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Integration of surface-enhanced Raman spectroscopy (SERS) and machine learning tools for coffee beverage classification

Digital Chemical Engineering(2022)10.1016/j.dche.2022.100020Source: DataRank Database

Integration of surface-enhanced Raman spectroscopy (SERS) and machine learning tools for coffee beverage classification is a research paper published in Digital Chemical Engineering (2022). On theSindex it has a DataRank of 0. It has been cited 43 times.

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0DataRank · unranked

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Open Access43 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: goldTopics (12)IDs (PubMed)

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Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Chase Sellers,Joseph Sang‐Il Kwon ORCID,Hung‐Jen Wu ORCID,Qiang Hu ORCID

Live enrichment

PubMed:36874955

National Institutes of Health

Grant: R03AI139650

National Institutes of Health

Grant: R21AI149383

National Science Foundation Division of Chemistry

Grant: CHE-1904784

National Science Foundation

Grant: 1904784

A new tool for the analysis of glycan recognition by lectin

National Science Foundation

Grant: 1149383

CAREER: Real-Time Crowd-Oriented Search and Computation Systems

goldLicense: cc-by-nc-nd

publisherhttps://www.sciencedirect.com/science/article/pii/S2772508122000114/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2772508122000114?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2772508122000114?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9983029

https://doi.org/10.1016/j.dche.2022.100020

Fields of Study

01 natural sciences0104 chemical sciences

Keywords

Chemical engineeringMachine learningFeature extractionSurface-enhanced Raman spectroscopy (SERS)TP155-156Information technologyClassificationT58.5-58.64CoffeeArticle