generally have a higher market price. These characteristics make them particularly vulnerable to economically motivated adulteration. In this study, the adulteration of PDO EVOO with olive pomace oil and refined olive oil was investigated through a combined analytical approach. A traditional technique, gas chromatography–mass spectrometry with solid-phase micro-extraction detection (GC-MS SPME), was employed alongside an innovative method based on an electronic nose equipped with metal oxide semiconductor (MOX) sensors. GC-MS analysis enabled the identification of characteristic volatile compounds, providing a detailed chemical fingerprint of the different oil samples. Concurrently, the MOX sensor array successfully detected variations in the volatile profiles released by the adulterated oils, demonstrating its potential as a rapid and cost-effective screening tool. The complementary use of both techniques highlighted the reliability of MOX sensors in differentiating authentic PDO EVOO from adulterated samples and underscored their applicability in routine quality control and fraud prevention strategies.
Related Topics
Concepts
Pomace
Olive oil
Electronic nose
MOX fuel
Edible oil
European union
Product (mathematics)
Wine
Quality (philosophy)
Environmental science
Reliability (semiconductor)
Waste management
Food science
Pressing
Pulp and paper industry
Consumer safety
Identification (biology)
Engineering
Food quality
Fingerprint (computing)
Authorization
European market
Food industry
Consumer protection
Metadata
- Type
- article
- Landing Page
- https://doi.org/10.20944/preprints202511.1465.v1
- https://www.preprints.org/frontend/manuscript/6045a8467b9a8bdbd5820db652acc625/download_pub
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7106114136
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7106114136Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.20944/preprints202511.1465.v1Digital Object Identifier
- Title
-
MOX Sensors for Authenticity Assessment and Adulteration Detection in Extra Virgin Olive Oil (EVOO)Work title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-19Full publication date if available
- Authors
-
Elisabetta Poeta, Estefanía Nunez-Carmona, Veronica Sberveglieri, Alejandro Bernal, Jesús Salvador Lozano, Ramiro SánchezList of authors in order
- Landing page
-
https://doi.org/10.20944/preprints202511.1465.v1Publisher landing page
- PDF URL
-
https://www.preprints.org/frontend/manuscript/6045a8467b9a8bdbd5820db652acc625/download_pubDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.preprints.org/frontend/manuscript/6045a8467b9a8bdbd5820db652acc625/download_pubDirect OA link when available
- Concepts
-
Pomace, Olive oil, Electronic nose, MOX fuel, Edible oil, European union, Product (mathematics), Wine, Quality (philosophy), Environmental science, Reliability (semiconductor), Waste management, Food science, Pressing, Pulp and paper industry, Consumer safety, Identification (biology), Engineering, Food quality, Fingerprint (computing), Authorization, European market, Food industry, Consumer protectionTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W7106114136 |
|---|---|
| doi | https://doi.org/10.20944/preprints202511.1465.v1 |
| ids.doi | https://doi.org/10.20944/preprints202511.1465.v1 |
| ids.openalex | https://openalex.org/W7106114136 |
| fwci | 0.0 |
| type | article |
| title | MOX Sensors for Authenticity Assessment and Adulteration Detection in Extra Virgin Olive Oil (EVOO) |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10909 |
| topics[0].field.id | https://openalex.org/fields/16 |
| topics[0].field.display_name | Chemistry |
| topics[0].score | 0.7879015803337097 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1605 |
| topics[0].subfield.display_name | Organic Chemistry |
| topics[0].display_name | Edible Oils Quality and Analysis |
| topics[1].id | https://openalex.org/T11667 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.14941589534282684 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2204 |
| topics[1].subfield.display_name | Biomedical Engineering |
| topics[1].display_name | Advanced Chemical Sensor Technologies |
