Simple data processing and unattended calibration are achieved in automated standard dilution analysis (aSDA) using two internal standards and an inline lab-made mixing chamber furnished from a common plastic syringe. Only two calibration solutions are required per sample, which minimizes reagent consumption and waste generation. Solution 1 contains 50% sample and 50% of a standard containing the analytes and internal standard 1 (IS). Solution 2 has 50% sample and 50% of a blank containing internal standard 2 (IS). The concentration of analyte in the sample is calculated from (i) the slope and intercept of an analyte vs. IS plot, (ii) the concentration of analyte in the standard added to Solution 1, and (iii) the intercept of a second plot with ISvs. IS. The aSDA method was used to determine Cd, Co, Cr, Cu, Pb and Zn in tap and creek water, beer, cola soft drink, mouthwash, cough syrup and cachaça by ICP OES. Addition/recovery experiments involving these same samples and other challenging matrices (i.e. 40% v/v HNO, and 1% m/v Na, Ca or C) were performed to evaluate the method's accuracy. The results were compared with values obtained with external standard calibration (EC), internal standardization (IS) and standard additions (SA). Considering all samples and analytes evaluated, aSDA provided the best accuracy, with an average absolute error (ε‾=|analytepercentrecovery-100|) of 4% (EC, IS and SA had 13%, 9% and 7% errors, respectively). The aSDA strategy is a simple and inexpensive alternative to traditional methods. It has great potential for broad implementation with existing ICP OES instrumentation, as it requires little modification to systems already in place in routine laboratories.
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http://dx.doi.org/10.1016/j.talanta.2019.120160 | DOI Listing |
Microb Genom
January 2025
GMT Science 75 route de Lyons-La-Foret, Rouen F-76000, France.
Microbiome profiling tools rely on reference catalogues, which significantly affect their performance. Comparing them is, however, challenging, mainly due to differences in their native catalogues. In this study, we present a novel standardized benchmarking framework that makes such comparisons more accurate.
View Article and Find Full Text PDFACS Infect Dis
January 2025
Pharmaceutical Chemistry Research Laboratory, Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Pilani, Vidya Vihar 333031, (RJ) India.
Antimicrobial drug resistance is a significant global health challenge, causing hundreds of thousands of deaths annually and severely impacting healthcare systems worldwide. Several reported antimicrobial compounds have a guanidine motif, as the positive charge on guanidine promotes cell lysis. Therefore, pyrrole- and indole-based allylidene hydrazine carboximidamide derivatives with guanidine motifs are proposed as antimicrobial agents that mimic cationic antimicrobial peptides (CAMPs).
View Article and Find Full Text PDFJAMA Netw Open
January 2025
City of Hope National Medical Center, Duarte, California.
Importance: Enhanced breast cancer screening with magnetic resonance imaging (MRI) is recommended to women with elevated risk of breast cancer, yet uptake of screening remains unclear after genetic testing.
Objective: To evaluate uptake of MRI after genetic results disclosure and counseling.
Design, Setting, And Participants: This multicenter cohort study was conducted at the University of Southern California Norris Cancer Hospital, the Los Angeles General Medical Center, and the Stanford University Cancer Institute.
JAMA Intern Med
January 2025
Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Importance: The optimal antiviral drug for treatment of nonsevere influenza remains unclear.
Objective: To compare effects of antiviral drugs for treating nonsevere influenza.
Data Sources: MEDLINE, Embase, CENTRAL, CINAHL, Global Health, Epistemonikos, and ClinicalTrials.
JAMA Neurol
January 2025
Department of Radiology, Mayo Clinic, Rochester, Minnesota.
Importance: Although 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) is a well-established cross-sectional biomarker of brain metabolism in dementia with Lewy bodies (DLB), the longitudinal change in FDG-PET has not been characterized.
Objective: To investigate longitudinal FDG-PET in prodromal DLB and DLB, including a subsample with autopsy data, and report estimated sample sizes for a hypothetical clinical trial in DLB.
Design, Setting, And Participants: Longitudinal case-control study with mean (SD) follow-up of 3.
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