连续流新型厌氧反应器处理固体有机废物研究

采用自行设计的连续流厌氧消化反应器,接种瘤胃微生物后,对纤维素进行连续降解,固体有机物质负荷可以达到14g/L·d。在此符合范围内,反应器内pH值、挥发酸产量及产气量都很稳定,不会对反应产生抑制作用。     

用氟化钾水溶液从制药废液中回收吡啶

研究了普通精馏与加盐分相技术在回收吡啶中的应用。测定了吡啶 水 氟化钾体系在25℃时的液液相平衡数据,采用Pitzer理论和UNIQUAC方程对相平衡数据进行了理论计算,结果表明计算值与实验值符合良好。采用氟化钾水溶液回收吡啶,当60%氟化钾浓溶液与50%吡啶/50%水的物料的质量比为2.0时,有机相中吡啶的纯度可达到92.60%(质量分数),水相中氟化钾稀溶液经蒸发回收后循环使用不影响分离性能。该工艺的开发成功为制药行业从制药废液中回收吡啶开辟了一条新途径。     

处理乙硫醇废气生物滤池中微生物的初步鉴定

生物滤池是废气生物处理的主要技术之一 ,其生物相包括细菌和真菌 .对于疏水性有机物质 ,真菌具有更高的处理效率 ,而且真菌对环境的适应性也比细菌强 .本研究采用生物滤池处理含乙硫醇废气 ,通过对生物滤池填料上附着的微生物进行分离鉴定表明 ,初步判定分离出的菌株分别为常现青霉、宛氏拟青霉、文氏曲霉和顶孢头孢霉 .     

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.     

The role of lipids in fermentative propionate production from the co-fermentation of lipid and food waste

● Lipid can promote PA production on a target from food waste. ● PA productivity reached 6.23 g/(L∙d) from co-fermentation of lipid and food waste. ● Lipid promoted the hydrolysis and utilization of protein in food waste. ● Prevotella , Veillonella and norank _f _Propioni bacteriaceae were enriched. ● Main pathway of PA production was the succinate pathway. Food waste (FW) is a promising renewable low-cost biomass substrate for enhancing the economic feasibility of fermentative propionate production. Although lipids, a common component of food waste, can be used as a carbon source to enhance the production of volatile fatty acids (VFAs) during co-fermentation, few studies have evaluated the potential for directional propionate production from the co-fermentation of lipids and FW. In this study, co-fermentation experiments were conducted using different combinations of lipids and FW for VFA production. The contributions of lipids and FW to propionate production, hydrolysis of substrates, and microbial composition during co-fermentation were evaluated. The results revealed that lipids shifted the fermentation type of FW from butyric to propionic acid fermentation. Based on the estimated propionate production kinetic parameters, the maximum propionate productivity increased significantly with an increase in lipid content, reaching 6.23 g propionate/(L∙d) at a lipid content of 50%. Propionate-producing bacteria Prevotella, Veillonella, and norank_f_Propionibacteriaceae were enriched in the presence of lipids, and the succinate pathway was identified as a prominent fermentation route for propionate production. Moreover, the Kyoto Encyclopedia of Genes and Genomes functional annotation revealed that the expression of functional genes associated with amino acid metabolism was enhanced by the presence of lipids. Collectively, these findings will contribute to gaining a better understanding of targeted propionate production from FW.     

Economic simulation modeling of reprocessing alternatives for corn masa byproducts

Increasing production of corn masa for tortillas, chips, and related snack foods is resulting in large quantities of organic residuals requiring environmentally sound management. These byproduct streams appear suitable for use as livestock feed material, thus eliminating landfilling costs. Possibilities for developing livestock feed include direct shipping to livestock feeding facilities, blending prior to shipping, extrusion processing, pellet mill processing, and dehydration. To assess the viability of these options for reprocessing masa byproducts as livestock feed materials, an economic model was developed and applied to each of these alternatives. Through a series of simulation runs with this model, it was determined that direct shipping was by far the most inexpensive means of recycling masa processing residuals (10–57 $/Mg). Other alternatives examined in increasing order of costs included blending prior to shipping, extrusion, pellet mill processing (3–15, 5–18, and 4–18 times greater than direct shipping, respectively), while dehydration was clearly cost-prohibitive (33–81 times greater). Bagged feed was slightly more expensive to produce than bulk feed (1.1 times greater), and reprocessing costs increased as delivery distance increased, due to increased labor, equipment, and fuel costs, but decreased as byproduct generation rate increased, due to the development of the economies of scale. Alternately, based on a tipping fee of 50 $/Mg, the total estimated cost to landfill ranged from 65 to 112 $/Mg. Based on this cost analysis, direct shipping and feeding to livestock is the recycling option of choice for masa processing byproducts. Although specific details of process configurations and associated costs will vary, similar results are likely for other high moisture food processing residuals destined for utilization as livestock feed or components thereof.     

电子废弃物中持久性有机污染物分析检测方法的研究进展

针对目前电子废弃物中持久性有机污染物(POPs)尚未形成有效快速分析检测方法的问题,介绍了溶剂萃取、固相萃取、微波萃取和超临界流体萃取等POPs前处理技术的研究进展,总结了POPs的分析方法,如:气相色谱、液相色谱、气相色谱-质谱法、高分辨率气相色谱-高分辨质谱法等化学分析方法,以及生物传感器测定法、表面胞质团共振检测法、酶联免疫检测法等生物分析方法。分析了各方法的优劣,并提出了展望。     

高效液相色谱-串联质谱法同时测定地表水中33种药物

采用固相萃取-高效液相色谱-串联质谱法(SPE-HPLC-MS/MS)建立了地表水中25种抗生素类药物和8种非抗生素类药物的分析方法。通过重点优化质谱参数、色谱条件、样品pH、洗脱溶剂组成及用量等确定了最佳分析条件。水样经过滤、固相萃取柱富集净化后,选择Shim-pack XR-ODS为色谱柱,以乙腈和0.2%甲酸-2 mmol/L乙酸铵-水溶液为流动相进行梯度洗脱,采用电喷雾电离源,在多反应监测模式下(MRM)分析测定,内标法定量。33种药物的仪器定量限为0.012～4.68 ng/L,方法检出限为0.011～7.60 ng/L,地表水加标回收率为53.7%～122%,相对标准偏差为1.22%～32.1%(n=6)。方法成功应用于北京市凉水河12个地表水样分析,共检出32种药物,检出质量浓度为未检出～239 ng/L。利托那韦(RTV)作为新型冠状病毒诊疗方案中推荐的药物在凉水河检出率为100%。     

利用粉煤灰处理生活污水的试验研究

以火电厂贮灰场粉煤灰为吸附剂,以生、活污水为吸附对象,通过间歇吸附试验,分析了各因素对粉煤灰吸附性能的影响,并找出了粉煤灰对生活污水中化学耗氧物质(COD)的吸附规律。     

催化燃烧法处理聚酯工艺废气的实践

探索研究使用催化燃烧方法处理聚酯生产工艺废气的可行性，并在生产装置上进行了中试。试验结果证明，使用催化燃烧法处理效果好，不产生二次污染，处理后的废气可达标排放。