化学计量学方法在食品分析中的应用

化学计量学是由数学、统计学、化学及计算机科学交叉形成的具有独特魅力的重要新兴学科。作为其核心理论体系的模式识别和多维校正方法,在海量数据信息挖掘与处理、分析信号分辨与解析中,体现了突出的优势,并能攻克传统分析方法难以处理的复杂难题,已广泛应用于食品分析领域。系统介绍了化学计量学核心理论方法及其在食品分析中的应用及研究进展,详细分析了模式识别和多维校正方法的基本原理及优缺点,指出了目前化学计量学方法在食品分析领域研究中需要解决的问题并对其未来发展方向进行了展望。

Applications of Chemometrics in Food Analysis

Chemometrics is a novel and unique interdisciplinary technique that integrates mathematics, statistics, chemistry and computer science. Pattern recognition and multivariate calibration method, as the core aspects of the technique, have exhibited overwhelming advantages in massive data mining and processing, as well as resolution and analysis of analytic signals. In addition, it is able to solve complex problems which are difficult to be solved by conventional analytic methods, resulting in the method to be widely used in many research fields, including food analysis. This paper reviews the fundamental principles of chemometrics in regards of its advantages and disadvantages,applications, and recent progresses. Furthermore, the review has pointed out problems which need to be solved in current researches, and highlighted the prospective aspects of the technique.