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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The aim of the work was to evaluate the safety of bee drone brood in terms of the risk of possible contamination with heavy metals, microbial contamination, and sensory acceptability. Bee drone brood dried at a temperature of 80 °C in a hot air oven (DBO) and lyophilized drone brood (DBL) were used. Sensory evaluation was performed on an oatmeal ball (O-B) and drone brood ball (DBO-B). For the determination of the minerals and other elements in DBO, spectrometric analysis was used. The content was as follows: Fe 60.87 µg/g, Cu 54.83 µg/g, Zn 257 µg/g, Ag 82.7 µg/g, Pb 2.1 µg/g, Au 1.2 µg/g, Ca 1336 µg/g, Sr 3.13 µg/g, Zr 1.67 µg/g, Bi 3.87 µg/g, Br 1.95 µg/g. The detected content of lead in dry matter (2.1 µg/g) was high above the limit set for crustaceans (0.4 µg/g). By comparing microbial assay values, no statistically significant difference between freshly dried DBO and dried DBO after a month of storage was detected. Bee drone brood contains microbes far below the legal limits and it is a good source of calcium, iron, and zinc. Except for the juiciness, consumers rated O-B better than DBO-B. A statistically significant difference (p < 0.05) was found only in taste.

Details

Title
Use of Foods Based on Bee Drone Brood: Their Sensory and Microbiological Evaluation and Mineral Composition
Author
Borkovcová, Marie 1 ; Mlček, Jiří 1   VIAFID ORCID Logo  ; Adámková, Anna 1   VIAFID ORCID Logo  ; Adámek, Martin 2 ; Bednářová, Martina 3 ; Musilová, Zuzana 4 ; Ševčíková, Veronika 1   VIAFID ORCID Logo 

 Department of Food Analysis and Chemistry, Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 275, 76001 Zlin, Czech Republic; [email protected] (M.B.); [email protected] (J.M.); [email protected] (Z.M.); [email protected] (V.Š.) 
 Department of Physics and Materials Engineering, Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 275, 76001 Zlin, Czech Republic; [email protected]; Department of Microelectronics, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 3058/10, 61600 Brno, Czech Republic 
 Department of Information Technology, Mendel University in Brno, Zemedelska 1, 61300 Brno, Czech Republic; [email protected] 
 Department of Food Analysis and Chemistry, Faculty of Technology, Tomas Bata University in Zlin, Vavreckova 275, 76001 Zlin, Czech Republic; [email protected] (M.B.); [email protected] (J.M.); [email protected] (Z.M.); [email protected] (V.Š.); Department of Food Technology, Mendel University in Brno, Zemedelska 1, 61300 Brno, Czech Republic 
First page
2814
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2637794806
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.