MALDI-TOF MS-Based Identification of Bacteria and a Survey of Fresh Vegetables with Pathogenic Bacteria in Beijing, China

2020 ◽  
pp. 100746
Author(s):  
Xiaomin Xu ◽  
Guangyang Liu ◽  
Xiaodong Huang ◽  
Lingyun Li ◽  
Huan Lin ◽  
...  
Meat Science ◽  
2021 ◽  
pp. 108508
Author(s):  
Mohammed Altakhis ◽  
Christopher J. Pillidge ◽  
A. Mark Osborn ◽  
Peter J. Torley ◽  
Mandeep Kaur

2018 ◽  
Vol 185 (12) ◽  
Author(s):  
Jia Yi ◽  
Qin Qin ◽  
Yan Wang ◽  
Rutan Zhang ◽  
Hongyan Bi ◽  
...  

Author(s):  
Encarna Velázquez ◽  
Esther Menéndez ◽  
Fernando Sánchez Juanes ◽  
Noemí Valencia Daza ◽  
Juan Pérez Yépez ◽  
...  

2013 ◽  
Vol 2 (3) ◽  
pp. 104 ◽  
Author(s):  
Yuko Furukawa ◽  
Mitsuru Katase ◽  
Kazunobu Tsumura

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has recently been demonstrated as a rapid and reliable method for identifying bacteria in colonies grown on culture plates. Rapid identification of food spoilage bacteria is important for ensuring the quality and safety of food. To shorten the time of analysis, several researchers have proposed the direct MALDI-TOF MS tequnics for identification of bacteria in clinical samples such as urine and positive blood cultures. In this study, processed soybean products (total 26 test samples) were initially conducted a culture enrichiment step and bacterial cells were separated from interfering components. Harvested bacterial cells were determined by MALDI-TOF MS and 16S rRNA gene sequencing method. Six processed soybean products (23%) were increased bacterial cells after culture enrichiment step and they were sucessfully obtained the accurate identification results by MALDI-TOF MS-based method without colony formation.


2020 ◽  
Vol 592 ◽  
pp. 113582 ◽  
Author(s):  
Wenjing Yan ◽  
Jing Qian ◽  
Yongjie Ge ◽  
Keping Ye ◽  
Cunshan Zhou ◽  
...  

2013 ◽  
Vol 70 (4) ◽  
pp. 149-155 ◽  
Author(s):  
J.D. Haigh ◽  
I.M. Green ◽  
D. Ball ◽  
M. Eydmann ◽  
M. Millar ◽  
...  

2018 ◽  
Vol 67 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Souheyla Toubal ◽  
Ouahiba Bouchenak ◽  
Djillali Elhaddad ◽  
Karima Yahiaoui ◽  
Sarah Boumaza ◽  
...  

Any plant with a vascular system has a specific endophytic microflora. The identification of bacteria is essential in plant pathology. Although identification methods are effective, they are costly and time consuming. The purpose of this work is to isolate and to identify the different bacteria from the internal tissues of Urtica dioica L. and to study their diversity. This last is based on the different parts of the plant (stems, leaves and roots) and the harvest regions (Dellys and Tlamcen). The identification of bacteria is done by biochemical tests and confirmed by MALDI-TOF MS. Seven genus and eleven species were isolated from the Great Nettle. They belong to the genera Bacillus, Escherichia, Pantoea, Enterobacter, Staphylococcus, Enterococcus and Paenibacillus. The majority of these bacteria were isolated from Tlemcen which makes this region the richest in endophytic bacteria compared to that harvested from Dellys. The results show also that the leaves are the most diversified in endophytic bacteria. Bacillus pumilus-ME is the common species of the three parts of the plant harvested in both regions. From this work, it emerges that the Great Nettle can be settled by various endophytic bacteria which are differently distributed within the same plant harvested in different regions.


2021 ◽  
Author(s):  
Natalija Topić Popović ◽  
Snježana P. Kazazić ◽  
Krunoslav Bojanić ◽  
Ivančica Strunjak‐Perović ◽  
Rozelindra Čož‐Rakovac

Sign in / Sign up

Export Citation Format

Share Document