This work (purchase required, USD$35.95) presents an algorithm to transform the LC-MS spectra of one instrument, to make it appear as though it came from another instrument. This allows a machine learning model trained on one set of samples using one LC-MS platform to classify new honey samples on a different LC-MS platform. The authors used a non-targeted honey botanical origin database as a proof of…

This pilot study (open access) used octopus as a proof-of-concept in the use of portable NIR, backed by a chemometric database and decision logic, to detect undeclared prior freezing of “fresh” seafood.  Existing methods, such as microscope examination or using enzyme thresholds, are often inconclusive and…

In this study, (open access) an extraction-free loop-mediated isothermal amplification (LAMP) assay with a visual colorimetric readout was developed for rapid and on-site identification of pork. The reaction conditions were first optimized using purified DNA to minimize matrix interference, during which a COI-targeting primer set was selected and analytical sensitivity determined.

 For direct tissue…

The Food and Agriculture Organization of the United Nations (FAO) has highlighted a new review published in npj Science of Food examining how artificial intelligence (AI) is being applied across food safety.

Based on a systematic review of more than 150 peer-reviewed studies, the paper identifies food…