The article aims to consider in detail the principles and requirements for impartiality, its components, and the status of implementation of these requirements in the current state of conformity assessment in Ukraine for different types of conformity assessment bodies (CABs); involved in food safety management system; compliance with the requirements of impartiality in terms of managing the risks associated with impartiality. The article uses methods of theoretical, empirical-theoretical, and empirical research, including analysis of documentation. Expert assessments were used to determine the significance of individual elements. The importance of impartiality in the activities of CABs is substantiated and demonstrated. Received a list of mandatory and recommended impartiality requirements for the  requirements of the received standards and identified factors that threaten impartiality. Practical recommendations for documenting the process of impartiality management developed. The article analyzed the completeness and sufficiency of possible documented evidence, identified the risks of impartiality, and developed a set of preventive measures to minimize the identified risks. The authors developed a methodology for managing impartiality, which combines the experience and experience of CABs in various fields. The research results allow the CAB to carry out and document lending sector activities following the standard's requirements.

The object of this study is the assessment of total uncertainty during calibration in terms of assessing the component due to the competence of the personnel. The problems addressed here related to the lack of regulatorily-defined decision criteria regarding the materiality of the impact of the study component; improvement of existing statistics that would minimize errors of the first and second kinds to make a decision on the impact of personnel competence on uncertainty during calibration. A brief interpretation of the results obtained regarding errors of the first and second kinds and insufficient power of En, the statistics, which are most often used by calibration laboratories, alternative statistics are explained by violation of the conditions of their use. The proposed method based on the modified En-statistics shows the power of more than 95 % and the absence of parcels of the first and second kinds. This is due to the developed modification, which makes it possible to take into consideration the maximum permissible uncertainty. The peculiarity is the flexibility of the formula since the maximum permissible uncertainty is chosen according to metrological rules for the selection of standards. It differs for various measuring instruments; a specialist can be allowed to calibrate a less accurate measuring equipment tools and is not allowed to have high-precision ones. The scope of use of the obtained results can be certified calibration laboratories. This procedure will make it possible to obtain reliable data to devise internal methods for assessing uncertainty during calibration. The conditions for the practical use of the proposed method of assessing the impact of personnel based on the modified En-statistics in calibration laboratories are the presence of calibration methods that largely depend on the competence of the personnel, such as measurement of linear and mechanical quantities

Most of the quality indicators regulated by the standard for seed potato certification are determined by the subjective component, that is, the competence of the personnel. However, the regulatory framework does not establish criteria for assessing competence, which poses uncontrolled risks in the laboratory. The purpose of the study is to develop and investigate the methodology for assessing the competence of laboratory personnel involved in the testing of seed potatoes and determine the extent of application of the methodology. The methods of probability theory and mathematical statistics are used for the tasks of selection and research of statistical criteria that correspond to the law of distribution of the obtained data and provide the necessary reliability for the available sample volumes. The statistics and the method of determining the threshold value, which mathematically describes the decision-making on competence, are provided for the binomial distribution law. The properties of the proposed statistical method for assessing the competence of personnel in terms of finding the maximum differences in the results of the analysis, at which the personnel are recognised as competent, are investigated. The study demonstrates the dependence of the method capacity on the data volume. It is determined that to obtain a confidence probability of 0.95 for quality indicators, the content of which in the average sample according to the technical conditions is minimal, the sample size should be 600-1000 tubers. At the same time, up to 100 tubers are sufficient for indicators whose content is under 5%. The method proposed by the authors showed that the average sample of 250 tubers recommended by the standard is entirely justified in terms of attracting resources during certification but must be adjusted during competence monitoring in a testing laboratory that confirms its competence by the requirements of DSTU ISO IEC 17025:2019. The findings presented can be used by the personnel in the seed testing laboratories as a measure to minimise the risks caused by the impact of personnel incompetence

The evaluation of the measurement uncertainty of the seed quality indicators is an integral part of testing in accredited testing laboratories. The thousand-seed weight is one of the essential indicators, the limit values of which are not standardized, but are taken into account when determining the cost of a lot of seeds or seeding rates. The developed method for evaluating the measurement uncertainty of the thousand-seed weight by measuring two weights of 500 seeds is presented in the paper. According to the analysis of a basic calculation formula, the impact of correctness and accuracy on the measurement uncertainty was assessed. It was shown that the major measurement uncertainty components are uncertainties of weighting and repeatability. The repeatability is advisable to be evaluated by Type В using the limit of repeatability, if the national standard specifies the testing method. The authors have analysed the conditions when other components can be neglected. The uncertainty budget and an example of its calculation were received.