| topics[2].id | https://openalex.org/T12388 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.012540504336357117 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Identification and Quantification in Food |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C35421065 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7098484039306641 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q927202 |
| concepts[0].display_name | Pomace |
| concepts[1].id | https://openalex.org/C2988377048 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6646125316619873 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q93165 |
| concepts[1].display_name | Olive oil |
| concepts[2].id | https://openalex.org/C23895516 |
| concepts[2].level | 2 |
| concepts[2].score | 0.639668345451355 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q550092 |
| concepts[2].display_name | Electronic nose |
| concepts[3].id | https://openalex.org/C8138999 |
| concepts[3].level | 3 |
| concepts[3].score | 0.49069511890411377 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q898519 |
| concepts[3].display_name | MOX fuel |
| concepts[4].id | https://openalex.org/C2994459887 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4601915180683136 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q427457 |
| concepts[4].display_name | Edible oil |
| concepts[5].id | https://openalex.org/C2910001868 |
| concepts[5].level | 2 |
| concepts[5].score | 0.421001672744751 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q458 |
| concepts[5].display_name | European union |
| concepts[6].id | https://openalex.org/C90673727 |
| concepts[6].level | 2 |
| concepts[6].score | 0.3829617500305176 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q901718 |
| concepts[6].display_name | Product (mathematics) |
| concepts[7].id | https://openalex.org/C55952523 |
| concepts[7].level | 2 |
| concepts[7].score | 0.3818773031234741 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q3014419 |
| concepts[7].display_name | Wine |
| concepts[8].id | https://openalex.org/C2779530757 |
| concepts[8].level | 2 |
| concepts[8].score | 0.38082611560821533 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1207505 |
| concepts[8].display_name | Quality (philosophy) |
| concepts[9].id | https://openalex.org/C39432304 |
| concepts[9].level | 0 |
| concepts[9].score | 0.3646020293235779 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[9].display_name | Environmental science |
| concepts[10].id | https://openalex.org/C43214815 |
| concepts[10].level | 3 |
| concepts[10].score | 0.3541553318500519 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q7310987 |
| concepts[10].display_name | Reliability (semiconductor) |
| concepts[11].id | https://openalex.org/C548081761 |
| concepts[11].level | 1 |
| concepts[11].score | 0.34568682312965393 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q180388 |
| concepts[11].display_name | Waste management |
| concepts[12].id | https://openalex.org/C31903555 |
| concepts[12].level | 1 |
| concepts[12].score | 0.33685529232025146 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1637030 |
| concepts[12].display_name | Food science |
| concepts[13].id | https://openalex.org/C93021684 |
| concepts[13].level | 2 |
| concepts[13].score | 0.316156804561615 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q3816735 |
| concepts[13].display_name | Pressing |
| concepts[14].id | https://openalex.org/C528095902 |
| concepts[14].level | 1 |
| concepts[14].score | 0.2956049144268036 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q2283886 |
| concepts[14].display_name | Pulp and paper industry |
| concepts[15].id | https://openalex.org/C2991878520 |
| concepts[15].level | 2 |
| concepts[15].score | 0.2942779064178467 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q664183 |
| concepts[15].display_name | Consumer safety |
| concepts[16].id | https://openalex.org/C116834253 |
| concepts[16].level | 2 |
| concepts[16].score | 0.2751888632774353 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q2039217 |
| concepts[16].display_name | Identification (biology) |
| concepts[17].id | https://openalex.org/C127413603 |
| concepts[17].level | 0 |
| concepts[17].score | 0.2682872414588928 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[17].display_name | Engineering |
| concepts[18].id | https://openalex.org/C51592225 |
| concepts[18].level | 2 |
