Detailed Information

Cited 23 time in webofscience Cited 23 time in scopus
Metadata Downloads

MALDI-MS-Based Quantitative Analysis for Ketone Containing Homoserine Lactones in Pseudomonas aeruginosa

Authors
Kim, Yoon-WooSung, ChangminLee, SeuleeKim, Kyoung-JinYang, Yung-HunKim, Byung-GeeLee, Yoo KyungRyu, Hee WookKim, Yun-Gon
Issue Date
20-Jan-2015
Publisher
AMER CHEMICAL SOC
Citation
ANALYTICAL CHEMISTRY, v.87, no.2, pp.858 - 863
Journal Title
ANALYTICAL CHEMISTRY
Volume
87
Number
2
Start Page
858
End Page
863
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/8820
DOI
10.1021/ac5039362
ISSN
0003-2700
Abstract
N-Acyl homoserine lactones (AHLs), quorum sensing molecules produced by Gram-negative bacteria, are used as important secondary metabolites for antibacterial drug development and cell-to-cell communication. Although various analytical techniques have been developed for detection and quantitation of AHLs from more complex bacterial culture media, only a few methods have been applied to AHL identification in physiological samples. Here, we developed a highly sensitive and reliable MALDI-based 3-oxo AHL quantitation method by employing Girards reagent T (GT) to produce a permanent cationic charge state [M]+ at the ketone group of AHLs. After extracting AHLs from the supernatant of bacterial cultures using ethyl acetate, the extracts were subsequently derivatized with GT without any additional purification or desalting steps. The chemical derivatization of 3-oxo AHLs dramatically enhanced sensitivity (up to 60 000 times) by lowering the limit of detection (LOD, similar to 0.5 fmol)/limit of quantitation (LOQ, similar to 2.5 fmol). Additionally, the GT-derivatized 3-oxo AHLs allowed more accurate quantitative analysis from the Pseudomonas aeruginosa PAO1 culture supernatants. This method may be applied for developing high-throughput and sensitive detection methods of quorum sensing signal molecules in biofilm-related clinical applications such as virulence factor characterization and antibacterial drug development.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Chemical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Yun Gon photo

Kim, Yun Gon
College of Engineering (Department of Chemical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE