化学计量学―光谱法在工农业生产中的应用

化学计量学是近几年发展迅速的化学量测方法。常用的化学计量学方法有小波变换、多元线性回归、偏最小二乘法、主成分分析、人工神经网络、遗传算法等。化学计量学方法与光谱法相结合广泛运用于工业生产、农业生产和环境监测等各个领域,体现出化学计量学在数据处理、信号解析等方面的重要作用。化学计量学―光谱法的建立为工、农业生产中多组分混合物的快速、准确测定及满足质量监控等要求提供了一条有效的途径。     

化学计量学在锕系元素分析中的应用

锕系元素的化学性质相似,各元素的分离和分析都很困难,用传统的数据解析手段,难以实现各元素的同时、快速分析。化学计量学是一种高效、功能强大的数据解析方法,对于样品复杂,基体干扰严重以及多组分样品的分析具有独特优势。将化学计量学应用于锕系元素的分析中,利用数学分离代替化学分离,可直接对样品进行测定。化学计量学方法也可用来指导试样的科学采集,进行实验设计、仪器分析操作条件选择等。从吸收光谱、ICP–AES及放射性测量3个方面综述了化学计量学在锕系元素分析中的应用,阐明了化学计量学在锕系元素分析中的应用难点及发展前景。     

MATLAB在化学计量学中的应用

化学计量学是数学和统计学，化学及计算机科学相互交叉形成的一门新的化学分支学科，是解决化学问题的强有力工具，目前运用于化学计量学的商品软件有MATLAB、Maple,MathCAD,EXCEL,SPSS等。MATLAB是一种高性能的数值计算的科学计算语言，具有程序开发环境简洁直观，数值稳定性好，函数资源丰富的特点，本文以几种常用的化学计量学方法为例，讨论了MATLAB在化学中的应用。     

化学计量学/信息学助推化学与分析测试科学研究范式转换

该文回顾了科学研究范式的形成并讨论了化学与分析测试科学的相关发展历程。实验科学向理论科学演进实际是现代科学的形成过程,对化学而言是一个困难的数学化进程,直到第三即计算科学范式形成,化学的现代科学地位才得以确定。分析化学或分析测试科学发展过程中遇到类似的问题,化学计量学/信息学在助推其完善分析化学“数学化”进程的同时,也能够挖掘更多有效信息。随着现代分析仪器的快速发展和数据海啸的到来,化学计量学/信息学作为成熟的化学学科分支和有力“武器”,正在协助并推动化学和分析测试科学步入第四即“数据密集型”的科学新范式。该文以作者实验室的研究工作为基础,论述了化学计量学/信息学助力推动化学与分析测试科学研究范式的转换过程中的相关进展,并对未来的研究动向进行了展望。     

信息论与化学计量学

本文讨论了信息论在发展分析化学计量学中的意义和作用以及信息论在化学计量学中应用的一般规律和关系，总结了信息科学对化学计量学发展的贡献。     

化学计量学在毒物化学归因中的应用

近十年来,化学计量学方法与分析技术相结合,对样品进行了表征和鉴别,产生了信息量大、代表性强的样品检测方法。在法医学案件鉴定处理中,使用这些新技术和数学/统计学方法,可获得统计可信度的结果,从而有助于法医学案件以及毒性化合物中毒事件的追踪溯源。该文对毒物检测中使用的化学计量学方法进行了详细讨论,对其优缺点进行了比较总结,并对毒物化学归因中化学计量学的未来发展应用进行了展望。     

化学计量学在激光诱导击穿光谱分析中的研究进展

激光诱导击穿光谱作为一种新兴的元素分析技术,具有实时在线、非接触、多元素同时检测等优点,是光谱分析领域内的一种前沿性分析手段.然而,如何从复杂大量的激光诱导击穿光谱数据提取有用信息,提高其定性、定量分析准确度是激光诱导击穿光谱技术目前面临的难题.化学计量学作为多学科交叉的化学分支学科,在数据处理、信号解析和模式识别等方面具有优势,能够解决传统化学研究方法难以解决的一些复杂问题.本文从光谱数据预处理、定性和定量分析三方面综述了近年来化学计量学方法在激光诱导击穿光谱中的研究进展.     

微机自动控制和数采技术在化学实验中的应用

随着计算机技术的迅速发展 ,特别是进入 90年代以来 ,随着价格低廉、使用方便的微型计算机的普及 ,将微机自动控制和数据采集技术用于化学实验领域的应用研究引起了国内学者的广泛兴趣。通过研制微机辅助测量及数据处理系统 ,大大减少了传统实验在人工读数、记录和处理等过程中所引入的人为误差 ,使各类实验的数据采集、显示、存储和处理合为一体 ,极大地提高了化学实验的自动化程度和实验数据的测量精度。由于广泛采用集成化和模块化电子技术 ,使得非电子专业人员也能较方便地设计制作出适合本专业的、性能优良的微机软硬件应用系统。微机…     

化学计量学在电分析化学中的应用

本文对化学计量学各种方法，诸如多元校正，因子分析，信号处理，参数估计，模式识别等电分析化学中的应用作了回顾及评述，指出了化学计量学电分析化学中应用的良好前景。     

本科化学类专业化学实验教材中的分析仪器

梳理了部分国内综合性院校本科化学类实验的课程设置及所用化学实验教材,同时简单介绍了科学仪器的分类。针对各类化学实验教材中分析仪器部分的内容重复、更新不及时、深度不够等问题,提出了解决方案,希望能对今后化学实验教材的编写提供不同的视角和有益的借鉴。     

Chemometrics:Research on Basic Algorithms and Their Applications

Some aspects of the fundamental problems of chemometrics are reviewed based on the research work undertaken in this laboratory. The topics touched upon Include analytical information theory, experimental design and optimization, sampling, analytical detection theory, calibration, signal processing, chemical pattern recognition, quantitative structure-activity relationships, digital simulation, and teaching chemometrics as a chemical discipline.     

