| 层次分析-灰色关联分析法评价黄姜皂素生产工艺 |
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| 引用本文： | 薛念涛,张国臣,陈 坚,纪玉琨,吕建波,王凯军.层次分析-灰色关联分析法评价黄姜皂素生产工艺[J].环境科学研究,2014,27(1):99-105. |
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| 作者姓名： | 薛念涛 张国臣 陈 坚 纪玉琨 吕建波 王凯军 |
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| 作者单位： | 1.清华大学环境学院, 环境模拟与污染控制国家重点联合实验室, 北京 100084 |
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| 基金项目： | 国家环境保护公益性行业科研专项(200909030)；国家水体污染控制与治理科技重大专项(2013ZX07504-004) |
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| 摘 要： | 运用层次分析-灰色关联分析法评价了6种黄姜皂素生产工艺. 用层次分析法确定了12项指标〔酸耗系数、水耗系数、能耗系数、单位产品废水CODCr产生量、废气产生量、固体废物产生量、污染物处理效果、环保成本(年环境代价/产品年产量)、环境系数(年环境代价/年产值)、成本投资、运行费用和资源综合利用收益)〕的权重,其中水耗系数、废水CODCr产生量、酸耗系数的权重分别为0.216、0.189、0.167,排在前三位,对评价结果影响较大. 通过专家打分、构造决策矩阵等步骤计算不同工艺指标列与最优指标集数据列的关联度,得到6种生产工艺的综合排序. 微波破壁-甲醇提取法的关联度为0.879,为最优工艺；直接分离法、直接分离-板框压滤法、糖化-膜分离回收-酸水解法的关联度分别为0.874、0.803、0.701,依次位列微波破壁-甲醇提取法之后. 直接酸水解法、自然发酵-酸水解法的关联度分别为0.530、0.410,排在最后,建议淘汰. 评价结果可望为黄姜皂素行业的健康发展、水污染防治等方面提供一定依据.
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| 关 键 词： | 黄姜 皂素 层次分析法 灰色关联分析法 生产工艺 |
| 收稿时间： | 2013/3/12 0:00:00 |
| 修稿时间： | 2013/10/14 0:00:00 |
Evaluation on Diosgenin Production Processes from Dioscorea zingiberensis C.H.Wright Using Analytical Hierarchy Process-Grey Relational Analysis |
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| Affiliation: | State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China;Beijing Guohuan Tsinghua Environment Engineering Design & Research Institute Co., Ltd., Beijing 100084, China;State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China;College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100022, China;State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China |
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| Abstract: | Diosgenin is an important precursor for production of steroidal drugs while Dioscorea zingiberensis C.H.Wright,is the most popular raw material for diosgenin production. However, wastewater from diosgenin production using D. zingiberensis C.H.Wright is an acidic organic wastewater with high CODCr concentration and deep color. Cleaner production is an effective method to prevent and treat the wastewater. Six diosgenin production processes from D. zingiberensis C.H.Wright were evaluated using analytic hierarchy process (AHP)-gray relational analysis. Weights of 12indicators (i.e., acid consumption coefficient, water consumption coefficient, energy consumption coefficient, wastewater production index per ton product, waste gas production index per ton product, solid waste production index per ton product, pollutant treatment effect, environmental protection cost, environment efficiency, cost investment, operation cost, gains of conprehensive resource utilization) were determined according to AHP. Weights of water consumption coefficient, wastewater production indicators, and the acid consumption coefficient were 0.216,0.189, and 0.167, respectively, as the top three indicatiors, which had a great impact on evaluation results. By steps of expert scoring and structure of decision matrix, associate degrees between process indicators column and data columns of optimal index set were calculated. Comprehensive ranking of the six production processes was obtained. Cell wall breakdown with microwave-methanol extraction, whose associate degree was 0.879, was optimal process. Direct separation method, direct separation-frame filter press, saccharification-membrane separation recovery, whose associate degree was 0.874,0.803,0.701, respectively, successively ranked after cell wall breakdown with microwave-methanol extraction. Direct acid hydrolysis and natural fermentation-acid hydrolysis, whose associate degree was 0.530,0.410, respectively, ranked the last two and could be considered to eliminate. The explorative evaluation and the results were expected to provide a reference for the sound development of industry of diosgenin production from D. zingiberensis C.H.Wright and water pollution prevention, etc. |
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| Keywords: | Dioscorea zingiberensis C H Wright diosgenin analytic hierarchy process gray relational analysis production process |
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