Classification of lactic acid bacteria with UV‐resonance Raman spectroscopy

Gaus, Katharina; Rösch, Petra; Petry, R.; Peschke, Klaus; Ronneberger, Olaf; Burkhardt, Hans; Baumann, Knut; Popp, Jürgen

doi:10.1002/bip.20448

Cited by 83 publications

(61 citation statements)

References 13 publications

(12 reference statements)

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“…74 Many biologically important molecules such as amino acids, [79][80][81] peptides, 82,83 and nucleotides, 84,85 produce highly selective resonance Raman effects. This allows for the characterization of complex materials relevant to BioPharma such as whole viruses and bacteria, [86][87][88] proteins, peptides, and bioprocess broths. 89 Another advantage of UVRRS, which contributes to increased sensitivity, is the avoidance of fluorescence when using DUV excitation.…”

Section: Raman Spectroscopymentioning

confidence: 99%

Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review

2017

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The production of active pharmaceutical ingredients (APIs) is currently undergoing its biggest transformation in a century. The changes are based on the rapid and dramatic introduction of protein-and macromolecule-based drugs (collectively known as biopharmaceuticals) and can be traced back to the huge investment in biomedical science (in particular in genomics and proteomics) that has been ongoing since the 1970s. Biopharmaceuticals (or biologics) are manufactured using biological-expression systems (such as mammalian, bacterial, insect cells, etc.) and have spawned a large (>E35 billion sales annually in Europe) and growing biopharmaceutical industry (BioPharma). The structural and chemical complexity of biologics, combined with the intricacy of cell-based manufacturing, imposes a huge analytical burden to correctly characterize and quantify both processes (upstream) and products (downstream). In small molecule manufacturing, advances in analytical and computational methods have been extensively exploited to generate process analytical technologies (PAT) that are now used for routine process control, leading to more efficient processes and safer medicines. In the analytical domain, biologic manufacturing is considerably behind and there is both a huge scope and need to produce relevant PAT tools with which to better control processes, and better characterize product macromolecules. Raman spectroscopy, a vibrational spectroscopy with a number of useful properties (nondestructive, non-contact, robustness) has significant potential advantages in BioPharma. Key among them are intrinsically high molecular specificity, the ability to measure in water, the requirement for minimal (or no) sample pre-treatment, the flexibility of sampling configurations, and suitability for automation. Here, we review and discuss a representative selection of the more important Raman applications in BioPharma (with particular emphasis on mammalian cell culture). The review shows that the properties of Raman have been successfully exploited to deliver unique and useful analytical solutions, particularly for online process monitoring. However, it also shows that its inherent susceptibility to fluorescence interference and the weakness of the Raman effect mean that it can never be a panacea. In particular, Raman-based methods are intrinsically limited by the chemical complexity and wide analyte-concentration-profiles of cell culture media/bioprocessing broths which limit their use for quantitative analysis. Nevertheless, with appropriate foreknowledge of these limitations and good experimental design, robust analytical methods can be produced. In addition, new technological developments such as time-resolved detectors, advanced lasers, and plasmonics offer potential of new Raman-based methods to resolve existing limitations and/or provide new analytical insights.

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Section: Raman Spectroscopymentioning

confidence: 99%

Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review

2017

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“…Bacillus Species [39] Lactic acid bacteria [40] Assignments 1007 m --Tryptophan [41] 1176 m 1172 1172 Tyrosine 1238 w 1247 1233 Guanine, adenine, tyrosine and uracil 1330 s 1324 1325 Guanine, adenine, tyrosine and uracil 1369 sh 1359 1356 Thymine and adenine 1483 s 1475 1480 Guanine and adenine [39] Thymine [39] in monocytes. The peak at 1225 cm −1 is not seen in the spectrum of the HeLa cells.…”

Section: Monocytes In Liquidmentioning

confidence: 99%

Visible, near‐infrared, and ultraviolet laser‐excited Raman spectroscopy of the monocytes/macrophages (U937) cells

Zinin

Misra

Kamemoto

et al. 2009

J Raman Spectroscopy

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Raman spectra of the monocytes were recorded with laser excitation at 532, 785, 830, and 244 nm. The measurements of the Raman spectra of monocytes excited with visible, near-infrared (NIR), and ultraviolet (UV) lasers lad to the following conclusions.(1) The Raman peak pattern of the monocytes can be easily distinguished from those of HeLa and yeast cells; (2) Positions of the Raman peaks of the dried cell are in coincidence with those of the monocytes in a culture cell media. However, the relative intensities of the peaks are changed: the peak centered around 1045 cm −1 is strongly intensified. (3) Raman spectra of the dead monocytes are similar to those of living cells with only one exception: the Raman peak centered around 1004 cm −1 associated with breathing mode of phenylalanine is strongly intensified. The Raman spectra of monocytes excited with 244-nm UV laser were measured on cells in a cell culture medium. A peak centered at 1485 cm −1 dominates the UV Raman spectra of monocytes. The ratio I 1574 /I 1613 for monocytes is found to be around 0.71. This number reflects the ratio between proteins and DNA content inside a cell and it is found to be twice as high as that of E. coli and 5 times as high as that of gram-positive bacteria. Copyright

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“…The relative insensitivity of this type of classifier to nonmarginal cases allows it to deal with high-dimensionality data with minimal overfitting and no need for dimensionality reduction as in linear discriminant analysis. SVM classifiers have previously been used to great effect in classifying lactic acid bacteria on the basis of Raman spectra (12). In the present case, each strain of yeast was treated as a separate class, for a total of 18 classes.…”

Section: Methodsmentioning

confidence: 99%

“…from peritonitis patients, which have been classified with 90% accuracy (11). Raman spectroscopy has been used to a lesser extent to differentiate species of food microorganisms, specifically, lactic acid bacteria found in yogurt, Lactobacillus acidophilus, L. delbrueckii, and Streptococcus thermophilus (12), and in kefir, L. kefir, L. parakefir, and L. brevis (13).…”

mentioning

confidence: 99%

Raman Spectroscopy and Chemometrics for Identification and Strain Discrimination of the Wine Spoilage Yeasts Saccharomyces cerevisiae, Zygosaccharomyces bailii, and Brettanomyces bruxellensis

Rodrı́guez

Thornton

2013

Appl Environ Microbiol

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The yeasts Zygosaccharomyces bailii, Dekkera bruxellensis (anamorph, Brettanomyces bruxellensis), and Saccharomyces cerevisiae are the major spoilage agents of finished wine. A novel method using Raman spectroscopy in combination with a chemometric classification tool has been developed for the identification of these yeast species and for strain discrimination of these yeasts. Raman spectra were collected for six strains of each of the yeasts Z. bailii, B. bruxellensis, and S. cerevisiae. The yeasts were classified with high sensitivity at the species level: 93.8% for Z. bailii, 92.3% for B. bruxellensis, and 98.6% for S. cerevisiae. Furthermore, we have demonstrated that it is possible to discriminate between strains of these species. These yeasts were classified at the strain level with an overall accuracy of 81.8%.

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Classification of lactic acid bacteria with UV‐resonance Raman spectroscopy

Cited by 83 publications

References 13 publications

Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review

Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review

Visible, near‐infrared, and ultraviolet laser‐excited Raman spectroscopy of the monocytes/macrophages (U937) cells

Raman Spectroscopy and Chemometrics for Identification and Strain Discrimination of the Wine Spoilage Yeasts Saccharomyces cerevisiae, Zygosaccharomyces bailii, and Brettanomyces bruxellensis

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