Dept. Food Science, University of Copenhagen, Denmark.
Analyst. 2013 Jun 21;138(12):3502-11. doi: 10.1039/c3an36276k. Epub 2013 May 13.
An automated method (FastChrom) for baseline correction, peak detection and assignment (grouping) of similar peaks across samples has been developed. The method has been tested both on artificial data and a dataset obtained from gas chromatograph analysis of wine samples. As part of the automated approach, a new method for baseline estimation has been developed and compared with other methods. FastChrom has been shown to perform at least as well as conventional software. However, compared to other approaches, FastChrom finds more peaks in the chromatograms and not only those with retention times defined by the user. FastChrom is fast and easy to use and offers the possibility of applying a retention time index which facilitates the identification of peaks and the comparison between experiments.
已经开发出一种用于基线校正、峰检测和峰分配(分组)的自动化方法(FastChrom),可用于跨样本的相似峰。该方法已在人工数据和从葡萄酒样品的气相色谱分析获得的数据集上进行了测试。作为自动化方法的一部分,已经开发出一种新的基线估计方法,并与其他方法进行了比较。FastChrom 的性能至少与传统软件一样好。然而,与其他方法相比,FastChrom 在色谱图中发现了更多的峰,而不仅仅是那些由用户定义保留时间的峰。FastChrom 快速易用,并提供了应用保留时间索引的可能性,这有助于峰的识别和实验之间的比较。