Hybrid energy harvesting systems for self-powered sustainable water purification by harnessing ambient energy

● Energy harvesters harness multiple energies for self-powered water purification. ● Hybrid energy harvesters enable continuous output under fluctuating conditions. ● Mechanical, thermal, and solar energies enable synergic harvesting. ● Perspectives of hybrid energy harvester-driven water treatment are proposed. The development of self-powered water purification technologies for decentralized applications is crucial for ensuring the provision of drinking water in resource-limited regions. The elimination of the dependence on external energy inputs and the attainment of self-powered status significantly expands the applicability of the treatment system in real-world scenarios. Hybrid energy harvesters, which convert multiple ambient energies simultaneously, show the potential to drive self-powered water purification facilities under fluctuating actual conditions. Here, we propose recent advancements in hybrid energy systems that simultaneously harvest various ambient energies (e.g., photo irradiation, flow kinetic, thermal, and vibration) to drive water purification processes. The mechanisms of various energy harvesters and point-of-use water purification treatments are first outlined. Then we summarize the hybrid energy harvesters that can drive water purification treatment. These hybrid energy harvesters are based on the mechanisms of mechanical and photovoltaic, mechanical and thermal, and thermal and photovoltaic effects. This review provides a comprehensive understanding of the potential for advancing beyond the current state-of-the-art of hybrid energy harvester-driven water treatment processes. Future endeavors should focus on improving catalyst efficiency and developing sustainable hybrid energy harvesters to drive self-powered treatments under unstable conditions (e.g., fluctuating temperatures and humidity).     

Mechanistic insights into the selective photocatalytic degradation of dyes over TiO2/ZSM-11

● TiO₂/ZSM-11 was prepared by a facile solid state dispersion method. ● Mechanism for photocatalytic degradation of dyes was investigated. ● Both experimental and MD simulations were conducted. ● Chemisorption instead of electrostatic interaction played a critical role. Photocatalytic degradation is a promising way to eliminate dye contaminants. In this work, a series of TiO₂/ZSM-11 (TZ) nanocomposites were prepared using a facile solid state dispersion method. Methyl orange (MO), methylene blue (MB), and rhodamine B (RhB) were intentionally chosen as target substrates in the photocatalytic degradation reactions. Compared to pristine TiO₂, negative effect was observed on MO degradation while promoted kinetics were collected on MB and RhB over TZ composites. Moreover, a much higher photocatalytic rate was interestingly achieved on RhB than MB, which indicated that a new factor has to be included other than the widely accepted electrostatic interaction mechanism to fully understand the selective photodegradation reactions. Systematic characterizations showed that TiO₂ and ZSM-11 physically mixed and maintained both the whole framework and local structure without chemical interaction. The different trends observed in surface area and the photo-absorption ability of TZ composites with reaction performance further excluded both as the promotion mechanism. Instead, adsorption energies predicted by molecular dynamics simulations suggested that differences in the adsorption strength played a critical role. This work provided a deep mechanistic understanding of the selective photocatalytic degradation of dyes reactions, which helps to rationally design highly efficient photocatalysts.     

温度对悬浮载体流化床处理效能的影响

悬浮载体流化床是一种新型反应器。介绍了该反应器的特点及试验方法,并通过试验考察温度对悬浮载体流化床处理效能的影响,结果表明:温度对反应器去除COD效果影响不明显,对氨氮和总氮的去除效果则有一定影响。     

湖泊营养物基准的制定方法研究进展

系统论述了国外湖泊营养物基准制定程序和技术方法,重点分析了国外营养物基准指标的选取和确定湖泊营养参照状态的方法,并分析了其适用性和可行性.湖泊营养物基准指标的选取要综合考虑富营养化控制关键因子和不同分区湖泊区域差异性,所选指标要具有相对稳定、因地制宜、早期预警等特点.湖泊参照状态的确定主要包括调查数据和历史数据的统计分析、模型预测和推断、古湖沼学重建等方法.统计学方法充分利用历史及现状的实测水质和生物数据,保证制定的基准适用于大多数湖泊,对于历史监测资料缺乏或污染严重的湖泊,该方法确定参照状态较困难;模型预测和推断方法用于受人类影响较严重的湖泊参照状态确定,但也需要大量数据进行校准和验证;古湖沼学重建法利用湖泊沉积重建湖泊自然营养本底和定量恢复历史时期湖泊营养状态演化序列,进而推导湖泊参照状态,需要复杂的数据分析和专家判断,同时也难以适用于沉积物受扰动较大的浅水湖泊.我国的大部分湖泊普遍受人类影响较大,历史数据稀缺,不同分区湖泊的差异性显著,针对国外营养物基准制定方法优缺点,需要加以优化改进,建立我国完善的湖泊营养物基准制定方法体系,指导我国湖泊营养物基准的制定.     

