Alphapec Instrument
离子迁移谱(Ion mobility spectroscopy, IMS)常用于一些气体或是易挥发性物质的痕量检测，在海洋环保、工业过程控制和国防安全方面有广泛的应用。其区分物质的关键在于不同物质离子迁移谱谱图保留时间的差异。然而由于实际样品中组分复杂，导致不同物质的谱峰交叠在一起难以区分。因此本文提出了一种基于高斯函数拟合的反卷积算法，利用高斯函数逐步分解光谱，通过降低每一级高斯函数的标准差使谱峰更加尖锐，展宽变窄，以此实现谱峰的分离，提高光谱分辨率。
Ion mobility spectroscopy (IMS) is commonly used for trace detection of gases or volatile substances, and has wide applications in marine environmental protection, industrial process control, and national defense security. The key to distinguishing substances lies in the difference in retention time of ion migration spectra of different substances. However, due to the complex composition of actual samples, the overlapping peaks of different substances make it difficult to distinguish. Therefore, this article proposes a deconvolution algorithm based on Gaussian function fitting, which gradually decomposes the spectrum using Gaussian function. By reducing the standard deviation of each level of Gaussian function, the spectral peaks become sharper and wider, thus achieving peak separation and improving spectral resolution.
