Recent trends in the use of FTIR spectroscopy integrated with chemometrics for the detection of edible oil adulteration

Jamwal, Rahul; Kumari, Shivani; Sharma, Sushma; Kelly, Simon; Cannavan, Andrew; Singh, Dileep Kumar

doi:10.1016/j.vibspec.2021.103222

Cited by 75 publications

(33 citation statements)

References 44 publications

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“…Several authors have previously reported the various advantages of IR spectroscopy, including the cost-efficiency, the reduced time of analysis, and the easy spectral data interpretation. On the other hand, the necessity of using calibration curves and the limitations due to the underlying probabilistic approach, make it less convenient [ 14 , 35 , 36 ]. The potentialities of NMR spectroscopy in quali-quantitative analysis of oils and lipids in general, was formerly disclosed by Lankhorst and Chang [ 37 ].…”

Section: Resultsmentioning

confidence: 99%

A Novel qNMR Application for the Quantification of Vegetable Oils Used as Adulterants in Essential Oils

et al. 2021

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Essential oils (EOs) are more and more frequently adulterated due to their wide usage and large profit, for this reason accurate and precise authentication techniques are essential. This work aims at the application of qNMR as a versatile tool for the quantification of vegetable oils potentially usable as adulterants or diluents in EOs. This approach is based on the quantification of both 1H and 13C glycerol backbone signals, which are actually present in each vegetable oil containing triglycerides. For the validation, binary mixtures of rosemary EO and corn oil (0.8–50%) were prepared. To verify the general feasibility of this technique, other different mixtures including lavender, citronella, orange and peanut, almond, sunflower, and soy seed oils were analyzed. The results showed that the efficacy of this approach does not depend on the specific combination of EO and vegetable oil, ensuring its versatility. The method was able to determine the adulterant, with a mean accuracy of 91.81 and 89.77% for calculations made on 1H and 13C spectra, respectively. The high precision and accuracy here observed, make 1H-qNMR competitive with other well-established techniques. Considering the current importance of quality control of EOs to avoid fraudulent practices, this work can be considered pioneering and promising.

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Section: Resultsmentioning

confidence: 99%

A Novel qNMR Application for the Quantification of Vegetable Oils Used as Adulterants in Essential Oils

et al. 2021

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“…Chemometrics is a discipline that uses mathematical and statistical methods to extract, represent, and display maximum chemical information from a sample. The chemometric analysis involves three main methods: Mathematical pre-treatments; Classification methods; Regression methods (Jamwal et al, 2021).…”

Section: Multivariate Statistical Techniquesmentioning

confidence: 99%

“…The most widely used unsupervised methods are Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA). The supervised methods are mainly used for classification studies and the most widely known methods are Linear Discriminant Analysis (LDA), Soft Independent Modeling by Class Analogy (SIMCA), and Partial Least Squares Discriminant Analysis (PLS-DA) (Zhao and Liu, 2007;Jamwal et al, 2021).…”

Section: Thementioning

confidence: 99%

Fourier transform infrared spectroscopy in monitoring the wine production

Thanasi

Catarino

Ricardo-da-Silva

2022

Ciência Téc. Vitiv.

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The complexity of the wine matrix makes monitoring of the winemaking process from the grapes to the final product crucial for the wine industry. In this context, analytical methodologies that can combine good accuracy, robustness, high sample throughput, “green character”, and by preference real-time analysis, are on-demand to create high-quality vitivinicultural products. In the last years, Fourier-transform Infrared Spectroscopy (FTIR) combined with chemometric analysis has been evaluated in several studies as an effective analytical tool for the wine sector. Some applications of FTIR spectroscopy have been already accepted by the wine industry, mainly for the prediction of basic oenological parameters, using portable and non-portable instruments, but still many others are waiting to be thoroughly developed. This literature review aims to provide a critical synopsis of the most important studies assessing grape and wine quality and authenticity, and to identify possible gaps for further research, meeting the needs of the modern wine industry and the expectations of most demanding consumers. The FTIR studies were grouped according to the main sampling material used - 1) leaves, stems, and berries; 2) grape must and wine applications - along with a summary of the basic limitations and future perspectives of this analytical technique.

