Evidence map›Paper›PMID 41472938›Full record

ArticleIranian journal of biotechnology2026

Performance Evaluation of Nucleic Acid Detection Reagents and Verification of Various Factors Affecting the Efficiency of Nucleic.

Deming Zhao, Jingwei Yuan, Fujin Yuan, Sisi Lin, Jingbo Yuan

Abstract read
In one paragraph

Article in Iranian journal of biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Deming ZhaoThe First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, people's Republic of China.
Jingwei YuanThe First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, people's Republic of China.
Fujin YuanThe First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, people's Republic of China.
Sisi LinThe First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, people's Republic of China.
Jingbo YuanThe First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, people's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since the COVID-19 outbreak in 2019, nucleic acid testing has been central to epidemic control and clinical decision-making. However, variability in assay kits and extraction steps can affect sensitivity, specificity, and reproducibility. Systematic evaluation of detection reagents and extraction efficiency is essential to ensure reliable clinical results. Objective: This study aimed to evaluate whether three domestic novel coronavirus nucleic acid detection kits based on fluorescence PCR meet clinical requirements for COVID-19 testing. Materials and Methods: The performance of the kits was assessed through coincidence rate, precision, detection limit, specificity, and interference resistance using standard positive, negative, and interference reference samples. Amplification efficiency of three detection reagents was compared with eight positive clinical samples. Additionally, amplification performance was examined under oscillation and non-oscillation conditions before nucleic acid extraction, and with varying input volumes. Results: The coincidence rates for both N and ORF1ab genes in positive and negative references were 100%. Precision testing showed intra-batch coefficients of variation (CV) ≤2.26%. The lower detection limit of 5.0E+02 copies/mL was consistently detected in all repetitions. No cross-reactivity was observed with Influenza A/B, respiratory syncytial virus, parainfluenza virus, Epstein-Barr virus, or Mycobacterium tuberculosis. Interference testing with hemoglobin, bilirubin, triglyceride, oseltamivir, azithromycin, ceftriaxone, and NaCl demonstrated no impact on detection. Comparative analysis showed significant differences in amplification efficiency among the three reagents for both N and ORF1ab genes ( Conclusions: The evaluated kits met clinical performance standards for coincidence rate, precision, detection limit, specificity, and resistance to interference. While amplification efficiencies differed among reagents and experimental conditions, all satisfied clinical diagnostic requirements. These findings underscore the importance of systematic performance verification and optimization of sample handling to ensure reliable nucleic acid detection for COVID-19.

Indexed as

2019-nCoVExtraction efficiencyFluorescence PCRPerformance verification

Identifiers

PMID41472938
PMCPMC12745709

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.