Department of Chemistry, Sharif University of Technology, P.O. Box 11155-9516, Tehran, Iran.
Anal Chim Acta. 2010 Mar 10;662(2):143-54. doi: 10.1016/j.aca.2010.01.013. Epub 2010 Jan 18.
Volatile components of saffron from different regions of Iran were extracted by ultrasonic-assisted solvent extraction (USE) and were analyzed by gas chromatography-mass spectrometry (GC-MS). Self-modeling curve resolution (SMCR) was proposed for resolving the co-eluted GC-MS peak clusters into pure chromatograms and mass spectra. Multivariate curve resolution-objective function minimization (MCR-FMIN) and multivariate curve resolution-alternating least square (MCR-ALS) were successfully used for this purpose. The accuracy of the qualitative and quantitative results was improved considerably using SMCR techniques. Comparison of the results of saffron from different regions of Iran showed that their volatile components are different from chemical components and relative percentages points of view. Safranal is the main component of all samples. In addition, 4-hydroxy-2,6,6-trimethyl-1-cyclohexene-1-carboxaldehyde (HTCC), 2(5H)-furanone, 2,4,4-trimethyl-3-carboxaldehyde-5-hydroxy-2,5-cyclohexadien-1-one and 2(3H)-furanone, dihydro-4-hydroxy were common in all samples with high percentages. The results proved that combining of SMCR techniques with USE-GC-MS produces a powerful tool for the analysis of the complex samples.
采用超声辅助溶剂萃取（USE）提取来自伊朗不同地区的藏红花的挥发性成分，并通过气相色谱-质谱联用（GC-MS）进行分析。提出了自建模曲线分辨（SMCR）法，以将共洗脱的 GC-MS 峰簇解析为纯色谱和质谱。多元曲线分辨-目标函数最小化（MCR-FMIN）和多元曲线分辨交替最小二乘法（MCR-ALS）成功地用于此目的。使用 SMCR 技术，大大提高了定性和定量结果的准确性。对来自伊朗不同地区的藏红花的结果进行比较表明，它们的挥发性成分在化学组成和相对百分比方面存在差异。藏红花醛是所有样品的主要成分。此外，4-羟基-2,6,6-三甲基-1-环己烯-1-羧酸醛（HTCC）、2（5H）-呋喃酮、2,4,4-三甲基-3-羧醛-5-羟基-2,5-环己二烯-1-酮和 2（3H）-呋喃酮、二氢-4-羟基在所有样品中都以高百分比共同存在。结果证明，将 SMCR 技术与 USE-GC-MS 相结合，为分析复杂样品提供了一种强大的工具。
