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Xiaolei Qu
Researcher at Nanjing University
Publications - 102
Citations - 5561
Xiaolei Qu is an academic researcher from Nanjing University. The author has contributed to research in topics: Adsorption & Catalysis. The author has an hindex of 27, co-authored 91 publications receiving 3995 citations. Previous affiliations of Xiaolei Qu include Rice University.
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Quantifying hydrophobicity of natural organic matter using partition coefficients in aqueous two-phase systems
TL;DR: KATPS can be used as quantitative measure of NOM hydrophobicity that facilitates routinely characterizing the interfacial properties of Nom.
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Bound and unbound humic acids perform different roles in the aggregation and deposition of multi-walled carbon nanotubes
TL;DR: Distinguishing the role of bound and unbound HA in the aggregation and deposition of carbon nanomaterials is important to predict their transport in various natural waters.
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Pt supported on ordered microporous carbon as highly active catalyst for catalytic hydrodeiodination of iodinated X-ray contrast media
TL;DR: In this paper, the Pt catalysts supported on zeolite templated carbon (Pt/ZTC) were prepared by in-situ chemical vapor deposition (CVD) using Pt exchanged Y zeolites as the template, and they were characterized by X-ray diffraction, N 2 adsorption-desorption isotherms, scanning electron microscope, transmission electron microscopy, Xray photoelectron spectroscopy and zeta potential measurement.
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Comparing Photoactivities of Dissolved Organic Matter Released from Rice Straw-Pyrolyzed Biochar and Composted Rice Straw.
Yafang Liu,Minli Wang,Shujun Yin,Lekai Xie,Xiaolei Qu,Heyun Fu,Quan Shi,Feng Zhou,Fuliu Xu,Shu Tao,Dongqiang Zhu +10 more
TL;DR: In this article , the photoactivity and photobleaching behavior between dissolved black carbon (DBC) and leached dissolved organic carbon (LDOC) from rice straw compost using complementary techniques was compared.
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Prediction of Apolar Compound Sorption to Aquatic Natural Organic Matter Accounting for Natural Organic Matter Hydrophobicity Using Aqueous Two-Phase Systems
TL;DR: A prediction model for organic compound sorption to NOM was theoretically derived based on two-phase systems using the organic carbon-water partition coefficient of four polycyclic aromatic hydrocarbons and reference NOM, which suggested good prediction power for PAH Sorption to aquatic NOM.