A two-dimensional correlation spectroscopy analysis-based approach for asymptomatic rot detection in stored potatoes using hyperspectral imaging Article Swipe
Fan Zhang
,
Wenxiu Wang
,
Qianyun Ma
,
Shi Qi
,
Kexiang Chen
,
Xinyue Pan
,
Shiyuan Xie
,
Jianfeng Sun
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.fochx.2024.101574
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.fochx.2024.101574
Fusarium dry rot (FDR), which is caused by several Fusarium species, is a major disease affecting potatoes during storage. The study aimed to identify the gleyic stage and monitor rot progression in stored potatoes using a hyperspectral imaging (HSI) system. We evaluated the susceptibility parameters and quality attributes during the infection process and monitored starch, soluble protein, malondialdehyde, and aerobic bacterial contents in all samples. To further characterize the infection process, we collected spectral data on different storage days and then mapped these data using two-dimensional correlation spectroscopy. The results revealed 20 peaks related to these component contents. Then, the quantitative analysis models of these indicators were established based on the 2D correlation synchronization spectrum. The optimal correlation coefficients of the validation set were 0.9273, 0.9634, 0.9470, and 0.9487 for these indicators. Visual analysis was implemented to these indicators, and the content distribution can be effectively observed on hyperspectral images.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.fochx.2024.101574
- OA Status
- gold
- Cited By
- 4
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399730691
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4399730691Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.fochx.2024.101574Digital Object Identifier
- Title
-
A two-dimensional correlation spectroscopy analysis-based approach for asymptomatic rot detection in stored potatoes using hyperspectral imagingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-17Full publication date if available
- Authors
-
Fan Zhang, Wenxiu Wang, Qianyun Ma, Shi Qi, Kexiang Chen, Xinyue Pan, Shiyuan Xie, Jianfeng SunList of authors in order
- Landing page
-
https://doi.org/10.1016/j.fochx.2024.101574Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.fochx.2024.101574Direct OA link when available
- Concepts
-
Hyperspectral imaging, Correlation, Fusarium, Mathematics, Biological system, Food science, Chemistry, Environmental science, Horticulture, Biology, Artificial intelligence, Computer science, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
45Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4399730691 |
|---|---|
| doi | https://doi.org/10.1016/j.fochx.2024.101574 |
| ids.doi | https://doi.org/10.1016/j.fochx.2024.101574 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39007112 |
| ids.openalex | https://openalex.org/W4399730691 |
| fwci | 1.78242571 |
| type | article |
| title | A two-dimensional correlation spectroscopy analysis-based approach for asymptomatic rot detection in stored potatoes using hyperspectral imaging |
| biblio.issue | |
| biblio.volume | 23 |
| biblio.last_page | 101574 |
| biblio.first_page | 101574 |
| topics[0].id | https://openalex.org/T10640 |
| topics[0].field.id | https://openalex.org/fields/16 |
| topics[0].field.display_name | Chemistry |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1602 |
| topics[0].subfield.display_name | Analytical Chemistry |
| topics[0].display_name | Spectroscopy and Chemometric Analyses |
| topics[1].id | https://openalex.org/T11324 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.991100013256073 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1304 |
| topics[1].subfield.display_name | Biophysics |
| topics[1].display_name | Spectroscopy Techniques in Biomedical and Chemical Research |
| topics[2].id | https://openalex.org/T10225 |
| topics[2].field.id | https://openalex.org/fields/11 |
| topics[2].field.display_name | Agricultural and Biological Sciences |
| topics[2].score | 0.9836000204086304 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1106 |
| topics[2].subfield.display_name | Food Science |
| topics[2].display_name | Essential Oils and Antimicrobial Activity |
| is_xpac | False |
| apc_list.value | 1950 |
| apc_list.currency | USD |
| apc_list.value_usd | 1950 |
| apc_paid.value | 1950 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1950 |
| concepts[0].id | https://openalex.org/C159078339 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9444721341133118 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q959005 |
| concepts[0].display_name | Hyperspectral imaging |
| concepts[1].id | https://openalex.org/C117220453 |
| concepts[1].level | 2 |
| concepts[1].score | 0.4786347448825836 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q5172842 |
| concepts[1].display_name | Correlation |
| concepts[2].id | https://openalex.org/C2778867309 |
