Optimization of ring-spinning process parameters using response surface methodology

Several processes are involved in textile industry for yarn production. Ring spinning is the most versatile machine for producing the spun yarn. It is necessary to optimize the ring-spinning process parameters in order to curtail cost and increase the production rate without affecting the yarn quality. In this study, the effects of spinning process parameters namely, spindle speed, roving twist multiplier (roving TM) and yarn TM are studied and have been optimized using three variable Box–Behnken design of Response Surface Methodology. It is determined that spindle speed of 17,000?rpm with 4.1 TM for yarn and 1.3 TM for roving results are the best optimal responses.     

响应面法优化草莓清汁加工工艺

在单因素基础上,对果胶酶添加量,酶解时间,酶解pH,酶解温度进行组合实验,采用响应面分析,对草莓清汁加工工艺参数进行优化。研究结果表明:加工工艺为果胶酶添加量0.06%、酶解时间80min、酶解pH3.8、酶解温度40.0℃,草莓出汁率最高为90.40%,草莓清汁透光率为88.98%,预测与结论相符。      

Employing artificial neural networks for minimizing surface roughness and power consumption in abrasive machining of wood

One of the biggest challenges in machining processes of wood is to detect the optimum values of process parameters for reducing the final production cost. In the present study, the effects of various process parameters on surface roughness and power consumption in abrasive machining process of wood using experimental data collected from the literature were modeled by artificial neural networks (ANNs). The results have indicated that accurate prediction of the experimental data by neural network models was achieved with the mean absolute percentage error (MAPE) less than 2.51 % for power consumption and 2.65 % for surface roughness in the testing phase. Besides, the values of determination coefficient (R²) were found as 0.994 and 0.985 in the prediction of surface roughness and power consumption by the ANN modeling, respectively. Based on the results, it can be said that by means of the proposed models the surface roughness and power consumption can easily be predicted with very high degrees of accuracy in abrasive machining process of wood. Consequently, the present study can effectively be applied to the wood industry to reduce the time, energy consumption and high experimental costs because it eliminates the need for a large number of experiments.     

响应面法优化酶解马铃薯淀粉工艺

采用中温型α-淀粉酶对马铃薯淀粉进行水解,以马铃薯淀粉水解液的DE值为评价指标,在p H、酶解温度、酶解时间单因素实验的基础上,采用响应面法优化了马铃薯淀粉酶解工艺条件。结果表明:p H7.90,酶解温度62℃,酶解时间60 min,在此最优条件下酶解马铃薯淀粉的DE值达57.93%。      

响应面法优化酶解马铃薯淀粉工艺

采用中温型α-淀粉酶对马铃薯淀粉进行水解,以马铃薯淀粉水解液的DE值为评价指标,在p H、酶解温度、酶解时间单因素实验的基础上,采用响应面法优化了马铃薯淀粉酶解工艺条件。结果表明:p H7.90,酶解温度62℃,酶解时间60 min,在此最优条件下酶解马铃薯淀粉的DE值达57.93%。     

响应曲面法优化番茄汁加工工艺

为优化番茄汁加工工艺,以出汁率为指标,在单因素实验基础上,进行响应面实验分析得到最佳工艺参数为:纤维素酶添加量0.08%,酶解时间79min,酶解pH4.0,酶解温度54℃,此时番茄出汁率为90.08%。同时建立了番茄出汁率的二次数学模型,对出汁率具有很好的预测作用。      

Statistical optimization of desugarization process parameters of liquid whole egg using response surface methodology

The glucose is considered to affect the quality of the dried egg products; therefore the statistical optimization of desugarization process parameters of Liquid whole egg (LWE) was carried out in this study. The fermentation of Liquid whole egg (LWE) was done using compressed baker’s yeast. A polynomial model was regressed between reducing sugar & desugarization conditions. The coefficient of determination (R²) of 0.998 (P < 0.0001) for the regressed model indicated about the adequacy of the model, which implies the model was significant to predict reducing sugar content at different fermentation conditions. Optimum conditions for complete desugarization of Liquid whole egg (LWE) were found to be time 6.49 h, temperature 28 °C, pH 6.40 and yeast concentration 3.8 g/L and confirmed by conducting actual experiments at these conditions.     

