Statistical optimization of operating parameters of microbial electrolysis cell treating dairy industry wastewater using quadratic model to enhance energy generation

The performance of Microbial electrolysis cell (MEC) is affected by several operating conditions. Therefore, in the present study, an optimization study was done to determine the working efficiency of MEC in terms of COD (chemical oxygen demand) removal, hydrogen and current generation. Optimization was carried out using a quadratic mathematical model of response surface methodology (RSM). Thirteen sets of experimental runs were performed to optimize the applied voltage and hydraulic retention time (HRT) of single chambered batch fed MEC operated with dairy industry wastewater. The operating conditions (i.e) an applied voltage of 0.8 V and HRT of 2 days that showed a maximum COD removal response was chosen for further studies. The MEC operated at optimized condition (HRT- 2 days and applied voltage- 0.8 V) showed a COD removal efficiency of 95 ± 2%, hydrogen generation of 32 ± 5 mL/L/d, Power density of 152 mW/cm² and current generation of 19 mA. The results of the study implied that RSM, with its high degree of accuracy can be a reliable tool for optimizing the process of wastewater treatment. Also, dairy industry wastewater can be considered to be a potential source to generate hydrogen and energy through MEC at short HRT.     

Heterogeneously Catalyzed Methanolysis of Gmelina Seed Oil to Biodiesel

The heterogeneous catalysis of transesterification of gmelina seed oil to biodiesel is evaluated. The oil was extracted from the seeds with n‐hexane by solvent extraction and characterized to determine its physiochemical properties. Response surface methodology was applied to optimize the effect of process variables on the biodiesel yield. The base‐activated clay catalyst performed as montmorillonite clay with the characteristic property of a Brønsted acid. It has an improved surface area after activation that enhanced its catalytic activity on transesterification reaction. Under optimal conditions, the biodiesel yield was 70.1 %, thus demonstrating that the model predicted well the biodiesel production.     

咖啡渣活性炭的制备、表征及其对Cr(Ⅵ)的吸附机制研究

以碘吸附值为评价指标，活化时间、活化温度和浸渍比为影响因素，采用响应面法试验设计对磷酸活化法制备咖啡渣活性炭的工艺条件进行优化，并通过静态吸附试验研究了不同吸附时间、溶液pH值和吸附温度条件下，活性炭对水溶液中Cr（Ⅵ）吸附性能的影响，最后利用Langmuir、Freundlich吸附等温方程、准一级动力学方程、准二级动力学方程和颗粒内部扩散方程进行拟合。试验结果表明，制备咖啡渣活性炭的最佳工艺条件为活化时间1 h、活化温度498℃、浸渍比1.72；在此条件下活性炭得率为30.4%，碘吸附值为（799±16）mg/g，比表面积为1 006 m²/g，孔容为0.779 cm³/g、微孔孔容为0.051 cm³/g、平均孔径为3.088 nm。较低pH值和较高温度能够促进活性炭对Cr（Ⅵ）的吸附；Langmuir等温方程能够更好地描述活性炭对Cr（Ⅵ）的吸附效果；活性炭对Cr（Ⅵ）的吸附分3个阶段：快速吸附阶段、慢速吸附阶段和吸附平衡阶段，10 min内可完成吸附总量的79%，360 min内达到吸附平衡，该吸附过程符合准二级吸附动力学方程。分析表明咖啡渣活性炭对Cr（Ⅵ）的吸附主要为单分子层的化学吸附。     

响应面法优化油茶粕培养里氏木霉酶系活力条件及发酵工艺研究

以油茶粕为底物,对里氏木霉发酵进行培养,研究了油茶粕比例、微晶纤维素添加量、接种量和pH对里氏木霉纤维素酶活力的影响。在单因素实验的基础上,采用响应面分析,优化发酵条件为:油茶粕比例为8. 6%,微晶纤维素添加量为0. 93%,接种量为12. 48%,pH值为4. 9。在该条件下,羧甲基纤维素酶活力为8. 47 U/mL,微晶纤维素酶活力为9. 28 U/mL,纤维二糖酶活力为5. 05 U/mL,滤纸酶活力为5. 44 U/mL。     

响应面优化水酶法提取裂壶藻油的工艺

以裂壶藻干藻粉为原料,以清油得率为评价指标,采用两步酶解法提取油脂。在单因素实验的基础上,对清油得率影响较大的碱性蛋白酶的作用条件应用响应面法进行优化,依据回归分析确定碱性蛋白酶的最适作用条件。结果表明,水酶法提取裂壶藻油的最适工艺条件为:料液比1∶7,中性蛋白酶添加量7%,酶解温度45℃,酶解时间3 h,酶解p H 6.5;碱性蛋白酶添加量10%,酶解温度68℃,酶解时间6 h,酶解p H 9.4。在最适工艺条件下,裂壶藻清油得率可以达到(91.37±0.14)%。气相色谱-质谱分析裂壶藻油中不饱和脂肪酸含量为47.43%,其中DHA含量为35.09%。     

