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Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data by Tomazzoli, Maíra M.; Pai Neto, Remi D.; Moresco, Rodolfo; Westphal, Larissa; Zeggio, Amelia R. S.; Specht, Leandro; Costa, Christopher; Rocha, Miguel; Maraschin, Marcelo is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data about?
## Summary Propolis is a chemically complex biomass produced by honeybees (Apis mellifera) from plant resins added of salivary enzymes, beeswax, and pollen. The biological activities described for propolis were also identified for donor plant’s resin, but a big challenge for the standardization of the chemical composition and biological effects of propolis remains on a better understanding of the influence of seasonality on the chemical constituents of that raw material. Since propolis quality depends, among other variables, on the local flora which is strongly influenced by (a)biotic factors over the seasons, to unravel the harvest season effect on the propolis chemical profile is an issue of recognized importance. For that, fast, cheap, and robust analytical techniques seem to be the best choice for large scale quality control processes in the most demanding markets, e.g., human health applications. For that, UV-Visible (UV-Vis) scanning spectrophotometry of hydroalcoholic extracts (HE) of seventy-three propolis samples, collected over the seasons in 2014 (summer, spring, autumn, and winter) and 2015 (summer and autumn) in Southern Brazil was adopted. Further machine learning and
Who reads Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Tomazzoli, Maíra M.; Pai Neto, Remi D.; Moresco, Rodolfo; Westphal, Larissa; Zeggio, Amelia R. S.; Specht, Leandro; Costa, Christopher; Rocha, Miguel; Maraschin, Marcelo
- Publisher
- Walter de Gruyter GmbH; Informationsmanagement in der Biotechnologie e.V. (IMBio e.V.) (ISSN 1613-4516)
- Published
- 2015
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)