Atmospheric freeze drying assisted by power ultrasound

[EN] Atmospheric freeze drying (AFD) is considered an alternative to vacuum freeze drying to keep the quality of fresh product. AFD allows continuous drying reducing fix and operating costs, but presents, as main disadvantage, a long drying time required. The application of power ultrasound (US) can accelerate AFD process. The main objective of the present study was to evaluate the application of power ultrasound to improve atmospheric freeze drying of carrot. For that purpose, AFD experiments were carried out with carrot cubes (10 mm side) at constant air velocity (2 ms-1), temperature (-10ºC) and relative humidity (10%) with (20.5 kWm-3, USAFD) and without (AFD) ultrasonic application. A diffusion model was used in order to quantify the influence of US in drying kinetics. To evaluate the quality of dry products, rehydration capacity and textural properties were determined. The US application during AFD of carrot involved the increase of drying rate. The effective moisture diffusivity identified in USAFD was 73% higher than in AFD experiments. On the other hand, the rehydration capacity was higher in USAFD than in AFD and the hardness of dried samples did not show significant (p<0.05) differences. Therefore, US application during AFD significantly (p<0.05) sped-up the drying process preserving the quality properties of the dry product.Santacatalina Bonet, JV.; Carcel Carrión, JA.; Simal, S.; García Pérez, JV.; Mulet Pons, A. (2012). Atmospheric freeze drying assisted by power ultrasound. IOP Conference Series: Materials Science and Engineering. 42:5-8. doi:10.1088/1757-899X/42/1/012021S5842Stawczyk, J., Li, S., Witrowa-Rajchert, D., & Fabisiak, A. (2006). Kinetics of Atmospheric Freeze-drying of Apple. Transport in Porous Media, 66(1-2), 159-172. doi:10.1007/s11242-006-9012-4Wolff, E., & Gibert, H. (1990). ATMOSPHERIC FREEZE-DRYING PART 1 : DESIGN, EXPERIMENTAL INVESTIGATION AND ENERGY-SAVING ADVANTAGES. Drying Technology, 8(2), 385-404. doi:10.1080/07373939008959890García-Pérez, J. V., Cárcel, J. A., Benedito, J., & Mulet, A. (2007). Power Ultrasound Mass Transfer Enhancement in Food Drying. Food and Bioproducts Processing, 85(3), 247-254. doi:10.1205/fbp07010Gallego-Juárez, J. A., Riera, E., de la Fuente Blanco, S., Rodríguez-Corral, G., Acosta-Aparicio, V. M., & Blanco, A. (2007). Application of High-Power Ultrasound for Dehydration of Vegetables: Processes and Devices. Drying Technology, 25(11), 1893-1901. doi:10.1080/07373930701677371Hassini, L., Azzouz, S., Peczalski, R., & Belghith, A. (2007). Estimation of potato moisture diffusivity from convective drying kinetics with correction for shrinkage. Journal of Food Engineering, 79(1), 47-56. doi:10.1016/j.jfoodeng.2006.01.02

Statistical process control of mortality series in the Australian and New Zealand Intensive Care Society (ANZICS) adult patient database: implications of the data generating process

for the ANZICS Centre for Outcome and Resource Evaluation (CORE) of the Australian and New Zealand Intensive Care Society (ANZICS)BACKGROUND Statistical process control (SPC), an industrial sphere initiative, has recently been applied in health care and public health surveillance. SPC methods assume independent observations and process autocorrelation has been associated with increase in false alarm frequency. METHODS Monthly mean raw mortality (at hospital discharge) time series, 1995–2009, at the individual Intensive Care unit (ICU) level, were generated from the Australia and New Zealand Intensive Care Society adult patient database. Evidence for series (i) autocorrelation and seasonality was demonstrated using (partial)-autocorrelation ((P)ACF) function displays and classical series decomposition and (ii) “in-control” status was sought using risk-adjusted (RA) exponentially weighted moving average (EWMA) control limits (3 sigma). Risk adjustment was achieved using a random coefficient (intercept as ICU site and slope as APACHE III score) logistic regression model, generating an expected mortality series. Application of time-series to an exemplar complete ICU series (1995-(end)2009) was via Box-Jenkins methodology: autoregressive moving average (ARMA) and (G)ARCH ((Generalised) Autoregressive Conditional Heteroscedasticity) models, the latter addressing volatility of the series variance. RESULTS The overall data set, 1995-2009, consisted of 491324 records from 137 ICU sites; average raw mortality was 14.07%; average(SD) raw and expected mortalities ranged from 0.012(0.113) and 0.013(0.045) to 0.296(0.457) and 0.278(0.247) respectively. For the raw mortality series: 71 sites had continuous data for assessment up to or beyond lag ₄₀ and 35% had autocorrelation through to lag ₄₀; and of 36 sites with continuous data for ≥ 72 months, all demonstrated marked seasonality. Similar numbers and percentages were seen with the expected series. Out-of-control signalling was evident for the raw mortality series with respect to RA-EWMA control limits; a seasonal ARMA model, with GARCH effects, displayed white-noise residuals which were in-control with respect to EWMA control limits and one-step prediction error limits (3SE). The expected series was modelled with a multiplicative seasonal autoregressive model. CONCLUSIONS The data generating process of monthly raw mortality series at the ICU level displayed autocorrelation, seasonality and volatility. False-positive signalling of the raw mortality series was evident with respect to RA-EWMA control limits. A time series approach using residual control charts resolved these issues.John L Moran, Patricia J Solomo

Análise de séries temporais na operação de sistema de tratamento de águas residuárias de abatedouro de frango Time series analysis on the operation of a poultry slaughterhouse wastewater treatment plant

Esse trabalho apresenta a avaliação de dados de operação de sistema de tratamento de águas residuárias de abatedouro de frango, através da análise de séries temporais. O objetivo principal foi a obtenção de modelo de previsão capaz de antecipar o controle da operação do sistema de tratamento de águas residuárias do abatedouro, constituindo subsídio para obtenção de estratégias de gestão do sistema de tratamento existente. Registros de 42 meses de parâmetros de monitoramento foram utilizados na modelagem de séries temporais. O modelo de ajuste exponencial para previsão dos valores de demanda química de oxigênio do efluente industrial e do afluente dos reatores biológicos apresentou bom ajuste (erro percentual absoluto da média aritmética menor que 20%) com diferenças na capacidade de previsão menores que 15%.<br>This paper presents the evaluation of the operating data of the poultry slaughterhouse wastewater treatment plant, by means of time series analysis. It aimed at obtaining a forecasting model able to have the operation of the slaughterhouse wastewater treatment system under control, what leads to subsidy for acquiring the management strategies of the wastewater treatment system. Records of 42 months of the monitoring parameters were used in the time series modeling. The exponentially weighted moving average model for obtaining chemical oxygen demand values of the industrial effluent and the reactors influent stream showed proper adjustment (mean absolute percentage error values smaller than 20%), where the differences on the prediction feasibility were smaller than 15%