FTIR microscopy as a method for identification of bacterial and fungal infections

Erukhimovitch, Vitaly; Pavlov, Valentina; Talyshinsky, Marina; Souprun, Yelena; Huleihel, Mahmoud

doi:10.1016/j.jpba.2004.08.010

Cited by 94 publications

(68 citation statements)

References 25 publications

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“…1(a, b), FT-IR spectra are shown in the region 3500-400 cm −1 for fresh dried samples of six strains grown in LB medium. These spectra are typical of bacteria and have been assigned previously [33]. They exhibit major bands at around 2900 cm −1 (C-H stretch), 1648 cm −1 (amide I; mainly C=O stretch), 1548 cm −1 (amide II; N-H bend and C-N stretch), 1456 cm −1 (C-H bend), 1400 cm −1 (partially due to a symmetric stretch of the carboxylate ions), 1235 cm −1 (P=O asymmetric stretch, C−O−C stretch, and amide III (C-N bend and N-H stretch)), and the 1150-900 cm −1 region, referred to below as the PS band (P=O symmetric stretch, C-C and C-O stretch).…”

Section: Ft-ir Spectroscopy Of Fresh and Stored Dried Duwl Samplessupporting

confidence: 56%

“…The advantages of this system are minimal sample preparation, rapidity, automated, accurate, in expensive and quantitative. The absorbance spectrum generated by FT-IR contained valuable information about the chemical composition of these bacteria [33]. FT-IR spectroscopy has been demonstrated to be an effective tool to record the infrared spectrum of whole cells, such as bacteria in a film, or even, the spectrum of a single cell [29].…”

Section: Ft-ir Spectroscopy Of Fresh and Stored Dried Duwl Samplesmentioning

confidence: 99%

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Fourier transform infrared spectroscopy of dental unit water line biofilm bacteria

Liaqat

2009

Spectroscopy

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Abstract. Fourier transform-infrared (FT-IR) spectroscopy has become an important tool for rapid analysis of complex biological samples. The infrared absorbance spectrum could be regarded as a "fingerprint" which is a feature of biochemical substances. The FT-IR spectra of fresh and stored dried samples of six bacterial isolates (Klebsiella sp., Bacillus cereus, Bacillus subtilis, Pseudomonas aeruginosa, Achromobacter xylosoxidans and Achromobacter sp.) were observed by variation in sample preparation. The results indicated that variation in sample preparation did not affect the spectra of isolates. However, less promiment/absence of a small shoulder peak at 1738 cm −1 was evident in fresh dried samples of Achromobacter sp. andA. xylosoxidans compared to prominent and broad shoulder band at 1724 cm −1 in stored dried samples of these two isolates. In addition to the established KBr pellet technique, attenuated total reflectance (ATR) spectroscopy was used to analyse the spectra of planktonic growth (−80 • C liquid cultures) and biofilm growth of six isolates. ATR spectroscopy of −80• C planktonic and biofilm growth showed variation in absorption spectra in fingerprint (1200-900 cm −1 ) region. Two clear absorption bands were prominent in biofilm at 1175 and 1143 cm −1 whereas, one prominent broad band at 1075 cm −1 resulting from the overlapping of two band was noted in planktonic cultures. Biofilm forming capability of the six isolates was also determined by acridine orange staining method. The microscopic analysis of biofilms formed on glass slides revealed the presence of a matrix of exopolysaccharides and microcolonies typical of biofilm architecture. Maximum biofilm formation was observed after 175 h in P. aeruginosa and Klebsiella sp.

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Section: Ft-ir Spectroscopy Of Fresh and Stored Dried Duwl Samplessupporting

confidence: 56%

Section: Ft-ir Spectroscopy Of Fresh and Stored Dried Duwl Samplesmentioning

confidence: 99%

Fourier transform infrared spectroscopy of dental unit water line biofilm bacteria

Liaqat

2009

Spectroscopy

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“…3b), ruling out a disruption of the printing support that could have resulted from the repeated pressing typical of Maki's technique. The spectrum of the white filaments reveals glycoprotein bands comparable to previous studies reported for fungal mycelia [7][8][9]. The bands at 1643, 1545, 1452 cm −1 were attributed to protein amide I, II and III.…”

Section: White Hazesupporting

confidence: 83%

Characterization of Haku Maki prints from the “Poem” series using light-based techniques

