Multi-elemental compound-specific isotope analysis of pesticides for source identification and monitoring of degradation in soil: a review

Environmental Chemistry Letters - The transfer of pesticides from agricultural soils to food and drinking water is a major health issue. There are actually few robust methods to identify,...     

农药在环境中的水解机理及其影响因子研究进展

农药的水降解与其在环境中的持久性是密切相关的,它是影响农药在环境中的归宿机制的重要依据之一,也是评价农药在水体中残留特性的重要指标。近些年来,国内外不少学者对农药尤其是有机磷、氨基甲酸酯、拟除虫菊酯和磺酰脲类等的水解进行了大量研究,其内容涉及到农药水化学降解机理及其各种因子如pH值、温度和黏土矿物等对农药水解的影响等,并取得了很多新的进展。但是所有这些研究主要集中于实验室内,而对其自然环境中各因子的贡献及其水解机制的了解则相对较少。今后应加强农药在自然条件下的水解动力学与机理以及黏土矿物和腐殖酸对农药在水体中的催化水解研究,以更好地评价农药在环境中的行为与归宿,为农药的合理使用提高科学依据。     

Role of mushrooms in soil mycoremediation:a review

Bioremediation is an innovative and promising technology available for the removal and recovery of heavy metals from contaminated media. Bioremediation uses organisms to absorb heavy metals at low cost and with no secondary pollution. Bioremediation by macrofungi that degrade pollutants or wastes is referred to as mycoremediation. Macrofungi, like mushrooms, can produce enzymes and have the ability to degrade and accumulate a wide range of toxic metals. In this paper, the research status and advances in the field of mycoremediation using different mushroom species are reviewed. Generally mushrooms use three effective strategies to recover contaminated or polluted soils: biodegradation, bioconversion, and biosorption. Mushrooms can degrade and recycle wastes and pollutants to their mineral constituents and convert wastes, sludge, and pollutants into useful forms. In addition, they can uptake heavy metals from substrates via biosorption, which is a very effective method to reclaim polluted lands. Different wild and cultivated mushroom species are used in mycoremediation, which can degrade large quantities of organic and inorganic pollutants and produce vendible products. Mycoremediation is still in its infancy, but it has notable remediation potential for pollutants or metals in soil. Mushroom species that can biodegrade, bioconvert, or absorb pollutants and metals effectively should be given the highest preference. Further research is needed to verify that this method is an easy, cost effective,and eco-friendly tool.     

Impact of biogas digestates on soil microbiota in agriculture: a review

Environmental Chemistry Letters - The global production of biogas has increased threefold during the last decade to partly replace fossil fuels, yet biogas production by anaerobic digestion...     

Spatial prediction of soil contamination based on machine learning: a review

● A review of machine learning (ML) for spatial prediction of soil contamination. ● ML have achieved significant breakthroughs for soil contamination prediction. ● A structured guideline for using ML in soil contamination is proposed. ● The guideline includes variable selection, model evaluation, and interpretation. Soil pollution levels can be quantified via sampling and experimental analysis; however, sampling is performed at discrete points with long distances owing to limited funding and human resources, and is insufficient to characterize the entire study area. Spatial prediction is required to comprehensively investigate potentially contaminated areas. Consequently, machine learning models that can simulate complex nonlinear relationships between a variety of environmental conditions and soil contamination have recently become popular tools for predicting soil pollution. The characteristics, advantages, and applications of machine learning models used to predict soil pollution are reviewed in this study. Satisfactory model performance generally requires the following: 1) selection of the most appropriate model with the required structure; 2) selection of appropriate independent variables related to pollutant sources and pathways to improve model interpretability; 3) improvement of model reliability through comprehensive model evaluation; and 4) integration of geostatistics with the machine learning model. With the enrichment of environmental data and development of algorithms, machine learning will become a powerful tool for predicting the spatial distribution and identifying sources of soil contamination in the future.     

Effect of metallic cations on the sorption of pesticides on soil

We studied the adsorption and desorption of two pesticides, namely isoproturon and dimetomorph, onto a model soil sample. We first show that the adsorption of isoproturon depends on pH, from 1 mg g⁻¹ at pH 4 to 2 mg g⁻¹ at pH 10, contrary to the adsorption of dimetomorph (5.8 mg g⁻¹). We also studied the influence of metallic cations, copper(II), iron(III), manganese(II), and chromium(III), on the sorption of isoproturon and dimetomorph. We found that in the case of isoproturon, the presence of metallic cations does influence the retention capacity of the soil sample. The sorption becomes very weak in the presence of copper and chromium, whereas in the case of iron and manganese the sorption properties are slightly modified.     

