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

The Analyst ◽  
2021 ◽  
Author(s):  
Najla AlMasoud ◽  
Howbeer Muhamadali ◽  
Malama Chisanga ◽  
Haitham AlRabiah ◽  
Cassio A. Lima ◽  
...  

This review compares and contrasts MALDI-MS, FT-IR spectroscopy and Raman spectroscopy for whole organism fingerprinting and bacterial typing.


2020 ◽  
Author(s):  
Huayan Yang ◽  
Fangling Wu ◽  
Fuxin Xu ◽  
Keqi Tang ◽  
Chuanfan Ding ◽  
...  

Abstract Fourier transform infrared (FT-IR) spectroscopy is a label-free and highly sensitive technique that provides complete information on the chemical composition of biological samples. The bacterial FT-IR signals are extremely specific and highly reproducible fingerprint-like patterns, making FT-IR an efficient tool for bacterial typing and identification. Due to the low cost and high flux, FT-IR has been widely used in hospital hygiene management for infection control, epidemiological studies, and routine bacterial determination of clinical laboratory values. However, the typing and identification accuracy could be affected by many factors, and the bacterial FT-IR data from different laboratories are usually not comparable. A standard protocol is required to improve the accuracy of FT-IR-based typing and identification. Here, we detail the principles and procedures of bacterial typing and identification based on FT-IR spectroscopy, including bacterial culture, sample preparation, instrument operation, spectra collection, spectra preprocessing, and mathematical data analysis. Without bacterial culture, a typical experiment generally takes <2 h.



2020 ◽  
Author(s):  
Huayan Yang ◽  
Fangling Wu ◽  
Fuxin Xu ◽  
Keqi Tang ◽  
Chuanfan Ding ◽  
...  

Abstract Fourier transform infrared (FT-IR) spectroscopy is a label-free and highly sensitive technique that provides complete information on the chemical composition of biological samples. The bacterial FT-IR signals are extremely specific and highly reproducible fingerprint-like patterns, making FT-IR an efficient tool for bacterial typing and identification. Due to the low cost and high flux, FT-IR has been widely used in hospital hygiene management for infection control, epidemiological studies, and routine bacterial determination of clinical laboratory values. However, the typing and identification accuracy could be affected by many factors, and the bacterial FT-IR data from different laboratories are usually not comparable. A standard protocol is required to improve the accuracy of FT-IR-based typing and identification. Here, we detail the principles and procedures of bacterial typing and identification based on FT-IR spectroscopy, including bacterial culture, sample preparation, instrument operation, spectra collection, spectra preprocessing, and mathematical data analysis. Without bacterial culture, a typical experiment generally takes <2 h.



2011 ◽  
Vol 77 (15) ◽  
pp. 5257-5269 ◽  
Author(s):  
Xiaonan Lu ◽  
Barbara A. Rasco ◽  
Jamie M. F. Jabal ◽  
D. Eric Aston ◽  
Mengshi Lin ◽  
...  

ABSTRACTFourier transform infrared (FT-IR) spectroscopy and Raman spectroscopy were used to study the cell injury and inactivation ofCampylobacter jejunifrom exposure to antioxidants from garlic.C. jejuniwas treated with various concentrations of garlic concentrate and garlic-derived organosulfur compounds in growth media and saline at 4, 22, and 35°C. The antimicrobial activities of the diallyl sulfides increased with the number of sulfur atoms (diallyl sulfide < diallyl disulfide < diallyl trisulfide). FT-IR spectroscopy confirmed that organosulfur compounds are responsible for the substantial antimicrobial activity of garlic, much greater than those of garlic phenolic compounds, as indicated by changes in the spectral features of proteins, lipids, and polysaccharides in the bacterial cell membranes. Confocal Raman microscopy (532-nm-gold-particle substrate) and Raman mapping of a single bacterium confirmed the intracellular uptake of sulfur and phenolic components. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) were employed to verify cell damage. Principal-component analysis (PCA), discriminant function analysis (DFA), and soft independent modeling of class analogs (SIMCA) were performed, and results were cross validated to differentiate bacteria based upon the degree of cell injury. Partial least-squares regression (PLSR) was employed to quantify and predict actual numbers of healthy and injured bacterial cells remaining following treatment. PLSR-based loading plots were investigated to further verify the changes in the cell membrane ofC. jejunitreated with organosulfur compounds. We demonstrated that bacterial injury and inactivation could be accurately investigated by complementary infrared and Raman spectroscopies using a chemical-based, “whole-organism fingerprint” with the aid of chemometrics and electron microscopy.





2008 ◽  
Vol 112 (20) ◽  
pp. 7710-7716 ◽  
Author(s):  
Weiguang Su ◽  
Jing Zhang ◽  
Zhaochi Feng ◽  
Tao Chen ◽  
Pinliang Ying ◽  
...  


2020 ◽  
Vol 74 (9) ◽  
pp. 1161-1166
Author(s):  
Sebastian Gies ◽  
Eva-Marie Schömann ◽  
Julia Anna Prume ◽  
Martin Koch

Accurate data on microplastic occurrence in aquatic and terrestrial ecosystems are a basic requirement for microplastic risk assessment and management. Existing analysis techniques like Raman spectroscopy and Fourier transform infrared (FT-IR) spectroscopy imaging are still time-consuming and depend on laborious sample preparation. Therefore, we investigate the potential of time-resolved photoluminescence spectroscopy as an alternative technique to identify plastic materials, and, for the first time determine the photoluminescence lifetime of a series of polymers and several non-plastic samples typically found in a marine environment. The obtained photoluminescence lifetimes can be used to distinguish between plastic and natural materials. Furthermore, they allow us to identify distinct types of plastics. Therefore, the described approach has the potential to identify materials either as a stand-alone technique or for pre-characterization of sample materials for otherwise time-consuming analytical methods such as Raman spectroscopy or FT-IR spectroscopy.







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