EVALUATION OF UNCERTAINTY IN THE CALIBRATION OF ANALYTICAL BALANCES BASED ON MATHEMATICAL MODELING

To develop a mathematical model for the calibration of analytical balances, the MA204/A model of analytical balance manufactured by Mettler-Toledo was selected. The application of the modeling method enabled the identification of uncertainty sources affecting the calibration process, as well as their reduction.The results of the study showed that the primary sources of uncertainty affecting the MA204/A analytical balance are the off-center loading (eccentricity error) and the drift of the reference weights. Furthermore, it was established that reducing the dominant sources by 30–50% can decrease the overall uncertainty by 25–40%, which represents a practically significant outcome. These findings further substantiate the practical applicability of the modeling results and confirm their reliability. Based on the conducted research, a set of practical recommendations for reducing uncertainty in the calibration process of analytical balances was developed, along with proposals for their implementation in practice.