2011
DOI: 10.1007/s11947-011-0516-8
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Application of Mid-infrared and Raman Spectroscopy to the Study of Bacteria

Abstract: Infrared spectroscopy and Raman spectroscopy provide complementary technologies for rapid and precise detection of microorganisms and are emerging methods in food analysis. It is possible to use either of these techniques to differentiate and quantify microorganisms in relatively simple matrices such as liquid media and simple solutions with determinations taking less than an hour. Vibrational spectroscopy, unlike other techniques used in microbiology, is a relatively simple method for studying structural chan… Show more

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Cited by 204 publications
(127 citation statements)
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References 141 publications
(106 reference statements)
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“…Both infrared and Raman spectroscopy methods are forms of vibrational spectroscopy, and their spectral patterns for biological samples have shown good reproducibility and high discriminatory power (41)(42)(43)(44). In addition, these bioanalytical techniques are fast, reagentless, and easy to conduct.…”
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confidence: 99%
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“…Both infrared and Raman spectroscopy methods are forms of vibrational spectroscopy, and their spectral patterns for biological samples have shown good reproducibility and high discriminatory power (41)(42)(43)(44). In addition, these bioanalytical techniques are fast, reagentless, and easy to conduct.…”
mentioning
confidence: 99%
“…In addition, these bioanalytical techniques are fast, reagentless, and easy to conduct. Thus, they provide the unique advantage of differentiating taxonomic entities at the species or subspecies level on the basis of variations in the spectral features of bacterial cells (41). Since the two groundbreaking publications in Nature about the use of infrared spectroscopy (57) and Raman spectroscopy (61) to study microorganisms, these two techniques have been extensively employed to detect and discriminate different microorganisms and have been shown to be useful as real-time typing methods in bacterial epidemiology (3,7,33,34,36,37,48,49,59,60,65,77).…”
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“…The first three PCs can explain over 80% of segregation capability of either the cluster or dendrogram models (Figures 2 and 3) with the most significant features being associated with changes to protein secondary structure: amide I (1695 cm -1 ) [7,20,21]; α-helical structures (1655 cm ) [19]; CO stretching of the C-OH groups of serine, threonine and tyrosine in the cell proteins (1172/1173 cm -1 ) [19]. For carbohydrate, the band at 1430 cm -1 is assigned to δ (CH2) of polysaccharide [7,20,21], while the band at 1205 cm -1 is dominated by the ring vibrations of polysaccharides C-O-P, PO-P [22]. The band at 1469 cm -1 is derived from CH2 banding of the acyl chains from phospholipids [7,20,21].…”
Section: Loading Plot Analysismentioning
confidence: 99%
“…For carbohydrate, the band at 1430 cm -1 is assigned to δ (CH2) of polysaccharide [7,20,21], while the band at 1205 cm -1 is dominated by the ring vibrations of polysaccharides C-O-P, PO-P [22]. The band at 1469 cm -1 is derived from CH2 banding of the acyl chains from phospholipids [7,20,21]. The band at 1620 cm -1 is assigned to stretching base carbonyl and ring breathing mode of 11 nucleic acids [19], and 1592 cm -1 is assigned to C=N and NH2 in adenine [22].…”
Section: Loading Plot Analysismentioning
confidence: 99%