Optimization of the extraction of phenolic compounds from red grape marc (Vitis vinifera L.) using response surface methodology

Optimization of the extraction of total polyphenols (TPC), flavanols (FL), total anthocyanins (TA) and total tannins (TT) from grape marc by the response surface methodology is important to improve the recovery of these high-value phytochemicals. The independent variables studied were ethanol concentration (% EtOH), extraction time (h) and liquid-to-solvent ratio (L/S). TPC, FL, TT and TA showed different patterns of extractability, with significant variation in the linear, quadratic and interaction effects of the independent variables. The optimal extraction conditions were determined and the quadratic response surfaces were drawn from the mathematical models. The optimal extraction conditions were: 57% EtOH, 17?h, 50:1 L/S for TPC; 57% EtOH, 13?h, 50:1 L/S for FL; 62% EtOH, 16?h, 50:1 L/S for TT and 52% EtOH, 6?h, 10:1 L/S for TA. These optimum conditions yielded: 24?mg GAE/g DM of TPC; 1.5?mg quercetin/g DM of FL; 18?mg catechin/g DM of TT and 6?mg malvidin/g DM of TA.     

Response surface optimisation of germination conditions to improve the accumulation of bioactive compounds and the antioxidant activity in quinoa

Germination has been proposed as an economic approach to improve the content of bioactive compounds in pseudocereals. In this work, response surface methodology (RSM) was employed to investigate the impact of germination conditions on the phytochemical content and antioxidant activity of quinoa. The use of desirability methodology showed that the optimum conditions to maximise the content of total phenolic content (TPC) and antioxidant activity in sprouted quinoa were 20 °C for 42 h. Sprouts produced under these conditions exhibited increases of 80% and 30% in TPC and antioxidant activity, respectively, compared to un‐germinated seeds, and contained high γ‐aminobutyric acid (GABA) concentration. The nonsignificant lack‐of‐fit and high determination coefficients obtained confirmed the suitability of the predictive models developed for TPC and antioxidant activity, whilst the one obtained for GABA was not significant (R² < 0.75) within the conditions studied. Sprouting under optimum conditions enhanced the content of both flavonoid and nonflavonoid compounds, being the increase in flavonoids more pronounced. Kaempferol‐O‐dirhamnosyl‐galactopyranose and quercetin‐O‐glucuronide were the compounds that experienced the most noticeable increase in quinoa after germination. In conclusion, this study provides useful information on the optimum germination conditions to improve the levels of health‐promoting compounds in quinoa.     

响应面曲线法优化贵州某磷块岩浮选工艺研究

对贵州某沉积钙质磷块岩进行了浮选工艺研究。采用H₂SO₄为氟磷灰石抑制剂、BW-1为白云石捕收剂,进行了浮选单因素试验; 在此基础上进行了正交试验,并采用响应面曲线法进行了浮选条件优化。确定了最佳浮选条件为: 磨矿细度-0.074 mm粒级占60%、H₂SO₄用量13.20 kg/t和BW-1用量400 g/t。采用一段反浮选试验流程,可得到精矿品位30.94%、回收率92.45%的磷精矿。研究结果表明,磨矿细度与H₂SO₄用量的交互作用对精矿品位影响显著,H₂SO₄用量和BW-1用量的交互作用对精矿回收率影响显著。     

真空油炸马铃薯脆片预处理工艺优化

为优化马铃薯脆片的预处理工艺,采用单因素和响应面试验,以破碎力、含油量、L*值、感官评分、综合评分和电子鼻检测挥发性成分为指标,对实验数据进行主成分分析。结果表明:不同的预处理方式对马铃薯脆片的破碎力、感官评价和综合评分有显著影响(p0.05)。主成分分析共提取5个主成分,前3个主成分总贡献率大于85%,说明提取3个主成分能够全面反映马铃薯脆片的品质信息,决定第1主成分的指标主要是感官评价和综合评分,决定第2主成分的是破碎力和含油量;决定第3主成分的是L*值和含油量。以主成分分析得到的规范化综合得分为响应值建立的二次多项式回归模型回归效果极显著(p0.01,R~2=0.9604)。确定最佳工艺参数为漂烫温度91℃、漂烫时间4 min、切片厚度4 mm和冷冻时间3 h,在此条件得到规范化综合评分0.9572,与预测值(0.9453)相接近,表明以主成分分析得到的规范化综合评分为响应值建立的回归模型具有良好的预测能力。