Please use this identifier to cite or link to this item: http://repository.i3l.ac.id/jspui/handle/123456789/1528
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dc.contributor.authorPrasetyo, Bernard Sandy-
dc.date.accessioned2026-09-07T04:44:26Z-
dc.date.available2026-09-07T04:44:26Z-
dc.date.issued2026-08-10-
dc.identifier.urihttp://repository.i3l.ac.id/jspui/handle/123456789/1528-
dc.description.abstractDengue virus (DENV) infection remains a major public health threat in Indonesia, where current gold-standard diagnostic methods such as RT-PCR are often inaccessible in resource-limited settings. This study aimed to develop and validate a rapid, cost-effective Reverse Transcription Loop-mediated Isothermal Amplification (RT-LAMP) assay for the detection of DENV in clinical samples. Serotype specific primers were designed targeting the envelope (E) gene, and the assay was optimized at 55°C to ensure specificity and fficiency. Analytical validation included sensitivity testing via serial dilutions, specificity testing against Zika and Chikungunya viruses, and clinical evaluation using confirmed patient samples by RT-qPCR. Results demonstrated that the RT-LAMP assay exhibited high specificity, with no cross-reactivity to other major arboviruses, and sensitivity comparable to RT-qPCR for DENV-1, DENV-2, and DENV-4. However, detection of DENV-3 was less sensitive, and clinical performance varied, indicating the need for further primer optimization. In conclusion, the RT-LAMP assay shows strong potential as a decentralized, field-deployable diagnostic tool for dengue in Indonesia, though further validation with larger clinical cohorts is recommended.en_US
dc.language.isoenen_US
dc.publisheri3L Pressen_US
dc.relation.ispartofseriesT202608032;BM26-032-
dc.subjectDengue virusen_US
dc.subjectRT-LAMPen_US
dc.subjectdiagnosisen_US
dc.subjectIndonesiaen_US
dc.subjectpoint-of-care testingen_US
dc.titleOptimization and Validation of a Rapid and Cost-Effective RT-LAMP System for Enhanced Detection and Diagnostics of Dengue Virus Infection in Clinical Samples in Indonesiaen_US
dc.typeThesisen_US
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