| concepts[2].level | 2 |
| concepts[2].score | 0.43292033672332764 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q131672 |
| concepts[2].display_name | Fusarium |
| concepts[3].id | https://openalex.org/C33923547 |
| concepts[3].level | 0 |
| concepts[3].score | 0.43018126487731934 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[3].display_name | Mathematics |
| concepts[4].id | https://openalex.org/C186060115 |
| concepts[4].level | 1 |
| concepts[4].score | 0.3586212992668152 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q30336093 |
| concepts[4].display_name | Biological system |
| concepts[5].id | https://openalex.org/C31903555 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3366960287094116 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1637030 |
| concepts[5].display_name | Food science |
| concepts[6].id | https://openalex.org/C185592680 |
| concepts[6].level | 0 |
| concepts[6].score | 0.33300504088401794 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[6].display_name | Chemistry |
| concepts[7].id | https://openalex.org/C39432304 |
| concepts[7].level | 0 |
| concepts[7].score | 0.3249688446521759 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[7].display_name | Environmental science |
| concepts[8].id | https://openalex.org/C144027150 |
| concepts[8].level | 1 |
| concepts[8].score | 0.2907542884349823 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q48803 |
| concepts[8].display_name | Horticulture |
| concepts[9].id | https://openalex.org/C86803240 |
| concepts[9].level | 0 |
| concepts[9].score | 0.2653536796569824 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[9].display_name | Biology |
| concepts[10].id | https://openalex.org/C154945302 |
| concepts[10].level | 1 |
| concepts[10].score | 0.2214062511920929 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[10].display_name | Artificial intelligence |
| concepts[11].id | https://openalex.org/C41008148 |
| concepts[11].level | 0 |
| concepts[11].score | 0.21354705095291138 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[11].display_name | Computer science |
| concepts[12].id | https://openalex.org/C2524010 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[12].display_name | Geometry |
| keywords[0].id | https://openalex.org/keywords/hyperspectral-imaging |
| keywords[0].score | 0.9444721341133118 |
| keywords[0].display_name | Hyperspectral imaging |
| keywords[1].id | https://openalex.org/keywords/correlation |
| keywords[1].score | 0.4786347448825836 |
| keywords[1].display_name | Correlation |
| keywords[2].id | https://openalex.org/keywords/fusarium |
| keywords[2].score | 0.43292033672332764 |
| keywords[2].display_name | Fusarium |
| keywords[3].id | https://openalex.org/keywords/mathematics |
| keywords[3].score | 0.43018126487731934 |
| keywords[3].display_name | Mathematics |
| keywords[4].id | https://openalex.org/keywords/biological-system |
| keywords[4].score | 0.3586212992668152 |
| keywords[4].display_name | Biological system |
| keywords[5].id | https://openalex.org/keywords/food-science |
| keywords[5].score | 0.3366960287094116 |
| keywords[5].display_name | Food science |
| keywords[6].id | https://openalex.org/keywords/chemistry |
| keywords[6].score | 0.33300504088401794 |
| keywords[6].display_name | Chemistry |
| keywords[7].id | https://openalex.org/keywords/environmental-science |
| keywords[7].score | 0.3249688446521759 |
| keywords[7].display_name | Environmental science |
| keywords[8].id | https://openalex.org/keywords/horticulture |
| keywords[8].score | 0.2907542884349823 |
| keywords[8].display_name | Horticulture |
| keywords[9].id | https://openalex.org/keywords/biology |
| keywords[9].score | 0.2653536796569824 |
| keywords[9].display_name | Biology |
| keywords[10].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[10].score | 0.2214062511920929 |
| keywords[10].display_name | Artificial intelligence |
| keywords[11].id | https://openalex.org/keywords/computer-science |
| keywords[11].score | 0.21354705095291138 |
| keywords[11].display_name | Computer science |
| language | en |
| locations[0].id | doi:10.1016/j.fochx.2024.101574 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210189394 |
| locations[0].source.issn | 2590-1575 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2590-1575 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Food Chemistry X |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Food Chemistry: X |
| locations[0].landing_page_url | https://doi.org/10.1016/j.fochx.2024.101574 |
| locations[1].id | pmid:39007112 |
| 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 | Food chemistry: X |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39007112 |
| locations[2].id | pmh:oai:doaj.org/article:6ebba747cd774d89961367fa4dbd951b |
| 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 | Food Chemistry: X, Vol 23, Iss , Pp 101574- (2024) |