化学计量学的基础算法与应用研究

本文综合讨论了化学计量学的一些基础问题,包括分析信息理论、实验设计与优化、采样理论、分析检测理论、校正理论、分析信号处理、化学模式识别和计算机数字模拟等,并介绍了作者实验室的部分近期工作。     

Interpreting Analytical Chemistry Data: Recent Advances in Curve Resolution with the Aid of Chemometrics

This overview summarizes the application and impact of chemometrics on the extraction and interpretation of analytical data with the use of curve resolution methods from about 2005 onward. The development and usage of well-known and novel chemometric methods have been described and approximately 85 papers have been referenced. Many suggested improvements to some well-known methods, for example, multivariate curve resolution, have been noted as well as the growing software for such methods. Also, these high dimensional resolution methods have found significant application and, arguably, have opened up a new perspective in calibration, that is, extraction of otherwise unobtainable analytical information from strongly overlapping profiles in the presence of interferences. Recent literature suggests that the use of chemometric methods in analytical chemistry for data extraction and interpretation provides indispensable tools for multivariate data processing and extraction of hidden information, which otherwise would be difficult to obtain.     

A novel trilinear decomposition algorithm： Three-dimension non-negative matrix factorization

Non-negative matrix factorization(NMF)is a technique for dimensionality reduction by placing non-negativity constraints onthe matrix.Based on the PARAFAC model,NMF was extended for three-dimension data decomposition.The three-dimension non-negative matrix factorization(NMF3)algorithm,which was concise and easy to implement,was given in this paper.The NMF3algorithm implementation was based on elements but not on vectors.It could decompose a data array directly without unfolding,which was not similar to that the traditional algorithms do.It has been applied to the simulated data array decomposition andobtained reasonable results.It showed that NMF3 could be introduced for curve resolution in chemometrics.     

Increasing the scope and power of flow-injection analysis through chemometric approaches

The objective of this paper is to illustrate how chemometrics can enhance the scope and power of flow injection analysis (FIA) by considering a few simple but representative cases where the ability of chemometrics to improve performance is not readily apparent. In principle, there are two phases when chemometrics can be usefully combined with FIA: first when developing an FIA method and, second, when treating raw data acquired from an FIA detection system. The most obvious application of chemometrics for the FIA practitioner is to use experimental design to replace the obsolete, but too often used one-variable-at-a-time approach when optimising an FIA method. Therefore, methods for screening variables and system optimisation are discussed. Raw data acquired from most FIA systems are first-order data, containing information about the dispersed sample plug. However, the information that is extracted when using FIA for routine purposes is of zero-order: predominantly peak height values. It is shown by a simple example that a chemometric approach in such cases can again provide additional useful information about the sample. First-order spectral data and second-order data more or less require a chemometrics approach for successful analysis, and examples of such applications are briefly discussed.     

Comprehensive Review on Application of FTIR Spectroscopy Coupled with Chemometrics for Authentication Analysis of Fats and Oils in the Food Products

Currently, the authentication analysis of edible fats and oils is an emerging issue not only by producers but also by food industries, regulators, and consumers. The adulteration of high quality and expensive edible fats and oils as well as food products containing fats and oils with lower ones are typically motivated by economic reasons. Some analytical methods have been used for authentication analysis of food products, but some of them are complex in sampling preparation and involving sophisticated instruments. Therefore, simple and reliable methods are proposed and developed for these authentication purposes. This review highlighted the comprehensive reports on the application of infrared spectroscopy combined with chemometrics for authentication of fats and oils. New findings of this review included (1) FTIR spectroscopy combined with chemometrics, which has been used to authenticate fats and oils; (2) due to as fingerprint analytical tools, FTIR spectra have emerged as the most reported analytical techniques applied for authentication analysis of fats and oils; (3) the use of chemometrics as analytical data treatment is a must to extract the information from FTIR spectra to be understandable data. Next, the combination of FTIR spectroscopy with chemometrics must be proposed, developed, and standardized for authentication and assuring the quality of fats and oils.     

Real-time Event Recognition and Analysis System for Nanopore Study

To achieve fast and accurate analysis of weak current signal of nanopore-based single molecule detection, an online data process based on adaptive threshold algorithm with data buffering technique and finite impulse response filtering was designed. A software system based on the data process was developed for online recognition and analysis of nanopore events during nanopore experiment. To testify the performance of the algorithm and software system, ideal signals with different noise level (20–100 pA) were generated at bandwidth ranging from 3 kHz to 100 kHz. The result showed that this software system was stable at different bandwidths and sampling rates and could be used in analyzing the signals at high noise. The proposed software system was further applied to aerolysin nanopore experiment for detection of poly(dA)₄ molecules. The results showed that the data process system could be applied in real nanopore recording experiment with high accuracy and speed.