The strategy for correcting interference from water in Fourier transform infrared spectrum based bacterial typing

Shi, Haimei; Sun, Jiejie; Han, Renru; Ding, Chuan‐Fan; Hu, Fupin; Yu, Shaoning

doi:10.1016/j.talanta.2019.120347

Cited by 22 publications

(18 citation statements)

References 21 publications

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“…This is important, as the relative amplitudes of these bands is what gives this multiplet of peaks subtle, but very reproducible, band shapes for differentiating species. The polysaccharide and nucleic acid region (900-1200 cm -1 ) is the only region that is not disturbed by H 2 O under certain conditions 17,22 . The typing results based on this region are much better than with any other region or combination of regions 18 .…”

Section: Spectra Preprocessingmentioning

confidence: 97%

Bacterial Typing and Identification Based on Fourier Transform Infrared Spectroscopy

Yang

et al. 2020

Preprint

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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.

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Section: Spectra Preprocessingmentioning

confidence: 97%

Bacterial Typing and Identification Based on Fourier Transform Infrared Spectroscopy

Yang

et al. 2020

Preprint

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“…This is important, as the relative amplitudes of these bands is what gives this multiplet of peaks subtle, but very reproducible, band 10 shapes for differentiating species. The polysaccharide and nucleic acid region (900-1200 cm -1 ) is the only region that is not disturbed by H 2 O under certain conditions 17,22 . The typing results based on this region are much better than with any other region or combination of regions 18 .…”

Section: [1]mentioning

confidence: 97%

“…The bacterial FT-IR signals are disturbed by the unavoidable absorbance of H 2 O, which resides in bacteria and the external environment 17,22 . The effect of water on FT-IR bacterial typing was investigated, with elimination of the protein and lipid region greatly increasing the accuracy of bacterial typing.…”

Section: Overviewmentioning

confidence: 99%

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Bacterial Typing and Identification Based on Fourier Transform Infrared Spectroscopy

Yang

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

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.

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“…However, the FT-IR signals of bacteria are disturbed by the absorbance of water from aqueous systems. According to Shi et al (2020), the polysaccharide and nucleic acid region (900-1 200 cm -1 ) are the most reliable for bacterial typing as the absorbance of water has little impact on those regions (Shi et al 2020). Another possibility is to remove water absorption bands completely by employing an attenuated https://doi.org/10.17221/69/2021-CJFS total reflectance technique using a diamond or zinc selenide crystal (Parikh et al 2014;Quintelas et al 2018).…”

Section: Infrared Spectroscopymentioning

confidence: 99%

Instrumental analytical tools for mycobacteria characterisation

Ozana¹,

Hruška²

2021

Czech J. Food Sci.

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Mycobacteria in drinking water and in the water of swimming pools, whirlpools, hydrotherapy facilities and aquaria contribute significantly to human exposure to triggers of immune regulated chronic inflammatory and autoimmune diseases. Technological elements of water distribution systems, especially their inner surface, taps, shower heads and blind spots where sediments settle, affect the number of mycobacteria in the water. The review presents the possibilities of using analytical instruments for rapid determination of mycobacteria and for their typing as an alternative to classical culture and a method of monitoring specific nucleic acid sequences by polymerase chain reaction (PCR). Information about the use of flow cytometry (FCM), matrix-assisted laser desorption ionisation time-of-flight (MALDI-TOF) spectrometry, Raman and infrared (IR) spectroscopy and biosensors are presented.

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The strategy for correcting interference from water in Fourier transform infrared spectrum based bacterial typing

Cited by 22 publications

References 21 publications

Bacterial Typing and Identification Based on Fourier Transform Infrared Spectroscopy

Bacterial Typing and Identification Based on Fourier Transform Infrared Spectroscopy

Bacterial Typing and Identification Based on Fourier Transform Infrared Spectroscopy

Instrumental analytical tools for mycobacteria characterisation

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