More power to innovative engineers' elbows. When you get right down to it, what does sustainability really mean?
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Conservation of Natural Resources↗
Biomedical subjects
T Ross
Publications and source records attributed to T Ross.
Predictive modelling of the growth and survival of Listeria in fishery products.
Predictive microbiology provides a powerful tool to aid the exposure assessment phase of 'quantitative microbial risk assessment'. Using predictive models changes in microbial populations on foods between the point of production/harvest and the point of eating can be estimated from changes in product parameters (temperature, storage atmosphere, pH, salt/water activity, etc.). Thus, it is possible to infer exposure to Listeria monocytogenes at the time of consumption from the initial microbiological condition of the food and its history from production to consumption. Predictive microbiology models have immediate practical application to improve microbial food safety and quality, and are leading to development of a quantitative understanding of the microbial ecology of foods. While models are very useful decision-support tools it must be remembered that models are, at best, only a simplified representation of reality. As such, application of model predictions should be tempered by previous experience, and used with cognisance of other microbial ecology principles that may not be included in the model. Nonetheless, it is concluded that predictive models, successfully validated in agreement with defined performance criteria, will be an essential element of exposure assessment within formal quantitative risk assessment. Sources of data and models relevant to assessment of the human health risk of L. monocytogenes in seafoods are identified. Limitations of the current generation of predictive microbiology models are also discussed. These limitations, and their consequences, must be recognised and overtly considered so that the risk assessment process remains transparent. Furthermore, there is a need to characterise and incorporate into models the extent of variability in microbial responses. The integration of models for microbial growth, growth limits or inactivation into models that can predict both increases and decreases in microbial populations over time will also improve the utility of predictive models for exposure assessment. All of these issues are the subject of ongoing research.
Animals↗
Modelling the combined temperature and salt (NaCl) limits for growth of a pathogenic Escherichia coli strain using nonlinear logistic regression.
A broth-based method is used to determine if exponential phase Escherichia coli R31, an STEC, is able to grow within 50 days under various combinations of sub-optimal temperatures and salt concentrations. From these data, the growth limits for combinations of temperature (7.7-37.0 degrees C) and water activity (0.943-0.987; NaCl as humectant) are defined and modelled using a nonlinear logistic regression model. That form of model is able to predict the combinations of salt concentration/water activity and temperature that will prevent the growth of E. coli R31 with selected levels of confidence. The model fitted the data with an approximate concordance rate of 97.3%. The minimum water activity that permitted growth occurred in the range 25-30 degrees C, the temperature range which optimises cell yield. At temperatures below this range the minimum water activity which allowed growth increased with decreasing temperature.
Culture Media↗
Rates of food poisoning in Australia.
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Australia↗
Quantifying the hurdle concept by modelling the bacterial growth/no growth interface.
The hurdle concept described eloquently over many years by Professor Leistner and his colleagues draws attention to the interaction of factors that affect microbial behaviour in foods. Under some circumstances these effects are additive. Under others the implication is that synergistic interactions lead to a combined effect of greater magnitude than the sum of constraints applied individually. Predictive modelling studies on the combined effects of temperature and water activity and temperature and pH suggest that the effect of these combinations on growth rate is independent. Where the effect of the two factors is interactive rather than independent is at the point where growth ceases--the growth/no growth interface. An interesting and consistent observation is that a very sharp cut off occurs between conditions permitting growth and those preventing growth, allowing those combinations of factors to be defined precisely and modelled. Growth/no growth interface models quantify the effects of various hurdles on the probability of growth and define combinations at which the growth rate is zero or the lag time infinite. Increasing the stringency of one or more hurdles at the interface by only a small amount will significantly decrease the probability of an organism growing. Understanding physiological processes occurring near the growth/no growth interface and changes induced by moving from one side of the interface to the other may well provide insights that can be exploited in a new generation of food preservation techniques with minimal impact on product quality.
Bacteria↗
Internal sphincterotomy is superior to topical nitroglycerin in the treatment of chronic anal fissure: results of a randomized, controlled trial by the Canadian Colorectal Surgical Trials Group.
