Objective: To evaluate the performance of BNII auto-analyzer system in detecting C3 and C4.
Methods: CLSI protocols (EP15-A, EP6-A, EP9-A2) and other relevant literatures were use to or evaluate the precision, accuracy, linearity of C3 and C4 detection by the auto-analyzer system, and the results were compared with the recognized standards.
Results: The relative bias of C3 and C4 was less than one third of the CLIA'88 standard and the precision met the clinical requirement. The results tested by DADE BNII system were not compatible with those by Roche Modular System. C3 showed good linearity in the tests (R2>0.975, P<0.05) with a linearity range of 0.18-5.1 g/L. The linearity of C4 was not available because of lack of high-level samples.
Conclusion: The performances of DADE BNII System basically meet the recognized standards in clinical detection of C3 and C4, but the method comparison needs further validation.
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Nanotechnology
January 2025
Xidian University, Room 120, G building, Southern campus of Xidian University, Xi'an, Shaanxi, 710126, CHINA.
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From the Department of Nuclear Medicine, University of Health Sciences, Prof. Dr. Cemil Taşcıoğlu City Hospital, Istanbul, Turkey.
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Department of Computer Science, Virginia Tech, Arlington, VA, United States of America.
Trade in wood and forest products spans the global supply chain. Illegal logging and associated trade in forest products present a persistent threat to vulnerable ecosystems and communities. Illegal timber trade has been linked to violations of tax and conservation laws, as well as broader transnational crimes.
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