多菌种混合发酵转化秸秆技术的研究及应用进展

农作物秸秆是农业生产的副产品,也是一项重要的生物资源。利用微生物的广泛适应性和多功能性来转化秸秆已日益受到国内外科学研究者重视,特别是多菌种混合发酵是将秸秆纤维素转化为蛋白质、乙醇、乙酸等最具发展前景的方法。文章通过混合菌降解秸秆纤维,转化利用秸秆制蛋白饲料、燃料酒精、农用沼气等方面,对混合菌发酵转化秸秆技术的研究进展进行阐述。混合菌发酵转化秸秆已成为农业综合开发领域的一个亮点,正在朝着多元化,深层次的方向发展。     

戊唑醇残留分析方法实验室内质量控制研究

文章确立了小麦、香蕉中戊唑醇残留检测方法,小麦样品加水10 mL用丙酮为萃取溶剂,石油醚液液分配,中性氧化铝柱层析净化,用气相色谱(GC-NPD)检测。香蕉样品加水5 mL用丙酮为萃取溶剂,石油醚液液分配,浓缩后用气相色谱(GC-NPD)检测。分别设置不同时间批次,同一批次间的平行样及实验室内人员分析,分别从方法灵敏度、方法准确度、方法精密度及其质量控制图、标准工作液的稳定性来探讨该方法的可靠性,结果表明该方法可以作为香蕉和小麦种戊唑醇残留检测的标准分析方法。     

Removal of phosphate from wastewater using alkaline residue

Alkaline residue(AR) was found to be an efficient adsorbent for phosphate removal from wastewater. The kinetic and equilibrium of phosphate removal were investigated to evaluate the performance of modified alkaline residue. After treatment by NaOH(AR-NaOH), removal performance was significantly improved, while removal performance was almost completely lost after treatment by HCl(AR-HCl). The kinetics of the removal process by all adsorbents was well characterized by the pseudo second-order model. The Langmuir model exhibited the best correlation for AR-HCl, while AR was effectively described by Freundlich model. Both models were well fitted to AR-NaOH. The maximum adsorption capacities calculated from Langmuir equation were in following manner: AR-NaOH AR AR-HCl. Phosphate removal by alkaline residue was pH dependent process. Mechanisms for phosphate removal mainly involved adsorption and precipitation, varied with equilibrium pH of solution. For AR-HCl, the acid equilibrium pH( 6.0) was unfavorable for the formation of Ca-P precipitate, with adsorption as the key mechanism for phosphate removal. In contrast, for AR and ARNaOH, precipitation was the dominant mechanism for phosphate removal, due to the incrase on pH( 8.0) after phosphate removal. The results of both XRD and SEM analysis confirmed CaHPO4·2H2O formation after phosphate removal by AR and AR-NaOH.     

Removal of polycyclic aromatic hydrocarbons from aqueous solution by raw and modified plant residue materials as biosorbents

Removal of polycyclic aromatic hydrocarbons （PAHs）, e.g., naphthalene, acenaphthene, phenanthrene and pyrene, from aqueous solution by raw and modified plant residues was investigated to develop low cost biosorbents for organic pollutant abatement. Bamboo wood, pine wood, pine needles and pine bark were selected as plant residues, and acid hydrolysis was used as an easily modification method. The raw and modified biosorbents were characterized by elemental analysis, Fourier transform infrared spectroscopy and scanning electron microscopy. The sorption isotherms of PAHs to raw biosorbents were apparently linear, and were dominated by a partitioning process. In comparison, the isotherms of the hydrolyzed biosorbents displayed nonlinearity, which was controlled by partitioning and the specific interaction mechanism. The sorpfion kinetic curves of PAHs to the raw and modified plant residues fit well with the pseudo second-order kinetics model. The sorption rates were faster for the raw biosorbents than the corresponding hydrolyzed biosorbents, which was attributed to the latter having more condensed domains （i.e., exposed aromatic core）. By the consumption of the amorphous cellulose component under acid hydrolysis, the sorption capability of the hydrolyzed biosorbents was notably enhanced, i.e., 6-18 fold for phenanthrene, 6-8 fold for naphthalene and pyrene and 5-8 fold for acenaphthene. The sorpfion coefficients （Kd） were negatively correlated with the polarity index [（O＋N）/C], and positively correlated with the aromaticity of the biosorbents. For a given biosorbent, a positive linear correlation between logKoc and logKow for different PAHs was observed. Interestingly, the linear plots of logKoc-logKow were parallel for different biosorbents. These observations suggest that the raw and modified plant residues have great potential as biosorbents to remove PAHs from wastewater.     

CALPUFF模型在某露天煤矿煤尘模拟中的应用

煤炭露天开采是我国煤炭生产的主要方法,为了验证CALPUFF模型在露天开采中,对煤尘浓度的模拟情况,本文耦合使用MM5/CALMET及CALPUFF软件,对某露天煤矿煤尘浓度进行模拟,并与监测值进行对比分析,发现监测值和模拟值的相关系数最高可达0.88,说明模拟值具有较高可信度.     

