Optimizing virus inactivation methods for molecular detection techniques: Implications for viral protein and RNA measurements.

To facilitate the development of effective viral detection techniques, a positive control material is required for validating their quantitative performance. Inactivated viruses serve as viable control materials, as they can be handled without the constraints of biohazard safety facilities. However, inactivation alters the structure of viral component molecules, necessitating the selection of inactivation methods that have minimal effects on the target molecules relevant to molecular detection techniques. Only a limited number of studies have investigated inactivation methods to produce viral control materials. Therefore, the aim of this study was to investigate various virus inactivation methods and evaluate their impact on molecular detection techniques, with a specific focus on viral proteins and RNA. We evaluated the effects of ultraviolet (UV) irradiation, heat, beta-propiolactone (BPL), hydrogen peroxide (H2O2), and perchloric acid (HClO4) inactivation methods to identify the most effective technique and its optimal conditions. Enzyme-linked immunosorbent assay (ELISA) and reverse transcription-digital polymerase chain reaction (RT-dPCR) were employed as model assays to assess the effects of these treatments on protein and RNA measurements. Among the evaluated methods, UV and heat treatments demonstrated minimal interference with ELISA, while heat treatment had the least impact on RT-dPCR measurements. Consequently, our findings revealed that heat inactivation holds the potential for producing inactivated viruses that can be effectively used in molecular detection techniques targeting both viral protein and RNA.

Quantitative performance of digital ELISA for the highly sensitive quantification of viral proteins and influenza virus.

A single-molecule assay (SiMoA) using a digital enzyme-linked immunosorbent assay (ELISA) has been attracting attention as a promising method that can detect viruses with ultra-high sensitivity. However, the quantitative application of digital ELISA has not been adequately reported. Therefore, in this study, we first evaluated the linearity and sensitivity of digital ELISA using a Certified Reference Material of C-reactive protein (NMIJ CRM 6201-c) as a quality control material. Next, we originally screened those antibody pair that are suitable for detecting recombinant viral proteins of influenza A virus, nucleoprotein (NP), and hemagglutinin (HA), and established the measurement system. Under optimized conditions, the limit of detection (LOD) of NP and HA was 0.59 fM and 0.99 fM, and the coefficient of determination, R2, was 0.9998 and 0.9979, respectively. Two subtypes of influenza virus, A/Puerto Rico/8/1934 (H1N1) [PR8] and A/Panama/2007/99 (H3N2) [Pan99], were also quantified under established conditions, and the LOD of PR8 was 3.1 × 102 PFU/mL on targeting NP and 7.4 × 102 PFU/mL on targeting HA. The LOD of Pan99 was 5.3 × 102 PFU/mL on targeting NP. The specificity and robustness of the recombinant viral protein and influenza virus measurements using digital ELISA were also evaluated. Our measurement system showed enough specificity to discriminate the viral subtypes properly and showed sufficient inter- and intra-assay variations for both measurements of recombinant viral proteins and viruses, except for NP-targeting virus measurement.