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蔬菜加工和奶酪制造废水对土地处理系统土壤微生物功能多样性、群落结构和反硝化潜力的影响。

Impacts of vegetable processing and cheese making effluent on soil microbial functional diversity, community structure, and denitrification potential of land treatment systems.

机构信息

Department of Soil Science, University of Wisconsin-Madison, Madison, Wisconsin, USA.

出版信息

Water Environ Res. 2024 May;96(5):e11036. doi: 10.1002/wer.11036.

DOI:10.1002/wer.11036
PMID:38740567
Abstract

The cheese making and vegetable processing industries generate immense volumes of high-nitrogen wastewater that is often treated at rural facilities using land applications. Laboratory incubation results showed denitrification decreased with temperature in industry facility soils but remained high in soils from agricultural sites (75% at 2.1°C). 16S rRNA, phospholipid fatty acid (PLFA), and soil respiration analyses were conducted to investigate potential soil microbiome impacts. Biotic and abiotic system factor correlations showed no clear patterns explaining the divergent denitrification rates. In all three soil types at the phylum level, Actinobacteria, Proteobacteria, and Acidobacteria dominated, whereas at the class level, Nitrososphaeria and Alphaproteobacteria dominated, similar to denitrifying systems such as wetlands, wastewater resource recovery facilities, and wastewater-irrigated agricultural systems. Results show that potential denitrification drivers vary but lay the foundation to develop a better understanding of the key factors regulating denitrification in land application systems and protect local groundwater supplies. PRACTITIONER POINTS: Incubation study denitrification rates decreased as temperatures decreased, potentially leading to groundwater contamination issues during colder months. The three most dominant phyla for all systems are Actinobacteria, Proteobacteria, and Acidobacteria. The dominant class for all systems is Nitrosphaeria (phyla Crenarchaeota). No correlation patterns between denitrification rates and system biotic and abiotic factors were observed that explained system efficiency differences.

摘要

奶酪制造和蔬菜加工产业会产生大量高含氮废水,这些废水通常在农村设施中通过土地应用进行处理。实验室孵育结果表明,反硝化作用随工业设施土壤温度的升高而降低,但在农业用地土壤中仍保持较高水平(2.1°C 时为 75%)。进行了 16S rRNA、磷脂脂肪酸(PLFA)和土壤呼吸分析,以研究潜在的土壤微生物组影响。生物和非生物系统因素相关性分析表明,没有明确的模式可以解释不同的反硝化速率。在所有三种土壤类型中,在门水平上,放线菌、变形菌和酸杆菌占主导地位,而在纲水平上,硝化螺旋菌和α变形菌占主导地位,类似于湿地、废水资源回收设施和废水灌溉农业系统等反硝化系统。结果表明,潜在的反硝化驱动因素各不相同,但为在土地应用系统中更好地了解调节反硝化的关键因素并保护当地地下水供应奠定了基础。从业者要点:孵育研究表明,反硝化速率随温度降低而降低,这可能导致在较冷月份地下水受到污染。所有系统中最主要的三个门是放线菌、变形菌和酸杆菌。所有系统中最主要的纲是硝化螺旋菌(古菌门 Crenarchaeota)。没有观察到反硝化速率与系统生物和非生物因素之间的相关模式,这些模式可以解释系统效率差异。

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