[目的]利用Soleris微生物快速检测系统,以大肠菌群传统国标平板计数法的检测结果为校正数据集,优化微生物快速检测方法在冷冻饮品大肠菌群检测中的前处理步骤,并建立大肠菌群回归校正曲线,为冷冻饮品微生物检测提供高效技术支撑。[方法]首先优化并统一含乳与不含乳冷冻饮品的前处理流程：将25 g融化混匀后的样品置于225 mL无菌稀释液中,必要时调节pH值至6.7±0.2;随后采用Soleris微生物快速检测系统与传统国标平板计数法（GB 4789.3—2016）同步检测冷冻饮品中的大肠菌群,通过对比两种方法的检测结果验证Soleris系统的适用性。[结果]Soleris微生物快速检测系统对30 个不同污染水平的样品检出率达100%,无假阳性与假阴性结果;检测结果回归校正曲线为y=-0.405 3x+6.061 9（R²=0.869 6）,表明Soleris检出时间与大肠菌群数量呈显著负相关;重复性验证显示组内最大相对标准偏差仅为3.4%,系统稳定性良好。[结论]优化后的Soleris微生物快速检测系统在维持“阳性预警时间与目标微生物数量负相关”特性的基础上,大幅缩短了检测周期（预警时间7.2~11.9 h）,有效减少检测工作量、提升检测效率,可满足冷冻饮品生产过程中快速质量控制的需求。

[Objective] This study aimed to optimize the pretreatment steps of the microbiological rapid detection method for coliforms in frozen desserts using the Soleris microbiological rapid detection system,with the results of the traditional national standard plate counting method for coliforms as the calibration dataset,and to establish a regression calibration curve for coliforms,providing efficient technical support for microbiological detection of frozen desserts.[Method] First,the pretreatment processes for dairy-containing and non-dairy frozen desserts were optimized and unified: 25 g of melted and mixed samples were placed in 225 mL of sterile diluent,and the pH was adjusted to 6.7±0.2 if necessary.Then,the Soleris microbiological rapid detection system and the traditional national standard plate counting method （GB 4789.3—2016） were used to simultaneously detect coliforms in frozen desserts,and the applicability of the Soleris system was verified by comparing the detection results of the two methods.[Result] The detection rate of the Soleris microbiological rapid detection system for 30 samples with different pollution levels reached 100%,with no false positive or false negative results. The regression calibration curve of the detection results was y=-0.405 3x+6.061 9 （R²=0.869 6）,indicating a significant negative correlation between the Soleris detection time and the number of coliforms. Repeatability verification showed that the maximum intra-group relative standard deviation was only 3.4%,indicating good system stability.[Conclusion] On the basis of maintaining the characteristic of "negative correlation between positive warning time and the number of target microorganisms",the optimized Soleris microbiological rapid detection system significantly shortens the detection cycle （warning time 7.2~11.9 h）,effectively reduces the detection workload and improves the detection efficiency,which can meet the needs of rapid quality control in the production process of frozen desserts.