Excitation–emission matrix spectroscopy coupled with chemometrics for monitoring ozonation of olive oil and olive pomace oil†

IF 2.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL Analytical Methods Pub Date : 2025-02-07 DOI:10.1039/D4AY02267J
Paula Domínguez-Lacueva, Ewa Sikorska and María J. Cantalejo-Díez
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Abstract

The effects of ozonation on the Total Polyphenol Content (TPC) of olive oils remain largely unexplored, despite the significant role that polyphenols play in enhancing the health benefits and quality of these oils. Understanding how ozone treatment impacts phenolic compounds is vital, especially considering the documented negative effects of thermal and photochemical oxidation on TPC. The aim of this study was to explore the use of fluorescence spectroscopy combined with chemometrics to develop multivariate models for monitoring the effects of ozonation on TPC and key physicochemical parameters such as the peroxide index (PI), acidity index (AI), iodine value (IV) and viscosity (V) in both, virgin and pomace olive oils. Parallel factor analysis and principal component analysis of fluorescence excitation–emission matrices (EEMs) of ozonated olive oils revealed that as the ozonation process progressed, TPC and fluorescence emission decreased. And, at the same time, ozonation increased the values of oxidation indicators such as PI, AI, viscosity and intensity of the Rayleigh scattering signal. PLS models based on analysis of unfolded EEMs exhibited good predictive performance for PI (R2 = 0.822; RPD > 2.5), and moderate for TPC and V (R2 = 0.792 and 0.753; RPD > 2). In summary, we demonstrated the feasibility of EEM spectroscopy for monitoring the ozonation process. The use of this method can ease the characterization of ozonated olive oils and, additionally, make the analysis more sustainable.

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激发-发射矩阵光谱耦合化学计量学用于监测橄榄油和橄榄渣油的臭氧化。
臭氧化对橄榄油中总多酚含量(TPC)的影响在很大程度上仍未被探索,尽管多酚在提高这些油的健康益处和质量方面发挥着重要作用。了解臭氧处理如何影响酚类化合物是至关重要的,特别是考虑到文献记载的热和光化学氧化对TPC的负面影响。本研究的目的是探索利用荧光光谱结合化学计量学建立多变量模型,以监测臭氧化对初榨橄榄油和果渣橄榄油中TPC和关键理化参数(如过氧化物指数(PI)、酸度指数(AI)、碘值(IV)和粘度(V)的影响。对臭氧化橄榄油荧光激发-发射矩阵(EEMs)的平行因子分析和主成分分析表明,随着臭氧化过程的进行,TPC和荧光发射降低。同时,臭氧化提高了氧化指标PI、AI、粘度和瑞利散射信号强度。基于未折叠eem分析的PLS模型对PI具有良好的预测性能(R2 = 0.822;RPD > 2.5), TPC和V为中度(R2 = 0.792和0.753;综上所述,我们证明了EEM光谱监测臭氧化过程的可行性。使用这种方法可以简化臭氧化橄榄油的表征,此外,使分析更具可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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