Heat-Transfer Method (HTM): A Thermal Analysis Technique for the Real-Time Monitoring of Staphylococcus aureus Growth in Buffered Solutions and Digestate Samples

: The identification and quantification of microorganisms in water samples is crucial to improve processes in organic waste treatment facilities. Most of the currently available tests are either labour-intense or costly, and they do not allow determination of the dynamics within microbial communities in digestate samples. This study is the first report on the use of thermal analysis, specifically the Heat Transfer Method (HTM), to monitor microbial load in aqueous systems and digestate samples. Staphylococcus aureus was used as a model organism and different concentrations in water were measured by HTM. It was demonstrated that there was a positive correlation between the thermal resistance and concentration of the bacterial cells. Subsequently, the influence of temperature on growth rates was studied and confirmed by plating experiments and Scanning Electron Microscopy (SEM). These results showed the possibility to monitor the temperature dependent growth of S. aureus using HTM. To determine if this technique can be applied for studying complex matrices, digestate single colonies were characterised and identified by sequencing of DNA regions for 16S ribosomal RNA. HTM measurements were performed in diluted or centrifuged digestate samples that were enriched with S. aureus. The results indicated that it is possible to evaluate microbial load even in samples containing other organic material. The thermal analysis method has the potential to provide a low-cost monitoring option, which is simple to use and provides real-time analysis, thus improving the existing monitoring procedures in organic waste treatment facilities.

[1]  C. Banks,et al.  Real-time analysis of microbial growth by means of the Heat-Transfer Method (HTM) using Saccharomyces cerevisiae as model organism , 2018, Physics in Medicine.

[2]  C. McGoverin,et al.  Near real-time enumeration of live and dead bacteria using a fibre-based spectroscopic device , 2018, Scientific Reports.

[3]  Christopher W. Foster,et al.  Introducing Thermal Wave Transport Analysis (TWTA): A Thermal Technique for Dopamine Detection by Screen-Printed Electrodes Functionalized with Molecularly Imprinted Polymer (MIP) Particles , 2016, Molecules.

[4]  M. Lever,et al.  Diversity of Methane-Cycling Archaea in Hydrothermal Sediment Investigated by General and Group-Specific PCR Primers , 2014, Applied and Environmental Microbiology.

[5]  Marloes Peeters,et al.  The heat-transfer method: a versatile low-cost, label-free, fast, and user-friendly readout platform for biosensor applications. , 2014, ACS applied materials & interfaces.

[6]  Gong Aijun,et al.  Solid state fermentation of biogas residues for production of Bacillus thuringiensis based bio-pesticide , 2013 .

[7]  Marloes Peeters,et al.  Optimizing the Thermal Read-Out Technique for MIP-Based Biomimetic Sensors: Towards Nanomolar Detection Limits , 2013, Sensors.

[8]  C. Manaia,et al.  Antibiotic resistance, antimicrobial residues and bacterial community composition in urban wastewater. , 2013, Water research.

[9]  L. Masson,et al.  Biological and Physicochemical Wastewater Treatment Processes Reduce the Prevalence of Virulent Escherichia coli , 2012, Applied and Environmental Microbiology.

[10]  L. Rahme,et al.  A method for high throughput determination of viable bacteria cell counts in 96-well plates , 2012, BMC Microbiology.

[11]  Mariana Fittipaldi,et al.  Progress in understanding preferential detection of live cells using viability dyes in combination with DNA amplification. , 2012, Journal of microbiological methods.

[12]  Gergely Maróti,et al.  Characterization of a biogas-producing microbial community by short-read next generation DNA sequencing , 2012, Biotechnology for Biofuels.

[13]  Ken Haenen,et al.  Heat-transfer resistance at solid-liquid interfaces: a tool for the detection of single-nucleotide polymorphisms in DNA. , 2012, ACS nano.

[14]  Byoung-In Sang,et al.  Correlation between microbial community structure and biofouling in a laboratory scale membrane bioreactor with synthetic wastewater , 2012 .

[15]  Tong Zhang,et al.  Plasmid Metagenome Reveals High Levels of Antibiotic Resistance Genes and Mobile Genetic Elements in Activated Sludge , 2011, PloS one.

[16]  Irina Dana Ofiteru,et al.  Combined niche and neutral effects in a microbial wastewater treatment community , 2010, Proceedings of the National Academy of Sciences.

[17]  R. Harshey,et al.  Cell density and mobility protect swarming bacteria against antibiotics , 2010, Proceedings of the National Academy of Sciences.

[18]  R. Field,et al.  Quantitative real-time PCR analysis of total and propidium monoazide-resistant fecal indicator bacteria in wastewater. , 2009, Water research.

[19]  F. Baquero,et al.  Antibiotics and antibiotic resistance in water environments. , 2008, Current opinion in biotechnology.

[20]  Diana S. Aga,et al.  Potential Ecological and Human Health Impacts of Antibiotics and Antibiotic-Resistant Bacteria from Wastewater Treatment Plants , 2007, Journal of toxicology and environmental health. Part B, Critical reviews.

[21]  A. Achilleos,et al.  Analytical methods for tracing pharmaceutical residues in water and wastewater , 2007 .

[22]  K Bernaerts,et al.  Influence of pH, water activity and acetic acid concentration on Listeria monocytogenes at 7 degrees C: data collection for the development of a growth/no growth model. , 2007, International journal of food microbiology.

[23]  J. Harel,et al.  Optimization of microbial DNA extraction and purification from raw wastewater samples for downstream pathogen detection by microarrays. , 2005, Journal of microbiological methods.

[24]  Samuel V. Angiuoli,et al.  Insights on Evolution of Virulence and Resistance from the Complete Genome Analysis of an Early Methicillin-Resistant Staphylococcus aureus Strain and a Biofilm-Producing Methicillin-Resistant Staphylococcus epidermidis Strain , 2005, Journal of bacteriology.

[25]  V. Mikhailov,et al.  Kocuria marina sp. nov., a novel actinobacterium isolated from marine sediment. , 2004, International journal of systematic and evolutionary microbiology.

[26]  C. Walsh,et al.  The evolutionary history of methicillin-resistant Staphylococcus aureus (MRSA) , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[27]  T. A. Roberts,et al.  Predictive modelling of growth of Staphylococcus aureus: the effects of temperature, pH and sodium chloride. , 1994, International journal of food microbiology.

[28]  D. Claus,et al.  A standardized Gram staining procedure , 1992, World journal of microbiology & biotechnology.

[29]  R. Amann,et al.  Combination of 16S rRNA-targeted oligonucleotide probes with flow cytometry for analyzing mixed microbial populations , 1990, Applied and environmental microbiology.

[30]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[31]  T. Vogel,et al.  Bioaugmentation for Groundwater Remediation: an Overview , 2013 .

[32]  Kyung-Min Yeon,et al.  Characterization of biofilm structure and its effect on membrane permeability in MBR for dye wastewater treatment. , 2006, Water research.

[33]  A. Nzila,et al.  Bioaugmentation: An Emerging Strategy of Industrial Wastewater Treatment for Reuse and Discharge , 2016, International journal of environmental research and public health.