| concepts[18].score | 0.2680054306983948 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q2498665 |
| concepts[18].display_name | Food quality |
| concepts[19].id | https://openalex.org/C2777826928 |
| concepts[19].level | 2 |
| concepts[19].score | 0.25571727752685547 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q3745713 |
| concepts[19].display_name | Fingerprint (computing) |
| concepts[20].id | https://openalex.org/C108759981 |
| concepts[20].level | 2 |
| concepts[20].score | 0.2531697154045105 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q788590 |
| concepts[20].display_name | Authorization |
| concepts[21].id | https://openalex.org/C2985089533 |
| concepts[21].level | 2 |
| concepts[21].score | 0.25108587741851807 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q8932 |
| concepts[21].display_name | European market |
| concepts[22].id | https://openalex.org/C513059894 |
| concepts[22].level | 2 |
| concepts[22].score | 0.25080081820487976 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q540912 |
| concepts[22].display_name | Food industry |
| concepts[23].id | https://openalex.org/C2989499966 |
| concepts[23].level | 2 |
| concepts[23].score | 0.2504059374332428 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q664183 |
| concepts[23].display_name | Consumer protection |
| keywords[0].id | https://openalex.org/keywords/pomace |
| keywords[0].score | 0.7098484039306641 |
| keywords[0].display_name | Pomace |
| keywords[1].id | https://openalex.org/keywords/olive-oil |
| keywords[1].score | 0.6646125316619873 |
| keywords[1].display_name | Olive oil |
| keywords[2].id | https://openalex.org/keywords/electronic-nose |
| keywords[2].score | 0.639668345451355 |
| keywords[2].display_name | Electronic nose |
| keywords[3].id | https://openalex.org/keywords/mox-fuel |
| keywords[3].score | 0.49069511890411377 |
| keywords[3].display_name | MOX fuel |
| keywords[4].id | https://openalex.org/keywords/edible-oil |
| keywords[4].score | 0.4601915180683136 |
| keywords[4].display_name | Edible oil |
| keywords[5].id | https://openalex.org/keywords/european-union |
| keywords[5].score | 0.421001672744751 |
| keywords[5].display_name | European union |
| keywords[6].id | https://openalex.org/keywords/product |
| keywords[6].score | 0.3829617500305176 |
| keywords[6].display_name | Product (mathematics) |
| keywords[7].id | https://openalex.org/keywords/wine |
| keywords[7].score | 0.3818773031234741 |
| keywords[7].display_name | Wine |
| language | |
| locations[0].id | doi:10.20944/preprints202511.1465.v1 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S6309402219 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Preprints.org |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.preprints.org/frontend/manuscript/6045a8467b9a8bdbd5820db652acc625/download_pub |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.20944/preprints202511.1465.v1 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5093049480 |
| authorships[0].author.orcid | https://orcid.org/0009-0003-2358-2410 |
| authorships[0].author.display_name | Elisabetta Poeta |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Elisabetta Poeta |
| authorships[0].is_corresponding | True |
| authorships[1].author.id | https://openalex.org/A2159313229 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-4621-0658 |
| authorships[1].author.display_name | Estefanía Nunez-Carmona |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Estefania Nunez Carmona |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A2052940817 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5991-9391 |
| authorships[2].author.display_name | Veronica Sberveglieri |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Veronica Sberveglieri |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A2168456842 |
| authorships[3].author.orcid | https://orcid.org/0009-0003-6662-8730 |
| authorships[3].author.display_name | Alejandro Bernal |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Alejandro Bernal |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Jesús Salvador Lozano |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Jesús Salvador Lozano |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A2124535784 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-6736-5512 |
