A blockchain-driven IoT-based food quality traceability system for dairy products using a deep learning model

Posted on January 23, 2024 By LabLynx Journal articles

In this 2023 paper published in the journal High-Confidence Computing, Manisha and Jagadeeshwar present their custom food quality traceability system, which combines various tools like blockchain, internet of things (IoT) mechanisms, and deep learning architecture for improving traceability about perishable food supply chains (PFSCs). Noting previous works that incorporated some but not all of these elements, each with their own downsides, the authors chose a system model that incorporates blockchain-enabled RFID scans that, upon verification, get added to the overall secure ledger, along with associated IoT-base metadata from sensors gauging humidity and temperature. The duo turns to milk manufacturing and distribution in their case study, applied to their blockchain-enabled deep residual network (BC-DRN) methodology. After examining and comparing their results to other prevalent methodologies used in supply chain management (SCM). The authors conclude that their BC-DRN traceability system, when gauged on metrics like sensitivity, response time, and testing accuracy, beat out other methods. They add "the performance of the devised scheme can be improved by considering better feature extraction techniques. "

Effect of good clinical laboratory practices (GCLP) quality training on knowledge, attitude, and practice among laboratory professionals: Quasi-experimental study

Posted on January 16, 2024 By LabLynx Journal articles

In this brief 2023 article published in Journal of Clinical and Diagnostic Research, Patel et al. provide the results of their survey-based analysis of laboratorians' knowledge, attitude, and practice (KAP) towards laboratory quality through good clinical laboratory practice (GCLP) training. Noting the "ethical obligation to provide accurate and precise results that are cost- and time-effective," the authors state that it's imperative for clinical laboratory personnel to adhere to quality planning and system implementation, while also possessing an understanding of quality management principles as they apply to the lab. The authors describe their survey format and present the results of their survey, concluding that while no statistically significant differences could be found towards staff attitudes towards quality in the lab after GCLP training, laboratorians in their survey acknowledged the benefits of GCLP guidelines and accreditation, as well as the importance of training on such matters. "Such training and assessments would also aid in evaluating the performance of laboratory staff, contributing to improved learning, execution of GLPs, and consistent patient care services."