| locations[2].landing_page_url | https://doaj.org/article/6ebba747cd774d89961367fa4dbd951b |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:11239453 |
| 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 | Food Chem X |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11239453 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5100403557 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-2182-7018 |
| authorships[0].author.display_name | Fan Zhang |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I108160477 |
| authorships[0].affiliations[0].raw_affiliation_string | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[0].institutions[0].id | https://openalex.org/I108160477 |
| authorships[0].institutions[0].ror | https://ror.org/009fw8j44 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I108160477 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Hebei Agricultural University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Fan Zhang |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[1].author.id | https://openalex.org/A5102734799 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-9268-3528 |
| authorships[1].author.display_name | Wenxiu Wang |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I108160477 |
| authorships[1].affiliations[0].raw_affiliation_string | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[1].institutions[0].id | https://openalex.org/I108160477 |
| authorships[1].institutions[0].ror | https://ror.org/009fw8j44 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I108160477 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Hebei Agricultural University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Wenxiu Wang |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[2].author.id | https://openalex.org/A5101558632 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-7805-084X |
| authorships[2].author.display_name | Qianyun Ma |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I108160477 |
| authorships[2].affiliations[0].raw_affiliation_string | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[2].institutions[0].id | https://openalex.org/I108160477 |
| authorships[2].institutions[0].ror | https://ror.org/009fw8j44 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I108160477 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Hebei Agricultural University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Qianyun Ma |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[3].author.id | https://openalex.org/A5049172053 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-2665-2827 |
| authorships[3].author.display_name | Shi Qi |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I108160477 |
| authorships[3].affiliations[0].raw_affiliation_string | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[3].institutions[0].id | https://openalex.org/I108160477 |
| authorships[3].institutions[0].ror | https://ror.org/009fw8j44 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I108160477 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Hebei Agricultural University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Qi Shi |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[4].author.id | https://openalex.org/A5080909794 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Kexiang Chen |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I108160477 |
| authorships[4].affiliations[0].raw_affiliation_string | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[4].institutions[0].id | https://openalex.org/I108160477 |
| authorships[4].institutions[0].ror | https://ror.org/009fw8j44 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I108160477 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Hebei Agricultural University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Kexiang Chen |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[5].author.id | https://openalex.org/A5113062289 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Xinyue Pan |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I108160477 |
| authorships[5].affiliations[0].raw_affiliation_string | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[5].institutions[0].id | https://openalex.org/I108160477 |
| authorships[5].institutions[0].ror | https://ror.org/009fw8j44 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I108160477 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Hebei Agricultural University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Xinyue Pan |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[6].author.id | https://openalex.org/A5080109316 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Shiyuan Xie |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I108160477 |
| authorships[6].affiliations[0].raw_affiliation_string | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[6].institutions[0].id | https://openalex.org/I108160477 |