PURPOSE: This was a multicenter, randomized, controlled trial to compare the effectiveness of topical nitroglycerin with internal sphincterotomy in the treatment of chronic anal fissure. METHODS: Patients with symptomatic chronic anal fissures were randomly assigned to 0.25 percent nitroglycerin tid or internal sphincterotomy. Both groups received stool softeners and fiber supplements and were assessed at six weeks and six months. RESULTS: Ninety patients were accrued, but 8 were excluded from the analysis because they refused internal sphincterotomy after randomization (6), the fissure healed before surgery (1), or a fissure was not observed at surgery (1). There were 38 patients in the internal sphincterotomy group (22 males; mean age, 40.3 years) and 44 patients in the nitroglycerin group (15 males; mean age, 38.7 years). At six weeks 34 patients (89.5 percent) in the internal sphincterotomy group compared with 13 patients (29.5 percent) in the nitroglycerin group had complete healing of the fissure (P = 5x10(-8)). Five of the 13 patients in the nitroglycerin group relapsed, whereas none in the internal sphincterotomy group did. At six months fissures in 35 (92.1 percent) patients in the internal sphincterotomy group compared with 12 (27.2 percent) patients in the nitroglycerin group had healed (P = 3x10(-9)). One (2.6 percent) patient in the internal sphincterotomy group required further surgery for a superficial fistula compared with 20 (45.4 percent) patients in the nitroglycerin group who required an internal sphincterotomy (P = 9x10(-6)). Eleven (28.9 percent) patients in the internal sphincterotomy group developed side effects compared with 37 (84 percent) patients in the nitroglycerin group (P<0.0001). Nine (20.5 percent) patients discontinued the nitroglycerin because of headaches (8) or a severe syncopal attack (1). CONCLUSIONS: Internal sphincterotomy is superior to topical nitroglycerin 0.25 percent in the treatment of chronic anal fissure, with a high rate of healing, few side effects, and low risk of early incontinence. Thus, internal sphincterotomy remains the treatment of choice for chronic anal fissure.
Administration, Topical↗
Practice parameters for antibiotic prophylaxis--supporting documentation. The Standards Task Force. The American Society of Colon and Rectal Surgeons.
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Aged↗
Practice parameters for the treatment of sigmoid diverticulitis--supporting documentation. The Standards Task Force. The American Society of Colon and Rectal Surgeons.
It should be recognized that these guidelines should not be deemed inclusive of all proper methods of care or exclusive of methods of care reasonably directed to obtaining the same results. The ultimate judgment regarding the propriety of any specific procedure must be made by the physician in light of all of the circumstances presented by the individual patient.
Diverticulitis, Colonic↗
Growth limits of Listeria monocytogenes as a function of temperature, pH, NaCl, and lactic acid.
Models describing the limits of growth of pathogens under multiple constraints will aid management of the safety of foods which are sporadically contaminated with pathogens and for which subsequent growth of the pathogen would significantly increase the risk of food-borne illness. We modeled the effects of temperature, water activity, pH, and lactic acid levels on the growth of two strains of Listeria monocytogenes in tryptone soya yeast extract broth. The results could be divided unambiguously into "growth is possible" or "growth is not possible" classes. We observed minor differences in growth characteristics of the two L. monocytogenes strains. The data follow a binomial probability distribution and may be modeled using logistic regression. The model used is derived from a growth rate model in a manner similar to that described in a previously published work (K. A. Presser, T. Ross, and D. A. Ratkowsky, Appl. Environ. Microbiol. 64:1773-1779, 1998). We used "nonlinear logistic regression" to estimate the model parameters and developed a relatively simple model that describes our experimental data well. The fitted equations also described well the growth limits of all strains of L. monocytogenes reported in the literature, except at temperatures beyond the limits of the experimental data used to develop the model (3 to 35 degrees C). The models developed will improve the rigor of microbial food safety risk assessment and provide quantitative data in a concise form for the development of safer food products and processes.
Culture Media↗
Breast adipose tissue concentrations of polychlorinated biphenyls and other organochlorines and breast cancer risk.