Evaluation of soil fertility using infrared spectroscopy: a review

Soil fertility is conventionally evaluated by soil properties such as C, N, and P contents. Evaluation of soil fertility is now becoming a routine work for soil management and crop production. However, laboratory-analysis based determination of soil properties is time and cost consuming, which is not suitable for precision agriculture. Here, infrared spectroscopy (IR) appears as an alternative and fast technique to measure soil fertility. The IR transmission method is generally used in soil qualitative analysis, while the IR reflectance can be used in soil quantitative analysis, and most of soil-related research is focused on reflectance spectroscopy. Infrared reflectance spectra, including diffuse reflectance spectra and total attenuated reflectance spectra, are involved in soil quantitative analysis. We observe an excellent performance of predicting soil C and N contents using IR spectra. Moreover, in most of cases the predictions of the contents of soil P, K, Ca, Mg, S, and some other microelements are satisfactory. Soil water, soil clays, and soil microbes can also be characterized and evaluated using IR spectroscopy. In recent years, a new method named infrared photoacoustic spectra was applied in soil analysis. Infrared-photoacoustic spectra is indeed more convenient for sample pretreatment and spectra recording, and the recorded soil spectra contain more useful information versus conventional reflectance spectroscopy. Though currently the application of infrared photoacoustic spectroscopy in soil analysis is limited, it appears promising to measure soil fertility. The application of infrared spectroscopy in soil fertility is largely dependent on spectra pretreatment and multivariate calibration due to strong interferences in the spectra. Partial least square (PLS) and artificial neural network (ANN) are two widely used mathematical tools in the prediction of soil properties, and more mathematical tools combined models will benefit the prediction performance. To make full use of soil infrared spectra, soil spectra library construction is needed in future, and a standard procedure should be first decided in the construction. Based on soil infrared spectra library soil fertility can be fast evaluated combining suitable mathematical model, which will play an important role in the sustainable agriculture.     

Correction to: Impact of biogas digestates on soil microbiota in agriculture: a review

Environmental Chemistry Letters -     

Incorporation of pesticides by soil micro-organisms as a way of bound residues formation

We studied the ¹⁴C-tagged biochemical compartments such as proteins, lipids and polysaccharides from bacterial and fungal cultures supplied with ¹⁴C-pesticides and ¹⁴C-glucose. We showed that ¹⁴C incorporation depends both on the substrate structure and on the nature of the micro-organism. Both bacterial and fungal cells incorporated glucose ¹⁴C mainly into cell wall proteins. By contrast, glyphosate ¹⁴C was mainly incorporated into cytoplasm carbohydrates by fungi. On the other hand, 2,4-dichlorophenoxyacetic acid ¹⁴C was mainly found in the carbohydrate fractions of the bacteria walls.     

森林土壤退化及其防治研究综述

介绍了土壤退化的概念；从树种生物学特性、人工林植物群落结构和栽培措施方面探讨了森林土壤退化的机理；提出了防治森林土壤退化的对策。文章最后指出，应从多学科的角度深入系统地研究地力衰退的机理，利用遥感、地理信息系统等高新技术手段构建包括计算机模拟模型、林地指南、关键决策系统、专家系统等在内的不同的预测和决策工具，同时加强天然林的进一步研究。     

土壤中结合残留态农药的生态环境效应

土壤中农药结合残留态的形成，导致其活性暂时降低，但并未从土壤中消失，在特定的环境条件下又重新释放到环境中并表现出较高的生物有效性，从而威胁农产品质量安全与环境质量。文章论述了土壤中结合残留态农药的定义、形成过程及影响因素、老化和释放过程及机制。土壤中结合残留态农药主要通过吸附过程、化学反应及物理镶嵌等作用而形成，其形成过程受农药的结构和化学特性、土壤理化性质、环境条件和农艺措施的影响。老化是化合物和土壤组分紧密结合，减少被普通提取方法提取出来的数量，降低了化合物的生物有效性。同时老化的物质在土壤环境条件改变的情况下又重新释放到土壤溶液中或进行矿化，此过程可以通过物理一化学机制或生物化学作用而发生。重新释放到环境中的结合残留态农药又表现出较高的生物有效性，可能被植物、动物或微生物所吸收，并沿食物链富集和放大或进入水体污染水产品和造成水质恶化，从而威胁人体健康。文章还分析了土壤结合残留态农药可能带来的环境问题，提出了此问题今后研究的方向。     

