中文(繁體)
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Cellular and Molecular Biology 2017-Feb

Identification of bacteria using volatile organic compounds.

只有註冊用戶可以翻譯文章
登陸註冊
鏈接已保存到剪貼板
N Karami
A Karimi
A Aliahmadi
F Mirzajan
H Rezadoost
A Ghassempour
F Fallah

關鍵詞

抽象

The rapid diagnosis of respiratory infections has always been an important goal for medical professionals, because rapid and accurate diagnosis leads to proper and timely treatment, and consequently, reduces the costs of incorrect and long-term treatments, and antibiotic resistance. The present study was conducted with the aim of detecting volatile organic compounds (VOCs) in three bacteria: Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae. Headspace of the studied bacteria, after separately culturing in two types of liquid medium in three different time-periods, was extracted by solid phase microextraction and analysed by gas chromatography mass spectrometry The analysis results of the VOCs produced by the studied bacteria indicate that some VOCs are common and some are unique in each bacterium. 1-penten-3-ol, levomenthol, and 2-octyl-1-ol for P. aeruginosa, cyclohexene, 4-ethenyl, and cis-Dihydro-α-terpinyl acetate for A. baumannii and 1,3-butadiene, butyraldehyde, longifolene, octyl acetate, tridecanol, dodecenal, (E)-2-hexyl ester, butanoic acid, and 5,5-dodecadinyl-1 12-diol for K. pneumoniae were identified as unique VOCs for each bacterium. Finally, it can be said that an accurate and rapid bacterial detection method can be achieved by using a tool that can detect bacterial VOCs. However, more studies are needed to design a tool for which all aspects have been assessed, so that it can give us a more complete pattern for the use of these compounds as biomarkers.

加入我們的臉書專頁

科學支持的最完整的草藥數據庫

  • 支持55種語言
  • 科學支持的草藥療法
  • 通過圖像識別草藥
  • 交互式GPS地圖-在位置標記草藥(即將推出)
  • 閱讀與您的搜索相關的科學出版物
  • 通過藥效搜索藥草
  • 組織您的興趣並及時了解新聞研究,臨床試驗和專利

輸入症狀或疾病,並閱讀可能有用的草藥,輸入草藥並查看其所針對的疾病和症狀。
*所有信息均基於已發表的科學研究

Google Play badgeApp Store badge