Title: Parametrization of microbial survival models under UVC exposure Show Chinese title

Title: UVC照射下微生物存活模型的参数化

Abstract: This study aims to identify and parameterize the optimal survival curves for 33 fundamental microorganisms subject to UVC exposure through experimental measurements. We compile published data on UVC doses and corresponding survival fractions for these microorganisms to estimate parameters for four prominent survival models: Single-target (ST), Multi-target (MT), Linear Quadratic (LQ), and Two-Stage Decay (TSD). The best-fitting model for each microorganism is determined by selecting the one with the lowest mean squared error (MSE) compared to the experimental data. Our analysis indicates that the MT model is the most frequently appropriate, accurately fitting 21 of the 33 microorganisms. The TSD model is the best fit for only three, while the LQ model, though occasionally suitable at lower doses, is often excluded due to unreliable performance at higher doses. The assessed models, particularly the MT model, demonstrate strong predictive capabilities for UVC surface sterilization of microorganisms. However, caution is warranted with the LQ model at higher doses due to its potential limitations. Show Chinese abstract

Abstract: 本研究旨在通过实验测量确定并参数化暴露于紫外线C（UVC）辐射下的 33 种基本微生物的最佳生存曲线。我们汇编了关于这些微生物的紫外线C剂量和相应生存分数的已发表数据，以估算四种主要生存模型的参数：单靶点（ST）、多靶点（MT）、线性二次（LQ）和两阶段衰减（TSD）。每种微生物的最佳拟合模型通过选择与实验数据相比均方误差（MSE）最低的那个来确定。我们的分析表明，多靶点（MT）模型是最常适用的，准确拟合了 33 种微生物中的 21 种。两阶段衰减（TSD）模型仅适用于三种微生物，而线性二次（LQ）模型虽然在较低剂量下偶尔合适，但由于在较高剂量下性能不可靠，通常被排除在外。评估的模型，特别是多靶点（MT）模型，对微生物的紫外线C表面灭菌表现出强大的预测能力。然而，在较高剂量下使用线性二次（LQ）模型时需谨慎，因为可能存在潜在限制。