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Measurement report: Distinct size dependence and diurnal variation in organic aerosol hygroscopicity, volatility, and cloud condensation nuclei activity at a rural site in the Pearl River Delta (PRD) region, China 期刊论文
Atmospheric Chemistry and Physics, 2022
作者:  Mingfu Cai, Shan Huang, Baoling Liang, Qibin Sun, Li Liu, Bin Yuan, Min Shao, Weiwei Hu, Wei Chen, Qicong Song, Wei Li, Yuwen Peng, Zelong Wang, Duohong Chen, Haobo Tan, Hanbin Xu, Fei Li, Xuejiao Deng, Tao Deng, Jiaren Sun, and Jun Zhao
收藏  |  浏览/下载:15/0  |  提交时间:2022/06/24
Mapping the drivers of formaldehyde (HCHO) variability from 2015-2019 over eastern China: insights from FTIR observation and GEOS-Chem model simulation 期刊论文
Atmospheric Chemistry and Physics, 2020
作者:  Youwen Sun, Hao Yin, Cheng Liu, Lin Zhang, Yuan Cheng, Mathias Palm, Justus Notholt, Xiao Lu, Corinne Vigouroux, Bo Zheng, Wei Wang, Nicholas Jones, Changong Shan, Yuan Tian, Qihou Hu, and Jianguo Liu
收藏  |  浏览/下载:42/0  |  提交时间:2020/08/09
Importance of gas-particle partitioning of ammonia in haze formation in the rural agricultural environment 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (12) : 7259-7269
作者:  Xu, Jian;  Chen, Jia;  Zhao, Na;  Wang, Guochen;  Yu, Guangyuan;  Li, Hao;  Huo, Juntao;  Lin, Yanfen;  Fu, Qingyan;  Guo, Hongyu;  Deng, Congrui;  Lee, Shan-Hu;  Chen, Jianmin;  Huang, Kan
收藏  |  浏览/下载:15/0  |  提交时间:2020/06/29
Sources of nitrous acid (HONO) in the upper boundary layer and lower free troposphere of North China Plain: insights from the Mount Tai Observatory 期刊论文
Atmospheric Chemistry and Physics, 2020
作者:  Ying Jiang, Likun Xue, Rongrong Gu, Mengwei Jia, Yingnan Zhang, Liang Wen, Penggang Zheng, Tianshu Chen, Hongyong Li, Ye Shan, Yong Zhao, Zhaoxin Guo, Yujian Bi, Hengde Liu, Aijun Ding, Qingzhu Zhang, and Wenxing Wang
收藏  |  浏览/下载:11/0  |  提交时间:2020/06/01
Increased new particle yields with largely decreased probability of survival to CCN size at the summit of Mt. Tai under reduced SO2 emissions 期刊论文
Atmospheric Chemistry and Physics, 2020
作者:  Yujiao Zhu, Likun Xue, Jian Gao, Jianmin Chen, Hongyong Li, Yong Zhao, Zhaoxin Guo, Tianshu Chen, Liang Wen, Penggang Zheng, Ye Shan, Xinfeng Wang, Tao Wang, Xiaohong Yao, and Wenxing Wang
收藏  |  浏览/下载:20/0  |  提交时间:2020/05/20
Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (9) : 5437-5456
作者:  Sun, Youwen;  Liu, Cheng;  Zhang, Lin;  Palm, Mathias;  Notholt, Justus;  Hao, Yin;  Vigouroux, Corinne;  Lutsch, Erik;  Wang, Wei;  Shan, Changong;  Blumenstock, Thomas;  Nagahama, Tomoo;  Morino, Isamu;  Mahieu, Emmanuel;  Strong, Kimberly;  Langerock, Bavo;  De Maziere, Martine;  Hu, Qihou;  Zhang, Huifang;  Petri, Christof;  Liu, Jianguo
收藏  |  浏览/下载:21/0  |  提交时间:2020/07/02
Accelerated discovery of CO2 electrocatalysts using active machine learning 期刊论文
NATURE, 2020, 581 (7807) : 178-+
作者:  Lan, Jun;  Ge, Jiwan;  Yu, Jinfang;  Shan, Sisi;  Zhou, Huan;  Fan, Shilong;  Zhang, Qi;  Shi, Xuanling;  Wang, Qisheng;  Zhang, Linqi;  Wang, Xinquan
收藏  |  浏览/下载:88/0  |  提交时间:2020/07/03

The rapid increase in global energy demand and the need to replace carbon dioxide (CO2)-emitting fossil fuels with renewable sources have driven interest in chemical storage of intermittent solar and wind energy(1,2). Particularly attractive is the electrochemical reduction of CO2 to chemical feedstocks, which uses both CO2 and renewable energy(3-8). Copper has been the predominant electrocatalyst for this reaction when aiming for more valuable multi-carbon products(9-16), and process improvements have been particularly notable when targeting ethylene. However, the energy efficiency and productivity (current density) achieved so far still fall below the values required to produce ethylene at cost-competitive prices. Here we describe Cu-Al electrocatalysts, identified using density functional theory calculations in combination with active machine learning, that efficiently reduce CO2 to ethylene with the highest Faradaic efficiency reported so far. This Faradaic efficiency of over 80 per cent (compared to about 66 per cent for pure Cu) is achieved at a current density of 400 milliamperes per square centimetre (at 1.5 volts versus a reversible hydrogen electrode) and a cathodic-side (half-cell) ethylene power conversion efficiency of 55 +/- 2 per cent at 150 milliamperes per square centimetre. We perform computational studies that suggest that the Cu-Al alloys provide multiple sites and surface orientations with near-optimal CO binding for both efficient and selective CO2 reduction(17). Furthermore, in situ X-ray absorption measurements reveal that Cu and Al enable a favourable Cu coordination environment that enhances C-C dimerization. These findings illustrate the value of computation and machine learning in guiding the experimental exploration of multi-metallic systems that go beyond the limitations of conventional single-metal electrocatalysts.


