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| 1 | Determination of Eight Organophosphorus Pesticide Residues in Pepper by QuEChERS-Gas Chromatography显示文摘[Objectives] This study was conducted to establish a QuEChERS-gas chromatography method for determination of eight kinds of organophosphorus pesticide residues in pepper. [Methods] The samples were extracted by acetonitrile,and anhydrous magnesium sulfate was used for salting out. The extracts were then purified by dispersive solid phase extraction combining with GCB,C18 and PSA. Samples were analyzed by FPD detector. External standard was used as quantitive method. [Results]The detection limits were in the range of 0. 001-0. 008 mg/kg,the average recoveries ranged from 83. 5% to 101. 2%,and the relative standard deviation( RSD) of the eight organophosphorus pesticide residues were below 5%. [Conclusions] The method is simple,quick,easy and effective for the determination of pepper. | Siyuan BI Zhiqiang ZHU Wenhua CHI Mingshan CHEN Xingxing WANG Shouan ZHOU | 2018 | Agricultural Biotechnology2018，7，1： | 7 |
| 2 | Trace metals in soil,dust,and tree leaves of the urban environment,Guangzhou,China显示文摘Metals have been constantly introduced to urban environments via various point and non-point sources of pollution,and have contaminated different urban compartments(sample types).However,most research projects have focused on a single environmental compartment to characterize urban metal contamination.In the present study,an integrated sampling program that includes surface soils,different size fractions of soil and road dust(<50 μm,50-100 μm,100-250 μm,and 250-1000 μm),tree leaves,and grasses,was conducted in a typical urban area of Guangzhou,China.The aim of the study was to investigate the interrelationships among the metal pollutants in these samples.The concentrations of trace metals varied greatly among different sample types,and their distribution was generally in the following order:road dust > soil dust ≥ surface soils ≈ top soils > grasses ≥ tree leaves.As for the relationships among the trace metals,different combinations were seen among the sample types,indicating different loadings of trace metals in the sampling medium.Significant correlations of metal concentrations were found between tree leaves and the smallest(<50 μm) fraction of road dust,and between soil dust(50-100 μm) and surface soils,suggesting that trace metals in these samples may influence each other. | BI XiangYang LIANG SiYuan LI XiangDong | 2013 | Chinese Science Bulletin2013，58，2： | 3 |
| 3 | Histones released by NETosis enhance the infectivity of SARS-CoV-2 by bridging the spike protein subunit 2 and sialic acid on host cells显示文摘Neutrophil extracellular traps(NETs)can capture and kill viruses,such as influenza viruses,human immunodeficiency virus(HIV),and respiratory syncytial virus(RSV),thus contributing to host defense.Contrary to our expectation,we show here that the histones released by NETosis enhance the infectivity of SARS-CoV-2,as found by using live SARS-CoV-2 and two pseudovirus systems as well as a mouse model.The histone H3 or H4 selectively binds to subunit 2 of the spike(S)protein,as shown by a biochemical binding assay,surface plasmon resonance and binding energy calculation as well as the construction of a mutant S protein by replacing four acidic amino acids.Sialic acid on the host cell surface is the key molecule to which histones bridge subunit 2 of the S protein.Moreover,histones enhance cell-cell fusion.Finally,treatment with an inhibitor of NETosis,histone H3 or H4,or sialic acid notably affected the levels of sgRNA copies and the number of apoptotic cells in a mouse model.These findings suggest that SARS-CoV-2 could hijack histones from neutrophil NETosis to promote its host cell attachment and entry process and may be important in exploring pathogenesis and possible strategies to develop new effective therapies for COVID-19. | Weiqi Hong Jingyun Yang Jun Zou Zhenfei Bi Cai He Hong Lei Xuemei He Xue Li Aqu Alu Wenyan Ren Zeng Wang Xiaohua Jiang Kunhong Zhong Guowen Jia Yun Yang Wenhai Yu Qing Huang Mengli Yang Yanan Zhou Yuan Zhao Dexuan Kuang Junbin Wang Haixuan Wang Siyuan Chen Min Luo Ziqi Zhang Tiangi Lu Li Chen Haiying Que Zhiyao He Qiu Sun Wei Wang Guobo Shen Guangwen Lu Zhiwei Zhao Li Yang Jinliang Yang Zhenling Wang Jiong Li Xiangrong Song Lunzhi Dai Chong Chen Jia Geng Maling Gou Lu Chen Haohao Dong Yong Peng Canhua Huang Zhiyong Qian Wei Cheng Changfa Fan Yuquan Wei Zhaoming Su Aiping Tong Shuaiyao Lu Xiaozhong Peng Xiawei Wei | 2022 | Cellular & Molecular Immunology2022，19，5： | 2 |