响应面法优化大豆11S蛋白谷氨酰胺转氨酶改性工艺参数

采用响应面法优化酶交联反应条件,制备高乳化性大豆11S蛋白。以酶添加量(以50 m L样液为参照)、大豆11S蛋白质量浓度、温度和p H为自变量,以乳化性为响应值,利用单因素实验和响应面法对高乳化性大豆11S蛋白制备条件进行优化。结果表明,最佳反应条件为酶添加量22 U(50 m L大豆11S蛋白溶液)、大豆11S蛋白质量浓度26.5 g/L、温度47℃、时间2 h、p H 8.0。在最佳反应条件下,乳化性为76.13%,模型的预测值为76.89%,实验值与预测值相差0.76个百分点,拟合模型具有良好可靠性。未改性大豆11S蛋白乳化性为60.00%,改性后其乳化性提高16.13个百分点。     

响应面法优化酪蛋白磷酸肽生产工艺

在单因素试验的基础上,根据Box-Behnken的中心组合实验设计原理,采用3因素3水平的响应曲面分析法,建立了胰蛋白酶水解酪蛋白制备酪蛋白磷酸肽的二次多项数学模型,并以水解度为响应值作响应面和等高线,得到酶水解酪蛋白制备酪蛋白磷酸肽的优化工艺条件为:水解时间为6 h,酶底比为2‰,温度50℃,底物质量分数为4%,pH值为8.4,旋转振荡速度120 r/min,在此条件下实际水解度为62.84%。     

气相色谱–质谱联用法测定油用牡丹花蕊和花粉中角鲨烯含量

为探究牡丹雄蕊对大鼠慢性非细菌性前列腺炎的药理作用。实验以去势+皮下注射激素（苯甲酸雌二醇0.25 mg·kg⁻¹）诱导的慢性非细菌性前列腺炎大鼠为动物模型。将40只非细菌性前列腺炎模型大鼠随机分成5组（每组8只）：模型组、阳性组（塞来昔布250 mg·kg⁻¹）和牡丹雄蕊低、中、高剂量组（100、200、400 mg·kg⁻¹）。另外选取等量生理盐水处理的正常大鼠作为空白对照组。以大鼠卵磷脂小体密度、前列腺指数及前列腺组织中细胞因子及血液中TXB2和6-K-PGF1α的表达水平为评价指标,评价牡丹雄蕊对慢性非细菌性前列腺炎的治疗作用。实验结果显示大鼠前列腺组织炎症病变程度明显改善,与模型组比较牡丹雄蕊各剂量组白细胞数目、大鼠前列腺重、前列腺指数、TXB2以及大鼠前列腺组织中PGE2的含量均明显降低（P<0.01,P<0.05）;牡丹雄蕊高剂量组ICAM-1、INF-γ、TNF-α、MCP-1以及IL-8的含量显著降低（P<0.01,P<0.05）,低剂量组也均有下降,但无显著差异（P>0.05）;牡丹雄蕊高剂量中6-keto-PGF1α及NO的含量显著升高（P<0.01,P<0.05）,低剂量组也均有升高,但无差异差异（P>0.05）。本研究表明牡丹雄蕊对慢性非细菌性前列腺炎具有治疗作用,为牡丹雄蕊的进一步开发应用提供了理论依据。

     

响应面法优化酪蛋白磷酸肽生产工艺研究

在单因素实验的基础上,根据Box-Behnken的中心组合实验设计原理,采用3因素3水平的响应曲面分析法,建立了胰蛋白酶水解酪蛋白制备酪蛋白磷酸肽的二次多项数学模型,并以水解度为响应值作响应面和等高线,得到酶水解酪蛋白制备酪蛋白磷酸肤的优化工艺条件为:水解时间为6h+12min、酶底比为2.23%、温度50℃.底物浓度为4%、pH8.4、旋转振荡速度120r/min,在此条件下实际水解度为62.04%.     

响应面法优化丁酸梭菌发酵培养工艺

采用响应面法对丁酸梭菌生物量的发酵工艺进行优化。在单因素实验的基础上利用Plackett-Burman实验设计筛选出影响菌体数的显著性因素。在此基础上,运用最陡爬坡实验找出CCD实验的中心点,并确定非显著因素最低添加量来降低生产成本。最后通过响应面法分析获得最佳发酵培养基组成成份。结果表明:酵母浸粉、Fe SO4和K2HPO4为影响菌体量的3个显著性因素;可溶性淀粉2%、酵母浸粉6%、Fe SO41.74%、K2HPO40.37%、Na Cl 0.2%、Mg SO40.024%为最佳培养基组合;优化后的菌体数可达1.01×109个/m L,与优化前（2.3×108个/m L）相比,提高至4.39倍。      

