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您的检索式：作者名="Linhuan Zhang"
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| 1 | Validation of a HRGC–ECNI/LRMS method to monitor short-chain chlorinated paraffins in human plasma显示文摘Short-chain chlorinated paraffins(SCCPs) are produced in high volume and have the high potential to pose a threat to human health. However, little information is available for SCCP contamination in human blood/plasma/serum, mainly due to the difficulty of sample preparation and quantitative analysis. A method using high resolution gas chromatography coupled with electron capture negative ionization low resolution mass spectrometry(HRGC–ECNI/LRMS) was developed and validated to measure SCCPs in human plasma. The pretreatment process included protein denaturation and lipid elimination, liquid–liquid extraction with a mixture of n-hexane/dichloromethane(1:1, V/V), and cleanup on a multilayer silica column. The blank controls, including procedural blank, vacuum blood collection tube blank, and instrumental blank, were the most pivotal points for the reliable analysis of SCCPs. The average value of procedural blanks was 9.0 ng/g; and the method detection limit(MDL), calculated as the sum of the average procedural blank value and 3 times of the standard deviation of the procedural blanks, was 12.6 ng/g plasma. The validated method was applied to measure the concentrations of the total SCCPs(∑ SCCPs) in50 plasma samples from a general population. The measured plasma concentrations of ∑SCCPs ranged from | Jiazhi Xu Weijing Guo Linhuan Wei Yuan Gao Haijun Zhang Yichi Zhang Ming Sun Jiping Chen | 2019 | Journal of Environmental Sciences2019，31，1： | 5 |
| 2 | Web Resources for Microbial Data显示文摘There are multitudes of web resources that are quite useful for the microbial scientific research community. Here, we provide a brief introduction on some of the most notable microbial web resources and an evaluation of them based upon our own user experience. | Qinglan Sun Li Liu Linhuan Wu Wei Li Quanhe Liu Jianyuan Zhang Di Liu Juncai Ma | 2015 | Genomics, Proteomics & Bioinformatics2015，13，1： | 1 |
| 3 | Development of sensor system for real-time measurement of droplet deposition of agricultural sprayers显示文摘During the chemical application process,droplet deposition on a target is an important reference indicator for evaluating the spraying technique and its performance.In order to quickly obtain deposition results in the field,this study proposed a novel system based on surface humidity sensors.The basic principle is to convert the measured physical quantity change into a capacitance change,thereby realizing the physical quantity to electrical signal conversion.An Android application for mobile terminal and the corresponding coordinator were developed,which allowed operators to control multiple sensors simultaneously through the Bluetooth.The soluble tracer detected by spectrophotometer was used to calibrate the system.The obtained results indicated a good correlation between deposition volume and voltage increment output from the newly developed system(R2 of the six nozzles with Dv0.5 ranging from 107.28μm to 396.20μm were 0.8674-0.9729),and a power regression model based on the least squares technique(R2=0.8022)was developed.In the field test,the system exhibited an optimal performance in predicting the deposition volume.Compared with the conventional method of measuring tracer concentration,the deviation was less than 10%.In addition,the system exhibited good fitting curve of the deposition distribution with droplet number results measured by the water sensitive paper method. | Longlong Li Ruirui Zhang Liping Chen Tongchuan Yi Gang Xu Daxuan Xue Qing Tang Linhuan Zhang Andrew John Hewitt Yining An | 2021 | International Journal of Agricultural and Biological Engineering2021，14，5： | 1 |
| 4 | gcCov:Linked open data for global coronavirus studies显示文摘Impact Statement We present a method of mapping data from publicly available genomics and publication resources to the Resource Description Framework(RDF)and implement a server to publish linked open data(LOD).As one of the largest and most comprehensive semantic databases about coronaviruses,the resulted gcCov database demonstrates the capability of using data in the LOD framework to promote correlations between genotypes and phenotypes.These correlations will be helpful for future research on fundamental viral mechanisms and drug and vaccine designs. | Wenyu Shi Guomei Fan Zhihong Shen Chuan Hu Juncai Ma Yuanchun Zhou Zhen Meng Songnian Hu Yuhai Bi Liang Wang Haiying Yu Siru Lin Xiuqiang Sun Xinjiao Zhang Dongmei Liu Qinlan Sun Linhuan Wu | 2022 | mLife2022，1，1： | 0 |
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