| authorships[5].author.display_name | Ramiro Sánchez |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Ramiro Sánchez |
| authorships[5].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.preprints.org/frontend/manuscript/6045a8467b9a8bdbd5820db652acc625/download_pub |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-11-20T00:00:00 |
| display_name | MOX Sensors for Authenticity Assessment and Adulteration Detection in Extra Virgin Olive Oil (EVOO) |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-23T05:10:03.516525 |
| primary_topic.id | https://openalex.org/T10909 |
| primary_topic.field.id | https://openalex.org/fields/16 |
| primary_topic.field.display_name | Chemistry |
| primary_topic.score | 0.7879015803337097 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1605 |
| primary_topic.subfield.display_name | Organic Chemistry |
| primary_topic.display_name | Edible Oils Quality and Analysis |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.20944/preprints202511.1465.v1 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S6309402219 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Preprints.org |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.preprints.org/frontend/manuscript/6045a8467b9a8bdbd5820db652acc625/download_pub |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.20944/preprints202511.1465.v1 |
| primary_location.id | doi:10.20944/preprints202511.1465.v1 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S6309402219 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Preprints.org |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.preprints.org/frontend/manuscript/6045a8467b9a8bdbd5820db652acc625/download_pub |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.20944/preprints202511.1465.v1 |
| publication_date | 2025-11-19 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.A | 91 |
| abstract_inverted_index.a | 9, 54, 87, 131, 161 |
| abstract_inverted_index.In | 68 |
| abstract_inverted_index.an | 106, 111 |
| abstract_inverted_index.as | 160 |
| abstract_inverted_index.by | 153 |
| abstract_inverted_index.in | 3, 148, 179, 191 |
| abstract_inverted_index.of | 29, 73, 126, 135, 170, 176 |
| abstract_inverted_index.on | 110 |
| abstract_inverted_index.to | 64 |
| abstract_inverted_index.MOX | 142, 177 |
| abstract_inverted_index.PDO | 74, 182 |
| abstract_inverted_index.The | 167 |
| abstract_inverted_index.and | 21, 51, 80, 163, 187, 195 |
| abstract_inverted_index.are | 37 |
| abstract_inverted_index.for | 18 |
| abstract_inverted_index.gas | 94 |
| abstract_inverted_index.its | 158 |
| abstract_inverted_index.oil | 6, 35, 79, 83, 138 |
| abstract_inverted_index.the | 4, 13, 71, 124, 136, 141, 149, 154, 174 |
| abstract_inverted_index.use | 169 |
| abstract_inverted_index.was | 84, 103 |
| abstract_inverted_index.EVOO | 75, 183 |
| abstract_inverted_index.Food | 0 |
| abstract_inverted_index.both | 171 |
| abstract_inverted_index.from | 184 |
| abstract_inverted_index.have | 53 |
| abstract_inverted_index.like | 26 |
| abstract_inverted_index.make | 60 |
| abstract_inverted_index.must | 45 |
| abstract_inverted_index.nose | 113 |
| abstract_inverted_index.that | 40 |
| abstract_inverted_index.them | 61 |
| abstract_inverted_index.this | 69 |
| abstract_inverted_index.with | 16, 47, 76, 97, 115 |
| abstract_inverted_index.(MOX) | 119 |
| abstract_inverted_index.(PDO) | 31 |
| abstract_inverted_index.GC-MS | 121 |
| abstract_inverted_index.These | 58 |
| abstract_inverted_index.array | 144 |
| abstract_inverted_index.based | 109 |
| abstract_inverted_index.extra | 32 |
| abstract_inverted_index.fraud | 196 |
| abstract_inverted_index.metal | 116 |
| abstract_inverted_index.oils, | 156 |
| abstract_inverted_index.olive | 5, 34, 77, 82 |
| abstract_inverted_index.oxide | 117 |
| abstract_inverted_index.rapid | 162 |
| abstract_inverted_index.their | 189 |
| abstract_inverted_index.tool. | 166 |
| abstract_inverted_index.trust | 20 |
| abstract_inverted_index.(EVOO) | 36 |
| abstract_inverted_index.(GC-MS | 101 |
| abstract_inverted_index.Origin | 30 |
| abstract_inverted_index.SPME), | 102 |
| abstract_inverted_index.comply | 46 |
| abstract_inverted_index.fraud, | 1 |
| abstract_inverted_index.higher | 55 |
| abstract_inverted_index.market | 56 |
