Background: The study aimed to assess the analytical performance of the Access Sensitive Estradiol (SNSE2) Assay on a DxI800 (Beckman Coulter, Brea, CA, USA) and compared it with a Cobas E 601 (Roche Diagnostics, Penzberg, Germany).
Methods: SNSE2 was assessed for imprecision, accuracy, limit of blank (LoB), limit of detection (LoD), limit of quantitation (LoQ), linearity, interference, and carryover. Two hundred and fourteen samples were run on both instruments. Bland-Altman plots, Passing-Bablok regression, and concordance correlation coefficient (CCC) graphs were used for comparisons.
Results: Access SNSE2 showed appropriate assay performance characteristics in terms of imprecision, LoB, LoD, LoQ, linearity, and interference. The Bland-Altman analysis of DxI 800 yielded negative bias from Cobas E 601 and the deviations for E2 ≤ 150 pmol/L, 150 - 500 pmol/L, and ≥ 500 pmol/L were found as 0.8%, -15%, and -8.9%, respectively. DxI 800 and E170 systems showed poor agreement for E2 levels ≤ 150 pmol/L and 150 - 500 pmol/L with CCC values of 0.7404 and 0.8342. For E2 levels ≤ 150 pmol/L there was a significant amount of both proportional and constant error with the highest slope of 1.518 (1.269 to 1.761) and an intercept of -45.08 (-66.09 to 18.78, respectively, according to the Passing-Bablok regression analysis).
Conclusions: Analytical performance for SNSE2 assay was found appropriate. However, attempts to improve harmonization and standardization across assays do not seem to contribute much for E2 measurements. Results obtained with different systems cannot be used interchangeably and follow up of patients should be done with the same system.
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http://dx.doi.org/10.7754/Clin.Lab.2020.200806 | DOI Listing |
Methods Mol Biol
January 2025
Biomic Auth, Bioanalysis and Omics Laboratory, Center for Interdisciplinary Research and Innovation, Aristotle University, Thessaloniki, Greece.
Metabolomics aims at identification and quantitation of key end point metabolites, basically polar, in order to study changes in biochemical activities in response to pathophysiological stimuli or genetic modifications. Targeted profiling assays enjoying a growing popularity over the last years with LC-MS/MS as a powerful tool for development of such (semi-)quantitative methods for a large number of metabolites. Here we describe a method for absolute quantitation of ca.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Division of Systems Medicine, Department of Metabolism Department of Metabolism, Digestion and Reproduction, Imperial College, London, UK.
Metabolic profiling performed using untargeted metabolomics of different, complex biological samples aims to apply agnostic/holistic, hypothesis-free, analysis of the small molecules that are present in the analyzed sample. This approach has been the center of major investments and dedicated efforts from the research community for many years. However, limitations and challenges remain, particularly with regard to the validation and the quality of the obtained results.
View Article and Find Full Text PDFEur Radiol Exp
January 2025
St Vincent's University Hospital, Dublin, Ireland.
Background: The large language model ChatGPT can now accept image input with the GPT4-vision (GPT4V) version. We aimed to compare the performance of GPT4V to pretrained U-Net and vision transformer (ViT) models for the identification of the progression of multiple sclerosis (MS) on magnetic resonance imaging (MRI).
Methods: Paired coregistered MR images with and without progression were provided as input to ChatGPT4V in a zero-shot experiment to identify radiologic progression.
ACS Appl Mater Interfaces
January 2025
Interdisciplinary Material Science Program, Vanderbilt University, Nashville, Tennessee 37235, United States.
Porous silicon (PSi) thin films on silicon substrates have been extensively investigated in the context of biosensing applications, particularly for achieving label-free optical detection of a wide range of analytes. However, mass transport challenges have made it difficult for these biosensors to achieve rapid response times and low detection limits. In this work, we introduce an approach for improving the efficiency of molecule transport in PSi by using open-ended PSi membranes atop paper substrates in a flow-through sensor scheme.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Institute of New Energy Technology, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Trigonal selenium (t-Se) is a promising wide-band-gap photovoltaic material with a high absorption coefficient, abundant resources, simple composition, nontoxicity, and a low melting point, making it suitable for absorbers in advanced indoor and tandem photovoltaic applications. However, severe electrical losses at the rear interface of the t-Se absorber, caused by work function and lattice mismatches, limit the voltage output and overall performance. In this study, a strategy to enhance carrier transport and collection by modifying interfacial chemical interactions is proposed.
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