Preparation of SnS2/MoS2with p-n heterojunction for NO2sensing.

Conventional metal sulfide (SnS2) gas-sensitive sensing materials still have insufficient surface area and slow response/recovery times. To increase its gas-sensing performance, MoS2nanoflower was produced hydrothermally and mechanically combined with SnS2nanoplate. Extensive characterization results show that MoS2was effectively integrated into SnS2. Four different concentrations of SnS2-MoS2composites were evaluated for their NO2gas sensitization capabilities. Among them, SnS2-15% MoS2at 170 °C demonstrated the greatest response values to NO2, 7.3 for 1 ppm NO2, which is about three times greater than the SnS2sensor at 170 °C (2.58). The creation of pn junctions following compositing with SnS2was determined to be the primary reason for the composite's faster recovery time, while the heterojunction allowed for the rapid separation of hole-electron pairs. Because the MoS2surface has multiple vacancy defects, the adsorption energy of these vacancies is significantly higher than that of other places, resulting in increased NO2adsorption. Furthermore, MoS2can serve as active adsorption sites for SnS2micrometer sheets during gas sensing. This study may help to build new NO2gas sensors.

Detection of acute ischemic stroke and backtracking stroke onset time via machine learning analysis of metabolomics.

The time window from stroke onset is critical for the treatment decision. However, in unknown onset stroke, it is often difficult to determine the exact onset time because of the lack of assessment methods, which can result in controversial and random treatment decisions. Previous studies have shown that serum biomarkers, in addition to imaging assessment, are useful for determining the stroke onset time. However, as yet there are no specific biomarkers or corresponding methodologies that are accurate and effective for determining the onset time of unknown onset stroke. Herein, we describe our novel advanced metabolites-based machine learning method (termed extreme gradient boost [XGBoost]) combined with recursive feature elimination, which accurately screened five metabolites from 1124 metabolites detected in serum. These metabolites were capable of both detecting acute ischemic stroke and backtracking the acute ischemic stroke onset time. To further investigate the pathological mechanisms of acute ischemic stroke, we also examined characteristic metabolites in different brain regions, and found two metabolites that could distinguish the core infarct area from the ischemic penumbra. Although this study is based on animal experiments, our machine learning framework and selected metabolites may provide a basis for clinical stroke evaluation and treatment.

Research on cavitation effect of microtextured array.

In this paper, the surface texture parameters and distribution patterns are studied by numerical simulation and experiment. First, a three-dimensional micro-textured CFD fluid lubrication model with cavitation effect is established, and different texture arrays are designed to study the influence of different distribution modes on bearing capacity, friction coefficient and pressure distribution of the oil film. Then, the simulation results are further analyzed and verified by the visualized plane slider experimental platform, and the formation rules of cavitation bubbles in the micro-textured array, as well as the influences of the surface shape and different distribution modes of the micro-textured array on the cavitation bubbles are discussed. The results show that the existence of cavitation is one of the main reasons for the microtexture to increase the bearing capacity of the oil film, which cannot be ignored in the simulation study. The texture array with single symmetric orientation is the best to improve the oil film bearing capacity, and the bearing performance is the best when the texture inclination angle is 26.6°.The friction coefficient of the asymmetrically oriented textured array is 29.4% lower than that of the non-textured sample.The results in the experiment are consistent with the simulation.

External quality assessment on detection of hepatitis C virus RNA in clinical laboratories of China.

