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CRISPR-ASSISTED RAPID, ULTRASENSITIVE AND HIGH-THROUGHPUT NANOSTRESS SENSING FOR AVOCADO SUNBLOTCH VIROID DISEASE SCREENING

Objective

This research proposes the development of a novel High-throughput CRISPR-assisted Nanostress Sensing (HCANS) system for the efficient and large-scale surveillance of Avocado Sunblotch Viroid Disease (ASBVd) in California's avocado production sector. This integrated platform leverages cutting-edge technologies: (i) ultra-sensitive and low-interference Surface-Enhanced Raman Spectroscopy (SERS) nanostress sensing, (ii) rapid and highly-specific CRISPR technology for targeted viroid identification, and (iii) high-throughput microfluidics for automated sample processing and analysis. This innovative system will enable the rapid and simultaneous detection of ASBVd across multiple tree samples within minutes, significantly enhancing current surveillance capabilities. The long-term vision is to develop a fully-automated and intelligent HCANS platform capable of multiplexed viral disease detection across various plant and animal species. The successful development of HCANS will not only mitigate the substantial threat ASBVd poses to the California avocado industry but also contribute to the broader protection of the nation's agricultural and food supply sectors.

Investigators
Yan, R.; Du, KE, .
Institution
The Regents of University of California
Start date
2024
End date
2026
Project number
CALW-2023-10379
Accession number
1032501