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Magdas, Dana Alina, Berghian-Grosan, Camelia (2023) Botanical honey recognition and quantitative mixture detection based on Raman spectroscopy and machine learning. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 293. Elsevier BV. 122433 doi:10.1016/j.saa.2023.122433

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Reference TypeJournal (article/letter/editorial)
TitleBotanical honey recognition and quantitative mixture detection based on Raman spectroscopy and machine learning
JournalSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
AuthorsMagdas, Dana AlinaAuthor
Berghian-Grosan, CameliaAuthor
Year2023 (May)Volume293
PublisherElsevier BV
DOIdoi:10.1016/j.saa.2023.122433Search in ResearchGate
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Mindat Ref. ID16606169Long-form Identifiermindat:1:5:16606169:7
GUID0
Full ReferenceMagdas, Dana Alina, Berghian-Grosan, Camelia (2023) Botanical honey recognition and quantitative mixture detection based on Raman spectroscopy and machine learning. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 293. Elsevier BV. 122433 doi:10.1016/j.saa.2023.122433
Plain TextMagdas, Dana Alina, Berghian-Grosan, Camelia (2023) Botanical honey recognition and quantitative mixture detection based on Raman spectroscopy and machine learning. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 293. Elsevier BV. 122433 doi:10.1016/j.saa.2023.122433
In(2023) Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Vol. 293. Elsevier BV

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David, Maria, Hategan, Ariana Raluca, Berghian-Grosan, Camelia, Magdas, Dana Alina (2022) The Development of Honey Recognition Models Based on the Association between ATR-IR Spectroscopy and Advanced Statistical Tools. International Journal of Molecular Sciences, 23 (17) 9977 doi:10.3390/ijms23179977
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