Abstract:Background Microbial contamination control of drugs, foods, and cosmetics is central to ensuring quality and safety, while the plate count method is currently the most widely used approach for microbial limit testing. However, certain differences still exist between domestic and international standards for plate counting.Objective To clarify the differences in counting rules, error evaluation, rounding and reporting requirements among domestic and international standards for microbial plate counting in the fields of pharmaceuticals, food, and cosmetics, as well as their impacts on test results, so as to furnish scientific, evidence for the standardized implementation of microbial counting rules of the Chinese Pharmacopoeia (2025 Edition) and the improvement of the consistency and comparability of detection data across domestic laboratories.Methods Technical requirements of domestic and international standards were systematically sorted out. A multi-dilution series parallel plate counting model was established with Staphylococcus aureus as the test strain. The error control effects of different standards were evaluated based on indicators including the log-likelihood ratio statistic, inter-plate error rate, and relative standard deviation. The data dispersion performance was compared between the “rounding off” and “rounding up” rules, and the impact ranges of different reporting rules on counting results were verified.Results Significant differences were observed in the limit values for counting error judgment among different standards, resulting in the same plate data being judged as qualified under some standards and unqualified under others. The “rounding off” rule had slightly lower standard deviation (SD=0.34) than the “rounding up” rule (SD=0.41), demonstrating better data dispersion performance. In the scenario of multi-dilution counting, the maximum deviation caused by different reporting rules could reach 9.6%.Conclusion The differences in rules among domestic and international standards for microbial counting can lead to significant deviations in counting results, affecting the accuracy of test results and cross-standard comparability. On the basis of experimental data, it is recommended that statistical verification methods be introduced into the error judgment of microbial counting rules in Chinese pharmaceutical standards, “rounding off” be adopted as the rounding rule, and the weighted calculation logic of reporting rules be optimized. These measures are expected to achieve scientific alignment with international mainstream standards and enhance the consistency of quality supervision and the level of mutual recognition in international trade for related products in China.