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Oct 12, 2017 | Blogs, Food / Beverage | 0 comments
Did you know that the Food and Agricultural Organization of the United Nations (FAO), celebrates its founding each year on October 16 with World Food Day? You can explore their theme and commitment to ending hunger by 2030 here. As part of their, “Ten Facts You Need to Know about Hunger,” perhaps you may find it interesting that, “The world will need to grow 60 percent more food by 2050 to feed the growing population.”
To meet these goals, and in addition to the investments the FAO calls for, today’s researchers are tasked with analyzing food samples for integrity, authenticity, and safety. They must do it fast and with the utmost accuracy. It’s not uncommon, for example, to hear about the overzealous application of pesticides to crops. Alternatively, the injection of antibiotics into animals. In China, Melamine was found in milk. Horse meat found its way into ground beef. The list goes on. As scientists, not only do we wish for hunger to end, but to ensure food supplies are safe.
Therefore, to honor the FAOs commitment to ending hunger and promoting its safety we give you a recap of past food blogs. Hunger isn’t just a government problem, it’s a human problem, and after all, scientists are human.
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In the field of food chemistry and health, Prof. Nils Helge Schebb and his team at the University of Wuppertal are at the forefront of applying cutting-edge analytical methods to investigate how dietary components affect inflammation and chronic disease. Their work focuses on lipid mediators, particularly oxylipins, and how these molecules can be precisely measured and interpreted using liquid chromatography-tandem mass spectrometry (LC-MS).
Investing in a new liquid chromatography-mass spectrometry (LC-MS) system is a big decision, especially when your lab handles a wide variety of analytical tasks. With so many options out there, it’s easy to feel overwhelmed.
Useful FAQ document to enable researchers to focus on their scientific discoveries and insights rather than the complexities of data management.
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