| authorships[6].institutions[0].ror | https://ror.org/009fw8j44 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I108160477 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | Hebei Agricultural University |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Shiyuan Xie |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[7].author.id | https://openalex.org/A5063188743 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-8344-4891 |
| authorships[7].author.display_name | Jianfeng Sun |
| authorships[7].countries | CN |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I108160477 |
| authorships[7].affiliations[0].raw_affiliation_string | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| authorships[7].institutions[0].id | https://openalex.org/I108160477 |
| authorships[7].institutions[0].ror | https://ror.org/009fw8j44 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I108160477 |
| authorships[7].institutions[0].country_code | CN |
| authorships[7].institutions[0].display_name | Hebei Agricultural University |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Jianfeng Sun |
| authorships[7].is_corresponding | True |
| authorships[7].raw_affiliation_strings | College of Food Science and Technology, Hebei Agricultural University, 289th Lingyusi Street, Lianchi District, Baoding 071000, China. |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/j.fochx.2024.101574 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A two-dimensional correlation spectroscopy analysis-based approach for asymptomatic rot detection in stored potatoes using hyperspectral imaging |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10640 |
| primary_topic.field.id | https://openalex.org/fields/16 |
| primary_topic.field.display_name | Chemistry |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1602 |
| primary_topic.subfield.display_name | Analytical Chemistry |
| primary_topic.display_name | Spectroscopy and Chemometric Analyses |
| related_works | https://openalex.org/W2072166414, https://openalex.org/W3209970181, https://openalex.org/W2060875994, https://openalex.org/W3034375524, https://openalex.org/W4230131218, https://openalex.org/W2070598848, https://openalex.org/W2044184146, https://openalex.org/W4313014865, https://openalex.org/W2019190440, https://openalex.org/W2343470940 |
| cited_by_count | 4 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1016/j.fochx.2024.101574 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210189394 |
| best_oa_location.source.issn | 2590-1575 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2590-1575 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Food Chemistry X |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_lineage_names | Elsevier BV |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Food Chemistry: X |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.fochx.2024.101574 |
| primary_location.id | doi:10.1016/j.fochx.2024.101574 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210189394 |
| primary_location.source.issn | 2590-1575 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2590-1575 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Food Chemistry X |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Food Chemistry: X |
| primary_location.landing_page_url | https://doi.org/10.1016/j.fochx.2024.101574 |
| publication_date | 2024-06-17 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4385972870, https://openalex.org/W1984445830, https://openalex.org/W1984517772, https://openalex.org/W2997231073, https://openalex.org/W2034304212, https://openalex.org/W2801068453, https://openalex.org/W3169268368, https://openalex.org/W4392349962, https://openalex.org/W3105087942, https://openalex.org/W3158568467, https://openalex.org/W4210494228, https://openalex.org/W3137600194, https://openalex.org/W3157616756, https://openalex.org/W3087154029, https://openalex.org/W4311276243, https://openalex.org/W6699620943, https://openalex.org/W2067145094, https://openalex.org/W3118634794, https://openalex.org/W3128152288, https://openalex.org/W2034132572, https://openalex.org/W2062421478, https://openalex.org/W2012588090, https://openalex.org/W2760994446, https://openalex.org/W3182218245, https://openalex.org/W4362663632, https://openalex.org/W3033843996, https://openalex.org/W4386997587, https://openalex.org/W4395085130, https://openalex.org/W4293176560, https://openalex.org/W2604002083, https://openalex.org/W3024296056, https://openalex.org/W4396608422, https://openalex.org/W4304806705, https://openalex.org/W4392266825, https://openalex.org/W4386187598, https://openalex.org/W6795782354, https://openalex.org/W3045663926, https://openalex.org/W2911863681, https://openalex.org/W2934164816, https://openalex.org/W4312609828, https://openalex.org/W3077140934, https://openalex.org/W2894586742, https://openalex.org/W3163663230, https://openalex.org/W2319210205, https://openalex.org/W1809141522 |
| referenced_works_count | 45 |