Numerous studies have examined the relationship between organochlorines and breast cancer, but the results are not consistent. In most studies, organochlorines were measured in serum, but levels in breast adipose tissue are higher and represent cumulative internal exposure at the target site for breast cancer. Therefore, a hospital-based case-control study was conducted in Ontario, Canada to evaluate the association between breast cancer risk and breast adipose tissue concentrations of several organochlorines. Women scheduled for excision biopsy of the breast were enrolled and completed a questionnaire. The biopsy tissue of 217 cases and 213 benign controls frequency matched by study site and age in 5-year groups was analyzed for 14 polychlorinated biphenyl (PCB) congeners, total PCBs, and 10 other organochlorines, including p,p'-1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene. Multiple logistic regression was used to assess the magnitude of risk. While adjusting for age, menopausal status, and other factors, odds ratios (ORs) were above 1.0 for almost all organochlorines except five pesticide residues. The ORs were above two in the highest concentration categories of PCB congeners 105 and 118, and the ORs for these PCBs increased linearly across categories (Ps for trend < or =0.01). Differences by menopausal status are noted especially for PCBs 105 and 118, with risks higher among premenopausal women, and for PCBs 170 and 180, with risks higher among postmenopausal women. Clear associations with breast cancer risk were demonstrated in this study for some PCBs measured in breast adipose tissue.
Adipose Tissue↗
Nonthermal death of Escherichia coli.
The destruction of Escherichia coli M23 OR.H- using lethal water activity levels and nonlethal temperatures was investigated. Death rates were measured for a combination of four growth-permissible temperatures (15 degrees C, 25 degrees C, 40 degrees C and 45 degrees C) and four distinctly lethal water activities (0.75, 0.83, 0.88 and 0.90). In addition, death rates were measured at two temperatures (4 degrees C and 50 degrees C) outside the growth range of E. coli. Death rate increased both at higher temperature or lower water activity. Inactivation curves resulting from exposure of E. coli to osmotic stress were biphasic. The initial rate of death was followed by a slower second phase decline, or "tailing" effect. Addition of chloramphenicol to the suspending medium reduced the tailing effect and suggested that tailing was caused by de novo protein synthesis.
Chloramphenicol↗
Validating and comparing predictive models.
The bias and accuracy factors introduced by Ross [Ross, T., 1996. Indices for performance evaluation of predictive models in food microbiology. J. Appl Bacteriol. 81, 501-508] for the evaluation of the performance of models in 'predictive food microbiology' are refined by basing the calculation of those measures on the mean square differences between predictions and observations. The use of the indices is extended by presenting formulae and methods which enable evaluation of the difference between alternative models for growth of an organism of interest over a domain of environmental factors. This is done by calculating the integral mean of the square differences between the models under investigation over the domain of the environmental variables common to those models, or a sub-region of it. The use of the techniques is exemplified by evaluating the difference between four published models for the growth rate of psychrotrophic pseudomonads.
Bias↗
Practice parameters for detection of colorectal neoplasms. The Standards Committee, The American Society of Colon and Rectal Surgeons.
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Colonic Polyps↗
Feature selection for optimized skin tumor recognition using genetic algorithms.
In this paper, a new approach to computer supported diagnosis of skin tumors in dermatology is presented. High resolution skin surface profiles are analyzed to recognize malignant melanomas and nevocytic nevi (moles), automatically. In the first step, several types of features are extracted by 2D image analysis methods characterizing the structure of skin surface profiles: texture features based on cooccurrence matrices, Fourier features and fractal features. Then, feature selection algorithms are applied to determine suitable feature subsets for the recognition process. Feature selection is described as an optimization problem and several approaches including heuristic strategies, greedy and genetic algorithms are compared. As quality measure for feature subsets, the classification rate of the nearest neighbor classifier computed with the leaving-one-out method is used. Genetic algorithms show the best results. Finally, neural networks with error back-propagation as learning paradigm are trained using the selected feature sets. Different network topologies, learning parameters and pruning algorithms are investigated to optimize the classification performance of the neural classifiers. With the optimized recognition system a classification performance of 97.7% is achieved.
Algorithms↗
Behaviour of Listeria monocytogenes under combined chilling processes.
