水生植物-微生物联合去除水体有机污染物的研究进展

近年来,随着经济的快速发展,大量有机化合物随着工业废水和生活污水排放进入水体,严重破坏了水环境的生态平衡,威胁着水生生物及人类健康。植物-微生物联合修复技术因具有修复效率高、持续时间长、投入成本低,而且不会产生二次污染等特点,在水体有机污染治理中受到了人们的广泛关注。本文综述了近年来水生植物-微生物联合去除水体有机污染物的应用现状,详细阐述了水生植物-微生物联合修复过程中的研究方法、作用机制及影响因素。以期不断完善和优化水生植物-微生物联合修复技术,为实现水环境有机物污染的统筹高效治理提供参考。     

转基因植物对有机污染物的吸收、转化和降解

有机污染物是土壤、水体和大气环境的重要污染物.利用和加强植物修复作用是控制环境污染的有效途径.近年来,一些具有修复功能的外源基因被陆续引入到植物中,使转基因植物的生物修复能力大大增强.文章介绍了植物对污染环境中有机污染物,尤其是持久性有机污染物(POPs)的吸收、转化和降解作用,阐述了转基因植物用于被污染环境修复方面的研究进展和应用前景.     

微生物降解有机污染物的研究进展

从降解菌的筛选及检测技术、新的降解菌种及其作用酶和代谢途径、污染物对降解菌的作用以及环境因素对降解菌的影响等方面介绍了微生物降有毒有机污染物的最新研究进展,预期该领域具有十分广阔的应用前景。     

降解强致癌性有机污染物的微生物

多氯联苯(PCB)是强致癌有机污染物之一,是潜在的致癌因子,这类化合物有209种之多,其中某些化合物具有类似二噁英(dioxin)的毒性如六氯联苯等。有些微生物对PCB有降解作用,如G^ 细菌(指革氏阳性菌)中有园红球菌(Rhodococcus globerulus)也称球状红球菌,还有红串红球菌(Rh．erythropolis)、芽孢杆菌(Bacillus sp．)野生株以及该两属其他未定名菌株均表现对PCB等的降解活力,     

植物-微生物联合修复化学农药污染土壤的研究进展

化学农药的高毒性、生物积累性和扩散性极易对环境及人类健康造成危害,环境中化学农药的去除尤为重要。植物-微生物联合修复技术因其高效、环境友好和修复成本低等优点受到越来越多的关注,植物-微生物联合修复化学农药污染土壤是一种很有前景的方法。植物为根际和内生细菌提供养分,而细菌通过化学农药的降解和解毒来支持植物生长。本文综述了影响化学农药在植物体内吸收和转运的因素以及植物-微生物修复技术的原理,并讨论了植物与微生物在化学农药污染土壤修复中的协同效应,并对植物-微生物联合修复法在化学农药污染土壤修复中的应用前景进行了展望。     

有机污染环境的植物修复研究进展

分析了近年来国内外的文献资料,对有机污染物污染环境的植物修复研究进展作了综述。植物能通过根系从环境中吸收和积累PCBs、PAHs等有机污染物,并将吸收的TNT、TCE及有机农药降解为高极性产物、水和CO2;另一方面植物根际可促进有机污染物的根际生物吸收与,使植物对有机污染环境的修复效果更明显。文中探讨了有机污染环境的植物修复技术的优势、问题与未来的研究。     

药物类新污染物的微生物降解机制研究进展

环境微生物作为自然界中主要的分解者蕴含着丰富的遗传和代谢多样性,在有机污染物降解中发挥着重要作用。药物被持续不断地释放到环境中,其环境暴露、环境风险和对人体健康的潜在影响已得到广泛关注。研究药物在环境中的微生物降解过程对于药物的环境命运、药物的环境风险评估和药物污染去除技术的开发等具有重要价值。本文重点综述了目前环境中常检出药物的微生物降解途径及其分子机理,总结了目前药物微生物降解研究领域的进展,最后探讨了药物的微生物降解领域未来的研究趋势。     

微生物对环境中难降解有机污染物共代谢作用

对微生物共代谢途径的概念、机理、类型进行了综述,详细介绍了微生物共代谢作用在去除难降解有机污染物过程中所起到的重要作用,并对微生物共代谢作用降解有机污染物的关键因素及其应用价值做出分析。     

