INSIGHTS on Food and Beverage Screening

INSIGHTS on Food and Beverage Screening

To feed the world safe and consistent foods and beverages, companies need increasingly fast ways to screen products from start to finish.

Written byMike May, PhD
| 6 min read
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Beyond speed, these technologies must be accurate and versatile

As Khalil Divan, senior director of food and beverage at Thermo Fisher Scientific in Waltham, Massachusetts, says, “Changes being implemented by regulatory agencies are making high-throughput analysis quite prevalent.” For example, the U.S. Food and Drug Administration (FDA) oversees the Food Safety Modernization Act, which the FDA website describes as “the most sweeping reform of our food safety laws in more than 70 years, [and it] aims to ensure the U.S. food supply is safe by shifting the focus from responding to contamination to preventing it.” To keep up with the required throughput, the technology must analyze samples fast, and it must work with samples at various stages.

The need for high-throughput screening often starts with raw ingredients, which is the first step for some companies in the food and beverage industry. “When the food industry buys raw ingredients, they want to make sure that it’s the right product—not contaminated, not adulterated,” Divan says. “Companies want to test the ingredients very quickly to not hold up the process. So high-throughput and fast analyses are very important at the initial stage of the process.”

The testing of foods, though, goes on throughout the process. “Plants are producing thousands of products every day, and as the products are being developed they want to make sure everything is going according to the protocol,” Divan explains. “So they do spot [tests on] samples during the process.” These analyses must also be performed quickly, because the production line can’t slow down to wait for results from the quality control department.

Meeting the demand

To test a higher number of samples or to test samples at more points during processing, companies need faster forms of analysis, but speed is not the only factor. “The current technology that people have needs to be updated and also capable of doing fast analyses with ultra-precision and reproducibility,” Divan explains.

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