Filtering the roughness of a sanded wood surface

Any quantitative evaluation of the roughness of a sanded surface requires that the data is filtered to remove form errors and waviness. The cut-off length of a roughness filter is the valuethat determines which wavelengths are to be removed from profile data. Wood surfaces contain irregularities due to both the sanding process and the anatomy. When this anatomical roughness is greater than the roughness due to processing, standard profile filters introduce distortions, which increase in magnitude when a short cut-off length is used. Wood anatomical irregularities overlaid on processing irregularities would render standard recommendation in selecting cut-off length unreliable. This paper investigates the influence of the cut-off length of the filter on roughness parameters of sanded solid wood, when the surface is filtered with a robust Gaussian Regression filter. This filter should give roughness profiles free of distortions if the cut-off length is properly selected. For grit sizes P120 to P180, which commonly precede finishing applications, a 2.5 mm cut-off value was found suitable. However, finer processing with P1000 required larger cut-off lengths to overcome the distorting effect of grouped pores.     

响应面法优化魔芋葡甘聚糖的纯化条件

在单因素试验的基础上,采用响应面分析和design expert7.0软件,对魔芋葡甘聚糖进行纯化工艺条件的优化。通过单因素试验,选出料液比、超声时间、超声功率和微波时间等4个因素,设计四因素三水平的响应面试验,利用响应面分析法进行回归分析。结果表明:最佳的纯化工艺为超声时间52.06min,微波时间28.08s,料液比1∶101.83,超声功率169.67W。考虑到实际操作的可行性,将工艺条件调整为超声时间52min,微波时间28s,料液比1∶102,超声功率175W,在此条件下测得的KGM的纯度为97.59%。     

Optimization of broccoli microencapsulation process by complex coacervation using response surface methodology

This work is intended to optimize the microencapsulation process of broccoli particles preserving their chemical healthy composition, in terms of chlorophylls and polyphenol contents and antioxidant activity, increasing its chemical stability and hiding the characteristic broccoli odor that might have a negative impact in consumer's acceptance. Thus, the microencapsulated broccoli could be easily added to processed foodstuff increasing their healthy properties without altering their sensory attributes. Experimental design and response surface methodology (RSM) was applied to optimize operating conditions and the variables that affect broccoli microencapsulation. Based on that, the optimum process conditions determined by RSM were as follows: pH value 4.5; broccoli–wall material ratio 50% and concentration of wall material 4%, where the theoretical and practical encapsulation efficiency was 60% and 58%, respectively.Industrial relevanceNowadays, consumers are increasingly interested in beneficial effects of vegetables on health. In this sense, broccoli has been highly valued for their chemopreventive effects, attributed to its composition in glucosinolates, flavonoids, carotenoids, ascorbic acid and amino acids. All these substances are easily degraded by the action of oxygen, thus reducing their potential health benefit. Microencapsulation process has the advantage of reducing the reactivity to factors such as water, oxygen or light, while reducing evaporation or transmission rate to the outside environment.     

基于响应面法的静电纺丝制备壳聚糖/聚氧化乙烯的工艺参数优化

为了对静电纺丝过程工艺参数进行优化,改善壳聚糖(CS)/聚氧化乙烯(PEO)纳米纤维膜的机械性能,选取CS与PEO质量配比、电压、接收距离作为优化参数,抗拉强度和伸长率作为响应性能指标,按照Box-Benhnken(BBD)设计实验,采用响应曲面分析的方法,建立相对应的预测回归模型并进行方差分析。利用残差概率图进行可靠性验证后,得出了各参数对机械性能影响的显著性及其交互作用对膜的影响。利用Design-Expert软件的Optimization模块优化后得到了各工艺参数间的最优组合:CS与PEO质量配比8︰2、电压15.5 kV、接收距离9.88 cm。     

响应面法优化马奶酒发酵条件的研究

以新鲜马奶为原料,通过考察接菌量(乳酸菌/酵母菌)、发酵温度、发酵时间、糖添加量单因素试验对马奶酒发酵的影响,并借助响应面设计,研究接菌量(乳酸菌/酵母菌)、发酵温度、发酵时间对马奶酒品质的影响。结果表明,最佳发酵条件分别为接菌量(乳酸菌/酵母菌)3%∶5%、发酵温度32℃、发酵时间80h、糖添加量6%。马奶酒酒香清雅,微酸爽口。