新型重金属絮凝剂二硫代羧基化羟甲基聚丙烯酰胺制备条件的优化

何宝菊, 王刚*, 徐敏, 常青

化工新型材料 ›› 2018, Vol. 46 ›› Issue (8) : 211 -216.

PDF (1680KB)
化工新型材料 ›› 2018, Vol. 46 ›› Issue (8) : 211-216.
科学研究

新型重金属絮凝剂二硫代羧基化羟甲基聚丙烯酰胺制备条件的优化

    何宝菊, 王刚*, 徐敏, 常青
作者信息 +

Optimization of preparation condition of novel heavy metal flocculant dithiocarboxyl hydroxymethy-polyacrylamide

  • He Baoju, Wang Gang, Xu Min, Chang Qing
Author information +
文章历史 +
PDF (1719K)

摘要

以聚丙烯酰胺、甲醛(HCHO)、二硫化碳(CS2)、氢氧化钠(NaOH)为原料制备新型重金属絮凝剂二硫代羧基化羟甲基聚丙烯酰胺(DTMPAM)。采用含Cu(Ⅱ)水样为考察对象,利用Plackett-Burman实验筛选出DTMPAM制备条件中的主要影响因素,再依据最陡爬坡实验确定出各主要影响因素的水平值,并以响应面法中的中心复合设计(CCD)模型对DTMPAM的制备条件进行优化。结果表明,CCD法建立的二次多项式模型回归性显著,且失拟项不显著,复相关系数R2为0.9275,模型拟合性良好。DTMPAM最优制备条件为:羟甲基聚丙烯酰胺(MPAM)质量分数0.5%。反应物MPAM、CS2、NaOH物质的量比1∶1.43∶1.43,预反应温度25℃、预反应时间60min、主反应温度45℃、主反应时间70min。在此条件下制备的DTMPAM对Cu(Ⅱ)的实际去除率为98.63%,与模型理论预测值98.86%接近,模型合理可靠。

Abstract

A novel heavy metal flocculant dithiocarboxyl hydroxymethy-polyacrylamide (DTMPAM) was synthesized with polyacrylamide,formaldehyde,carbon disulfide and sodium hydroxide.Taking removal rate of Cu(Ⅱ) in water samples as the main indicator,the main influencing factors in the preparation of DTMPAM was confirmed by Plackett-Burman experiment,and then the steepest ascent experiment was employed to approaching the level values of main influencing factors.Finally,the preparation conditions of DTMPAM were optimized through central composite design (CCD) of response surface methodology (RSM).The results showed that the regression of quadratic polynomial model established with CCD was significant while the lack of fit was not significant.The multiple correlation coefficient (R2) was 0.9275,which demonstrated the model had good fitness.The optimum conditions for the preparation of DTMPAM were as follows:the mass fraction of MPAM was 0.5%,the molar ratio of MPAM,CS2 and NaOH was 1∶1.43∶1.43,pre-reaction temperature was 25℃,pre-reaction time was 60min,main-reaction temperature was 45℃,and main-reaction time was 70min.Under the optimum conditions,the removal rate of Cu (Ⅱ) could reach 98.63%,which was close to the predicted value 98.86% of model.The result proved that the model established by RSM was reasonable and feasible.

关键词

絮凝剂 / 重金属 / Plackett-Burman实验 / 最陡爬坡实验 / 响应面法

Key words

flocculant / heavy metal / Plackett-Burman experiment / steepest ascent experiment / response surface methodology

引用本文

引用格式 ▾
新型重金属絮凝剂二硫代羧基化羟甲基聚丙烯酰胺制备条件的优化[J]. 化工新型材料, 2018, 46(8): 211-216 DOI:

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1] 郭燕妮,方增坤,胡杰华,等.化学沉淀法处理含重金属废水的研究进展[J].工业水处理,2011,31(12):9-13.
[2] Srivastava S,Thakur I S.Biosorptionpotency of aspergillus niger for removal of chromium(Ⅵ)[J].Current Microbiology,2006,53(3):232-237.
[3] Cavaco S A,Fernandes S,Quina M M,et al.Removal of chromium from electroplating industry effluents by ion exchangeresins[J].Journal of Hazardous Materials,2007,144(3):634-638.
[4] 王文丰,黄翠萍.螯合沉淀法处理含重金属离子废水[J].中国给水排水,2002,18(10):49-50.
[5] Baltpurvins K A,Burns R C,Lawrance G A.Heavy metals in wastewater modeling the hydroxide precipitation of copper(Ⅱ) from wastewater using lime as the precipitant[J].Waste Management,1996,16(8):717-725.
[6] 常青,安瑜,于明泉.高分子重金属絮凝剂的制备及含铜废水处理[J].环境化学,2006,25(2):176-179.
[7] 王刚,常青.高分子重金属絮凝剂PEX捕集Ni2+及除浊性能研究[J].环境科学学报,2007,27(5):763-769.
[8] 刘忠,赵丽丽.二次响应面法用于L-缬氨酸发酵培养基的优化[J].南开大学学报:自然科学版,2009,42(1):24-28.
[9] 邓金梅,罗序燕,祝婷,等.聚丙烯酰胺类复合絮凝剂对金属离子吸附的研究进展[J].化工新型材料,2017,45(2):19-21.
[10] 蔡文胜,张熙,黄荣华.聚丙烯酰胺的羟基化反应与产物结构表征[J].四川联合大学学报:工程科学版,1998,2(4):108-114.
[11] Naveena B J,Altaf M,Bhadriah K,et al.Selection of medium components by plackett-burman design for production of L(+) lactic acid by lactobacillus amylophilus GV6 in SSF using wheat bran[J].Bioresource Technology,2005,96(4):485-490.
[12] 杜凤龄,王刚,徐敏,等.新型高分子螯合-絮凝剂制备条件的响应面法优化[J].中国环境科学,2015,35(4):11-16.
[13] Kiran B,Kaushik A,Kaushik C P.Response surface methodological approach for optimizing removal of Cr(Ⅵ) from aqueous solution using immobilized cyanobacterium[J].Chemical Engineering Journal,2007,126(2):147-153.
[14] Ahmad A L,Ismail S,Bhatia S.Optimization of coagulation-flocculation process for palm oil mill effluent using response surface methodology[J].Environmental Science Technology,2005,39(8):2828-2834.
[15] 张智,尹晓静.响应面法优化曝气微电解预处理榨菜废水工艺[J].环境科学与技术,2011,34(9):136-138.
[16] 黄静,陈珏俐,吴庆定.杨木粉无胶成形工艺参数优化[J].东北林业大学学报,2012,40(2):81-102.
[17] Muralidhar R V,Chirumamila R R,Marchant R,et al.A response surface approach for the comparison of lipase production by Candida cylindracea using two different carbon sources[J].Biochemical Engineering Journal,2001,9(1):17-23.

基金资助

国家自然科学基金项目(51368030)

AI Summary AI Mindmap
PDF (1680KB)

668

访问

0

被引

导航
相关文章

AI思维导图

/