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同步分析 FTIR 光谱和 GCMS 色谱图评估热降解植物油。

Synchronized Analysis of FTIR Spectra and GCMS Chromatograms for Evaluation of the Thermally Degraded Vegetable Oils.

机构信息

Universiti Malaysia Sarawak, Faculty of Resource Science and Technology, 94300 Kota Samarahan, Sarawak, Malaysia.

出版信息

J Anal Methods Chem. 2014;2014:271970. doi: 10.1155/2014/271970. Epub 2014 Jan 19.

Abstract

Fourier Transform Infrared (FTIR) and Gas Chromatography Mass Spectrometry (GCMS) are two common instruments used for analysis of edible oils. The output signal is often analysed on the software attached to the workstations. The processing software is usually individualised for a specific source. The output of GCMS cannot be analysed on the FTIR hence analysts often need to juggle between instruments when multiple techniques are employed. This could become exhaustive when a large dataset is involved. This paper reports a synchronised approach for analysis of signal from FTIR and GCMS. The algorithm is demonstrated on a dataset of edible oils to investigate the thermal degradation of seven types of edible oils treated at 100°C and 150°C. The synchronised routines identify peaks present in FTIR and GCMS spectra/chromatograms where the information is subsequently extracted onto peak tables for further analysis. In this study, it is found that palm based products and corn oils were relatively more stable with higher content of antioxidants tocopherols and squalene. As a conclusion, this approach allows simultaneous analysis of signal from multiple sources and samples enhancing the efficiency of the signal processing process.

摘要

傅里叶变换红外(FTIR)和气相色谱-质谱联用(GCMS)是用于食用油分析的两种常用仪器。输出信号通常在工作站上附带的软件上进行分析。处理软件通常针对特定来源进行个性化设置。GCMS 的输出不能在 FTIR 上进行分析,因此当使用多种技术时,分析人员通常需要在仪器之间进行切换。当涉及到大型数据集时,这可能会非常繁琐。本文报告了一种用于同步分析 FTIR 和 GCMS 信号的方法。该算法在食用油数据集上进行了演示,以研究在 100°C 和 150°C 下处理的七种食用油的热降解情况。同步例程可识别 FTIR 和 GCMS 光谱/色谱中存在的峰,随后将信息提取到峰表中进行进一步分析。在这项研究中,发现棕榈基产品和玉米油相对更稳定,含有较高含量的抗氧化剂生育酚和角鲨烯。总之,这种方法允许同时分析来自多个源和样本的信号,提高了信号处理过程的效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b4e4/3915895/3deec95b36af/JAMC2014-271970.001.jpg

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