Implementation of a rapid antibody based method to detect Pichia sp. and Hanseniaspora uvarum during the whole winemaking process
Autor: | F. Rex, M. Scharfenberger-Schmeer |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
Environmental Engineering Food spoilage Population lcsh:QR1-502 Hanseniaspora 01 natural sciences Industrial and Manufacturing Engineering lcsh:Microbiology lcsh:Physiology 03 medical and health sciences 010608 biotechnology lcsh:Zoology Food science lcsh:QL1-991 education 030304 developmental biology Pichia Winemaking Wine 0303 health sciences education.field_of_study biology lcsh:QP1-981 food and beverages biology.organism_classification Yeast Fermentation |
Zdroj: | BIO Web of Conferences, Vol 15, p 02004 (2019) |
ISSN: | 2117-4458 |
Popis: | Off-flavors produced by spoilage microorganisms should be avoided during fermentation. In case of spontaneous fermentation, difficult storage conditions or long-lasting transport, it is necessary to detect spoilage microorganisms before population sizes achieve the critical level to produce perceivable off-flavors. Additionally, a knowledge of the composition of microorganisms allows winemakers to reduce treatments such as SO2 addition. For this reason a rapid antibody-based analytic method was developed providing the winemaker with the information about beneficial and harmful microorganisms without the need of a laboratory equipment and lengthy wait periods. Antibodies for the detection of the genera Pichia and Hanseniasporawere generated. For the evaluation of the new antibody based method an ELISA test system has been used showing a high sensitivity beginning with 103 cells/ml and a specificity to the spoilage yeast. All antibodies are designed to detect microorganisms worldwide. The following industrial production of the rapid method will deliver a tool for winemakers and distributive traders to get a view inside the ongoing fermentation within twenty minutes by using a diagnostic dipstick. With the help of the antibody-based detection method the quality of the wine can be increased and economic risks can be minimized at the same time. |
Databáze: | OpenAIRE |
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