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“…Previous works are devoted to study the EVOO for nutritional health purpose, diseases relapses, investigating cultivars and adulteration processes (Camposeo et al ., 2021; Drira et al ., 2021; Tomé‐Rodríguez et al ., 2021; Taiti et al ., 2022) by destructive procedures such as extraction, deuteration and transesterification (Gurdeniz et al ., 2007; Hirri et al ., 2015; Drira et al ., 2021; Mousa et al ., 2021; Stilo et al ., 2021). In this context, spectroscopic techniques combined with computational analyses are the new trend scenario (Mohamed et al ., 2018; Jamwal et al ., 2021; Zaroual et al ., 2021). Fourier‐transform infrared spectroscopy (FTIR), is an excellent tool, followed by multivariate treatment of the spectral data, used to classify vegetable oils according to their botanical origin (Sota‐Uba et al ., 2021) to distinguish EVOO from different geographical origins (Tapp et al ., 2003; Bendini et al ., 2007; Scatigno & Festa, 2021) and different genetic varieties (Sota‐Uba et al ., 2021) or for authentication purposes (Mohamed et al ., 2018; Jamwal et al ., 2021), focused on particular spectral regions of interest (Jiménez‐Carvelo et al ., 2017).…”

Section: Introductionmentioning

confidence: 99%

“…In this context, spectroscopic techniques combined with computational analyses are the new trend scenario (Mohamed et al ., 2018; Jamwal et al ., 2021; Zaroual et al ., 2021). Fourier‐transform infrared spectroscopy (FTIR), is an excellent tool, followed by multivariate treatment of the spectral data, used to classify vegetable oils according to their botanical origin (Sota‐Uba et al ., 2021) to distinguish EVOO from different geographical origins (Tapp et al ., 2003; Bendini et al ., 2007; Scatigno & Festa, 2021) and different genetic varieties (Sota‐Uba et al ., 2021) or for authentication purposes (Mohamed et al ., 2018; Jamwal et al ., 2021), focused on particular spectral regions of interest (Jiménez‐Carvelo et al ., 2017). Regarding the Italian EVOO, fingerprints’ identification is employed procedures such as phenolics extraction and sterols (Brodnjak‐Vončin et al ., 2005; Lerma‐García et al ., 2011).…”

Section: Introductionmentioning

confidence: 99%

FTIR coupled with machine learning to unveil spectroscopic benchmarks in the Italian EVOO

Scatigno

Festa

2022

Int J of Food Sci Tech

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Non-destructive analytical analyses coupled with classification and regression algorithms are promising techniques for monitoring quality, traceability and safety assessment in food industry. To prevent food fraud, Italian Extra Virgin Olive Oil (EVOO) is particularly held in check. Here, attenuated total Reflectance-Fourier Transform Infrared spectroscopy (ATR-FTIR) with Machine Learning is carried out to study an Italian EVOO data set coming from 6 regions to verify the geographical traceability, the cultivar and the repeatability of the agronomical practices, till the adulterated EVOO from soy and corn. The present work is carried out without reagents or esterification processes and considering the entire frequency range without any spectral windows selection, drastically reducing time and costs. Toscana, Lazio, Puglia and Calabria result regions well reproducible in terms of geo-traceability, unlike the Sicilia and Umbria. The model extracts spectral benchmarks in EVOO in the following vibrational modes at 3004, 2952, 2922, 2852, 1742 and 1160 cm -1 .

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Recent trends in the use of FTIR spectroscopy integrated with chemometrics for the detection of edible oil adulteration

Cited by 75 publications

References 44 publications

A Novel qNMR Application for the Quantification of Vegetable Oils Used as Adulterants in Essential Oils

A Novel qNMR Application for the Quantification of Vegetable Oils Used as Adulterants in Essential Oils

Fourier transform infrared spectroscopy in monitoring the wine production

FTIR coupled with machine learning to unveil spectroscopic benchmarks in the Italian EVOO

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