Cong Liu

Dr. Cong Liu


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2019 in Building and Environment
Verified
Journal Article
Closed access
CLCong Liu
Cong Liu
XMXinyao Miao
Xinyao Miao
JLJingguang Li
Jingguang Li

23 July 2018 in Environmental Science & Technology
Verified
Journal Article
Closed access
ALAbiola S. Lawal
Abiola S. Lawal
XGXinbei Guan
Xinbei Guan
CLCong Liu
Cong Liu
LHLucas RF Henneman
Lucas RF Henneman
PVPetros Vasilakos
Petros Vasilakos
ARArmistead G. Russell
Armistead G. Russell

1 April 2022 in Environmental Research
Verified
Journal Article
Closed access
HZHemiao Zhang
Hemiao Zhang
ZZZihao Zheng
Zihao Zheng
TYTao Yu
Tao Yu
CLCong Liu
Cong Liu
Hua QianHua Qian
Hua Qian
JLJingguang Li
Jingguang Li

1 June 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
CLCong Liu
Cong Liu
XHXinjie Huang
Xinjie Huang
JLJingguang Li
Jingguang Li

1 October 2021 in Environment International
Verified
Journal Article
Open access
FYFan Yang
Fan Yang
CLCong Liu
Cong Liu
Hua QianHua Qian
Hua Qian
Oxidative potential (OP) of PM2.5 is an emerging health indicator representing its ability to induce oxidative stress and cause adverse health effects. We examined pollution levels, temporal variations, and key constituents of PM2.5 OP by DTT assay in both indoor and outdoor environments in Nanjing, China, for over one year. Outdoor OPM (mass-normalized OP characterizes toxicity) and OPV (volume-based OP characterizes overall oxidative burden) in Nanjing were at a medium level compared to results reported for twenty-seven cities. Although PM2.5 mass concentration consistently decreased during outdoor-to-indoor transport, OPM varied by a factor of up to 2 in either direction, indicating a change of PM2.5's ability to disrupt oxidative-reductive balance. Temporally, both outdoor and indoor OPM exhibited a significant seasonality pattern (P < 0.01) as autumn > summer > spring > winter. Outdoor and indoor daytime-nighttime OPV and OPM are fluctuating within two-fold range. In addition, the change in water-soluble Fe had the highest correlation coefficient (P < 0.05) with ΔOPM (ΔOPM = OPM, in-OPM, out) among constituents measured here. Our results suggest that development of mitigation strategies take indoor PM2.5's OP into account, instead of outdoors only, since they differ.

15 February 2018 in Environmental Science & Technology
Verified
Journal Article
Closed access
YWYaoxing Wu
Yaoxing Wu
CEClara M. A. Eichler
Clara M. A. Eichler
Jianping CaoJianping Cao
Jianping Cao
JBJennifer L. Benning
Jennifer L. Benning
AOAmy Olson
Amy Olson
JLJohn Little
John Little