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Bacterial Load

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Anti-inflammatory and antibacterial activities of P. petiolosa (Christ) Ching ethyl acetate extract against S. aureus in mice.

Pakistan journal of pharmaceutical sciences
P. petiolosa as a typical Chinese herbal medicine has been generally utilized as Chinese native medicine formulation for treatment of chronic bronchitis, bronchial asthma and pneumoconiosis. The objective of this study was to evaluate the anti-inflam...

Antibacterial efficacy of handrubbing for 15 versus 30 seconds: EN 1500-based randomized experimental study with different loads of Staphylococcus aureus and Escherichia coli.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
OBJECTIVES: Compliance with the World Health Organization 'how to handrub' action is suboptimal. Simplifying the hand-hygiene action may improve practice. However, it is crucial to preserve antibacterial efficacy. We tested the non-inferiority of 15 ...

Evaluation of a protocol for reducing the microbial contamination of dental unit water.

Acta odontologica latinoamericana : AOL
Biofilm on dental unit waterlines can spread microbial contamination in the water. The aim of this study was to investigate microbial contamination of water from supplies and dental units before and after the implementation of a protocol for microbia...

Defining lower airway bacterial infection in children with chronic endobronchial disorders.

Pediatric pulmonology
BACKGROUND: Differentiating lower airway bacterial infection from possible upper airway contamination in children with endobronchial disorders undergoing bronchoalveolar lavage (BAL) is important for guiding management. A diagnostic bacterial load th...

Determination of Tedizolid susceptibility interpretive criteria for gram-positive pathogens according to clinical and laboratory standards institute guidelines.

Diagnostic microbiology and infectious disease
For effective antibacterial therapy, physicians require qualitative test results using susceptibility breakpoints provided by clinical microbiology laboratories. This article summarizes the key components used to establish the Clinical Laboratory Sta...

Designing primers and evaluation of the efficiency of propidium monoazide - Quantitative polymerase chain reaction for counting the viable cells of Lactobacillus gasseri and Lactobacillus salivarius.

Journal of food and drug analysis
The purpose of this study is to evaluate the efficiency of using propidium monoazide (PMA) real-time quantitative polymerase chain reaction (qPCR) to count the viable cells of Lactobacillus gasseri and Lactobacillus salivarius in probiotic products. ...

Support vector machine-based differentiation between aggressive and chronic periodontitis using microbial profiles.

International dental journal
BACKGROUND: The existence of specific microbial profiles for different periodontal conditions is still a matter of debate. The aim of this study was to test the hypothesis that 40 bacterial species could be used to classify patients, utilising machin...

Application of recurrent neural network for online prediction of cell density of recombinant Pichia pastoris producing HBsAg.

Preparative biochemistry & biotechnology
Artificial neural networking (ANN) seems to be a promising soft sensor for implementing current approaches of quality by design (QbD) and process analytical technologies (PAT) in the biopharmaceutical industry. In this study, we aimed to implement be...

Automated classification of bacterial cell sub-populations with convolutional neural networks.

PloS one
Quantification of phenotypic heterogeneity present amongst bacterial cells can be a challenging task. Conventionally, classification and counting of bacteria sub-populations is achieved with manual microscopy, due to the lack of alternative, high-thr...

Is skipping the definition of primary and secondary models possible? Prediction of Escherichia coli O157 growth by machine learning.

Journal of microbiological methods
To predict bacterial population behavior in food, statistical models with specific function form have been applied in the field of predictive microbiology. Modelers need to consider the linear or non-linear relationship between the response and expla...