| Abstrakt: |
Effective plant disease management calls for a rapid, precise, and a convenient field-deployable method for early diagnosis of phytopathogens, especially in cases where visual symptom-based treatment is unreliable. Current molecular diagnosis strategies involve techniques such as enzyme‐linked immunosorbent assays, polymerase chain reaction, and genome sequencing. However, these methods often demand sophisticated and expensive instruments, aseptic settings, and experienced personnel which make them highly inconvenient for extensive on-site application. The groundbreaking CRISPR technology in disease diagnostics has emerged as a promising solution to address these challenges by providing high specificity, selectivity, and a low detection limit. Moreover, the ability to detect targets in situ can further be enhanced by employing a combination of CRISPR-Cas-based detection with various signal-sensing techniques and integrating the resulting system into smart devices. This article explores the potential of CRISPR-based disease diagnosis methods as point-of-care diagnostics for plant diseases, and highlights some significant challenges that these methods may face during practical in-field applications. [ABSTRACT FROM AUTHOR] |
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