葛根保健食品的开发及利用

作者论述了葛根的生长习性、资源分布、保健药效、化学组成及其加工特性,并在此基础上,提出了利用我国野葛自然资源优势开发生产系列保健食品的途径。     

阳澄湖和滆湖微囊藻毒素分布及其与富营养化因子的关系

2013年6—10月进行了阳澄湖和滆湖的水样采集及分析,对水体中胞内和胞外3种微囊藻毒素(MC-LR,MCRR,MC-YR)和TN、TP、Chl-a等富营养化指标在两湖的分布情况及关系进行了研究。结果表明,阳澄湖的微囊藻毒素及富营养化因子浓度在不同点位的差异小,而滆湖从北部到南部呈下降趋势,两湖相比,滆湖的浓度远远高于阳澄湖;富营养化因子影响微囊藻毒素的浓度分布和变化;相关性分析表明MC-LR、MC-RR和MC-YR与CODMn、TN、TP、PO3-4-P、Chl-a分别呈极显著正相关性(P0.01),MC-LR、MC-YR与NH+4-N呈显著负相关(P0.05);逐步回归性分析显示Chl-a是影响3种微囊藻毒素浓度的关键因子,可以通过Chl-a对水体中MCs的浓度进行预测,为微囊藻水华和微囊藻毒素污染的预警提供重要的科学参考。     

巢湖表层沉积物中重金属的分布特征及其污染评价

以巢湖表层沉积物为研究对象,利用BCR连续提取法研究了沉积物中Cr、Co、Ni、Cu、Cd、Zn、V和Pb等8种重金属元素的分布特征,同时运用潜在风险指数法和地累积指数法综合评价了巢湖沉积物中重金属的生态风险。结果表明,巢湖沉积物中的重金属含量在空间上表现出东西高、中间低的分布特征。巢湖表层沉积物中Cr、Co、Ni、V和Cu 5种重金属都主要以残渣态为主,Zn和Cd主要以弱酸提取态为主,Pb以可还原态为主,同时,Co和Cu 2种元素的可交换态及可还原态含量占有较高比例,具有潜在危害性。相关性分析显示,Cr、Cu、Pb、Ni、Zn和Cd 6种重金属元素的来源和分布可能具有相似性,Co和V 2种重金属元素具有相似的地球化学行为且其主要来源可能与其他几种重金属不同。潜在生态风险指数评价结果表明,巢湖表层沉积物中8种重金属元素构成的生态危害顺序为:Cd>Pb>Co>Cu>Ni>Zn>V>Cr,Cd具有高的生态危害等级,其他7种重金属元素均为低生态危害等级。地累积指数法评价结果表明:巢湖沉积物重金属元素的富集程度为Cd>Zn>Pb>Co>Cu>V>Ni>Cr,Cr属于清洁级别,Co、Cu、V和Ni处于轻度污染水平,Zn和Pb处于偏中度污染,Cd达到了重污染水平。     

添加VT菌剂和有机物料腐熟剂对堆肥的影响

通过在高温好氧堆肥中分别添加VT菌剂和有机物料腐熟剂,研究接种3‰的VT菌剂和有机物料腐熟剂促进堆肥的作用效果。结果表明,接种VT菌剂的处理与空白和接种有机物料腐熟剂的处理相比,堆肥初期升温更快;高温期更长;堆肥结束时,C/N降低的多,NO3-N增加的多,NH4+-N挥发的少,接种VT菌剂和VT有机物料腐熟剂都可促进有机质的充分降解,缩短堆肥时间,加快堆肥腐熟,提高堆肥肥力。     

不同稳定剂对污泥蛋白发泡特性的影响研究

污泥含有蛋白质,经过高温水解可产生水解蛋白液(简称污泥蛋白),该蛋白具有发泡特性,经通风搅拌可产生泡沫;由于污泥蛋白所产生的泡沫具有不稳定、易破裂的特点,因此,设计了不同稳定剂对污泥蛋白发泡特性的影响研究实验,解决污泥蛋白所产生泡沫的稳定性问题。结果表明,在测定污泥蛋白的基本发泡特性实验中,10 mL污泥蛋白稀释10倍时,初始泡沫量较大,达到2 153 mL,但泡沫半衰期相对较短,时间为27 min;在10 mL污泥蛋白中分别加入0.2 g十六烷基三甲基溴化氨(CTAB)、羧甲基纤维素钠(CMC)、GP-1,并用水稀释10倍,制成泡沫后的初始泡沫量分别为1 380、1 400和1 248 mL,相对降低了773、753和905 mL;泡沫半衰期分别为31、76和509 min,相对提高了4、49和482 min,尤其是GP-1作为稳定剂时,泡沫的半衰期与不加稳定剂时相比提高了15倍;在10 mL污泥蛋白中加入0.2 g十六烷基三甲基溴化氨与0.2 g GP-1的复配稳定剂,用水稀释10倍,制成泡沫后的初始泡沫量为1 525 mL,相对降低了628 mL;泡沫半衰期为95 min,相对提高了68 min。因此,GP-1是污泥蛋白最好的泡沫稳定剂。     

铜绿微囊藻生长条件优化模拟研究

采用Plackett Burman实验设计与响应曲面法(RSM)相结合,研究了环境因子对铜绿微囊藻生长的影响。首先采用Plackett-Burman设计对影响藻细胞生长的环境因子进行筛选,结果表明:温度、NaNO3、K2HPO4、Ferric.Citrate对铜绿微囊藻的生长有重要影响,各因子影响值大小为E温度EK2HPO4ENaNO3EFerric.Citrate。在此基础上,用Box-Behnken设计对铜绿微囊藻的生长条件进一步优化,通过对藻细胞最大现存量与各考察因子之间的输入响应关系进行分析,结果表明:铜绿微囊藻的最佳生长条件是:温度为29℃,NaNO3为1.059 mmol/L,K2HPO4为0.057 mmol/L,Ferric.Citrate为0.024mmol/L,此时藻细胞的最大现存量为10.8293×105cells/mL。