发酵
鉴定(生物学)
基质辅助激光解吸/电离
生物
吞吐量
生物多样性
食品科学
化学
植物
生态学
计算机科学
电信
吸附
解吸
有机化学
无线
作者
Susanne Miescher Schwenninger,Susette Freimüller Leischtfeld,Corinne Gantenbein-Demarchi
摘要
Microbial identification with MALDI-TOF MS has increased the number of samples that can be analysed in a given time, a prerequisite for high-throughput methods. This method is already widely used for the identification of clinical microbial isolates, whereas in food fermentation research, including cocoa bean fermentation, microbiota is mostly identified by time-consuming, biochemical-based phenotyping and molecular approaches. This study presents the use of MALDI-TOF MS for characterizing the microbial biodiversity of cocoa bean fermentation. The feasibility of MALDI-TOF MS identification of cocoa-specific microbiota has been shown with samples collected during on-site studies in two countries of origin, Bolivia and Brazil.
科研通智能强力驱动
Strongly Powered by AbleSci AI