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Makale detayı · 2023 · article

Clinical evaluation of DIAGNOVIR SARS-CoV-2 ultra-rapid antigen test performance compared to PCR-based testing

ISSN2045-2322
YÖKSİS OpenAlex Açık erişim · gold
Yıl2023
Atıf6OpenAlex
Yüzdelik%72,8
FWCI1,01,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q1

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıScientific Reports
  • Katalog eşleşmesi (ISSN)Scientific Reports
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

Abstract Coronavirus Disease-19 (COVID-19) is a highly contagious infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The development of rapid antigen tests has contributed to easing the burden on healthcare and lifting restrictions by detecting infected individuals to help prevent further transmission of the virus. We developed a state-of-art rapid antigen testing system, named DIAGNOVIR, based on immune-fluorescence analysis, which can process and give the results in a minute. In our study, we assessed the performance of the DIAGNOVIR and compared the results with those of the qRT-PCR test. Our results demonstrated that the sensitivity and specificity of the DIAGNOVIR were 94% and 99.2%, respectively, with a 100% sensitivity and 96.97% specificity, among asymptomatic patients. In addition, DIAGNOVIR can detect SARS‑CoV‑2 with 100% sensitivity up to 5 days after symptom onset. We observed that the DIAGNOVIR Rapid Antigen Test’s limit of detection (LoD) was not significantly affected by the SARS‑CoV‑2 variants including Wuhan, alpha (B1.1.7), beta (B.1.351), delta (B.1.617.2) and omicron (B.1.1.529) variants, and LoD was calculated as 8 × 102, 6.81 × 101.5, 3.2 × 101.5, 1 × 103, and 1 × 103.5 TCID50/mL, respectively. Our results indicated that DIAGNOVIR can detect all SARS-CoV-2 variants in just seconds with higher sensitivity and specificity lower testing costs and decreased turnover time.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

6atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yazarlar

13
  1. ALİ AYTAÇ SEYMEN 1
  2. EZGİ GÜLTEN 2
  3. EROL ÖZGÜR 3
  4. BÜLEND ORTAÇ 4
  5. İREM AKDEMİR ANKARA ÜNİVERSİTESİ 5
  6. GÜLE ÇINAR 6
  7. ELİF MUKİME SARICAOĞLU 7
  8. Gülen Guney Esken 8
  9. ERMAN AKKUŞ 9
  10. FÜSUN CAN 10
  11. ZEYNEP CEREN KARAHAN 11
  12. ALPAY AZAP 12
  13. ERKAN TUNCAY ANKARA ÜNİVERSİTESİ 13