| abstract_inverted_index.method | 108 |
| abstract_inverted_index.pomace | 78 |
| abstract_inverted_index.price. | 57 |
| abstract_inverted_index.sensor | 143 |
| abstract_inverted_index.strict | 42 |
| abstract_inverted_index.study, | 70 |
| abstract_inverted_index.virgin | 33 |
| abstract_inverted_index.within | 12 |
| abstract_inverted_index.concern | 11 |
| abstract_inverted_index.control | 194 |
| abstract_inverted_index.enabled | 123 |
| abstract_inverted_index.premium | 38 |
| abstract_inverted_index.product | 22 |
| abstract_inverted_index.quality | 43, 193 |
| abstract_inverted_index.refined | 81 |
| abstract_inverted_index.routine | 192 |
| abstract_inverted_index.samples | 186 |
| abstract_inverted_index.sector, | 7 |
| abstract_inverted_index.sensors | 178 |
| abstract_inverted_index.through | 86 |
| abstract_inverted_index.undergo | 41 |
| abstract_inverted_index.analysis | 122 |
| abstract_inverted_index.chemical | 133 |
| abstract_inverted_index.combined | 88 |
| abstract_inverted_index.consumer | 19 |
| abstract_inverted_index.detailed | 132 |
| abstract_inverted_index.detected | 146 |
| abstract_inverted_index.employed | 104 |
| abstract_inverted_index.equipped | 114 |
| abstract_inverted_index.pressing | 10 |
| abstract_inverted_index.products | 25, 39 |
| abstract_inverted_index.profiles | 151 |
| abstract_inverted_index.released | 152 |
| abstract_inverted_index.samples. | 139 |
| abstract_inverted_index.sensors. | 120 |
| abstract_inverted_index.specific | 48 |
| abstract_inverted_index.volatile | 128, 150 |
| abstract_inverted_index.Certified | 24 |
| abstract_inverted_index.Protected | 27 |
| abstract_inverted_index.agri-food | 14 |
| abstract_inverted_index.alongside | 105 |
| abstract_inverted_index.approach. | 90 |
| abstract_inverted_index.authentic | 181 |
| abstract_inverted_index.controls, | 44 |
| abstract_inverted_index.detection | 100 |
| abstract_inverted_index.different | 137 |
| abstract_inverted_index.generally | 52 |
| abstract_inverted_index.industry, | 15 |
| abstract_inverted_index.motivated | 66 |
| abstract_inverted_index.potential | 159 |
| abstract_inverted_index.providing | 130 |
| abstract_inverted_index.screening | 165 |
| abstract_inverted_index.analytical | 89 |
| abstract_inverted_index.compounds, | 129 |
| abstract_inverted_index.electronic | 112 |
| abstract_inverted_index.innovative | 107 |
| abstract_inverted_index.prevention | 197 |
| abstract_inverted_index.production | 49 |
| abstract_inverted_index.represents | 8 |
| abstract_inverted_index.technique, | 93 |
| abstract_inverted_index.techniques | 172 |
| abstract_inverted_index.variations | 147 |
| abstract_inverted_index.vulnerable | 63 |
| abstract_inverted_index.Designation | 28 |
| abstract_inverted_index.adulterated | 155, 185 |
| abstract_inverted_index.fingerprint | 134 |
| abstract_inverted_index.highlighted | 173 |
| abstract_inverted_index.reliability | 175 |
| abstract_inverted_index.solid-phase | 98 |
| abstract_inverted_index.strategies. | 198 |
| abstract_inverted_index.traditional | 92 |
| abstract_inverted_index.underscored | 188 |
| abstract_inverted_index.adulteration | 72 |
| abstract_inverted_index.economically | 65 |
| abstract_inverted_index.implications | 17 |
| abstract_inverted_index.investigated | 85 |
| abstract_inverted_index.particularly | 2, 62 |
| abstract_inverted_index.regulations, | 50 |
| abstract_inverted_index.spectrometry | 96 |
| abstract_inverted_index.successfully | 145 |
| abstract_inverted_index.Concurrently, | 140 |
| abstract_inverted_index.adulteration. | 67 |
| abstract_inverted_index.applicability | 190 |
| abstract_inverted_index.authenticity. | 23 |
| abstract_inverted_index.complementary | 168 |
| abstract_inverted_index.demonstrating | 157 |
| abstract_inverted_index.semiconductor | 118 |
| abstract_inverted_index.characteristic | 127 |
| abstract_inverted_index.cost-effective | 164 |
| abstract_inverted_index.identification | 125 |
| abstract_inverted_index.characteristics | 59 |
| abstract_inverted_index.differentiating | 180 |
| abstract_inverted_index.micro-extraction | 99 |
| abstract_inverted_index.chromatography–mass | 95 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.76850447 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |