New data-enhanced instrumentation technologies will improve the accuracy of the results, in line with stringent regulatory requirements, finds Frost & Sullivan
SAN ANTONIO, Sept. 30, 2021 /PRNewswire/ -- A range of trends, including rapid population and economic growth, globalization, and urbanization, is driving the demand for food and other goods and services. This demand, in turn, is placing unprecedented pressure on producers to increase production and reduce cycle times. In an environment of enhanced safety consciousness, supply chain stakeholders must adhere closely to all regulations and obtain the required certifications. A sustainable way for stakeholders to resolve these challenges is to adopt next-gen product and sample testing solutions that employ emerging technologies such as automation, Internet of Things (IoT), and data analysis.
Frost & Sullivan's latest article, Transformation Strategies for Achieving the Environmental and Food Safety Testing Lab of the Future, analyzes the value that automated testing technologies can bring to brands in an era of remote working. It gives labs a deep understanding of the current market environment and where they need to start on the automation lifecycle.
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"Industry 4.0 technologies seemed like a pipe dream in laboratory testing services, even until 18 months ago. Although forward-looking analytical instrumentation vendors started infusing advanced automation technologies into their instrumentation, testing labs were yet to be convinced of their business case," observed Kiran Unni, Industrial Technologies | Vice President at Frost & Sullivan. "However, with COVID-19 accelerating the digital transformation of businesses, stakeholders all along the supply chain have begun to adopt robotics and sensors to remotely monitor the testing processes and results.
"As we design our next generation of instruments, we are looking to incorporate more sensing technologies to give users a truly digital experience," noted August Specht, VP of R&D for Chromatography and Mass Spectrometry at Thermo Fisher Scientific. "Our solutions will address the customer demand for increased workflow automation through robotics and automated algorithms that can connect the user to the instruments remotely. The testing systems will also meet the need for superior diagnostics, better data access for users all over the world, and remote training for employees and customers."
Overall, testing technologies that simplify remote operations will be pivotal to labs' digital transformation for several reasons:
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