| 4 | Research Advances in Detection Methods of Herbicide Paraquat显示文摘This paper summarized the main detection methods of paraquat,including the instrumental analysis like HPLC,GC,LC-MS / MS,and so on. The research prospects of paraquat detection were also put forward. | Xu Zhen Zhao Fang Xie Benhua Chen Mingshan Zhu Hai Yue Zhenfeng Bi Siyuan | 2014 | Plant Diseases and Pests2014，5，6： | 1 |
| 5 | A novel in situ method for sampling urban soil dust: Particle size distribution, trace metal concentrations, and stable lead isotopes显示文摘 | Xiangyang Bi Siyuan Liang Xiangdong Li | 2013 | Environmental Pollution2013，，： | 1 |
| 6 | A two-dimensional MoS_(2) array based on artificial neural network learning for high-quality imaging显示文摘As the basis of machine vision,the biomimetic image sensing devices are the eyes of artificial intelligence.In recent years,with the development of two-dimensional(2D)materials,many new optoelectronic devices are developed for their outstanding performance.However,there are still little sensing arrays based on 2D materials with high imaging quality,due to the poor uniformity of pixels caused by material defects and fabrication technique.Here,we propose a 2D MoS_(2)sensing array based on artificial neural network(ANN)learning.By equipping the MoS_(2)sensing array with a“brain”(ANN),the imaging quality can be effectively improved.In the test,the relative standard deviation(RSD)between pixels decreased from about 34.3%to 6.2%and 5.49%after adjustment by the back propagation(BP)and Elman neural networks,respectively.The peak signal to noise ratio(PSNR)and structural similarity(SSIM)of the image are improved by about 2.5 times,which realizes the re-recognition of the distorted image.This provides a feasible approach for the application of 2D sensing array by integrating ANN to achieve high quality imaging. | Long Chen Siyuan Chen Jinchao Wu Luhua Chen Shuai Yang Jian Chu Chengming Jiang Sheng Bi Jinhui Song | 2023 | Nano Research2023，16，7： | 0 |
| 7 | Rapid and accurate identification of SARS-CoV-2 variants containing E484 mutation显示文摘The ongoing coronavirus disease 2019(COVID-19)pandemic caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection has led to over 240 million confirmed infections and severe economic burdens worldwide.Multiple emerging SARS-CoV-2 variants of concern(VOCs)and variants of interest(VOIs)have recently beenidentifiedand are nowspreading internationally,including B.1.1.7(Alpha),B.1.351(Beta),P.1(Gamma),B.1.617(Delta and Kappa),C.37(Lambda),and B.1.621(Mu),all of which appear to bemore easily transmitted(WHO,COVID-19Weekly EpidemiologicalUpdate).Beta andGamma VOCs can seriously impair the protective efficacy of existing vaccines,potentially precluding the possibility of attaining'herd immunity.' | Yuan Zhang Yanqiu Wei Siyuan Yang Yunlong Li Jing Wang Zhaoyan Nie Yuhai Bi Wenjun Liu Linghang Wang Limin Yang | 2022 | The Innovation2022，3，1： | 0 |
| 8 | Distinct durability of IgM/IgG antibody responses in COVID-19 patients with differing severity显示文摘Dear Editor,The coronavirus disease 2019(COVID-19)pandemic is generating a demand for simultaneous vaccine development,which is expected to prevent future outbreaks by eliciting sufficient and protective immunity. | Junyan Han Ning Zhang Danying Chen Yuhuan Gong Guoli Li Yaxian Kong Lin Pu Chen Chen Jingyuan Liu Qi Wang Ju Zhang Xuesen Zhao Juan Du Kai Han Chuan Song Linghang Wang Mingxi Hua Yu Hao Rui Song Yangzi Song Fengting Yu Siyuan Yang Haofeng Xiong Wei Zhang George F.Gao Fujie Zhang Ang Li Hui Zeng Yuhai Bi | 2022 | Science China(Life Sciences)2022，65，1： | 0 |
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