The hazard analysis and critical control points (HACCP) principles, as applied to a food safety management system, help the implementing business identify and procedurally better control a wide variety of identified risks or hazards to food, beverage, and ingredient safety. Food Safety LIMS can improve lab workflows  while enhancing food and beverage safety, quality, and compliance in a number of ways. [Read More]

A period of rapid growth is an exciting time for any laboratory. But it can also expose unexpected challenges that can only be solved by implementing a laboratory information management system (LIMS). If your lab is searching for a LIMS for the first time or you need to upgrade your existing system to one with more flexible and expanded capabilities, there are many variables to think about — cost being one of the most important. Before you decide which solution is best for your lab, let’s examine some of the challenges you are likely facing, the true costs of four LIMS options, and the significant benefits of an all-in-one solution. [Read More]

The most significant drawback to an electronic lab notebook (ELN) is that it lives on a desktop computer and is often far from the lab bench. The risk of data loss or corruption is high when humans must remember to transcribe results correctly. Read this white paper to learn how LabTwin’s accurate, hands-free voice capture functions as your digital lab assistant at the bench. [Read More] 

By consolidating the management of global laboratory operations within a centralized laboratory information management system (LIMS), Bayer CropScience’s regulatory and GxP labs are achieving streamlined compliance and digitalization for one of their most vital divisions. [Read More]

It is impossible to overstate the importance of thoroughly gathering requirements for the success of an implementation project. Although that seems like hyperbole, unfortunately, it is not. When difficulties arise in a lab informatics or enterprise system implementation, it is almost always because of incomplete requirements gathering or a failure to understand the underlying workflows and processes fully. So, how do you ensure that requirements are gathered as thoroughly as possible? This blog post covers the fundamentals. [Read More]

The global toxicology laboratory testing market is booming.  Increasing the efficiency and throughput of testing from order capture to instrument are front-of-mind for any toxicology laboratory. With the volume of forecasted growth in the market looking so strong, enabling your laboratory to move from handling daily volumes in the 100s to the 10,000s on a regular basis, as well as being ready to respond to unplanned peaks, is critical to capitalizing on this market growth.  [Read More]

In the first blog post, we explored the importance of adopting a business approach in laboratory operations. Building on that foundation, we now turn our attention to maximising efficiency, measuring progress, and how a digital solution LIMS helps to achieve these goals. Whichever combination of ‘good’, ‘fast,’ or ‘cheap’  a lab opts to execute, it will make little progress if it lacks ways to reorganise resources to maximise efficiency.  [Read More]

Food and beverage testing labs are at the forefront of ensuring a safer, more reliable food supply. These labs fill an important gap in the larger risk assessment framework that can't supply inspectors for every producer, farm, or import channel. Food safety labs help minimize foodborne illnesses, reinforce economic stability, and give consumers the knowledge to make healthier, safer choices. [Read More]

As discussion of artificial intelligence (AI) continues to ramp up in not only academia but also industry and culture, questions abound concerning it's long-term potential and perils. Attitudes about AI and what it means for humanity are diverse, and sometimes controversial. In this 2023 paper published in Economics and Business Review, Niszczota and Conway contribute to the discussion, particularly in regards to how people view research co-created by generative AI. Recruiting more than 440 individuals, the duo conducted a mixed-design experiment using multiple research processes. All said, their "results suggest that people have clear, strong negative views of scientists delegating any aspect of the research process" to generative AI, denoting it "as immoral, untrustworthy, and scientifically unsound." They conclude that "researchers should employ caution when considering whether to incorporate ChatGPT or other [large language models] into their research."