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Prediction of frozen virus stability based on degradation mechanisms, real-time data and modeling: Supplementary tables

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NIAID Data Ecosystem2026-03-14 收录
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https://figshare.com/articles/dataset/Prediction_of_frozen_virus_stability_based_on_degradation_mechanisms_real-time_data_and_modeling_Supplementary_tables/21387447
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资源简介:
Aim: Critical virus reagents in regulated bioanalytical assays require stability monitoring. Although stability at ultralow frozen temperatures is generally assumed, published data are limited and realtime studies are time consuming. Materials & methods: The authors reviewed literature data, typical mechanisms of molecular degradation, glass transition temperatures of commonly used buffers and available real-time storage data to model frozen virus reagent stability. Results: Storage at ultralow temperatures below the glass transition temperature was critical for virus stability. Modeling of real-time data suggested that virus potency remained within 0.5 log10 of its starting potency at a probability of >99, 90 and 73% after 10, 20 and 30 years, respectively. Conclusion: The study supports the practice of virus storage at -70◦C or below for 20–30 years.
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2022-10-24
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