Performance evaluation of a novel fully-automated molecular diagnostics system Molecision R8

Y Yanfang Mo X Xiaowen Wu C Chao Chen L Lixia Liang J Jianyin Su C Chengde Li Y Yueying Wang T Ting Wang (Department of Radiation Oncology The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital Zhengzhou China) P Pu Sun Z Zhonggang Fang Z Zhifang Lin

Abstract

Objective To evaluate the functionality of key modules of a novel fully-automated molecular diagnostics system Molecision R8 and the performance of the integrated system. Methods The nucleic acid extraction and PCR detection modules were evaluated using HBV DNA assay through precision and comparison with Molecision MP-32 and HongShi SLAN-96, respectively. Instrument comparison of R8 with an open system was conducted using Molecision HBV DNA and Chlamydia trachomatis / Ureaplasma urealyticum / Neisseria gonorrhoeae (CT/UU/NG) triplex assays. Systemic comparison of R8 and combined reagents with Sansure system were conducted on HBV DNA, CT, UU, and NG assays of their own. Results In modular evaluation, the imprecision of both modules was all below 5% and Passing-Bablok (PB) regression and Bland-Altman (BA) analysis showed closeness to y = x and biases below 0.15 lg IU/mL. Instrument comparison obtained a regression equation of y = 0.982x + 0.084 and a bias of 0.05 lg IU/mL for HBV DNA detection in serum and agreement rates all above 96.5% for CT, UU and NG detection in genital tract samples. In the systemic comparison, the regression equation was y = 1.024x + 0.096 and the bias was 0 lg IU/mL for HBV DNA. For CT, UU and NG, the agreement rates were also all larger than 96.5%. Conclusions Analytical performance of Molecision R8 was superior or comparable to commercial nucleic acid purification and PCR systems. Molecision R8 alone or combined with related reagents are robust in measuring serum and genital tract samples. Overall, Molecision R8 holds strong promise for clinical use.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 21, Issue 5
Published May 19, 2026
Pages e0349674
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (11)

Y

Yanfang Mo

X

Xiaowen Wu

C

Chao Chen

L

Lixia Liang

J

Jianyin Su

C

Chengde Li

Y

Yueying Wang

T

Ting Wang

Department of Radiation Oncology The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital Zhengzhou China

P

Pu Sun

Z

Zhonggang Fang

Z

Zhifang Lin