Semantic Scholar Open Access 2023 14 sitasi

Automated sample-to-answer system for rapid and accurate diagnosis of emerging infectious diseases

Bonhan Koo Myoung Gyu Kim Kiri Lee Ji Yeun Kim Seungrag Lee +2 lainnya

Abstrak

Automated sample-to-answer systems that promptly diagnose emerging infectious diseases, such as zoonotic diseases, are crucial to preventing the spread of infectious diseases and future global pandemics. However, automated, rapid, and sensitive diagnostic testing without professionals and sample capacity and type limitations remains unmet needs. Here, we developed an automated sample-to-answer diagnostic system for rapid and accurate detection of emerging infectious diseases from clinical specimens. This integrated system consists of a microfluidic platform for sample preparation and a bio-optical sensor for nucleic acid (NA) amplification/detection. The microfluidic platform concentrates pathogens and NAs in a large sample volume using adipic acid dihydrazide and a low-cost disposable chip. The bio-optical sensor allows label-free, isothermal one-step NA amplification/detection using a ball-lensed optical fiber-based silicon micro-ring resonator sensor. The system is integrated with software to automate testing and perform analysis rapidly and simply;it can distinguish infection status within 80min. The detection limit of the system (0.96 × 101 PFU) is 10 times more sensitive than conventional methods (0.96 × 102 PFU). Furthermore, we validated the clinical utility of this automated system in various clinical specimens from emerging infectious diseases, including 20 plasma samples for Q fever and 13 (11 nasopharyngeal swabs and 2 saliva) samples for COVID-19. The system showed 100% sensitivity and specificity for detecting 33 samples of emerging infectious diseases, such as Q fever, other febrile diseases, COVID-19, human coronavirus OC43, influenza A, and respiratory syncytial virus A. Therefore, we envision that this automated sample-to-answer diagnostic system will show high potential for diagnosing emerging infectious diseases in various clinical applications.

Topik & Kata Kunci

Penulis (7)

B

Bonhan Koo

M

Myoung Gyu Kim

K

Kiri Lee

J

Ji Yeun Kim

S

Seungrag Lee

S

Sung-Han Kim

Y

Yong Shin

Format Sitasi

Koo, B., Kim, M.G., Lee, K., Kim, J.Y., Lee, S., Kim, S. et al. (2023). Automated sample-to-answer system for rapid and accurate diagnosis of emerging infectious diseases. https://doi.org/10.1016/j.snb.2023.133382

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.1016/j.snb.2023.133382
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
14×
Sumber Database
Semantic Scholar
DOI
10.1016/j.snb.2023.133382
Akses
Open Access ✓