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三维荧光差谱分析法在毒品检测中的应用
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作者 席长娜 《市场周刊·理论版》 2019年第48期185-185,共1页
生物体液中毒品的快速检测和分析是关注焦点和研究课题,要引入一种基于深度学习辅助的三维荧光差谱分析方法,利用具有良好荧光特性的银纳米团簇作为荧光信号源,将其引入含有毒品的待分析尿液之中,捕获采集三维荧光差谱中毒品分子的指纹... 生物体液中毒品的快速检测和分析是关注焦点和研究课题,要引入一种基于深度学习辅助的三维荧光差谱分析方法,利用具有良好荧光特性的银纳米团簇作为荧光信号源,将其引入含有毒品的待分析尿液之中,捕获采集三维荧光差谱中毒品分子的指纹信息,进行不同毒品的快速定性定量检测和分析。 展开更多
关键词 三维荧光差谱分析法 计算 检测
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利用测井资料识别气层方法综述 被引量:1
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作者 肖亮 毛志强 《测井与射孔》 2007年第1期12-16,共5页
储层中由于天然气的存在,在测井曲线上就会显示出与油、水层不同的特征。根据这些差异特征,能够定量的识别出天然气。同时.由于气和水弛豫时间和扩散系数的差异,可以利用差谱分析法(DSM)和移谱分析法(SSM)来识别天然气。本文详... 储层中由于天然气的存在,在测井曲线上就会显示出与油、水层不同的特征。根据这些差异特征,能够定量的识别出天然气。同时.由于气和水弛豫时间和扩散系数的差异,可以利用差谱分析法(DSM)和移谱分析法(SSM)来识别天然气。本文详细叙述了各种不同测井天然气识别方法以及其适用条件,同时针对密度测井受井眼环境影响较大,直接采用密度-中子重叠法定性识别气层时会引起额外误差这一问题,提出了一种对密度-中子测井曲线重叠法的改进方法一视水层中子孔隙度法。 展开更多
关键词 天然气 识别 差谱分析法 谱分析 视水层中子孔隙度
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测井资料在天然气识别中的应用 被引量:7
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作者 肖亮 《新疆石油天然气》 CAS 2007年第2期12-16,39,共6页
根据天然气和水在测井响应上的差异,发展了一系列的识别天然气的有效方法。由于天然气和水的弛豫时间和扩散系数的差异,可以利用差谱分析法(DSM)和移谱分析法(SSM)来识别天然气。本文详细叙述了各种不同测井天然气识别方法以及其适用条... 根据天然气和水在测井响应上的差异,发展了一系列的识别天然气的有效方法。由于天然气和水的弛豫时间和扩散系数的差异,可以利用差谱分析法(DSM)和移谱分析法(SSM)来识别天然气。本文详细叙述了各种不同测井天然气识别方法以及其适用条件,同时针对密度测井受井眼环境影响较大这一问题,提出了视水层中子孔隙度法来识别天然气,并列举了几个气层识别实例,分析表明效果良好。 展开更多
关键词 天然气 重叠 差谱分析法 视水层中子孔隙度 识别
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Effect of a Novel Nucleating Agent on Isothermal Crystallization of Poly(L-lactic acid) 被引量:7
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作者 WEN Liang XIN Zhong 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2010年第6期899-904,共6页
The effect of a novel active nucleating agent(TBC8-eb) on the isothermal crystallization of poly(L-lactic acid) (PLLA) was studied by differential scanning calorimetry(DSC) and Fourier transform infrared spectroscopy(... The effect of a novel active nucleating agent(TBC8-eb) on the isothermal crystallization of poly(L-lactic acid) (PLLA) was studied by differential scanning calorimetry(DSC) and Fourier transform infrared spectroscopy(FTIR) . The analysis on kinetics demonstrates that TBC8-eb can not only accelerate the crystallization rate but also transform most of the original spherulite crystals of PLLA into sheaf-like crystals. Furthermore,the free energy of folding(σe) of PLLA and PLLA with TBC8-eb is 0.15 and 0.06 J·m-2,respectively,which suggests that the addition of TBC8-eb favors the regular folding of molecule chains in the crystallization of PLLA,improv-ing its crystallization rate. The FTIR results show that TBC8-eb can accelerate the conformational ordering of PLLA in the isothermal crystallization. The conformational ordering of PLLA nucleated with TBC8-eb begins with the interchain interaction of CH3,and then a short helix emerges where a couple of CH3 groups interact. 展开更多
关键词 CRYSTALLIZATION poly(L-lactic acid) nucleating agent
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Membrane preconcentration of iron in seawater samples and on-site determination in spectrophotometry 被引量:9
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作者 彭园珍 袁东星 +2 位作者 黄勇明 姜涛 刘宝敏 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2012年第2期315-320,共6页
A novel method for on-site determination of trace iron was developed using membrane preconcentration and spectrophotometric detection. Fe(II)-ferrozine complex was reacted with cetyltrimethylammonium bromide (CTAB... A novel method for on-site determination of trace iron was developed using membrane preconcentration and spectrophotometric detection. Fe(II)-ferrozine complex was reacted with cetyltrimethylammonium bromide (CTAB) to form a Fe(II)-ferrozine-CTAB paired compound, which was collected on a membrane by filtration under vacuum. The membrane was immersed in 2 mL of ethanol-nitric acid and the absorbance of the solution measured for quantitative analysis. Various factors affecting the iron collection and determination were investigated. With different sample preconcentration volumes, the range of determination was broadened to 0.5-120 ~tg/L. The detection limit of this method reached 0.19 ktg/L and the recoveries were between 97.2 and 109% when the concentration enrichment was about 45. The relative standard deviation (n = 7) was 1.9% for samples containing 10 ~g/L Fe. Twelve seawater samples were analyzed on-site using the proposed method, and two were also analyzed in inductively coupled plasma mass spectrometry. No significant difference was shown between the two methods by the Student's t-test. The method has also been used on-site for iron enrichment experiments with phytoplankton and concluded to be simple, accurate and inexpensive. 展开更多