持久性有机污染物的植物修复

简要介绍了持久性有机污染物,重点分析了植物对去除环境中持久性有机污染物的修复机制,指出了植物修复技术存在的问题和今后的发展方向。     

微生物降解持久性有机污染物的研究进展与展望

持久性有机污染物（POPs）是伴随着人类工业化发展而产生的合成类污染物,具有高毒性、持久性、长迁移性和高生物富集性等特点,POPs污染物的微生物降解一直是环境科学与技术应用领域的研究热点。微生物降解技术修复POPs污染环境具有无二次污染、成本低、快速简便等优点,拥有广泛的应用前景。本文论述了各种POPs微生物分解代谢的最新研究进展,包括降解性微生物资源以及降解机制。此外,还讨论了计算生物学、合成生物学、基因组学等技术在POPs微生物降解中的潜力和应用,以期为环境中持久性有机污染物的修复提供参考。     

丛毛单胞菌在环境污染物降解方面的研究进展

环境污染物的微生物降解是环保领域研究的一个热点。研究发现,丛毛单胞菌对多种污染物有很好的降解效果。综述目前已分离的一些丛毛单胞菌对不同污染物的降解特性、代谢途径,并分析了影响其降解效果的各种因素,介绍应用现状并对前景进行展望。     

Bacterial diversity, organic pollutants and their metabolites in two aeration lagoons of common effluent treatment plant (CETP) during the degradation and detoxification of tannery wastewater

In this study, PCR-RFLP and GC-MS approaches were used to characterize the bacterial diversity, organic pollutants and metabolites during the tannery wastewater treatment process at common effluent treatment plant (CETP). Results revealed that the bacterial communities growing in aeration lagoon-I were dominated with Escherichia sp., Stenotrophomonas sp., Bacillus sp. and Cronobacter sp. while that of aeration lagoon-II prevailed with Stenotrophomonas sp., and Burkholderiales bacterium, respectively. The HPLC and GC-MS analysis revealed that most of the organic pollutants detected in untreated tannery wastewater samples were diminished from bacterial treated tannery wastewater samples. Only two pollutants i.e. L-(+)-lactic acid and acetic acid could not be degraded by bacteria whereas benzene and 2-hydroxy-3-methyl-butanoic acid was produced as new metabolites during the bacterial treatment of tannery wastewater in aeration lagoon II of CETP. Further, it was observed that after bacterial treatment, the toxicity of tannery effluent was reduced significantly allowing 90% seed germination.     

Enhancement on the simultaneous removal of nitrate and organic pollutants from groundwater by a three-dimensional bio-electrochemical reactor

To improve denitrification performance and effective degradation of organic pollutants from micro-polluted groundwater simultaneously, a novel three-dimensional (3D) bio-electrochemical reactor was developed, which introduced activated carbon into a traditional two-dimensional (2D) reactor as the third electrode. The static and dynamic characteristics of the reactor were investigated with special attentions paid to the performance comparison of these two reactors. In the 3D reactor both TOC and nitrate removal efficiency were greatly improved, and the formation of nitrite byproduct is considerably reduced, comparing with that of the 2D reactor. The role of activated carbon biofilm was explored and possible remediation mechanisms for the 2D and 3D reactors were suggested. In such a 3D reactor, the denitrification rate improved greatly to 0.288 mg NO₃–N/cm²/d and the current efficiency could reach as high as 285%. Further, it demonstrated good performance stably against variable conditions, indicating very promising in application for groundwater remediation.     

溶解性有机质对土壤中有机污染物环境行为的影响

土壤中溶解性有机质(DOM)是生物活性和物理化学反应活性都很活跃的有机组分,主要通过疏水吸附、分配、氢键、电荷转移、共价键、范德华力等多种作用与有机污染物结合,提高溶液中有机污染物的溶解度,改变土壤中有机污染物的吸附-解吸、迁移-转化等环境行为．DOM对有机污染物的吸附-解吸、迁移-转化过程的影响有双重性：一方面,DOM与有机污染物在土壤表面的共吸附可增加土壤对有机污染物的吸附容量,促进有机污染物在土壤中的吸持;另一方面,DOM对有机污染物的增溶作用,有利于土壤中有机污染物的解吸,提高移动性．作为光敏剂,DOM能提高土壤中有机物的光解反应速率．在一定条件下,DOM也可影响土壤中有机污染物的水解过程．DOM对土壤中有机污染物环境行为的影响与DOM和有机污染物的性质及其相互作用的介质条件密切相关．     