磺胺类兽药对土壤酶活性的影响

采用室内培养的方法,研究磺胺类兽药（磺胺二甲基嘧啶、磺胺甲唑）污染对土壤蔗糖酶、硝酸还原酶、过氧化氢酶、磷酸酶、脲酶和多酚氧化酶活性的影响。结果表明,磺胺类兽药可显著抑制土壤蔗糖酶的活性,其抑制率可达50%以上。兽药对土壤硝酸还原酶活性的影响表现为先抑制后激活的趋势,最大抑制率和激活率可达98.6%、580%。兽药对土壤过氧化氢酶活性的影响主要以激活作用为主,对土壤磷酸酶活性的影响则呈现＂激活-抑制＂的循环趋势。兽药对土壤脲酶活性的影响表现为,培养前期低浓度时激活,高浓度时抑制;培养后期低、高浓度时均抑制。兽药对土壤多酚氧化酶活性的影响表现为,培养前期激活,培养后期抑制。     

Adsorption behavior of antibiotic in soil environment: a critical review

Antibiotics are used widely in human and veterinary medicine, and are ubiquitous in environment matrices worldwide. Due to their consumption, excretion, and persistence, antibiotics are disseminated mostly via direct and indirect emissions such as excrements, sewage irrigation, and sludge compost and enter the soil and impact negatively the natural ecosystem of soil. Most antibiotics are amphiphilic or amphoteric and ionize. A non-polar core combined with polar functional moieties makes up numerous antibiotic molecules. Because of various molecule structures, physicochemical properties vary widely among antibiotic compounds. Sorption is an important process for the environment behaviors and fate of antibiotics in soil environment. The adsorption process has decisive role for the environmental behaviors and the ultimate fates of antibiotics in soil. Multiply physicochemical properties of antibiotics induce the large variations of their adsorption behaviors. In addition, factors of soil environment such as the pH, ionic strength, metal ions, and organic matter content also strongly impact the adsorption processes of antibiotics. Review about adsorption of antibiotics on soil can provide a fresh insight into understanding the antibiotic-soil interactions. Therefore, literatures about the adsorption mechanisms of antibiotics in soil environment and the effects of environment factors on adsorption behaviors of antibiotics in soil are reviewed and discussed systematically in this review.     

Bioaccumulation of organochlorine pesticides from contaminated soil by cattle

The study aimed to quantitate the uptake by beef cattle of organochlorine pesticides in from soil. Although such uptake is known to occur, uptake rates have not been accurately measured for these animals and cannot be inferred from data obtained with dairy cattle. In this study, cattle received a diet, of a standard feedlot ration supplemented with organochlorine-pesticide (aldrin?+?dieldrin) contaminated soil. The levels of pesticides in the feed would approximate uptake through normal grazing. Samples of the subcutaneous fat were removed periodically and analysed for pesticide content. Uptake of dieldrin (but not other pesticides present in the soil) was rapid and substantial. Uptake from sandy soils was more efficient than that from clay soils. The experiment was terminated after 8 weeks, because of the high levels of dieldrin in the tissues. Depuration of the accumulated pesticides was a slow and complex process, requiring a longer period than accumulation.     

甲基异柳磷等四种农药在土壤薄板上的移动性能

在室内模拟条件下，研究了４种农药在土壤薄板上的移动性能。结果表明，甲基异柳磷与嘧啶氧磷属不易迁移的Ⅱ级农药；克草胺属中等迁移性的Ⅲ级农药；单甲脒属可移动性农药。     

菜田土壤氮素淋失及其调控措施的研究进展

从菜田中硝态氮的动态变化、土壤氮素的矿化、硝态氮对地下水的影响等几方面概述了近年来国内外的研究进展，介绍了渗漏测定计法、土壤溶液提取器和15N同位素示踪技术等3种测定土壤氮素淋失的研究方法其应用前景；论述了影响菜田土壤氮素淋失的主要因素和降低菜田土壤氮素淋失的丰要调控措施；提出了今后菜田土壤氮素淋失应加强的研究方向。     

