Synchronous Fluorescence Spectroscopy Method based on Chemometrics: Authentication of Extra Virgin Olive Oils Harvested in Mut (Mersin) Region and Refined Edible Oils

Year 2023, Volume: 5 Issue: 2, 278 - 287, 31.12.2023

Fatma Nur Arslan , İsmail Varlı

https://doi.org/10.47112/neufmbd.2023.25

Abstract

This study aims to gain insights into the prediction for the authentication of extra virgin olive oils (VOOs) from two different harvest terms (2019 and 2020 October) in Mut (Mersin) region and other refined edible oils from different brands. To pursue the research, an analytical approach based on synchronous fluorescence (SyF) spectroscopy combined with chemometrics including PCA and SIMCA was used. The SyF data were gathered in the emission region of 200–800 nm, and the emission/ excitation monochromators were synchronously used. The data of VOO and different types of edible oil samples were analyzed by the multivariate data analysis including PCA and SIMCA. It has been determined that the classification ability of oil types from different harvest terms is quite high by PCA score graphs; and the VOOs could be classified in a 100% different group from other oils by SIMCA. Consequently, the SyF spectroscopy combined with chemometrics is very advantageous methodology in terms of speed and cost, and it provides a great convenience by eliminating the laborious sample pre-treatments and chemical usage.

Keywords

Fluorescence spectroscopy, Chemometrics, Virgin olive oil, Adulteration

Supporting Institution

The study is financially supported by the Scientific Research Project Center of KMU with a project number 23–YL–20.

Project Number

23–YL–20

Thanks

The authors wish to acknowledge the Scientific Research Project Center of KMU due to their financial support. The study and a part of master thesis titled ''Development of Simple and Rapid Synchronous Fluorescence Spectroscopy Methods based on Chemometric Data Analysis Approach for the Classification and Adulteration of Olive Oils in Mut (Mersin) Region''.

Kemometrik Veri Analiz Yaklaşımına Dayalı Senkron Floresans Spektroskopi Yöntemi: Mut (Mersin) Yöresi Zeytinyağları ve Rafine Yenilebilir Yağlarda Tağşiş Tespiti

Abstract

Bu çalışma, Mut (Mersin) bölgesinden iki farklı hasat döneminde (2019 ve 2020 Ekim) elde edilen ekstra saf sızma zeytinyağı (VOO) ve farklı markalara ait rafine yemeklik yağ numunelerinde tağşiş/sahtecilik durumu hakkında fikir edinmeyi amaçlamaktadır. Araştırmayı gerçekleştirmek için senkron floresans (SyF) spektroskopisine dayalı analitik yaklaşım, PCA ve SIMCA kemometrik veri analiz yöntemi ile kullanılmıştır. SyF verileri 200–800 nm emisyon bölgesinde elde edilmiş ve uyarma/emisyon monokromatörleri senkronize şekilde kullanılmıştır. Saf VOO ve farklı türdeki yağ numuneleri için elde edilen veriler; PCA ve SIMCA çok değişkenli veri modellemeleri ile analiz edilmiştir. Elde edilen PCA skor grafiklerinde; yağ türlerinin ve farklı hasat zamanlarına ait zeytinyağı örneklerinin sınıflandırma yeteneğinin oldukça yüksek olduğu; SIMCA modellemelerinde ise VOO numunelerinin diğer yağ türlerinden %100 farklı bir grupta sınıflandırılabildiği tespit edilmiştir. Sonuç olarak SyF spektroskopisi kemometrik analiz yöntemleri ile birleştirildiğinde hız ve maliyet açısından oldukça avantajlı bir yöntem olup, zahmetli numune ön işlemleri ve kimyasal kullanımını ortadan kaldırarak büyük kolaylık sağlamaktadır.

Keywords

Floresans spektroskopi, Kemometri, Zeytinyağı, Tağşiş.

Supporting Institution

The study is financially supported by the Scientific Research Project Center of KMU with a project number 23–YL–20.

Project Number

23–YL–20

Thanks

The authors wish to acknowledge the Scientific Research Project Center of KMU due to their financial support. The study and a part of master thesis titled ''Development of Simple and Rapid Synchronous Fluorescence Spectroscopy Methods based on Chemometric Data Analysis Approach for the Classification and Adulteration of Olive Oils in Mut (Mersin) Region''.

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