Article
Medicine, Research & Experimental
Ahmet Rifat Balik, Funda Gucel
Summary: In this study, the analytical performance characteristics of routine clinical chemistry and immunoassay tests were compared using different target-setting models. The measurement uncertainty was found to be higher than the total analytical error for all analytes, with ALT, AST, glucose, K, and triglycerides showing the best performance.CLIA for total analytical error, and PRDEQA% and pUEQAS% for measurement uncertainty were found to match better than BVEFLM, RC
SCANDINAVIAN JOURNAL OF CLINICAL & LABORATORY INVESTIGATION
(2021)
Article
Medical Laboratory Technology
Muhammed E. Duz, Elif Menekse, Burak Y. Avci, Alper Gumus
Summary: Analytical errors in laboratory testing are important for laboratory professionals in terms of intervention ability and practicality of follow-up. Clinical laboratories use various parameters such as total analytical error, bias, coefficient of variation, and uncertainty of measurement to assess the quality of test results. This study compared the performance of different laboratory devices and evaluated the results based on various datasets.
CLINICAL LABORATORY
(2023)
Article
Medical Laboratory Technology
Muhammed E. Duz, Elif Menekse, Burak Y. Avci, Alper Gumus
Summary: This study aimed to compare the analytical errors and measurement uncertainty of different devices for biochemical parameters and compared them with other datasets. The results showed no significant differences between the devices during the study period, and similar conclusions were obtained. Different test datasets have different criteria for determining the validity of test results.
CLINICAL LABORATORY
(2022)
Article
Chemistry, Analytical
Adriano Y. Sano, Felipe R. Lourenco
Summary: The study evaluated the measurement uncertainty in the dissolution test of glyburide tablets, finding that the majority of uncertainty came from sampling, and the tablets did not meet the specified limits for dissolution. The results offer insights for the pharmaceutical industry to optimize quality control processes and ensure product efficacy and safety.
MICROCHEMICAL JOURNAL
(2024)
Article
Medical Laboratory Technology
Damiano Ognissanti, Moa Andresen Bergstrom, Elvar Theodorsson, Anders Larsson, Gunnar Nordin, Ola Hammarsten
Summary: In this study, we investigated the impact of optimizing sampling time points and estimating analytical uncertainty on calculating glomerular filtration rate (GFR). We found that incorrect time point selection could lead to inflation of analytical uncertainty in GFR calculations, but using optimal time points could yield the same uncertainty as analytical uncertainty. Among the three samples, the middle sample had little value. The first sample should be collected as early as possible after the distribution phase. Sampling before the patient-specific half-life of the kidney filtration marker resulted in exponential error inflation, while no error inflation was observed when sampling occurred later than 2 half-lives. Theoretical GFR uncertainty could be reduced by 2.6-fold if individually optimized time points were used in 731 clearance measurements. By using Taylor expansions to approximate the moments of transformed random variables, the uncertainty of individual GFR measurements could be calculated in a simple manner that can be applied by laboratory software.
CLINICAL CHEMISTRY
(2022)
Article
Multidisciplinary Sciences
Binke Xia, Jingzheng Huang, Hongjing Li, Han Wang, Guihua Zeng
Summary: Achieving ultimate precision for multiple parameters simultaneously in quantum physics is a challenging task due to the Heisenberg uncertainty principle. This study proposes a criterion for multiparameter estimation that offers a possible solution by increasing the variances of parameter generators. Experimental results demonstrate the estimation of spatial displacement and angular tilt of light simultaneously, achieving precisions of 1.45 nm and 4.08 nrad. These findings provide insight into the role of the Heisenberg uncertainty principle in multiparameter estimation and contribute to quantum metrology applications.
NATURE COMMUNICATIONS
(2023)
Article
Engineering, Multidisciplinary
Krzysztof Tomczyk
Summary: This study proposes a procedure for establishing the class of dynamic accuracy for measurement sensors using simulation signals. The procedure is based on the parameters of the sensor's mathematical model, uncertainties, and an algorithm for determining the upper bound of dynamic error. The developed approach allows for comparing the accuracy of sensors and was demonstrated using an example of an acceleration sensor.
Article
Medical Laboratory Technology
Abdurrahman Coskun, Elvar Theodorsson, Wytze P. Oosterhuis, Sverre Sandberg
Summary: This article discusses the calculation methods of measurement uncertainty in clinical laboratories and describes a practical approach, along with its advantages and disadvantages.
CLINICA CHIMICA ACTA
(2022)
Article
Chemistry, Analytical
Jean-Marie Lepioufle, Leif Marsteen, Mona Johnsrud
Summary: This study proposed a method different from the traditional valid/non-valid flag in Air Quality (AQ) quality control, predicting the p-value for each observation. Based on the Total Error framework, it was found that the method proposed by Lu performed better in error predictions. To ensure high precision in error prediction, efforts are needed to improve the accuracy of input, output, and prediction models, and to limit the lack of knowledge about true AQ phenomena.
Article
Chemistry, Analytical
Adriano Y. Sano, Felipe R. Lourenco
Summary: This article evaluates the measurement uncertainty arising from the sampling and analytical steps of the dissolution test of prednisone tablets. The overall uncertainty value is found to be 2.2%, which is below the target uncertainty value of 2.5%. The contributions of uncertainty sources are 24% from sampling uncertainty, 29% from the dissolution step uncertainty, and 47% from the quantification step uncertainty.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2023)
Article
Materials Science, Multidisciplinary
Yunpeng Liu, Li Han, Huan Zhao, Xianping Liu
Summary: This study investigated the influences of cutting positions on the measurement accuracy of self-piercing riveted joint quality indicators, proposing evaluation and correction methods. It was found that the accuracy of interlock and bottom sheet thickness were affected by cutting positions, with offset distance and rotation angle causing errors. The proposed correction strategy effectively reduced the relative interlock error.
MATERIALS & DESIGN
(2021)
Article
Automation & Control Systems
Xiaocheng Zhang, Wenchao Xue, Sen Chen, Haitao Fang
Summary: This paper systematically discusses state estimation for systems with multiple uncertain dynamics and measurement biases, introducing the concept of generalized observability. Necessary and sufficient conditions for observability are developed, with the construction of an observer for estimating observable combinations and quantitative analysis of estimation errors for system state vector. Simulation study validates the theoretical results.
SYSTEMS & CONTROL LETTERS
(2021)
Article
Engineering, Multidisciplinary
Peili Yin, Fanbin Han, Jianhua Wang, Chunxia Lu
Summary: By utilizing the digital twin technology and considering the module factor, the authors established a measurement uncertainty model for gear tooth profile, investigating the influence of module on the measurement uncertainty of tooth profile deviation. The results showed that the measurement uncertainty varied with the change in module.
Article
Medical Laboratory Technology
Chun Yee Lim, Shin Ow Yang, Corey Markus, Tze Ping Loh
Summary: In this simulation study, we investigated the impact of calibration frequencies on the variability of laboratory measurements. The results showed that an increased frequency of calibrations does not adversely affect the overall analytical performance of a measurement procedure.
CLINICA CHIMICA ACTA
(2023)
Article
Optics
Xiaoyun Chen, Jiarui Lin, Yanbiao Sun, Huiyu Ma, Jigui Zhu
Summary: A novel dynamic stereo vision measurement system based on the quaternion theory is proposed in this paper to reduce orthogonality restrictions and provide complete uncertainty results. By analyzing the relationship among attitude angles, the major factors influencing uncertainties in each axis are identified, and the uncertainty variation tendency is illustrated. The analytical solution of uncertainty with the GUM method offers a new idea for uncertainty analysis in complex combined measurement systems.