The behaviour of Listeria monocytogenes under chilling processes was investigated. Growth kinetics were measured at 7 degrees C in TSBYE culture medium as a function of pH (7.2 and 6.2), pre-incubation temperatures (4 or 7 degrees C), cooling (0.05 or 0.1 degree C min-1) and freezing (0 and -5 degrees C) treatments. Growth curves generated were fitted by Gompertz and Baranyi functions. The Baranyi function gave better parameter estimation values than the Gompertz equation which over-estimated the specific growth rate values. Listeria monocytogenes grew at 7 degrees C without a lag phase, except when the sub-culture was performed at 37 degrees C, whereas the specific growth rate was affected by the chilling processes. In fact, L. monocytogenes grew slightly faster at 7 degrees C when a 4 degrees C pre-incubation treatment was applied than with a 7 degrees C pre-incubation treatment. These results suggest that to mimic the processes of contamination in industry, predictive microbiology studies with L. monocytogenes should be performed with organisms cultured at low temperatures.
Food Technology↗
Physicochemical parameters for growth of the sea ice bacteria Glaciecola punicea ACAM 611(T) and Gelidibacter sp. strain IC158.
The water activity and pH ranges for growth of Glaciecola punicea (a psychrophile) were extended when this organism was grown at suboptimal rather than optimal temperatures. No such extension was observed for Gelidibacter sp. strain IC158 (a psychrotolerant bacterium) at analogous temperatures. Salinity and pH may be primary physicochemical parameters controlling bacterial community development in sea ice.
Antarctic Regions↗
Computer-supported diagnosis of melanoma in profilometry.
Laser profilometry offers new possibilities to improve non-invasive tumor diagnostics in dermatology. In this paper, a new approach to computer-supported analysis and interpretation of high-resolution skin-surface profiles of melanomas and nevocellular nevi is presented. Image analysis methods are used to describe the profile's structures by texture parameters based on co-occurrence matrices, features extracted from the Fourier power spectrum, and fractal features. Different feature selection strategies, including genetic algorithms, are applied to determine the best possible subsets of features for the classification task. Several architectures of multilayer perceptrons with error back-propagation as learning paradigm are trained for the automatic recognition of melanomas and nevi. Furthermore, network-pruning algorithms are applied to optimize the network topology. In the study, the best neural classifier showed an error rate of 4.5% and was obtained after network pruning. The smallest error rate in all, of 2.3%, was achieved with nearest neighbor classification.
Diagnosis, Differential↗
Final optical density and growth rate; effects of temperature and NaCl differ from acidity.
Most predictive models used in food microbiology accurately describe microbial growth rate responses to conditions in the environment, but do not improve understanding of mechanisms. The effects of temperature, water activity and acid constraints on the growth of Escherichia coli are investigated using substrate-limited batch culture experiments. Final optical densities of substrate-limited batch cultures indicate the efficiency of substrate conversion to biomass and, therefore, the relative energetic burdens that different environmental conditions pose for microbial growth. Typical growth rate responses are observed. At suboptimal temperatures, the square root of growth rate declines linearly with temperature. With increasingly stringent water activity conditions, the growth rate declines linearly. It also declines linearly (but only slightly) with increasing hydrogen-ion concentration. Similar deltaOD (the change in optical density from the initial value to the value where the final population density is reached) responses are observed for temperature and water activity (adjusted using sodium chloride). Over most of the growth permissive ranges, the deltaOD remains high for both factors. Close to the growth boundaries, however, at the low water activity extreme and at the low and high temperature extremes, cell production declines to zero suddenly. The influence of water activity on growth rate is partly relieved by the compatible solute betaine. However, the main influence of betaine on deltaOD is to extend (to a lower water activity value) the water activity growth boundary and, therefore, the water activity value where cell production declines suddenly. In contrast to the temperature and water activity responses, the deltaOD declines steadily with increasing hydrogen-ion concentration. This indicates that temperature and water activity constraints, despite their marked influence on growth rate, may not impose large energetic burdens. However, when acid stress is applied, the efficiency of substrate conversion to biomass appears to be reduced.
Betaine↗