Rapid and semi-quantitative colorimetric loop-mediated isothermal amplification detection of ASFV via HSV color model transformation

Background: African Swine Fever (ASF) is a highly contagious and lethal viral disease of swine, the presence of which in groups of pigs leads to enormous economic losses in the farming industry. However, vaccines and drugs to treat ASF have yet to be developed. To control the spread of the African Swine Fever Virus (ASFV), a diagnostic method that can be applied rapidly and can detect the disease during the early stages of infection is urgently needed. Methods: In this study, we demonstrate a rapid and easy-to-use ASFV detection method that combines loop-mediated isothermal amplification (LAMP) and image processing with the hue-saturation-value (HSV) color model. This method was validated through use of synthetic ASFV DNA. Results: The method shows high sensitivity, as it detects as few as 10 copies per reaction within 20 min. The speed and sensitivity of this newly developed assay are superior to those reported in previous studies. In addition, through HSV color space transformation, the colorimetric result of this LAMP assay can be used for a semi-quantitative analysis for ASFV (ranging from 10(8) to 10(1) copies per reaction) and improve the discern to low concentration samples from a negative control. Conclusion: These results show that the combination of ASFV-LAMP assay and HSV color space transformation may accelerate the screening process of pigs for ASFV infection. Overall, this study provides a rapid, sensitive, early-stage, on-site diagnosis of ASFV infection and has potential to be applied to other infectious diseases. Copyright (C) 2021, Taiwan Society of Microbiology. Published by Elsevier Taiwan LLC.

Automated summary

This study presents a rapid and sensitive ASFV detection method using a combination of LAMP technology and HSV color model. The method can detect as few as 10 copies of ASFV DNA within 20 minutes, showing superior speed and sensitivity compared to previous studies. Through HSV color space transformation, a semi-quantitative analysis can be performed to distinguish low concentration samples from negative controls.