长三角地区秸秆燃烧排放因子与颗粒物成分谱研究

为获取长三角地区秸秆燃烧污染物排放因子及其颗粒物成分谱,利用自行设计开发的开放式燃烧源排放测试系统,选取小麦、水稻、油菜、豆秸和薪柴等5类典型作物秸秆,分别采用露天焚烧和炉灶燃烧2种燃烧方式,实测其气态污染物和颗粒物排放特征.结果表明,露天燃烧各类秸秆的CO、NOx和PM2.5平均排放因子约为28.7、1.2和2.65 g·kg-1,由于炉灶氧含量相对较低,燃烧不充分,其污染物排放因子总体高于露天燃烧,分别为81.9、2.1和8.5 g·kg-1.各类秸秆中,油菜的排放水平相对较高.含碳组分(OC和EC)是生物质秸秆燃烧产生PM2.5的主要组成,在露天燃烧中OC和EC的质量分数分别占(38.92±13.93)%和(5.66±1.54)%;炉灶燃烧中OC和EC分别为(26.37±10.14)%和(18.97±10.76)%.Cl-、K+等水溶性离子也有较大贡献,在露天燃烧中分别为(13.27±6.82)%和(12.41±3.02)%;在炉灶燃烧中分别为(16.25±9.34)%和(13.62±7.91)%.小麦、水稻、油菜和豆秸等作物秸秆露天燃烧排放颗粒物的K+/OC值分别为0.30、0.52、0.49和0.15,这些特征值可用于判断长三角区域空气质量受秸秆燃烧排放影响的程度,为大气污染来源解析提供直接的判断依据.     

春节期间南京市大气气溶胶粒径分布特征

为研究春节期间燃放烟花爆竹对城市大气气溶胶数浓度粒径谱分布的影响,对2012年1月19~31日南京大气气溶胶数浓度、污染气体浓度和质量浓度进行了观测分析.结果表明,烟花爆竹的燃放期间10~20 nm气溶胶浓度远低于非燃放期,50~100、100~200和200~500 nm数浓度有较大增加,20~50 nm和0.5~10μm气溶胶数浓度变化不大.烟花爆竹的燃放对气溶胶数浓度谱影响较大,非燃放期数浓度谱为双峰型分布;在燃放期数浓度谱为单峰性分布,且峰值向大粒径段偏移.烟花爆竹燃放期间质量浓度谱为双峰型分布,对细粒子的质量浓度影响较大,燃放期间PM2.5/PM10和PM1.0/PM10的值可升高10%.烟花爆竹的大量燃放对1.0~2.1μm粒径段气溶胶密度影响最大,对其他粒径段密度影响较小.     

秸秆烟尘和灰烬中元素碳的稳定同位素组成

选取稻草、麦草和玉米秸秆各6个品种,进行室内模拟焚烧试验,用同位素质谱计测定了灰烬和烟尘中元素碳(EC)的同位素比值.结果表明,稻草明火和闷烧烟尘中EC的δ13C平均值分别是-28.3‰、-28.7‰,比稻草总碳分别轻2.7‰、3.0‰.麦草明火和闷烧烟尘中EC的δ13C平均值分别为-28.5‰、-28.0‰,比麦草总碳分别轻0.1‰、重0.4‰.玉米秸秆明火和闷烧烟尘中EC的δ13C平均值分别为-17.2‰、-13.6‰,比秸秆总碳分别轻3.4‰、重0.2‰.在稻草明火和闷烧灰烬中,EC的δ13C平均值分别是-27.5‰、-27.3‰,比稻草总碳分别轻1.8‰、1.6‰.在麦草的明火和闷烧灰烬中,EC的δ13C平均值分别为-27.4‰和-26.0‰,比麦草总碳分别重0.9‰和2.4‰.在玉米秸秆的明火和闷烧灰烬中,EC的δ13C平均值分别为-15.0‰和-14.8‰,比玉米秆总碳分别轻1.2‰和1.0‰.3类秸秆,尤其是稻草和玉米秸秆,其烟尘和灰烬中的EC均发生了明显的同位素分馏.其同位素组成对于识别和估算大气气溶胶中此类秸秆燃烧来源的EC有参考意义.     

餐厨废弃物资源化利用与政府监管的探讨——以苏州市为例

以苏州市餐厨垃圾管理为例,从资源化处理、市场化运营模式与政府监管的角度出发,通过理论与实践相结合,对中国餐厨废弃物资源化利用的特点和现状进行分析,借鉴国内外先进工艺及管理经验,结合中国实施餐厨废弃物资源化利用和无害化处理地区的实施情况,指出并剖析在餐厨废弃物资源化不同处理模式中存在的问题,提出了加强餐厨废弃物管理的建议方案和对策.     

NUA-DAS生态滤池脱氮效果与反硝化菌特征研究

构建小型酸中和残渣(neutralized-used acid residue,NUA)和脱水铝污泥(dewatered alum sludge,DAS)联合生态滤池,研究了NUA-DAS生态滤池的脱氮效果和反硝化菌特征.系统运行稳定后,装置总出水中COD、TN、NO_3~--N的平均去除率达到60%、70%和95%,出水中NO_3~--N的浓度范围只有0.02~0.55 mg·L~(-1).采用PCR-DGGE分子生物学技术检测系统运行30d和60d各滤料层中含3类基因(nirS、nirK和nosZ)的反硝化菌群落特征,包括丰富度及相似度.结果表明,系统运行30 d和60 d里,nirS、nirK和nosZ基因反硝化菌丰富度均有明显增加,且处在各个滤料层中的反硝化菌丰富度基本相同.NUA和DAS滤料中检测出3类基因丰富度指数大小均为nosZnirKnirS.运行时间对反硝化菌的群落结构影响并不明显,但空间位置有一定影响.反硝化菌在NUA中的适应能力优于DAS,3类基因中nirK基因对滤料环境的适应能力最强.