便携式气相色谱仪中嵌入式谱峰识别算法设计

设计了嵌入式气相色谱谱峰识别算法,用于便携式气相色谱仪的数据分析处理,现场使用时能够不连接计算机就得出分析结果。该算法提出了用于谱峰识别的序列映射方法,减小了对斜率阈值的依赖,增强了谱峰分析的准确性和稳定性。通过实验对比可知,即使对于复杂组分的样本谱图,该嵌入式分析算法也能较好地分析提取出样品的谱峰数据,其分析结果与实验室色谱工作站软件分析结果非常接近,能够满足用户现场使用的分析需求,提高了便携仪器在现场使用的快捷性和便利性。

An embedded peak recognition algorithm design for chromatography data in portable gas chromatographic instrument

The evaluation and validation of an embedded peak recognition algorithm design for chromatography data analysis are presented. This portable gas chromatographic (GC) system can easily generate the measurement results directly without computer (PC) connecting in the field. In this research project, we demonstrated the sequential mapping as the peak recognition method to distinguish each part of the chromatographic peak. The new recognition algorithm not only reduces the dependence on the slope threshold, but also improves the relativity and accuracy of the data analysis process. The practice showed that the embedded analysis system can detect all the components even in the complex cases. Its output result was proven to be comparable to the Chemstation software data processing result. This portable GC design meets the analysis demand in the field and improves the convenience for its quick time response.