雷州半岛典型区域土壤有机氯农药污染探查研究

在雷州半岛典型区域共采集了74个表层土壤和4个剖面土壤,对土壤中有机氯农药残留及分布状况进行了研究。结果表明:有机氯农药检出率为100%,其中∑HCH(六六六)和∑DDT(滴滴涕)质量分数范围分别在nd～65.93μg·kg-1和0.04～52.00μg·kg-1之间,同国内外同类报道相比处于较低水平;按土壤中有机氯农药17种成分质量分数所占的比重排序,前五名分别为P,P'-DDE、β-HCH、硫丹硫酸盐、硫丹Ⅱ、艾氏剂;按不同利用类型土壤中有机氯残留质量分数由大到小排序为菜地→水田→果园→甘蔗地;有机氯农药残留质量分数随土壤深度的增加呈下降趋势,耕层(0~20cm)的有机氯农药残留质量分数都高于底下层次。     

水环境中新烟碱类农药去除技术研究进展

新烟碱类农药的大量使用导致其在水环境中普遍存在,对生态系统和人体健康构成巨大威胁.传统的生物处理技术对新烟碱类农药几乎没有去除效果,高效的去除技术成为目前水环境领域的研究热点.本文系统分析了水环境中新烟碱类农药的来源、危害及污染现状,综述了物理、化学和生物去除技术的研究进展,重点讨论了高级氧化技术,详细阐述了不同技术对新烟碱类农药的去除效果、机理及影响因素等,并指出了各技术的应用优势和限制,最后对新烟碱类农药去除技术的研究提出了展望.     

Assessment of soil quality under different tillage practices during wheat cultivation: soil enzymes and microbial biomass

Microbial processes, particularly enzyme activities, play crucial functional roles in soil ecology, hence serving as sensitive indicators of soil quality. We assessed the temporal dynamics of microbial biomass and selected soil enzymes (β-d-glucosidase, cellobiohydrolase, polyphenol oxidase, urease, glycine-aminopeptidase and alkaline phosphatase) during wheat cultivation, under four different tillage practices in the rice–wheat system. The four practices involved conventional tilling of soil before cultivating each crop (CTR-CTW); no tilling before cultivating rice but conventional tillage before wheat (NTR-CTW); conventional tilling before cultivating rice but no tilling before wheat (CTR-NTW) and no tilling before cultivation of each crop (NTR-NTW). Microbial biomass and activities of hydrolytic enzymes increased under NTR-NTW followed by CTR-NTW and NTR-CTW with respect to the conventional practice CTR-CTW, thus reflecting improvement in microbial activities with reduced tillage frequency. Enzyme activities generally depended on soil moisture and temperature, but nature of relationships varied among different practices. Nutrient demand appeared to be the strongest driver of alkaline phosphatase and urease, and soil temperature for glycine-aminopeptidase. Under CTR-CTW, activities of most of the extracellular enzymes were related with β-d-glucosidase or urease, but such relations altered under rest of the practices. The study showed that extracellular soil enzymes respond sensitively to tillage practices as well as environmental variables, particularly soil temperature and moisture and hence can serve as a sensitive indicator of changes in soil processes. Considering improvement in microbial biomass and enzymatic activities as indicators of better soil quality, adoption of no tillage apparently improved soil quality. Still, more number of field studies are required under tillage managements to explore the relationships between different enzyme activities and environmental factors.     

土壤团聚体与微生物相互作用研究

土壤团聚体是土壤生态系统中重要的组成部分,影响着土壤的物理、化学和生物学性质,它的形成是生命和非生命物质共同作用的结果,其中微生物是形成土壤团聚体最活跃的生物因素。土壤团聚体和微生物是不可分割的,前者是后者存在的场所,后者是前者形成的主要因素。土壤微生物通过直接改造或物理缠绕、分泌有机物或者改变土壤疏水性等机制影响土壤有机质的分异和土壤团聚结构的形成和稳定;同时,土壤团聚结构的动态变化又反馈控制土壤微生物活动和土壤有机质组分的分异作用,使得土壤团聚结构-土壤有机质组分-微生物群落结构的动态变化之间存在耦合作用。该文首先综述了微生物在土壤团聚体形成中的作用,发现不同种类的微生物对不同粒级团聚体的形成和稳定机制不同,真菌对大团聚体的形成和稳定性起重要作用,来自于植物和微生物的多糖在土壤微团聚体的形成和稳定中起关键作用;其次,微生物在不同粒径团聚体中的组成和分布不同,大团聚体中以真菌为主,微团聚体中以细菌为主;最后探讨了目前应用广泛的研究团聚体中微生物的技术手段和未来研究思路,以期为今后的科学研究提供理论和方法上的指导。