The digital Quality Infrastructure (QI) offers significant potential to enhance the technical excellence and efficiency of laboratory operations. By leveraging tools and processes of a digital QI, laboratories, their customers, authorities, and other stakeholders can enhance efficiency, foster trust, and generate added value. This paper introduces the digital QI toolset and ecosystem as developed in the German initiative QI-Digital, and explores concrete scenarios for their implementation in laboratories. Successful rollout not only requires technical development but also intense stakeholder engagement. Consequently, this paper shares insights and outcomes from a structured stakeholder dialogue with the laboratory community, and outlines the establishment of the 'digital LabHub' as a pivotal step to drive digital transformation and facilitate the widespread adoption of digital QI within laboratories and their broader ecosystem.

With the deep integration of artificial intelligence and big data technology, the self-learning ability of the system brings efficiency improvement, but problems such as data pollution, algorithm black box, and model drift exacerbate the difficulty of tracing. This article proposes a three-layer traceability framework (TVB-Trace) that integrates blockchain metadata anchoring, dynamic verification mechanism, and trusted execution environment. By constructing a verifiable data lineage graph and algorithm decision chain throughout the entire lifecycle, it achieves transparent supervision of AI self-learning systems. Experiments have shown that this framework can improve data traceability accuracy to 99.2% and enhance model decision interpretability by over 40%. (Keywords: artificial intelligence traceability, blockchain, trusted computing, self-learning system).

The risks of making decisions on conformity assessment are analyzed using the example of rebar from a large Uzbek manufacturer and a small business. An interlaboratory comparison was organized using the capabilities of an accredited proficiency testing provider for the following indicators: cross-sectional area, yield strength and tensile strength of rebar (GOST 12004). The indicators are measured by a fixed value of steel density - 7850 kg/m³. An analysis of the risks of using the measured and fixed value of rebar density for these indicators is carried out. An improvement of the measurement method, an analysis of the contributions to measurement uncertainty and the value of scatter are proposed. Further prospects for the development of certified reference material for the above indicators are also proposed.

This study explores approaches to investigate archaeological glass artifacts and discuss the merits of a multi-scale approach integrating macroscopic characteristics with microanalysis to shed light into the routes of glass exchange in the past populations and on glass production techniques. Two case studies from southern Ukraine are considered: Hellenistic core-formed vessels from Olbia Pontica (5th c. BCE – 1st centuries CE) and Scythian beads from Khortytsia (5th-4th centuries BCE). SEM-EDS analysis of the Olbia glass led a preliminary classification into Types II and III, linked to Syro-Palestinian and Egyptian productions. The Khortytsia beads underwent in-depth analysis using LA-ICP-MS, XRD, and FORS, allowing a more detailed classification based on trace elements, as well as identification of opacifiers and colorants. The beads were divided into two groups according to TiO₂ and CaO concentrations, aligning with Iron Age production centres of glass in Egypt and the Levant.

Single-use microwavable containers are commonly employed to package food products because they are perceived as convenient, durable, and safe. In this study, a modification of 21 CFR Part 177 validated by Alejandro et al. to profile low-density polyethylene (LDPE) bags was used to assess rigid microwavable polypropylene (PP) food packaging. A Welch two-sample t-test between LDPE and PP samples (n=15) yielded tstat = 0, and p (1.00) > 0.05, confirming method robustness. Spectral scanning of 21 brands of Philippine-based microwavable PP containers resulted in a range of 0.008-0.199 AU, indicating large variability. Of the samples analyzed, 23.8% were above the 0.1 AU maximum allowable limit set by the FDA Philippines, implying possible chemical migration upon contact with high-fat, low-moisture food products typically sold in local eateries and quick-service restaurants. Further investigations include migration studies at non-ambient conditions and to other food simulants, and targeted and quantitative analyses.