Prediction of freezing and thawing times for multi-dimensional shapes by simple formulae part 2: irregular shapes

Calculated and experimental data for multi-dimensional irregular shapes wer used to assess various methodologies to include the effect of shape in empirical freezing and thawing time prediction methods. The principles underlying two existing geometric factors, EHTD and MCP, were found to be valid; so there seems to be no need for other approaches. Used in conjunction with accurate slab freezing and thawing time prediction methods, the proposed empirical formulae for EHTD and MCP gave accurate predictions for all of the two-dimensional shapes and most of the three-dimensional shapes tested, except those with oval cross-sections in the third dimension. This was attributed to the lack of data for this group of shapes.     

Prediction of freezing and thawing times for multi-dimensional shapes by numerical methods

Testing the accuracy of freezing and thawing time prediction methods requires accurate experimental data. To complement existing data, 175 experimental measurements, 68 for thawing of rectangular bricks and 107 for both freezing and thawing of 12 different multi-dimensional irregular shapes, were made using Tylose, a food analogue, over a wide range of conditions. Twelve additional experiments were conducted using an actual food material, minched lean beef. Details of all the experimental conditions are reported.     

High pressure freezing and thawing of foods: a review

The phase diagram of water shows that the melting temperature of water decreases with pressure down to −21°C at 210 MPa while the opposite effect is observed above this pressure. This phenomenon allows the achievement of rapid freezing and thawing of foods that mainly contain water. In addition, pressure-assisted thawing has the advantage of inducing a reduction in drip loss which tends to be a function of process parameters and nature of the product. Concerning pressure shift freezing, this process permits the significant preservation of the microstructure of biological substances. The current status of high pressure freezing and thawing applications in foods is reviewed in this paper. Concepts and principles underlying the application of these technologies are firstly developed. Available literature on the applications of high pressure freezing and thawing is then presented and discussed. Finally, the modelling aspects of theses processes are dealt with.     

异步电动机定子绕组短接制动瞬态过程仿真研究

采用三相异步电动机在αβ30坐标系下的数学模型，根据具体定子绕组接线的不对称情况，推导出电机定子端电压的约束条件，编写了一个适合于异步电动机定子对称和不对称运行情况的实用仿真计算程序，通过实例对定子Y形接法三相异步电动机的单相短接制动、两相短接制动和三相短接制动运行过程进行仿真计算，并对仿真结果进行比较分析，得出了一些有用的结论。     

Evaluation of partial pressure CO2 change in the dialyzer blood inlet during hemodialysis as a measure of vascular access recirculation

Introduction

Vascular access recirculation during hemodialysis is associated with reduced effectiveness and worse survival outcomes. To evaluate recirculation, an increase in pCO₂ in the blood of the arterial line during hemodialysis (threshold of 4.5 mmHg) was proposed. The blood returning from the dialyzer in the venous line has significantly higher pCO₂, so in the presence of recirculation, pCO2 in the arterial blood line may increase (ΔpCO₂) during hemodialysis sessions. The aim of our study was to evaluate ΔpCO₂ as a diagnostic tool for vascular access recirculation in chronic hemodialysis patients.

Methods

We evaluated vascular access recirculation with ΔpCO₂ and compared it with the results of a urea recirculation test, which is the gold standard. ΔpCO₂ was obtained from the difference in pCO₂ in the arterial line at baseline (pCO₂T1) and after 5 min of hemodialysis (pCO₂T2). ∆pCO₂ = pCO₂T2–pCO₂T1.

Findings

In 70 hemodialysis patients (mean age: 70.52 ± 13.97 years; hemodialysis vintage of 41.36 ± 34.54, KT/V 1.4 ± 0.3), ∆pCO₂ was 4 ± 4 mmHg, and urea recirculation was 7% ± 9%. Vascular access recirculation was identified using both methods in 17 of 70 patients, who showed a ∆pCO₂ of 10 ± 5 mmHg and urea recirculation of 20% ± 9%; time in months of hemodialysis was the only difference between vascular access recirculation and non-vascular access recirculation patients (22 ± 19 vs. 46 ± 36, p: 0.05). In the non-vascular access recirculation group, the average ΔpCO₂ was 1.9 ± 2 (p: 0.001), and the urea recirculation % was 2.8 ± 3 (p: 0.001). The ΔpCO₂ correlated with the urea recirculation % (R: 0.728; p < 0.001).

Discussion

ΔpCO₂ in the arterial blood line during hemodialysis is an effective and reliable diagnostic tool for identifying recirculation of the vascular access but not its magnitude. The ΔpCO₂ test application is simple and economical and does not require special equipment.