Publications by authors named "Junqin Liu"

Article Synopsis
  • * This study created machine learning models, particularly using the random forest technique, to predict natural levels of five heavy metals (As, Cd, Cr, Hg, Pb), achieving a maximum performance score of 0.64.
  • * The findings revealed that higher concentrations of these metals are mainly found in southwestern and south-central China, with geological attributes being the most significant factor influencing metal content.
View Article and Find Full Text PDF

The adsorption of heavy metal on iron (oxyhydr)oxides is one of the most vital geochemical/chemical processes controlling the environmental fate of these contaminants in natural and engineered systems. Traditional experimental methods to investigate this process are often time-consuming and labor-intensive due to the complexity of influencing factors. Herein, a comprehensive database containing the adsorption data of 11 heavy metals on 7 iron (oxyhydr)oxides was constructed, and the machine learning models was successfully developed to predict the adsorption efficiency.

View Article and Find Full Text PDF
Article Synopsis
  • * Machine learning techniques were used to predict the content of various minerals (like kaolinite and illite) based on soil properties, revealing that bulk density and drainage class are key predictors.
  • * The findings suggest that soil properties affect mineral distribution and variations, enhancing our understanding of soil geochemical cycles and offering a new predictive method for mineral content analysis.
View Article and Find Full Text PDF

Heavy metals raise a global concern and can be easily retained by ubiquitous iron (oxyhydr)oxides in natural and engineered systems. The complex interaction between iron (oxyhydr)oxides and heavy metals results in various mineral-metal binding configurations, such as outer-sphere complexes and edge-sharing inner-sphere complexes, which determine the accumulation and release of heavy metals in the environment. However, traditional experimental approaches are time-consuming and inadequate to elucidate the complex binding relationships and configurations between iron (oxyhydr)oxides and heavy metals.

View Article and Find Full Text PDF

Tamoxifen is one of the most effective therapeutic tools for estrogen receptor-positive (ER +) breast cancer. However, the intrinsic insensitivity and resistance to tamoxifen remains a significant hurdle for achieving optimal responses and curative therapy. In this study, we report that F-box and leucine-rich repeat protein 16 (FBXL16) is located in the mitochondria of ER + breast cancer cells.

View Article and Find Full Text PDF

A new two-step modification method has been proposed where 1.8% HCl and 3.1% HNO were applied to modify the interlayer of vermiculite (VMT).

View Article and Find Full Text PDF

Hexabromocyclododecane (HBCD) is one of the priority persistent organic pollutants (POPs), yet a cost-effective technology has been lacking for the removal and degradation of HBCD. Zero-valent aluminum (ZVAl) is an excellent electron donor. However, the inert and hydrophilic surface oxide layer impedes the release of the electrons from the core metallic Al, resulting in poor reactivity towards HBCD.

View Article and Find Full Text PDF

Hexabromocyclododecane (HBCD) has been listed in Annex A of the Stockholm Convention on Persistent Organic Pollutants (POPs) in 2013, but till now there is a lack of efficient methods for its degradation. In this study, nanoscale zero-valent aluminum (nZVAl), an excellent reductant with a very low redox potential of E(Al/Al) = -1.662 V and strong electron transfer ability, was used to reductively degrade HBCD.

View Article and Find Full Text PDF

The MgMn-layered double oxide (MgMn-LDO), which was fabricated by calcining MgMn-layered double hydroxide (MgMn-LDH), was used to remove tetracycline (TC) and cadmium (Cd) pollution. In MgMn-LDO activated peroxymonosulfate (PMS) system, 97.1% of TC was degraded within 20 min.

View Article and Find Full Text PDF

A high removal rate (>99.7%) of combined arsenite (As(III)) and Cd (Cd(II)) in low concentration (1000 μg/L) from contaminated water was achieved by a calcined MgZnFe-CO layered double hydroxide (CMZF) adsorbent. Batch control studies and a series of spectroscopy detection technologies were employed to investigate the removal mechanism and interactions between As(III) and Cd(II) on the interface of water/CMZF.

View Article and Find Full Text PDF
[IgG antibody level in saliva from rabbits infected with Trichinella spiralis].

Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi

April 2010

Twenty-eight Japanese big ear rabbits were randomly divided into control group and experimental group. Twenty rabbits in experimental group were each infected with 3000 larvae of Trichinella spiralis. Serum and saliva samples were collected at pre-infection and every week after infection, and were examined for IgG antibody by indirect ELISA using T.

View Article and Find Full Text PDF