Distinguishing oil samples from each other is challenging but it is crucial for ensuring food quality, and for detecting and preventing the possible adulteration of these products. Lipidomic profiling is believed to provide sufficient information to get fit-to-purpose confidence of oil identification as well as to deliver oil-specific lipid features which could be used as targets for routine authenticity testing of camelina, flax, and hemp oil in food control laboratories. Conducted di- and triacylglycerol profiling by LC/Q-TOFMS yielded successful differentiation of the oils. A marker panel consisting of 27 lipids (both DAGs and TAGs) useful for quality verification and authenticity assurance of the oils was established. Moreover, sunflower, rapeseed, and soybean oils were analysed as potential adulterants. We identified 6 lipid markers (DAGs 34:6, 35:2, 40:1, 40:2, 42:2, and TAG 63:1) which can be used for revealing the adulteration of camelina, hemp, and flax seed oils with these oils.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.foodchem.2023.135761 | DOI Listing |
Sensors (Basel)
December 2024
Informatics Laboratory, Agricultural University of Athens, 11855 Athens, Greece.
This study presents a blockchain-based traceability system designed specifically for the olive oil supply chain, addressing key challenges in transparency, quality assurance, and fraud prevention. The system integrates Internet of Things (IoT) technology with a decentralized blockchain framework to provide real-time monitoring of critical quality metrics. A practical web application, linked to the Ethereum blockchain, enables stakeholders to track each stage of the supply chain via tamper-proof records.
View Article and Find Full Text PDFFood Chem
December 2024
Panvascular Diseases Research Center, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou 324000, China; Laboratory of Food Nutrition and Clinical Research, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310012, China. Electronic address:
This study tackled mislabeling fraud in vegetable oils, driven by price disparities and profit motives, by developing an approach combining desorption electrospray ionization mass spectrometry (DESI-MS) with a shallow convolutional neural network (SCNN). The method was designed to characterize lipids and distinguish between nine vegetable oils: corn, soybean, peanut, sesame, rice bran, sunflower, camellia, olive, and walnut oils. The optimized DESI-MS method enhanced the ionization of non-polar glycerides and detected ion adducts like [TG + Na], [TG + NH].
View Article and Find Full Text PDFJ Proteomics
February 2025
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia.
The authenticity of halal meat is a global issue because pork adulteration occurs. Certain religions, such as Islam and Judaism, prohibit the use of pork in food products. The purpose of this study was to evaluate the volume of trypsin with 10, 50 and 100 μL (20 μg/100 μL) and the digestion time from overnight to 30-120 min to establish a fast and straightforward procedure on proteomic analysis for halal authentication of meat and meat products.
View Article and Find Full Text PDFMed Teach
January 2025
Medical Teacher Journal, Dundee, UK.
The widely used SPICES framework focused on curriculum development. The Assessment PROFILE serves a similar purpose for current trends in assessment. A school has to decide where it wishes to lie on each of the continua: a programme-focused approach with decisions based on evidence collected from a number of sources; authentic assessment based on assessment in the 'real world'; outcome-/competency-based assessment; assessment learning; assessment with an impact; learner engagement; and quality assurance and evaluation of the assessment.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!