scholarly journals Establishing an internal quality control method for the stable extraction of nucleic acids of severe acute respiratory syndrome coronavirus 2 and RT‐PCR‐based detection

Author(s):  
Takahiro Okuyama ◽  
Kouki Ohtsuka ◽  
Wataru Ogura ◽  
Shota Yonetani ◽  
Satoko Yamasaki ◽  
...  
2020 ◽  
Vol 16 ◽  
Author(s):  
Houli Li ◽  
Di Zhang ◽  
Xiaoliang Cheng ◽  
Marwa Fath Abdulqawi Sultan ◽  
Lilong Xiong ◽  
...  

Background: There is no worldwide recognized reference internal quality control method for therapeutic drug monitoring (TDM) of voriconazole (VCZ) by liquid chromatography (LC). In this study, we aimed to develop an internal quality control method for TDM of VCZ, evaluate it by the Westgard Multi-rule Theory, and guarantee the analytical quality of the assays. Method: The plasma concentration of VCZ was detected by two-dimensional liquid chromatography with ultraviolet detection (2D-LC-UV) method. The internal quality control results accompanying with TDM of VCZ in our laboratory from July 2019 to January 2020 were collected and retrospectively studied. The Levey-Jennings quality chart and Z-score quality chart were drawn and Westgard Multi-rules of 12s/13s/22s/R4s/41s/10x were applied to assess the suitable quality control method for TDM of VCZ. Results: The 2D-LC-UV method was well suited to monitor the plasma concentration of VCZ and increase the real-time capability of TDM for VCZ. Combined with Westgard Multi-rules, the quality control charts of Levery-Jennings and Zscore both can timely discover and judge the systematic errors and random errors for the internal quality control results. 86 batches of quality control products were assessed and 7 times warnings and 6 times out of control were detected. Conclusion: The Westgard Multi-rules, with high efficacy in determining detection errors, has important application value in the internal quality control for TDM of VCZ. The developed quality control method can improve the accuracy and reliability for VCZ measurement by a 2D-LC-UV method and further promote the clinical rational use of the drug.


Cytopathology ◽  
1995 ◽  
Vol 6 (6) ◽  
pp. 376-387 ◽  
Author(s):  
S. J. JOHNSON ◽  
T. HAIR ◽  
L. GIBSON ◽  
B. RIDLEY ◽  
V. WADEHRA

Polymers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 340
Author(s):  
Elisa Chiodi ◽  
Francesco Damin ◽  
Laura Sola ◽  
Lucia Ferraro ◽  
Dario Brambilla ◽  
...  

The manufacture of a very high-quality microarray support is essential for the adoption of this assay format in clinical routine. In fact, poorly surface-bound probes can affect the diagnostic sensitivity or, in worst cases, lead to false negative results. Here we report on a reliable and easy quality control method for the evaluation of spotted probe properties in a microarray test, based on the Interferometric Reflectance Imaging Sensor (IRIS) system, a high-resolution label free technique able to evaluate the variation of the mass bound to a surface. In particular, we demonstrated that the IRIS analysis of microarray chips immediately after probe immobilization can detect the absence of probes, which recognizably causes a lack of signal when performing a test, with clinical relevance, using fluorescence detection. Moreover, the use of the IRIS technique allowed also to determine the optimal concentration of the probe, that has to be immobilized on the surface, to maximize the target recognition, thus the signal, but to avoid crowding effects. Finally, through this preliminary quality inspection it is possible to highlight differences in the immobilization chemistries. In particular, we have compared NHS ester versus click chemistry reactions using two different surface coatings, demonstrating that, in the diagnostic case used as an example (colorectal cancer) a higher probe density does not reflect a higher binding signal, probably because of a crowding effect.


2013 ◽  
Vol 141 (2) ◽  
pp. 798-808 ◽  
Author(s):  
Zhifang Xu ◽  
Yi Wang ◽  
Guangzhou Fan

Abstract The relatively smooth terrain embedded in the numerical model creates an elevation difference against the actual terrain, which in turn makes the quality control of 2-m temperature difficult when forecast or analysis fields are utilized in the process. In this paper, a two-stage quality control method is proposed to address the quality control of 2-m temperature, using biweight means and a progressive EOF analysis. The study is made to improve the quality control of the observed 2-m temperature collected by China and its neighboring areas, based on the 6-h T639 analysis from December 2009 to February 2010. Results show that the proposed two-stage quality control method can secure the needed quality control better, compared with a regular EOF quality control process. The new method is, in particular, able to remove the data that are dotted with consecutive errors but showing small fluctuations. Meanwhile, compared with the lapse rate of temperature method, the biweight mean method is able to remove the systematic bias generated by the model. It turns out that such methods make the distributions of observation increments (the difference between observation and background) more Gaussian-like, which ensures the data quality after the quality control.


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