Safety management systems: Performance differences between adopters and non-adopters

The aim of this paper is to assess, through an empirical investigation, whether the performance of safety management systems (SMSs) adopting and non-adopting companies statistically differ. To achieve such aim, empirical data were collected on a sample of 116 companies, encompassing both SMSs adopters and non-adopters. Hypotheses testing was performed to assess whether SMSs adopters experience significantly higher performance against (i) definition of safety and security goals and their communication to employees; (ii) risk data updating and risk analysis; (iii) identification of risks and definition of corrective actions; (iv) employees training. Results show that companies adopting SMSs exhibit higher performance against all the topics identified. These outcomes could be the starting point for providing empirical evidence of benefits achievable thanks to SMSs implementation.     

Predicting the effects of ionising radiation on ecosystems by a generic model based on the Lotka–Volterra equations

The present work describes a model for predicting the population dynamics of the main components (resources and consumers) of terrestrial ecosystems exposed to ionising radiation. The ecosystem is modelled by the Lotka–Volterra equations with consumer competition. Linear dose–response relationships without threshold are assumed to relate the values of the model parameters to the dose rates. The model accounts for the migration of consumers from areas characterised by different levels of radionuclide contamination. The criteria to select the model parameter values are motivated by accounting for the results of the empirical studies of past decades. Examples of predictions for long-term chronic exposure are reported and discussed.     

Detection and enumeration of Cryptosporidium sp. oocysts in sewage sludge samples from the city of Florianópolis (Brazil) by using immunomagnetic separation combined with indirect immunofluorescence assay.

In the last few decades, agricultural reclamation of sewage sludge has increased in many countries. However, this practice must be adopted under recommended conditions to limit the risks associated with the presence of potential pathogens, including protozoan parasites such as Cryptosporidium. In the present work, we evaluated immunomagnetic separation (IMS) combined with an indirect immunofluorescence assay (IFA) in order to detect Cryptosporidium oocysts in sewage sludge samples obtained from the Municipal Wastewater Treatment Plant (MWTP) operating in the city of Florianópolis, State of Santa Catarina, Brazil. Integrated application of spontaneous sludge sedimentation and centrifugation of the supernatant, purification and concentration of oocysts through immunomagnetic separation as well as detection and quantification by means of indirect immunofluorescence using highly specific monoclonal antibodies, proved to be an effective multiple-analysis tool for monitoring the presence of Cryptosporidium oocysts in urban sewage sludge samples. Among 27 samples collected from MWTP, 20 (74.07%) were positive for Cryptosporidium sp. The efficiency of recovery by using the internal control ColorSeed (Biotechnology Frontiers Inc., Sydney, NSW, Australia) was medially 39.96 +/- 11.20%. Actually, oocysts were recovered from 100% of the positive samples tested and the number of Cryptosporidium oocysts found in the samples ranged from one to four. These results demonstrated a high recovery rate of Cryptosporidium oocysts in sewage sludge samples by using IMS-IFA analysis. In conclusion, such an approach can be applied to monitor the presence of the parasite and to determine the potential contamination of sludge destined for soil application.     

Simulating the fate of indigenous antibiotic resistant bacteria in a mild slope wastewater polluted stream

The fate of indigenous surface-water and wastewater antibiotic resistant bacteria in a mild slope stream simulated through a hydraulic channel was investigated in outdoor experiments.The effect of(i) natural(dark) decay,(ii) sunlight,(iii) cloudy cover,(iv) adsorption to the sediment,(v) hydraulic conditions,(vi) discharge of urban wastewater treatment plant(UWTP)effluent and(vii) bacterial species(presumptive Escherichia coli and enterococci) was evaluated.Half-life time(T1/2) of E. coli under sunlight was in the range 6.48–27.7 min(initial bacterial concentration of 10~5 CFU/mL) depending on hydraulic and sunlight conditions. E. coli inactivation was quite similar in sunny and cloudy day experiments in the early 2 hr, despite of the light intensity gradient was in the range of 15–59 W/m~2; but subsequently the inactivation rate decreased in the cloudy day experiment(T1/2= 23.0 min) compared to sunny day(T_(1/2)= 17.4 min). The adsorption of bacterial cells to the sediment(biofilm) increased in the first hour and then was quite stable for the remaining experimental time. Finally, when the discharge of an UWTP effluent in the stream was simulated, the proportion of indigenous antibiotic resistant E. coli and enterococci was found to increase as the exposure time increased, thus showing a higher resistance to solar inactivation compared to the respective total populations.