The analytical laboratory for Food Authenticity, Safety and Quality (FASQ) included advanced Perkin Elmer FT-IR with NIRA (Near Infrared Reflectance Accessory) for Near Infrared (NIR) analysis, ICP-MS/ICP-OES/TQ-ICP-MS for multielement analysis, and IRMS for stable isotope estimation. NIR can be applied to solid and liquid samples with high accuracy to obtain detailed qualitative and quantitative information about the composition of food. ICP systems outfitted with OES and MS detectors can analyse solid and liquid samples to give detailed geochemical information about 43 nutritional, toxic & potentially toxic elements. TQ-ICP-MS in addition provides a composition of rare-earths, trace and ultra-trace elements, instrumental for food safety and food traceability. IRMS for stable isotope can successfully estimate δ13C and δ15N values for food and soil samples with a high degree of accuracy. We also have dedicated personnel to handle the instruments and the laboratory comes equipped with instruments needed for general pre-processing of food samples (lyophiliser, pulveriser, cold storage, etc.) and for mineral digestion. Apart from analytical expertise in running the instruments, our team provides experienced input about the experimental set-up (defined by the requirements and information provided by the user), method standardization for all analytical measurements, data cleaning, data processing and chemometric interpretation of results using traditional univariate and multivariate techniques, and Machine learning (Python and R). The FASQ laboratory at UNINA offers a comprehensive study of food composition aided by NIR spectra, geochemical composition, and stable isotope ratios. These are the three of the most established, cost-efficient and reliable methods of food traceability. We have developed traceability models for PGI lemons, PDO tomatoes (TOMATO TRACE 4.0), PDO asparagus and istacia (FIRMA), and South Italian early potatos using three techniques. Currently, we’re working on the authentication of Mediterranean fish under the Surefish Prima Project wherein all three analytical techniques will be used to create individual authentication models for fish using >350 fish samples over a course of 1.5 years.