Coupling laser desorption with gas chromatography and ion mobility spectrometry for improved olive oil characterisation

Liedtke, Sascha; Seifert, Luzia; Ahlmann, Norman; Hariharan, Chandrasekhara; Franzke, Joachim; Vautz, Wolfgang

doi:10.1016/j.foodchem.2018.01.193

Cited by 25 publications

(17 citation statements)

References 35 publications

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“…Chromatographic elution of each target compound can be automatically analyzed and the obtained data information is richer because both retention time and drift time information are included [ 18 ]. GC-IMS has been shown to be able to characterize and discriminate adulteration in oil, wines, honey, and meat [ 19 – 23 ]. Successful applications have been reported on the determination of aldehydes in oil, adulteration in extra virgin olive oils by using UV-IMS [ 24 ], and determination of volatile compounds [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis

Chen

et al. 2018

International Journal of Analytical Chemistry

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The aim of the present study was to detect adulteration of canola oil with other vegetable oils such as sunflower, soybean, and peanut oils and to build models for predicting the content of adulterant oil in canola oil. In this work, 147 adulterated samples were detected by gas chromatography-ion mobility spectrometry (GC-IMS) and chemometric analysis, and two methods of feature extraction, histogram of oriented gradient (HOG) and multiway principal component analysis (MPCA), were combined to pretreat the data set. The results evaluated by canonical discriminant analysis (CDA) algorithm indicated that the HOG-MPCA-CDA model was feasible to discriminate the canola oil adulterated with other oils and to precisely classify different levels of each adulterant oil. Partial least square analysis (PLS) was used to build prediction models for adulterant oil level in canola oil. The model built by PLS was proven to be effective and precise for predicting adulteration with good regression (R2>0.95) and low errors (RMSE ≤ 3.23).

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Section: Introductionmentioning

confidence: 99%

Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis

Chen

et al. 2018

International Journal of Analytical Chemistry

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“…Similar to this study, Hamdan et al [79] detected SPO at low concentrations using a different approach, which exploits the dielectric properties of CPO at different temperatures and sludge contamination levels. The applicability of GC-IMS in different areas of food analysis, authentication, adulteration, and safety have been demonstrated in many different studies [84][85][86][87]. The advantages attributed to GC-IMS can be further enhanced if integrated with additional separation technologies such as traditional liquid chromatography (LC) and gas chromatography (GC) mass spectrometry (MS) workflows to identify specific compounds with added confidence, either in a targeted or non-targeted approach.…”

Section: Analytical Methods For Detecting Adulterations In Palm Oilmentioning

confidence: 99%

Sustainable Palm Oil—The Role of Screening and Advanced Analytical Techniques for Geographical Traceability and Authenticity Verification

et al. 2020

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Palm oil production from oil palm (Elaeis guineensis Jacq.) is vital for the economy of Malaysia. As of late, sustainable production of palm oil has been a key focus due to demand by consumer groups, and important progress has been made in establishing standards that promote good agricultural practices that minimize impact on the environment. In line with the industrial goal to build a traceable supply chain, several measures have been implemented to ensure that traceability can be monitored. Although the palm oil supply chain can be highly complex, and achieving full traceability is not an easy task, the industry has to be proactive in developing improved systems that support the existing methods, which rely on recorded information in the supply chain. The Malaysian Palm Oil Board (MPOB) as the custodian of the palm oil industry in Malaysia has taken the initiative to assess and develop technologies that can ensure authenticity and traceability of palm oil in the major supply chains from the point of harvesting all the way to key downstream applications. This review describes the underlying framework related to palm oil geographical traceability using various state-of-the-art analytical techniques, which are also being explored to address adulteration in the global palm oil supply chain.

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“…Their targeted analysis by HS–GC–DTIMS combined with chemometrics has been shown to be an effective strategy to characterize olive oils and distinguish them according to their quality (i.e., extra virgin, virgin and lampante) [49]. As alternative to HS analysis, olive oils samples can be submitted to laser desorption–GC–IMS analysis for the simultaneous characterization of VOCs fraction and detection of semi- and non-volatile compounds (e.g., ( E , Z )-2,4-dodecadiene, 1-dodecene, ( E )-2-hexenal, phenol, ß-pinene, benzaldehyde, acetic acid, limonene, 1-hexanol, nonanal, 1-heptanol, and octanal [54]. In comparison to HS, a higher number of signals were detected when laser desorption was applied to the analysis of oil samples.…”

Section: Applications Of Ims In Food Analysismentioning

confidence: 99%

Ion Mobility Spectrometry in Food Analysis: Principles, Current Applications and Future Trends

et al. 2019

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In the last decade, ion mobility spectrometry (IMS) has reemerged as an analytical separation technique, especially due to the commercialization of ion mobility mass spectrometers. Its applicability has been extended beyond classical applications such as the determination of chemical warfare agents and nowadays it is widely used for the characterization of biomolecules (e.g., proteins, glycans, lipids, etc.) and, more recently, of small molecules (e.g., metabolites, xenobiotics, etc.). Following this trend, the interest in this technique is growing among researchers from different fields including food science. Several advantages are attributed to IMS when integrated in traditional liquid chromatography (LC) and gas chromatography (GC) mass spectrometry (MS) workflows: (1) it improves method selectivity by providing an additional separation dimension that allows the separation of isobaric and isomeric compounds; (2) it increases method sensitivity by isolating the compounds of interest from background noise; (3) and it provides complementary information to mass spectra and retention time, the so-called collision cross section (CCS), so compounds can be identified with more confidence, either in targeted or non-targeted approaches. In this context, the number of applications focused on food analysis has increased exponentially in the last few years. This review provides an overview of the current status of IMS technology and its applicability in different areas of food analysis (i.e., food composition, process control, authentication, adulteration and safety).

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Coupling laser desorption with gas chromatography and ion mobility spectrometry for improved olive oil characterisation

Cited by 25 publications

References 35 publications

Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis

Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis

Sustainable Palm Oil—The Role of Screening and Advanced Analytical Techniques for Geographical Traceability and Authenticity Verification

Ion Mobility Spectrometry in Food Analysis: Principles, Current Applications and Future Trends

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