| abstract_inverted_index.a | 12, 35 |
| abstract_inverted_index.20 | 91 |
| abstract_inverted_index.2D | 111 |
| abstract_inverted_index.To | 65 |
| abstract_inverted_index.We | 40 |
| abstract_inverted_index.be | 144 |
| abstract_inverted_index.by | 7 |
| abstract_inverted_index.in | 31, 62 |
| abstract_inverted_index.is | 5, 11 |
| abstract_inverted_index.of | 103, 119 |
| abstract_inverted_index.on | 75, 109, 147 |
| abstract_inverted_index.to | 22, 94, 136 |
| abstract_inverted_index.we | 71 |
| abstract_inverted_index.The | 19, 88, 115 |
| abstract_inverted_index.all | 63 |
| abstract_inverted_index.and | 27, 45, 52, 58, 79, 127, 139 |
| abstract_inverted_index.can | 143 |
| abstract_inverted_index.dry | 1 |
| abstract_inverted_index.for | 129 |
| abstract_inverted_index.rot | 2, 29 |
| abstract_inverted_index.set | 122 |
| abstract_inverted_index.the | 24, 42, 49, 68, 99, 110, 120, 140 |
| abstract_inverted_index.was | 134 |
| abstract_inverted_index.data | 74, 83 |
| abstract_inverted_index.days | 78 |
| abstract_inverted_index.then | 80 |
| abstract_inverted_index.were | 106, 123 |
| abstract_inverted_index.(HSI) | 38 |
| abstract_inverted_index.Then, | 98 |
| abstract_inverted_index.aimed | 21 |
| abstract_inverted_index.based | 108 |
| abstract_inverted_index.major | 13 |
| abstract_inverted_index.peaks | 92 |
| abstract_inverted_index.stage | 26 |
| abstract_inverted_index.study | 20 |
| abstract_inverted_index.these | 82, 95, 104, 130, 137 |
| abstract_inverted_index.using | 34, 84 |
| abstract_inverted_index.which | 4 |
| abstract_inverted_index.(FDR), | 3 |
| abstract_inverted_index.0.9487 | 128 |
| abstract_inverted_index.Visual | 132 |
| abstract_inverted_index.caused | 6 |
| abstract_inverted_index.during | 17, 48 |
| abstract_inverted_index.gleyic | 25 |
| abstract_inverted_index.mapped | 81 |
| abstract_inverted_index.models | 102 |
| abstract_inverted_index.stored | 32 |
| abstract_inverted_index.0.9273, | 124 |
| abstract_inverted_index.0.9470, | 126 |
| abstract_inverted_index.0.9634, | 125 |
| abstract_inverted_index.aerobic | 59 |
| abstract_inverted_index.content | 141 |
| abstract_inverted_index.disease | 14 |
| abstract_inverted_index.further | 66 |
| abstract_inverted_index.images. | 149 |
| abstract_inverted_index.imaging | 37 |
| abstract_inverted_index.monitor | 28 |
| abstract_inverted_index.optimal | 116 |
| abstract_inverted_index.process | 51 |
| abstract_inverted_index.quality | 46 |
| abstract_inverted_index.related | 93 |
| abstract_inverted_index.results | 89 |
| abstract_inverted_index.several | 8 |
| abstract_inverted_index.soluble | 55 |
| abstract_inverted_index.starch, | 54 |
| abstract_inverted_index.storage | 77 |
| abstract_inverted_index.system. | 39 |
| abstract_inverted_index.Fusarium | 0, 9 |
| abstract_inverted_index.analysis | 101, 133 |
| abstract_inverted_index.contents | 61 |
| abstract_inverted_index.identify | 23 |
| abstract_inverted_index.observed | 146 |
| abstract_inverted_index.potatoes | 16, 33 |
| abstract_inverted_index.process, | 70 |
| abstract_inverted_index.protein, | 56 |
| abstract_inverted_index.revealed | 90 |
| abstract_inverted_index.samples. | 64 |
| abstract_inverted_index.species, | 10 |
| abstract_inverted_index.spectral | 73 |
| abstract_inverted_index.storage. | 18 |
| abstract_inverted_index.affecting | 15 |
| abstract_inverted_index.bacterial | 60 |
| abstract_inverted_index.collected | 72 |
| abstract_inverted_index.component | 96 |
| abstract_inverted_index.contents. | 97 |
| abstract_inverted_index.different | 76 |
| abstract_inverted_index.evaluated | 41 |
| abstract_inverted_index.infection | 50, 69 |
| abstract_inverted_index.monitored | 53 |
| abstract_inverted_index.spectrum. | 114 |
| abstract_inverted_index.attributes | 47 |
| abstract_inverted_index.indicators | 105 |
| abstract_inverted_index.parameters | 44 |
| abstract_inverted_index.validation | 121 |
| abstract_inverted_index.correlation | 86, 112, 117 |
| abstract_inverted_index.effectively | 145 |
| abstract_inverted_index.established | 107 |
| abstract_inverted_index.implemented | 135 |
| abstract_inverted_index.indicators, | 138 |
| abstract_inverted_index.indicators. | 131 |
| abstract_inverted_index.progression | 30 |
| abstract_inverted_index.characterize | 67 |
| abstract_inverted_index.coefficients | 118 |
| abstract_inverted_index.distribution | 142 |
| abstract_inverted_index.quantitative | 100 |
| abstract_inverted_index.hyperspectral | 36, 148 |
| abstract_inverted_index.spectroscopy. | 87 |
| abstract_inverted_index.susceptibility | 43 |
| abstract_inverted_index.synchronization | 113 |
| abstract_inverted_index.two-dimensional | 85 |
| abstract_inverted_index.malondialdehyde, | 57 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5063188743 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I108160477 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.76715426 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |