A comparative study on the performance of the extraction of 2019-NCOV RNA by three kinds of automated nucleic acid purifiers / 公共卫生与预防医学
Journal of Public Health and Preventive Medicine
; (6): 67-70, 2021.
Article
在 Zh
| WPRIM
| ID: wpr-906621
Responsible library:
WPRO
ABSTRACT
Objective To compare the detection results of three kinds of automated nucleic acid purifiers, and to evaluate the detection performance of the domestic 2019-nCoV RNA purifier. Methods Three automated nucleic acid purifiers, namely A (imported), B (domestic), and C (domestic) automated nucleic acid extraction instruments, were used to purify nucleic acid. The Conchestan 2019-nCoV RNA (Liquid) quality control product S5 (batch number 202007002, reference level 1000cp/ml) was chosen as the experimental object. The quality control product was diluted in a series of 10 to 1000 times to prepare experimental samples of different concentrations. Among them, the A nucleic acid purifier used its own matching reagents, and the B and C purifiers belonged to a same manufacturer with different models and used their own supporting reagents as well as third-party reagents, to evaluate the anti-pollution ability, precision, accuracy, repeatability, detection limit and linear correlation. Results Using the imported brand A as a reference standard for comparison, when using reagents from B, the linear correlation between the two domestic nucleic acid purifiers and the imported equipment were 0.999, 0.915 (N-terminal), and 0.997, 0.825 (ORF1ab-terminal), respectively; when using the third-patty reagents, the linear correlation between the two domestic nucleic acid purifiers and the imported equipment were 0.999, 0.915 (N-terminal) and 0.997, 0.825 (ORF1ab-terminal), respectively. Conclusion The extraction of 2019-NCOV RNA by domestic nucleic acid purifiers can be fully automated with good correlation. The system performance is comparable to international standards. Moreover, the extraction time of the domestic nucleic acid purifiers is shorter than the imported one, which offers obvious advantages when the number of samples is large.