Adsorption Species Distribution and Multicomponent Adsorption Mechanism of SO₂, NO, and CO₂ on Commercial Adsorbents

Adsorption is a commonly used method for gas pollutant removal. The adsorption performances of four commercial adsorbents have been compared in this work through a fixed-bed reactor. The single gas adsorption results show that zeolite is more effective for SO₂, NO, and CO₂ removal among the four adsorbents. SO₂, NO, and CO₂ are mainly monolayer adsorbed on adsorbents. Physically adsorbed SO₂ is the main adsorption species on 13X zeolite, 5A zeolite, and mesoporous alumina according to TPD-MS, while SO₂ is more easily oxidized on activated carbon than the other adsorbents. NO can be oxidized more easily on zeolite than activated carbon. Only physically adsorbed CO₂ is detected on these adsorbents. Multicomponent adsorption is investigated on 13X zeolite and activated carbon. For gas adsorption on 13X zeolite, the inhibitive effect of NO on SO₂ is 26.3% higher than that of CO₂ on SO₂, indicating that NO plays a dominant role in SO₂ adsorption. Physically adsorbed NO is the only NO adsorption species on 13X when SO₂ exists, showing NO oxidation on 13X is greatly inhibited by SO₂. For gas adsorption on activated carbon, chemically adsorbed SO₂ increases largely after NO is put in, showing that the promotive effect of NO on SO₂ is mainly for the chemically adsorbed SO₂. In the presence of SO₂, chemically adsorbed NO almost disappeared, which indicates that SO₂ mainly dominates chemically adsorbed NO on activated carbon. The effects of adsorbent performance on multicomponent gas adsorption are reflected by the gas adsorption mechanism. These findings provide considerable specific information for industrial flue gas purification

Additional file 1: of Clinical practice guidelines for the management of neuropathic pain: a systematic review

PRISMA 2009 checklist. (DOC 63 kb

The geographic distribution of imported cases and population density by district in Guangzhou, 2005–2019.

Basemap shapefile’s map content from National Earth System Science Data Center, National Science & Technology Infrastructure of China (http://www.geodata.cn), approval number 272148515751668.</p

Table_1_Urogenital microbiota-driven virulence factor genes associated with recurrent urinary tract infection.XLSX

Urinary tract infections (UTIs) are a common health issue affecting individuals worldwide. Recurrent urinary tract infections (rUTI) pose a significant clinical challenge, with limited understanding of the underlying mechanisms. Recent research suggests that the urobiome, the microbial community residing in the urinary tract, may play a crucial role in the development and recurrence of urinary tract infections. However, the specific virulence factor genes (VFGs) driven by urobiome contributing to infection recurrence remain poorly understood. Our study aimed to investigate the relationship between urobiome driven VFGs and recurrent urinary tract infections. By analyzing the VFGs composition of the urinary microbiome in patients with rUTI compared to a control group, we found higher alpha diversity in rUTI patients compared with healthy control. And then, we sought to identify specific VFGs features associated with infection recurrence. Specifically, we observed an increased abundance of certain VGFs in the recurrent infection group. We also associated VFGs and clinical data. We then developed a diagnostic model based on the levels of these VFGs using random forest and support vector machine analysis to distinguish healthy control and rUIT, rUTI relapse and rUTI remission. The diagnostic accuracy of the model was assessed using receiver operating characteristic curve analysis, and the area under the ROC curve were 0.83 and 0.75. These findings provide valuable insights into the complex interplay between the VFGs of urobiome and recurrent urinary tract infections, highlighting potential targets for therapeutic interventions to prevent infection recurrence.</p

The number of total reported cases and imported cases of dengue in Guangzhou, 2005–2019.

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Demographic characteristics of imported cases of acute infectious diseases in Guangzhou, China, 2005–2019.

Demographic characteristics of imported cases of acute infectious diseases in Guangzhou, China, 2005–2019.</p

The distribution of original countries of imported cases in Guangzhou, 2005–2019.

Most of the imported cases came from Southeast Asian.</p

Seasonal index of the average monthly number of imported cases of infectious diseases in Guangzhou, 2005–2019.

Seasonal index of the average monthly number of imported cases of infectious diseases in Guangzhou, 2005–2019.</p

The distribution of original countries of all imported cases in Guangzhou, 2005–2019.

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The number of imported cases of infectious diseases in Guangzhou, 2005–2019.

The number of imported cases of infectious diseases in Guangzhou, 2005–2019.</p