  
A metabolic pathway for bile acid dehydroxylation by the gut microbiome 期刊论文
NATURE, 2020
作者:  Zhong, Miao;  Tran, Kevin;  Min, Yimeng;  Wang, Chuanhao;  Wang, Ziyun;  Dinh, Cao-Thang;  De Luna, Phil;  Yu, Zongqian;  Rasouli, Armin Sedighian;  Brodersen, Peter;  Sun, Song;  Voznyy, Oleksandr;  Tan, Chih-Shan;  Askerka, Mikhail;  Che, Fanglin;  Liu, Min;  Seifitokaldani, Ali;  Pang, Yuanjie;  Lo, Shen-Chuan;  Ip, Alexander;  Ulissi, Zachary;  Sargent, Edward H.
收藏  |  浏览/下载:14/0  |  提交时间:2020/07/03

The biosynthetic pathway that produces the secondary bile acids DCA and LCA in human gut microbes has been fully characterized, engineered into another bacterial host, and used to confer DCA production in germ-free mice-an important proof-of-principle for the engineering of gut microbial pathways.


The gut microbiota synthesize hundreds of molecules, many of which influence host physiology. Among the most abundant metabolites are the secondary bile acids deoxycholic acid (DCA) and lithocholic acid (LCA), which accumulate at concentrations of around 500 mu M and are known to block the growth ofClostridium difficile(1), promote hepatocellular carcinoma(2)and modulate host metabolism via the G-protein-coupled receptor TGR5 (ref.(3)). More broadly, DCA, LCA and their derivatives are major components of the recirculating pool of bile acids(4)  the size and composition of this pool are a target of therapies for primary biliary cholangitis and nonalcoholic steatohepatitis. Nonetheless, despite the clear impact of DCA and LCA on host physiology, an incomplete knowledge of their biosynthetic genes and a lack of genetic tools to enable modification of their native microbial producers limit our ability to modulate secondary bile acid levels in the host. Here we complete the pathway to DCA and LCA by assigning and characterizing enzymes for each of the steps in its reductive arm, revealing a strategy in which the A-B rings of the steroid core are transiently converted into an electron acceptor for two reductive steps carried out by Fe-S flavoenzymes. Using anaerobic in vitro reconstitution, we establish that a set of six enzymes is necessary and sufficient for the eight-step conversion of cholic acid to DCA. We then engineer the pathway intoClostridium sporogenes, conferring production of DCA and LCA on a nonproducing commensal and demonstrating that a microbiome-derived pathway can be expressed and controlled heterologously. These data establish a complete pathway to two central components of the bile acid pool.


  
Heterogeneous N2O5 reactions on atmospheric aerosols at four Chinese sites: improving model representation of uptake parameters 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (7) : 4367-4378
作者:  Yu, Chuan;  Wang, Zhe;  Xia, Men;  Fu, Xiao;  Wang, Weihao;  Tham, Yee Jun;  Chen, Tianshu;  Zheng, Penggang;  Li, Hongyong;  Shan, Ye;  Wang, Xinfeng;  Xue, Likun;  Zhou, Yue;  Yue, Dingli;  Ou, Yubo;  Gao, Jian;  Lu, Keding;  Brown, Steven S.;  Zhang, Yuanhang;  Wang, Tao
收藏  |  浏览/下载:14/0  |  提交时间:2020/07/02
Spin squeezing of 10(11) atoms by prediction and retrodiction measurements 期刊论文
NATURE, 2020, 581 (7807) : 159-+
作者:  Lan, Jun;  Ge, Jiwan;  Yu, Jinfang;  Shan, Sisi;  Zhou, Huan;  Fan, Shilong;  Zhang, Qi;  Shi, Xuanling;  Wang, Qisheng;  Zhang, Linqi;  Wang, Xinquan
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/03

The measurement sensitivity of quantum probes using N uncorrelated particles is restricted by the standard quantum limit(1), which is proportional to 1/root N. This limit, however, can be overcome by exploiting quantum entangled states, such as spin-squeezed states(2). Here we report the measurement-based generation of a quantum state that exceeds the standard quantum limit for probing the collective spin of 10(11) rubidium atoms contained in a macroscopic vapour cell. The state is prepared and verified by sequences of stroboscopic quantum non-demolition (QND) measurements. We then apply the theory of past quantum states(3,4) to obtain spin state information from the outcomes of both earlier and later QND measurements. Rather than establishing a physically squeezed state in the laboratory, the past quantum state represents the combined system information from these prediction and retrodiction measurements. This information is equivalent to a noise reduction of 5.6 decibels and a metrologically relevant squeezing of 4.5 decibels relative to the coherent spin state. The past quantum state yields tighter constraints on the spin component than those obtained by conventional QND measurements. Our measurement uses 1,000 times more atoms than previous squeezing experiments(5-10), with a corresponding angular variance of the squeezed collective spin of 4.6 x 10(-13) radians squared. Although this work is rooted in the foundational theory of quantum measurements, it may find practical use in quantum metrology and quantum parameter estimation, as we demonstrate by applying our protocol to quantum enhanced atomic magnetometry.