ABSTRACT
The assembly of modular containers using building information modelling (BIM) technologies was studied. The purpose of this study was to analyse the literature on prefabricated (prefab) houses and explore the concept of creating a digital prototype of a building based on Huoshenshan hospital using Autodesk Revit software. This hospital was constructed to treat Covid-19 patients in early 2020. The article describes the methodology of installing modular containers and assembly structures using BIM technologies for rapid construction. The results of this study showed that building object implementation depends directly on a proper model with a step-by-step mechanism for installation. Due to the supply of prefab structures at the construction site, both initial project cost and project time can be reduced. Prefab house technology demonstrated the high efficiency of using BIM technology in the assembly of Huoshenshan hospital, which was constructed in 10 days. The need for information modelling data exchange with modern technology and systems, which allows the team to become acquainted with the project before installation work starts at the construction site, is investigated.
ABSTRACT
Objective: To develop a sandwich ELISA method for detection of N protein in SARS-CoV-2 inactivated vaccine, and to further validate and primarily apply it for N protein qutification. Methods: The indirect ELISA method was used to assess the affinity of different anti-N protein antibodies by coating the recombinant N protein. Then the sandwich ELISA system was set up by using antibodies rN003 and rN002 as the capture and detection antibody, respectively. Also, the method for fully lysing virus to release all the N protein was confirmed. Validation of linear range, accuracy, precision, intermediate precision, specificity and LLD were obtained, and N protein content in 6 batches of SARS-CoV-2 inactivated vaccine was determined using this method. Results: N protein content has good linearty within the concentration range of 0.018~0.75 μg•mL-1 (R2>0.98), with the recovery of 80%~120% and CV <10%. N protein concentrations for 6 batches of samples accounted for 10%~20% of the total protein. All samples showed a good uniformity. Conclusions: The sandwich ELISA method for detection of N protein in SARS-CoV-2 inactivated vaccine was successfully developed with good linearty, accuracy, precision, intermediate precision, selectivity, and sensitivity, which can satisfy the N protein detection of SARS-CoV-2 inactivated vaccine.