Univariate logistic regression analysis for adulterated versus non-adulterated Belgian beeswax samples.

Univariate logistic regression analysis for adulterated versus non-adulterated Belgian beeswax samples.

Volltext
Verfasser: Noëmie El Agrebi (11414198)
Lidija Svečnjak (11414201)
Jelena Horvatinec (11414204)
Véronique Renault (11414207)
Agnes Rortais (4167025)
Jean-Pierre Cravedi (340087)
Claude Saegerman (343632)
Dokumenttyp: Dataset
Erscheinungsdatum: 2021
Schlagwörter: Medicine / Microbiology / Ecology / Developmental Biology / Cancer / Science Policy / Environmental Sciences not elsewhere classified / Biological Sciences not elsewhere classified / attenuated total reflectance / present study aims / xlink \ / > beeswax / nationwide survey conducted / first nationwide survey / honey bees health / belgium </ p / commercial beeswax samples / beekeepers beeswax samples / nationwide survey / beekeepers samples / commercial beeswax / study shows / survey revealed / survey indicates / commercial suppliers / belgian beekeepers / crude beeswax / various percentages / urgent need / stearic acid / several occasions / scientific literature / reported lately / exact extent / current situation / cosmetics sectors / comb wax / comb foundation / beekeeping sector / accurately defined / 8 %)
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29290300
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1371/journal.pone.0252806.t002