关键词 IRON membrane filtration spectrophotometric detection
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Study on the ultraviolet-visible spectral feature of tobacco leaves by pattern recognition
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作者 RUAN Chun-sheng XU Chang-liang +5 位作者 ZHANG Ge FAN Jing LI Yu-zhong WANG Xiao-xia FANG Li CHEN Sui-yun 《Journal of Life Sciences》 2009年第9期34-42,53,共10页
In order to differentiate regions, varieties, and parts of tobacco leaves, two pattern recognition methods through pattern classification modeling were developed based on the comprehensive information of ultraviolet-v... In order to differentiate regions, varieties, and parts of tobacco leaves, two pattern recognition methods through pattern classification modeling were developed based on the comprehensive information of ultraviolet-visible spectroscopy (UV-VIS) by employing one-way analysis of variance (ANOVA1) and wave range random combination (WRRC) technology from MATLAB. This proposed classification method has never been reported previously and the instrument and operation for this method is much more convenient and efficient than previous reported classification methods. The result of this paper demonstrated that the spectral features extracted by ANOVAI and WRRC methods could be used to differentiate tobacco leaves with different patterns. The ANOVAI method had a training recognition rate range of 75.00-87.50%,4 and a validation recognition rate range of 57.14-100%. The WRRC method had a training recognition rate range of 75.00-94.12% and a validation recognition rate range of 66.67-100%. The ANOVAI method is more convenient and efficient in model developing, while the WRRC method utilizes fewer model variables and is more robust. 展开更多
关键词 Nicotiana tabacum ultraviolet-visible spectroscopy (UV-VIS) pattern recognition spectral feature DIFFERENTIATION
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A variable differential consensus method for improving the quantitative near-infrared spectroscopic analysis 被引量:1
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作者 DU GuoRong CAI WenSheng SHAO XueGuang 《Science China Chemistry》 SCIE EI CAS 2012年第9期1946-1952,共7页
Consensus methods have presented promising tools for improving the reliability of quantitative models in near-infrared(NIR) spectroscopic analysis.A strategy for improving the performance of consensus methods in multi... Consensus methods have presented promising tools for improving the reliability of quantitative models in near-infrared(NIR) spectroscopic analysis.A strategy for improving the performance of consensus methods in multivariate calibration of NIR spectra is proposed.In the approach,a subset of non-collinear variables is generated using successive projections algorithm(SPA) for each variable in the reduced spectra by uninformative variables elimination(UVE).Then sub-models are built using the variable subsets and the calibration subsets determined by Monte Carlo(MC) re-sampling,and the sub-model that produces minimal error in cross validation is selected as a member model.With repetition of the MC re-sampling,a series of member models are built and a consensus model is achieved by averaging all the member models.Since member models are built with the best variable subset and the randomly selected calibration subset,both the quality and the diversity of the member models are insured for the consensus model.Two NIR spectral datasets of tobacco lamina are used to investigate the proposed method.The superiority of the method in both accuracy and reliability is demonstrated. 展开更多
关键词 near infrared spectroscopy multivariate calibration consensus model variable selection uninformative variable elim-ination successive projections algorithm
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