Advancing CRISPR-based biosensors for enhanced surveillance of emerging pathogens
| dc.contributor.author | Kasputis, Thomas Richard | en |
| dc.contributor.committeechair | Chen, Juhong | en |
| dc.contributor.committeemember | Wright, Robert Clay | en |
| dc.contributor.committeemember | Zhang, Chenming | en |
| dc.contributor.committeemember | Ali, Azahar | en |
| dc.contributor.department | Biological Systems Engineering | en |
| dc.date.accessioned | 2026-06-10T08:01:11Z | en |
| dc.date.available | 2026-06-10T08:01:11Z | en |
| dc.date.issued | 2026-06-09 | en |
| dc.description.abstract | Sensitive and specific on-site detection of emerging pathogens is pivotal for improving surveillance of contaminants across agricultural, food, and clinical settings. CRISPR technology offers promising molecular detection in combination with isothermal nucleic acid amplification and novel transduction strategies for facile signal recognition, promising programmable and scalable assays for the rapid and on-site identification of emerging pathogens of concern. This dissertation advances CRISPR-based biosensing technologies for rapidly detecting antimicrobial resistance, bacteria, and viruses in complex matrices. Three unique CRISPR-based assays were developed by combining different CRISPR systems with nucleic acid amplification and innovative nanomaterials for visual detection. First, a CRISPR-Cas12a gold nanoparticle (AuNP) biosensor was developed for the rapid and multiplexed detection of three antimicrobial resistance genes. Second, a graphene-oxide CRISPR-Cas12a system was engineered for the fluorescent detection of bacterial infections for sepsis prevention. Third, a CRISPR-AsCas12f split-G-quadruplex (split-G4) sensor was developed for the rapid and user-friendly on-site detection of norovirus in leafy greens. Lastly, a microfluidic chip is presented for quantitative pathogenic RNA detection utilizing loop-mediated isothermal amplification (LAMP) and passive digitization in a portable device. Collectively, the presented developments highlight the versatility of CRISPR sensing platforms for the next frontier of molecular diagnostics. The technologies established in this thesis demonstrate strong analytical sensitivity, molecular design flexibility, and broad applicability across clinical, agricultural, and food surveillance. | en |
| dc.description.abstractgeneral | Accurate and reliable on-site detection of harmful microorganisms is pivotal for improving surveillance of contamination across agricultural, food, and clinical settings. CRISPR, a specific DNA-targeting system consisting of an enzyme and an RNA, offers promising tools for developing advanced detection strategies for detecting viruses and bacteria outside of laboratory settings. This research focuses on CRISPR-based tools to quickly identify antimicrobial resistance, bacteria, and viruses in complex samples. Three CRISPR-based methods were developed by combining CRISPR with DNA/RNA amplification and innovative strategies for visualizing signal results. The first method combines CRISPR-Cas12a with gold nanoparticles (AuNPs) to initiate a color change, indicating the presence of antimicrobial resistance genes. The second project uses CRISPR-Cas12a with graphene oxide to produce a fluorescent signal indicating the presence of Salmonella in human samples. Third, CRISPR-AsCas12f is used to control a folded DNA sequence capable of inducing a yellow color change for user-friendly on-site detection of norovirus from lettuce and spinach. Lastly, another detection method is presented, utilizing microfluidics to detect countable viral RNA in a portable device. Collectively, these detection systems provide timely, accurate, and reliable detection of emerging pathogens using methods that can be carried out in resource-limited areas. The timelines of these sensors help to prevent foodborne disease outbreaks, identify deadly bacterial infections, and expand surveillance of antimicrobial resistance in our food system. Overall, the technologies presented in this thesis demonstrate versatile detection strategies with broad applicability across clinical and environmental settings. | en |
| dc.description.degree | Doctor of Philosophy | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:45838 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/143332 | en |
| dc.language.iso | en | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | CRISPR | en |
| dc.subject | microfluidics | en |
| dc.subject | biosensors | en |
| dc.subject | pathogen detection | en |
| dc.subject | isothermal amplification | en |
| dc.subject | nanomaterials | en |
| dc.title | Advancing CRISPR-based biosensors for enhanced surveillance of emerging pathogens | en |
| dc.type | Dissertation | en |
| thesis.degree.discipline | Biological Systems Engineering | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | doctoral | en |
| thesis.degree.name | Doctor of Philosophy | en |
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