污染物降解成为环境微生物领域研究的重点

<正>根据《微生物学通报》2013年发表的文章分析,环境微生物学领域的论文有32篇,平均每个月在2篇以上,论文数显著多于农业微生物学(20篇)和工业微生物学(18篇)及其他领域。然而,在环境微生物学领域中,有关污染物降解方面的文章达到了12篇。就本刊数据而言,这体现了污染物的降解已成为我国环境微生物学研究领域的重点。其中有10项研究工作,针对各种有机化合物的处理与降解,如石油[1]、包     

Harnessing plant-bacteria-fungi interactions to improve plant growth and degradation of organic pollutants

Exploiting the potential of bacteria in phytoremediation for the removal of organic and inorganic pollutants from soils and (ground)water holds great promise. Besides bacteria, mycorrhizal fungi and free-living saprotrophs are well known for their strong degradative capacities and plant growth promotion effects, which makes them of high interest for use in different bioremediation strategies. To further increase the efficiency and successes of phytoremediation, interactions between plants and their associated microorganisms, both bacteria and fungi, should be further investigated, in addition to the close interactions between bacteria and fungi. Benefitting from an increased understanding of microbial community structure and assembly allows us to better understand how the holobiont can be modified to improve pollutant degradation and plant growth. In this review, we present an overview of insights in plant-bacteria-fungi interactions and the opportunities of exploiting these tripartite interactions to enhance the effectiveness of phytoremediation of organic pollutants.     

Enantioselective and nonenantioselective degradation of organic pollutants in the marine ecosystem

Enantiomeric ratios of 11 chiral environmental pollutants determined in different compartments of the marine ecosystem by chiral capillary gas chromatography and chiral high-performance liquid chromatography allow discrimination between the following processes: enantioselective decomposition of both enantiomers with different velocities by marine microorganisms (α-HCH, β-PCCH, γ-PCCH); enantioselective decomposition of one enantiomer only by marine microorganisms (DCPP); enantioselective decomposition by enzymatic processes in marine biota (α-HCH, β-PCCH, trans-chlordane, cis-chlordane, octachlordane MC4, octachlordane MC5, octachlordane MC7, oxychlordane, heptachlor epoxide); enantioselective active transport through the “blood–brain barrier” (α-HCH); nonenantioselective photochemical degradation (α-HCH, β-PCCH). © 1993 Wiley-Liss, Inc.     

Predicting gastrointestinal infection morbidity based on environmental pollutants: Deep learning versus traditional models

Accurate morbidity prediction can contribute greatly to the efficiency of medical services. Gastrointestinal infectious diseases are largely influenced by environmental pollutants, but predicting their morbidity based on pollution indicators is quite difficult because of the complex relationship between the pollutants and the infections. This study presents a deep neural network (DNN) model for estimating the morbidity of gastrointestinal infections based on 129 types of pollutants contained in soil and water. The DNN uses a deep Boltzmann machine (DBM) to model the unknown probabilistic relationship between the pollutants, and employs a Gaussian mixture model (GMM) to output the estimated morbidity. We also propose an evolutionary algorithm for efficiently training the DNN. Experiment on a data set from four counties in central China shows that the proposed model can estimate the morbidity much more accurately than traditional neural network and linear regression models.     

Optimization of microwave-assisted extraction followed by solid phase micro extraction and gas chromatography-mass spectrometry detection for the assay of some semi volatile organic pollutants in sebum

Methodology using MAE/SPME/GC-MS is being pursued for the analysis of organic pollutants in sebum. The microwave-assisted extraction (MAE) of standards of semi volatile organic pollutants from sebum was optimized. All compounds were extracted from sebum with recoveries analyzed by GC/MS ranging from 94% to 100% under the optimum MAE conditions: 10mL acetone-hexane (2:1), 60 degrees C, and 10 min microwave heating. To improve the detection limits a SPME procedure was optimized. Linearity ranged from 0.70 ppb to 25 ppb. R.S.D. were in the range of 1-23% for the SPME step. Preliminary real samples were analyzed and a range of compounds was detected. The optimized MAE/SPME/GC-MS methodology promises to be useful for different applications.     

有机污染物在土壤中老化行为的研究进展

有机污染物在土壤中的老化行为是目前有机污染研究的一个热点问题.通过对其机理的研究,可以达到调控污染物的目的.本文介绍了有机污染物在土壤中的老化行为和国内外研究现状,指出老化的实质包括有机污染物在土壤中的慢吸附和锁定,总结了土壤性质、化合物性质和环境因素对老化的影响,同时介绍了老化的评价方法,并在此基础上提出了目前研究有机物在土壤老化过程中所存在的问题,并对老化行为的未来研究方向进行了展望.