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guiyi12金虫 (小有名气)
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请求翻译一段话
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希望大家可以帮我翻译这段话。急用。谢谢了 1 . Introduction Multi-way analysis is becoming popular due to the sophisticated experimental designs and the increasing amount of data originating from modern instrumentation, A particularly appealing property of multi-way data is the second-order advantage, a term coined to describe the analysis in the presence of unsuspected interferents. Second-order matrix data may be generated by collecting data tables with a fixed set of objects and variables under different experimental conditions, among which an attractive possibility is to take advantage of the analyte acid–base properties. For example, the voltammetric peak changes due to variations in the proton-transfer species composition with the pH give rise to voltammetry-pH matrix data, and grouping these type of data for a set of samples will produce a three-way array. Two popular chemometric methods are available to analyze three-way data, parallel factor analysis (PARAFAC) and multilinear partial least squares regression(NPLS). In this report, we focus on the analysis of adrenaline(E), dopamine(DA) and noradrenaline(NA) (chemical structures:Table1), three of the well-known and biologically active catecholamines (CA) biosynthesized in the adrenal medulla and sympathetic nerve terminals, play important roles as neurotransmitters. Pharmaceutically, they are widely used for the treatment of neural disorders. Catecholamine drugs are also used to treat hypertension, bronchial asthma, organic heart disease, and are used in cardiac surgery and myocardial infarction[1,6]. This has prompted the development of many methods for the determination of adrenaline, dopamine and noradrenaline,such as spectrophotometry [7-10], thermal lens microscopy[11], fluorimetry[12-14], capillary electrophoresis (CE)[15-22], high-performance liquid chromatography (HPLC)[23-31]. However, some sample pre-treatment involving separation, extraction and/or adsorption is generally necessary, and these can be time-consuming and complex. Electrochemical method techniques are relatively simple to apply,quite rapid and reasonably cheap. They often do not require substantial sample preparation and facilitate analysis in mixtures and in complex matrices such as those involving strongly acidic solutions or containing high levels of salts. Some reports have investigated the electrocatalytic oxidation of adrenaline, dopamine and noradrenaline[32-36], the oxidation mechanism at the electrode can be written as shown on (Table1), these three compounds are structurally similar, and their voltammetric responses overlap. In general, multivariate calibration methods have the ability to resolve overlapping peaks, and electrochemical responses in particular, leading to satisfactory prediction results. Thus, Ahmad Rouhollahi et al[37]. resolved the overlapping linear sweep voltammetric (LSV) signals from a mixture of dopamine and ascorbic acid with the aid of chemometrics. Partial least squares (PLS), classical least squares (CLS), principal component regression(PCR) and orthogonal signal correction-partial least squares (OSC-PLS) were applied for the simultaneous determination of these compounds. and it was found that the PLS method gave the best results with a relative error of prediction (%RPE) of 5.1% and 4.6% for the prepared binary mixtures of dopamine and ascorbic acid, respectively. Miquel Esteban et al[38]. compared for the resolution of overlap peaks in liquid chromatography with electrochemical detection. The first is voltammetric detection (VD) for the acquisition of currents as a function of potential and time with multivariate curve resolution by alternating least squares (MCR-ALS) for data analysis and quantification. The second is amperometric detection (AD), i.e. recording currents as a function of time for a fixed potential and calibration by partial least squares (PLS). Both approaches are used to analyse a model mixture of pyrocatechol, dopamine and Adrenaline. The results show that for high analyte concentrations VD-MCR-ALS provides accurate quantification with minimal effort. Bro. et al.[39]determine the concentrations of adrenaline and noradrenaline from mixtures of catecholamine standards using fluorescence detection with the aid of chemometrics PARAFAC and NPLS, The results for PARAFAC and N-PLSR were very similar with root mean squared errors of cross-validation (RMSECV) being in the range 24–30 nmol L-1. However, no reports have appeared on the application of voltammetry for the simultaneous determination of the three compounds with the aid of chemometrics. Thus, in the present work, a electrochemical procedure based on the generation of a pH gradient, obtained by adding thimbleful sodium hydroxide into hydrochloric acid solutions without changing the volume of solution, was developed for the determination E, DA and NA in the human urine samples. [ Last edited by guiyi12 on 2009-10-6 at 16:50 ] |
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slowstar
木虫 (职业作家)
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2楼2009-10-06 17:21:10
★ ★ ★ ★ ★ ★
guiyi12(金币+1,VIP+0):谢谢。怎么没有翻译完全啊 10-7 14:23
guiyi12(金币+5,VIP+0):thank you 10-12 17:30
guiyi12(金币+1,VIP+0):谢谢。怎么没有翻译完全啊 10-7 14:23
guiyi12(金币+5,VIP+0):thank you 10-12 17:30
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【软件翻译】自己在整理一下。意思是对的，本人最经忙 1。导言 多方式的分析越来越流行的原因是复杂的实验设计与现代仪器提供的数据，一个特别有吸引力的财产多有增加，双向数据是二阶优势，创造来描述，分析存在的术语没有料到的干扰物。二阶矩阵数据可能由收集的对象和变量设置固定的不同实验条件下，其中有吸引力的可能性是利用分析物酸优势的基础属性数据表。例如，伏安峰的变化是由于质子变化转移与pH值引起伏安法，pH值矩阵数据种类组成和分组的这些数据一组样本类型将产生三路阵列。两种流行的化学计量学方法可用于分析三路数据，平行因子分析（平行因子）和多偏最小二乘回归（不良资产）。 在这份报告中，我们着眼于肾上腺素分析（英文），多巴胺（DA）和去甲肾上腺素（NA）的（化学结构：表1），三个著名的生物活性儿茶酚胺（CA）的在生物合成和肾上腺髓质交感神经终端，作为神经递质发挥重要作用。药学上，被广泛用于治疗神经失调。儿茶酚胺的药物也用于治疗高血压，支气管哮喘，器质性心脏病，而且在心脏手术，心肌梗死[1,6使用]。这促使了肾上腺素，多巴胺和去甲肾上腺素，测定方法很多，如分光光度法[7-10]，热透镜显微镜[11]，荧光法[12-14]，（行政）毛细管电泳发展[15-22 ]，高效液相色谱法（HPLC）[23-31]。 然而，一些样品前处理涉及分离，提取和/或吸附，通常需要，而这些都是费时和复杂的。电化学方法技术相对简单 |
3楼2009-10-07 08:26:55