2016

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Four brightly colored calligraphic prints from the "Poem" series (1970/71) by Japanese artist Haku Maki (1924Maki ( -2000 were examined using multiple light-based analytical techniques in an effort to address conservation concerns regarding these artworks. A distracting white haze on the surface of some of the prints was determined by light microscopy and infrared microanalysis to be fungal mycelium from an inactive mold infestation that occurred prior to the artwork's acquisition by the museum. Pigment analysis by Raman, X-ray fluorescence, and infrared microspectroscopies identified the artist's palette as containing common printing ink colors such as aniline black (PBk1), carbon black (PBk7), phthalocyanine blue (PB15), Prussian blue (PB27), ultramarine blue (PB29), molybdate orange (PR104), chrome yellow (PY34), barium yellow (PY31), viridian (PG17), barium sulphate (PW21), and synthetic organic red pigments (PR3, PR22, PR48:3). Although aniline black and molybdate orange are common industrial pigments, reference vibrational spectra to assist in their identification have not appeared previously in the conservation literature. Moreover, this investigation includes to the authors' knowledge the first published identification of these pigments in a work of fine art. Haku Maki's unique 'cement-on-woodblock' printing technique in combination with his vibrant palette creates dynamic, embossed effects in these prints. However, lightfastness testing using a microfade tester identified the potential for light-based damage to the artwork, in some instances showing poorer lightfastness for colors reported to be stable pigments and greater stability than anticipated for others. These analyses are the first objective study of this innovative artist's material choices, and they enhance our understanding of his printing technique while helping to determine the proper stewardship protocols to protect his artistic legacy.

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“…The band at 1747 cm −1 was identified as the C O vibration of carboxylic groups, which is derived primarily from the ester linkage of fatty aliphatic monocarboxylic acids [31,32]. Amide bands were found at 1642 cm −1 (amide I band), 1537 cm −1 (amide II band), [30,33]. Symmetric and asymmetric stretching vibrations of P O in nucleic acids were identified at 1040 and 1232 cm −1 [31].…”

Section: Surface Characteristics Of P Oxalicum Biomassmentioning

confidence: 99%

Binding mechanisms and QSAR modeling of aromatic pollutant biosorption on Penicillium oxalicum biomass

Wei

Huang

Yang

et al. 2011

Chemical Engineering Journal

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a b s t r a c tThe biosorption of eight aromatic compounds with different functional groups by Penicillium oxalicum biomass were investigated. The affinity of the biomass for the eight compounds at pH 6.0 follows the following trend: 1-naphthalenamine > naphthol > benzoic acid > p-toluidine > p-cresol > p-toluic acid > phenol > p-toluenesulfonic acid. Biomass surface was characterized, and it was found that four discrete binding sites, corresponding to carboxyl (pK a = 4.0), phosphoric (pK a = 7.0), amine (pK a = 8.8), and hydroxyl groups (pK a = 10.0), were identified on the biomass surface by using the linear programming method (LPM) for the fitting of the titration data and FTIR analysis. The carboxyl and amine groups dominate the biomass surface sites, which might have played an important role in biosorption of organic compounds. Furthermore, the compounds were divided into two groups based on the calculation of ionization degree for toluene derivatives and the comparison on the number of benzene rings for barely ionized compounds. It was found that low ionization degree and high hydrophobicity favor the biosorption for the two groups, respectively. Moreover, a R 2 adj of 0.724 between the log of Freundlich coefficient (log K f ) and log Kow indicated that the hydrophobicity plays role in the sorption of eight organic compounds. The QSAR model with one variable was developed for the first time between log K f and polar surface area (PSA) to predict the biosorption behaviors of organic compounds (R 2 adj = 0.960) except for ptoluenesulfonic acid (with pK a < 0), which also supported the electrostatic attraction and hydrophobicity mechanisms.

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FTIR microscopy as a method for identification of bacterial and fungal infections

Cited by 94 publications

References 25 publications

Fourier transform infrared spectroscopy of dental unit water line biofilm bacteria

Fourier transform infrared spectroscopy of dental unit water line biofilm bacteria

Characterization of Haku Maki prints from the “Poem” series using light-based techniques

Binding mechanisms and QSAR modeling of aromatic pollutant biosorption on Penicillium oxalicum biomass

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