Highly active mixed-phase TiO2 photocatalysts fabricated at low temperature and the correlation between phase composition and photocatalytic activity

The idea of varying volume ratio of water to ethanol in solvent was firstly employed to yield phase composition controllable mixedphase titanium dioxide (TiO2) photocatalysts via a low temperature solvothermal route at 353 K. It was found that anatase contents increase from 0 to 100% with increase of ethanol contents in solvent. The mixed-phase TiO2 with 60% anatase content exhibited the best photocatalytic activity in photodecomposing formaldehyde (FAD) under UV light irradiation, which increases by about ...     

Peracetic Acid Sanitation on Arugula Microgreens Contaminated with Surface-Attached and Internalized Tulane Virus and Rotavirus

Food and Environmental Virology - Hydroponic production of vegetables is becoming more common, especially in regions with unfavorable climate for year-round crop production. However, if viruses are...     

草木樨在汞胁迫下的遗传分化研究

以草木樨(Melilotus officinalis)种子为研究对象,将其暴露于0、20、40和60 mg·L-1浓度的氯化汞中进行萌发,并对存活的幼苗利用水平淀粉凝胶电泳进行等位酶分析.结果表明,草木樨在Me和Pgi基因座具有多态性,其平均的等位基因数为3.0基因座-1,杂合性为0.332 - 0.342,草木樨符合...     

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

• A spectral machine learning approach is proposed for predicting mixed antibiotic. • Pretreatment is far simpler than traditional detection methods. • Performance of the model is compared in different influencing factors. • Spectral machine learning is promising in the detection of complex substances. Antibiotics are widely used in medicine and animal husbandry. However, due to the resistance of antibiotics to degradation, large amounts of antibiotics enter the environment, posing a potential risk to the ecosystem and public health. Therefore, the detection of antibiotics in the environment is necessary. Nevertheless, conventional detection methods usually involve complex pretreatment techniques and expensive instrumentation, which impose considerable time and economic costs. In this paper, we proposed a method for the fast detection of mixed antibiotics based on simplified pretreatment using spectral machine learning. With the help of a modified spectrometer, a large number of characteristic images were generated to map antibiotic information. The relationship between characteristic images and antibiotic concentrations was established by machine learning model. The coefficient of determination and root mean squared error were used to evaluate the prediction performance of the machine learning model. The results show that a well-trained machine learning model can accurately predict multiple antibiotic concentrations simultaneously with almost no pretreatment. The results from this study have some referential value for promoting the development of environmental detection technologies and digital environmental management strategies.     

Semi-closed synthesis of nitrogen and oxygen Co-doped mesoporous carbon for selective aqueous oxidation

Heteroatom-doped meso/micro-porous carbon materials are conventionally produced by harsh carbonization under an inert atmosphere involving specific precursors, hard/soft templates, and heteroatom-containing agents. Herein, we report a facile synthesis of N and O co-doped meso/micro-porous carbon (NOMC) by template-free carbonization of a small-molecule precursor in a semi-closed system. The semi-closed carbonizaiton process yields hydrophilic NOMCs with large surface area in a high yield. The porous structure as well as the elemental composition of NOMCs can be modulated by changing the holding time at a particular temperature. NOMCs as metal-free heterogeneous catalysts can selectively oxidize benzyl alcohol and its derivatives into aldehydes/ketones with>85％conversion in aqueous solution, which is much higher than that of the control sample obtained in tube furnace (21％conversion), mainly due to their high N content, high percentage of pyridinic N, and large surface area. The presence of O-containing moieties also helps to improve the hydrophilicity and dispersion ability of catalysts and thus facilitates the mass transfer process during aqueous oxidation. The NOMC catalysts also dispayed excellent activity for a wide range of substrates with a selectivity of>99％.     

Degradation of the typical herbicide atrazine by UV/persulfate: kinetics and mechanisms

Environmental Science and Pollution Research - Atrazine (ATZ), a widely used herbicide, had received a significant amount of attention due to its widespread detection in aquatic environments as...     

Effects of ambient air pollution on glycosylated hemoglobin: a systematic review and meta-analysis

Environmental Science and Pollution Research - Air pollution is one of the biggest environmental health problems in the world; accumulative studies have shown that air pollution was closely related...     

What are the disease burden and its sensitivity analysis of workers exposing to Staphylococcus aureus bioaerosol during warm and cold periods in a wastewater treatment plant?

Environmental Science and Pollution Research - Biological treatment in wastewater treatment plants releases high amounts of pathogenic bioaerosols. Quantitative microbial risk assessment is a...     

双极性脉冲高压无声放电法降解间二甲苯/苯

将双极性脉冲高压和工频交流高压分别引入无声放电反应器,对混合气态污染物间二甲苯/苯进行了降解实验.结果表明,双极性脉冲高压的引入对间二甲苯/苯的降解非常有效,间二甲苯与苯的去除率分别为100%、75.2%.气体成分不同降解特性不同,间二甲苯比苯容易降解.与单一组分相比,混合气体中苯受间二甲苯影响较大,最大降解率由单一组分的85.4%降到75.2%;而间二甲苯受苯的影响不大,降解特性基本不变.双极性脉冲高压供电中的脉冲形成电容对放电能量的注入和降解特性产生影响,当脉冲形成电容为2nF 时与反应器匹配较为理想.     

V2O5-WO3/TiO2系SCR催化剂的钾中毒及再生方法

以钾为代表的碱金属元素会引发严重的SCR催化剂中毒现象.通过浸渍法和干混法使催化剂钾中毒,比较不同K₂O负载量下催化剂脱硝活性的变化.结果表明,采用浸渍法使K₂O的负载量达到1%时,催化剂的最大脱硝效率由100%下降到30%左右;而干混法负载1% K₂O的催化剂样品的脱硝活性变化较小.对浸渍法负载1% K₂O的催化剂样品的再生试验表明,水洗可以使中毒后催化剂的脱硝活性由30%升至70%以上;而使用1%的H₂SO₄溶液酸洗,则可以使350～500 ℃催化剂的脱硝活性高于中毒前.通过扫描电镜和抗压强度的对比分析发现,中毒与再生前后催化剂的微观形貌和机械性能均未发生很大改变.