BACKGROUND: As with many studies carried out in European countries, a quality assurance program has been established by the National Center for Clinical Laboratories in China (NCCL). The results showed that the external quality assessment significantly improves laboratory performance for quantitative evaluation of hepatitis C virus (HCV) RNA. METHODS: Serum panels were delivered twice annually to the clinical laboratories which performed HCV RNA detection in China. Each panel made up of 5 coded samples. All laboratories were requested to carry out the detection within the required time period and report on testing results which contained qualitative and/or quantitative test findings, reagents used and relevant information about apparatus. All the positive samples were calibrated against the first International Standard for HCV RNA in a collaborative study and the range of comparison target value (TG) designated as +/- 0.5 log. RESULTS: The numbers of laboratories reporting on qualitative testing results for the first and second time external quality assessment were 168 and 167 in the year of 2003 and increased to 209 and 233 in 2007; the numbers of laboratories reporting on quantitative testing results were 134 and 147 in 2003 and rose to 340 and 339 in 2007. Deviation between the mean value for quantitative results at home in 2003 and the target value was above 0.5 log, which was comparatively high. By 2007, the target value was close to the national average except for the low concentrated specimens (10(3) IU/ml). The percentage of results within the range of GM +/- 0.5 log(10) varied from 8.2% to 93.5%. Some laboratories had some difficulties in the exact quantification of the lowest (3.00 log IU/ml) as well as of the highest viral levels (6.37 log IU/ml) values, very near to the limits of the dynamic range of the assays. CONCLUSIONS: The comparison of these results with the previous study confirms that a regular participation in external quality assessment (EQA) assures the achievement of a high proficiency level in the diagnosis of HCV infection. During the 5-year external quality assessment, sensitivity and accuracy of detection in most of the clinical laboratories have been evidently improved and the quality of kits has also been substantially improved.

Robust and traditional statistical methods in the establishment of immunoglobulin E target values in external quality assessment program.

BACKGROUND: In an EQA scheme, peer group mean is conventionally regarded as the target after removing values exceeding the mean+/-3SD. However, this computation fails if there are some outliers. METHODS: The outliers in each original data set were separately deleted by traditional and robust statistical methods. The data distributions of original and trimmed data sets were separately tested by Shapiro-Wilks or Kolmogorov-Smirnov Z test. The means of peer groups were used to set IgE targets. The difference between targets set by both methods was tested by 1-sample t test. RESULTS: The original data sets were not all Gaussian distributed. After deletion of outliers using robust statistical method, the modified data sets of all tested groups were normally distributed. IgE targets established by robust and traditional methods were significantly different in some groups. The incompatible IgE targets derived all from the original and trimmed data sets which were not Gaussian distributed. CONCLUSIONS: The premise for choosing a traditional method to delete outliers and using peer group means as targets was that the data sets must be Gaussian distributed. The reasons that caused the targets to be incompatible possibly were the 2 rules to be broken. Robust statistical method was used for deletion of outliers due to the distorted distribution.

[Establishment of the first national standards for nucleic acid amplification technology assay for HBV DNA].

OBJECTIVES: To establish a Chinese national standard for a nucleic acid test (NAT) for HBV DNA. METHODS: The candidate sample of HBV DNA positive plasma was diluted with HBV-negative human plasma. The sample was lyophilised with a concentration of approximately 300,000 copies/ml. The measurement methods used included Roche Amplicor assay (version 2.0) and real-time PCR. The lyophilised preparation was calibrated by the international standard (NIBSC code: 97/746) from NIBSC. RESULTS: The quantity of this lyophilised preparation was (1.29+/-0.24) x 10(5)IU/ml in comparison with the international standard for HBV DNA 97/746. The stability test indicated that the sample was stable at room temperature (20 to 25 degrees C) for 2 weeks and at 37 degrees C for at least 1 week. Long-term stability was observed at 2 to 8 degrees C for 6 months and at -20 degrees C for more than 2 years with no significant changes. The vial-to-vial imprecision rate was 3.53%. CONCLUSION: Based on the results of this study, our lyophilized sample can be used as a standard in China for the nucleic acid test (NAT) for HBV DNA.

Lyophilized standards for the calibration of real time PCR assay for hepatitis C virus RNA.

BACKGROUND: Since October 1997, an international standard for hepatitis C virus (HCV) nucleic acid amplification technology assay, 96/790, has been available. We compared a series of lyophilized standards with known HCV RNA concentrations against the international standard in fluorescence quantitative PCR detection. METHODS: A series of lyophilized sera were calibrated by ROCHE COBAS AMPLICOR HCV Monitor test against the international standard and sent to various manufacturers to analyse the samples using their own kits. Then calibration curves from the series were compared with that obtained from the external standard calibration curve with the manufacture's series. RESULTS: The standard calibration curve with the series of lyophilized serum showed an excellent correlation (R(2) > 0.98), slope and intercept that were similar to those from the manufacture's series. When the standard calibration curve from the series of lyophilized standards were used to define the values of the given sample, lower coefficients of variation between kits from different manufactures were obtained. CONCLUSION: The results showed that the lyophilized standards could be used to setup the standard calibration curve for clinical HCV RNA quantitative PCR detection.