Yayınlanmış 1 Ocak 2025 | Sürüm v1
Dergi makalesi Açık

Next-Generation Point-of-Care Diagnostics: Silver Nanoparticle-Enhanced 3D-Printed Multiplex Electrochemical Biosensor for Detecting Dengue and Chikungunya Viruses

  • 1. Jamia Hamdard, Sch Chem & Life Sci, Dept Biotechnol, New Delhi 110062, India
  • 2. Ege Univ, Inst Nat Sci, Dept Bioengn, TR-35100 Izmir, Turkiye
  • 3. Ege Univ, Fac Engn, Dept Bioengn, Izmir 35100, Turkiye

Açıklama

In recent years, the increasing prevalence of viral infections such as dengue (DENV) and chikungunya (CHIKV) has emphasized the vital need for new diagnostic techniques that are not only quick and inexpensive but also suitable for point-of-care and home usage. Existing diagnostic procedures, while useful, sometimes have limits in terms of speed, mobility, and price, particularly in resource-constrained environments and during epidemics. To address these issues, this study proposes a novel technique that combines 3D printing technology with electrochemical biosensors to provide a highly sensitive, user-friendly, and customizable diagnostic platform. This study focuses on a unique 3D-printed electrode cassette made with fused deposition modeling technology, which ensures strong structural alignment and improved performance under a variety of environmental conditions. When combined with paper-based electrodes loaded with silver nanoparticles, the platform dramatically enhances the detection sensitivity and reliability. The biosensor uses cyclic voltammetry and electrochemical impedance spectroscopy to detect DENV and CHIKV antigens within a linear range of 1 x 102 to 1 x 106 ng/mL. Results were delivered in 20 s and stable for 30 days. The device's performance was verified by testing with blood serum samples containing both DENV and CHIKV antigens, demonstrating its capacity to properly identify coinfections. This novel diagnostic tool represents a huge step forward in accessible and efficient healthcare solutions, bridging important gaps in the global battle against arboviral infections.

Dosyalar

bib-9feae3b8-8a50-46ed-9327-7510eb4eedcf.txt

Dosyalar (295 Bytes)

Ad Boyut Hepisini indir
md5:b5ed3c56bf9a3b1479f78086ca8b220c
295 Bytes Ön İzleme İndir