The assessment of food authenticity is a topic that gained a lot of interest at the international level. This term includes misidentification of variety, origin, production system, processing but also adulteration. These frauds all have an analytical component, and research tends to offer new analytical solutions to manage them. One of them is non-targeted approaches, which get around the limitations of targeted analysis by detecting the unexpected. A wide range of products are studied such as wine, rice, olive oil, spices, and honey among the top five. Geographic origin is by far the fraud with the most attention. The main reason is probably the complexity to consider terroir effect and every other variable to determine an area of production. This review offers an overview of the potential of non-targeted analysis to assess food authenticity. These results also illustrate the capability to look for environmental terroir markers that could be cross-matrixes.
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http://dx.doi.org/10.1016/j.foodchem.2022.133856 | DOI Listing |
Int J Biol Macromol
December 2024
Nanomaterial research laboratory (NMRL), Smart Materials And Devices, Yenepoya Research Centre, Yenepoya (Deemed to be university), Deralakatte, Mangalore 575 018, India; Centre for Nutrition Studies, Yenepoya (Deemed to be University), Deralakatte, Mangalore 575 018, India. Electronic address:
The food and pharmaceutical sectors frequently utilize vanillin (VAN), a food ingredient with a pleasing flavor and aroma. However, excessive consumption of VAN causes several health problems, including liver and kidney damage, headaches, skin conditions, nausea, and vomiting. To prevent health problems, it is crucial to identify and control the amount of VAN in food and drugs.
View Article and Find Full Text PDFFront Microbiol
December 2024
Institute of Medical Microbiology and Hygiene, Austrian Agency for Health and Food Safety, Vienna, Austria.
Introduction: is a widespread acid-lactic bacterium found in the environment, humans, and animal microbiota, and it also plays a role in the production of traditional food. However, the worldwide emergence of multidrug-resistant strains represents a major public health threat and is the primary reason that the genus is not recommended for the Qualified Presumption of Safety (QPS) list of the European Food Safety Authority (EFSA), raising concerns about its presence in food products.
Methods: In this study, 39 and 5 isolates were obtained from artisanal brine cheeses and dry sausages, sourced from 21 different Montenegrin producers.
J Proteomics
December 2024
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 PDFHeliyon
December 2024
Department of Tourism Management, Cape Coast Technical University, Ghana.
The increasing interest in unique and authentic travel experiences has contributed to the growth of culinary tourism within the tourism industry. The study uses the cultural exchange theory to explain the important role of culinary experiences and development of culinary tourism. This study seeks to explore how local cuisines could be promoted as part of the tourism offerings of Cape Coast to boost tourism and local economic development.
View Article and Find Full Text PDFFood Chem
December 2024
Leibniz Institute for Food Systems Biology at the Technical University of Munich, Lise-Meitner-Str. 34, 85354 Freising, Germany. Electronic address:
Roasting degrades the coffee compound mozambioside (1) into several products, including 17-O-β-D-glucosyl-11-hydroxycafestol-2-one (2), 11-O-β-D-glucosyl-16-desoxycafestol-2-one (3), 11-O-β-D-glucosyl-(S)-16-desoxy-17-oxocafestol-2-one (4), 11-O-β-D-glucosyl-15,16-dehydrocafestol-2-one (5), 11-O-β-D-glucosyl-(R)-16-desoxy-17-oxocafestol-2-one (6), bengalensol (7), and 11-hydroxycafestol-2-one (8). A UHPLC-MS/MS method was established to quantify 1-8 and monitor their formation during authentic coffee roasting. Concentrations of 1 and the dominant roasting products 4, 5, and 7 ranged from 21.
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