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通过 HS-SPME-GC 技术与数学建模相结合,分析静态和动态条件下的藏红花醛的创新方法。

Innovative method for analysis of safranal under static and dynamic conditions through combination of HS-SPME-GC technique with mathematical modelling.

机构信息

Department of Food Science and Technology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.

Department of Chemistry, Faculty of Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.

出版信息

Phytochem Anal. 2020 Sep;31(5):564-574. doi: 10.1002/pca.2920. Epub 2020 Jan 29.

Abstract

INTRODUCTION

Saffron (Crocus sativus L.) is a well-known spice which is used as the colourant and flavouring agent in food products. Safranal could act as an indicator for saffron grading, authentication and adulteration, as well as for quality evaluation of saffron flavoured products; since it is the main odourant and the most aroma-active compound of saffron.

OBJECTIVES

Firstly, determination of the optimum static conditions for safranal extraction through headspace solid-phase micro-extraction combined with gas chromatography (HS-SPME-GC) technique. Secondly, safranal measurement in different saffron flavoured products under the optimised static conditions. Thirdly, elucidation of the method efficiency for safranal measurement under non-equilibrium conditions for a saffron drink sample.

METHODS

Different equilibrium times, pH and salt concentrations were applied on aqueous solutions of safranal. Accordingly, the optimised static conditions were determined for safranal extraction through HS-SPME-GC approach using polydimethylsiloxane (PDMS) fibre.

RESULTS

Under static conditions, a linear response was obtained for standard curve within the safranal concentration range of 0.08-30 ppm, with R = 0.9999. The limits of detection and quantification were 0.04 and 0.08 ppm, respectively. Despite the fact that safranal peak area was an efficient parameter for quantifications under static conditions; its poor reproducibility was proved under dynamic conditions for the saffron drink sample. This observation necessitated application of kinetic studies on real food samples.

CONCLUSIONS

Safranal extraction was successfully performed from aqueous matrices through HS-SPME-GC, under static conditions. Mathematical modelling resulted in kinetic parameters that improved the efficiency of safranal measurement under dynamic conditions, using PDMS fibre.

摘要

简介

藏红花(藏红花)是一种著名的香料,用作食品产品的着色剂和调味剂。藏红花醛可作为藏红花分级、鉴定和掺假的指示剂,以及藏红花调味产品的质量评价;因为它是藏红花的主要气味和最具香气活性的化合物。

目的

首先,通过顶空固相微萃取结合气相色谱(HS-SPME-GC)技术确定藏红花醛提取的最佳静态条件。其次,在优化的静态条件下测量不同藏红花调味产品中的藏红花醛。第三,阐明非平衡条件下藏红花饮料样品中藏红花醛测量的方法效率。

方法

不同的平衡时间、pH 值和盐浓度应用于藏红花醛的水溶液。因此,通过 PDMS 纤维的 HS-SPME-GC 方法确定了用于藏红花醛提取的最佳静态条件。

结果

在静态条件下,标准曲线在 0.08-30ppm 的藏红花醛浓度范围内获得线性响应,R = 0.9999。检测限和定量限分别为 0.04 和 0.08ppm。尽管藏红花醛峰面积是静态条件下定量的有效参数;但在藏红花饮料样品的动态条件下,其重现性较差。这一观察结果需要对实际食品样品进行动力学研究。

结论

通过 HS-SPME-GC,在静态条件下成功地从水基质中提取藏红花醛。数学模型得出的动力学参数使用 PDMS 纤维提高了动态条件下藏红花醛测量的效率。

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