2010
DOI: 10.1186/1471-2180-10-322
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MicroDSC study of Staphylococcus epidermidis growth

Abstract: BackgroundA microcalorimetric study was carried out using a Staphylococcus epidermidis population to determine the reproducibility of bacterial growth and the variability of the results within certain experimental parameters (temperature, bacterial concentration, sample thermal history). Reproducibility tests were performed as series of experiments within the same conditions using either freshly prepared populations or samples kept in cold storage. In both cases, the samples were obtained by serial dilution fr… Show more

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Cited by 13 publications
(13 citation statements)
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“…All thermograms were processed as previously described [7,16,17] with baseline and time correction, thus eliminating the initial thermal perturbations and adjusting all experiments to a zero time reference. The baseline was calculated and subsequently subtracted using either Calisto software v1.077 (AKTS) and/or Peakfit v4.12 (SYSTAT).…”
Section: Resultsmentioning
confidence: 99%
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“…All thermograms were processed as previously described [7,16,17] with baseline and time correction, thus eliminating the initial thermal perturbations and adjusting all experiments to a zero time reference. The baseline was calculated and subsequently subtracted using either Calisto software v1.077 (AKTS) and/or Peakfit v4.12 (SYSTAT).…”
Section: Resultsmentioning
confidence: 99%
“…To this purpose we have studied samples kept in cold storage, proven to yield better microcalorimetric reproducibility when working with single channel calorimeters, as shown in our previous paper [7]. Moreover, the present research aims to illustrate the most relevant parameters that can be used for the systematic classification of the growth patterns.…”
Section: Introductionmentioning
confidence: 97%
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“…Some authors rely on a simple and descriptive approach [52,53]. In this approach some easily accessible curve parameters are extracted from the power time curve without need for further calculation.…”
Section: Descriptive Predictive and Comparative Approachesmentioning
confidence: 99%
“…In the medical field, this method is very interesting due to the fast-growing nature of microorganisms and the resultant amount of heat that is soon produced [4]. In the last few years, it has been used to study the rapid detection of bacterial growth under different conditions [6][7][8][9] or microbial contamination [10][11][12]. Also, it has been employed to determine inhibitory effects and/or the minimal inhibitory concentration for different antimicrobial substances [13][14][15][16] and antibiotics [17][18][19] in a few hours.…”
Section: Introductionmentioning
confidence: 99%