Literature DB >> 33295358

Discrimination of bacteria using whole organism fingerprinting: the utility of modern physicochemical techniques for bacterial typing.

Najla AlMasoud1, Howbeer Muhamadali, Malama Chisanga, Haitham AlRabiah, Cassio A Lima, Royston Goodacre.   

Abstract

Rapid and accurate classification and discrimination of bacteria is an important task and has been highlighted recently for rapid diagnostics using real-time results. Coupled with a recent report by Jim O'Neill [] that if left unaddressed antimicrobial resistance (AMR) in bacteria could kill 10 million people per year by 2050, which would surpass current cancer mortality, this further highlights the need for unequivocal identification of microorganisms. Whilst traditional microbiological testing has offered insights into the characterisation and identification of a wide range of bacteria, these approaches have proven to be laborious and time-consuming and are not really fit for purpose, considering the modern day speed and volume of international travel and the opportunities it creates for the spread of pathogens globally. To overcome these disadvantages, modern analytical methods, such as mass spectrometry (MS) and vibrational spectroscopy, that analyse the whole organism, have emerged as essential alternative approaches. Currently within clinical microbiology laboratories, matrix assisted laser desorption ionisation (MALDI)-MS is the method of choice for bacterial identification. This is largely down to its robust analysis as it largely measures the ribosomes which are always present irrespective of how the bacteria are cultured. However, MALDI-MS requires large amounts of biomass and infrared spectroscopy and Raman spectroscopy are attractive alternatives as these physicochemical bioanalytical techniques have the advantages of being rapid, reliable and cost-effective for analysing various types of bacterial samples, even at the single cell level. In this review, we discuss the fundamental applications, advantages and disadvantages of modern analytical techniques used for bacterial characterisation, classification and identification.

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Year:  2020        PMID: 33295358     DOI: 10.1039/d0an01482f

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  7 in total

1.  Simultaneous Raman and Infrared Spectroscopy of Stable Isotope Labelled Escherichia coli.

Authors:  Cassio Lima; Howbeer Muhamadali; Royston Goodacre
Journal:  Sensors (Basel)       Date:  2022-05-22       Impact factor: 3.847

2.  Detection of multi-resistant clinical strains of E. coli with Raman spectroscopy.

Authors:  Amir Nakar; Aikaterini Pistiki; Oleg Ryabchykov; Thomas Bocklitz; Petra Rösch; Jürgen Popp
Journal:  Anal Bioanal Chem       Date:  2022-01-04       Impact factor: 4.142

3.  Identification of antibiotic resistance and virulence-encoding factors in Klebsiella pneumoniae by Raman spectroscopy and deep learning.

Authors:  Jiayue Lu; Jifan Chen; Congcong Liu; Yu Zeng; Qiaoling Sun; Jiaping Li; Zhangqi Shen; Sheng Chen; Rong Zhang
Journal:  Microb Biotechnol       Date:  2021-11-29       Impact factor: 5.813

4.  Rapid, label-free pathogen identification system for multidrug-resistant bacterial wound infection detection on military members in the battlefield.

Authors:  Ying Chen; Julie Chau; Jung Yoon; Jeanne Hladky
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.752

5.  Simultaneous Raman and infrared spectroscopy: a novel combination for studying bacterial infections at the single cell level.

Authors:  Cassio Lima; Shwan Ahmed; Yun Xu; Howbeer Muhamadali; Christopher Parry; Rachel J McGalliard; Enitan D Carrol; Royston Goodacre
Journal:  Chem Sci       Date:  2022-06-29       Impact factor: 9.969

6.  Differentiation of otitis media-causing bacteria and biofilms via Raman spectroscopy and optical coherence tomography.

Authors:  Andrea K Locke; Farzana R Zaki; Sean T Fitzgerald; Kavya Sudhir; Guillermo L Monroy; Honggu Choi; Jungeun Won; Anita Mahadevan-Jansen; Stephen A Boppart
Journal:  Front Cell Infect Microbiol       Date:  2022-08-10       Impact factor: 6.073

7.  Discrimination between Carbapenem-Resistant and Carbapenem-Sensitive Klebsiella pneumoniae Strains through Computational Analysis of Surface-Enhanced Raman Spectra: a Pilot Study.

Authors:  Wei Liu; Jia-Wei Tang; Jing-Wen Lyu; Jun-Jiao Wang; Ya-Cheng Pan; Xin-Yi Shi; Qing-Hua Liu; Xiao Zhang; Bing Gu; Liang Wang
Journal:  Microbiol Spectr       Date:  2022-02-02
  7 in total

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