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Monitoring of Water Spectral Pattern Reveals Differences in Probiotics Growth When Used for Rapid Bacteria Selection.

Slavchev A, Kovacs Z, Koshiba H, Nagai A, Bázár G, Krastanov A, Kubota Y, Tsenkova R - PLoS ONE (2015)

Bottom Line: The acquired spectral data in the region of 1100-1850nm was subjected to various multivariate data analyses - PCA, OPLS-DA, PLSR.The results showed high accuracy of bacteria strains classification according to their probiotic strength.Most informative spectral fingerprints covered the first overtone of water, emphasizing the relation of water molecular system to cell functionality.

View Article: PubMed Central - PubMed

Affiliation: Kobe University, Graduate School of Agricultural Science, Biomeasurement Technology Laboratory, 1-1 Rokkodai, Nada-ku, Kobe 657-8501, Japan; University of Food Technologies, Department of Microbiology, 26 "Maritza" Blvd., 4002 Plovdiv, Bulgaria.

ABSTRACT
Development of efficient screening method coupled with cell functionality evaluation is highly needed in contemporary microbiology. The presented novel concept and fast non-destructive method brings in to play the water spectral pattern of the solution as a molecular fingerprint of the cell culture system. To elucidate the concept, NIR spectroscopy with Aquaphotomics were applied to monitor the growth of sixteen Lactobacillus bulgaricus one Lactobacillus pentosus and one Lactobacillus gasseri bacteria strains. Their growth rate, maximal optical density, low pH and bile tolerances were measured and further used as a reference data for analysis of the simultaneously acquired spectral data. The acquired spectral data in the region of 1100-1850nm was subjected to various multivariate data analyses - PCA, OPLS-DA, PLSR. The results showed high accuracy of bacteria strains classification according to their probiotic strength. Most informative spectral fingerprints covered the first overtone of water, emphasizing the relation of water molecular system to cell functionality.

No MeSH data available.


Related in: MedlinePlus

Aquagram on the spectra of culture media of groups of probiotic, moderate and non-probiotic strains.Averaged values of normalized absorbance values of the water matrix coordinates for every group are plotted on each axis. Results were calculated on spectral data obtained between 11.4–12 h.
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pone.0130698.g005: Aquagram on the spectra of culture media of groups of probiotic, moderate and non-probiotic strains.Averaged values of normalized absorbance values of the water matrix coordinates for every group are plotted on each axis. Results were calculated on spectral data obtained between 11.4–12 h.

Mentions: In the aquagram (Fig 5) the three groups showed biggest differences in the absorbance values in the region of 1365–1426 nm, where the group of probiotic bacteria have biggest absorbance. In the region of 1440–1462 nm the groups of probiotic and non-probiotic bacteria show similar patterns. The group of the strains with moderate scores (Table 1) absorb the best in the region of 1476–1512 nm.


Monitoring of Water Spectral Pattern Reveals Differences in Probiotics Growth When Used for Rapid Bacteria Selection.

Slavchev A, Kovacs Z, Koshiba H, Nagai A, Bázár G, Krastanov A, Kubota Y, Tsenkova R - PLoS ONE (2015)

Aquagram on the spectra of culture media of groups of probiotic, moderate and non-probiotic strains.Averaged values of normalized absorbance values of the water matrix coordinates for every group are plotted on each axis. Results were calculated on spectral data obtained between 11.4–12 h.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4489812&req=5

pone.0130698.g005: Aquagram on the spectra of culture media of groups of probiotic, moderate and non-probiotic strains.Averaged values of normalized absorbance values of the water matrix coordinates for every group are plotted on each axis. Results were calculated on spectral data obtained between 11.4–12 h.
Mentions: In the aquagram (Fig 5) the three groups showed biggest differences in the absorbance values in the region of 1365–1426 nm, where the group of probiotic bacteria have biggest absorbance. In the region of 1440–1462 nm the groups of probiotic and non-probiotic bacteria show similar patterns. The group of the strains with moderate scores (Table 1) absorb the best in the region of 1476–1512 nm.

Bottom Line: The acquired spectral data in the region of 1100-1850nm was subjected to various multivariate data analyses - PCA, OPLS-DA, PLSR.The results showed high accuracy of bacteria strains classification according to their probiotic strength.Most informative spectral fingerprints covered the first overtone of water, emphasizing the relation of water molecular system to cell functionality.

View Article: PubMed Central - PubMed

Affiliation: Kobe University, Graduate School of Agricultural Science, Biomeasurement Technology Laboratory, 1-1 Rokkodai, Nada-ku, Kobe 657-8501, Japan; University of Food Technologies, Department of Microbiology, 26 "Maritza" Blvd., 4002 Plovdiv, Bulgaria.

ABSTRACT
Development of efficient screening method coupled with cell functionality evaluation is highly needed in contemporary microbiology. The presented novel concept and fast non-destructive method brings in to play the water spectral pattern of the solution as a molecular fingerprint of the cell culture system. To elucidate the concept, NIR spectroscopy with Aquaphotomics were applied to monitor the growth of sixteen Lactobacillus bulgaricus one Lactobacillus pentosus and one Lactobacillus gasseri bacteria strains. Their growth rate, maximal optical density, low pH and bile tolerances were measured and further used as a reference data for analysis of the simultaneously acquired spectral data. The acquired spectral data in the region of 1100-1850nm was subjected to various multivariate data analyses - PCA, OPLS-DA, PLSR. The results showed high accuracy of bacteria strains classification according to their probiotic strength. Most informative spectral fingerprints covered the first overtone of water, emphasizing the relation of water molecular system to cell functionality.

No MeSH data available.


Related in: MedlinePlus