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200 results for “method validation”
Data from: Validating methods for estimating endocranial volume in individual red deer (Cervus elaphus)
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Data from: Development and validation of rapid environmental DNA (eDNA) detection methods for bog turtle (Glyptemys muhlenbergii)
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Data from: Hypothesis-driven and field-validated method to prioritize fragmentation mitigation efforts in road projects
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Raw data for Urine DNA (uDNA) as a non-lethal method for endoparasite biomonitoring: development and validation
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Figure 4 from: Horyn M, Logoyda L (2020) Bioanalytical method development and validation for the determination of metoprolol and meldonium in human plasma. Pharmacia 67(2): 39-48. https://doi.org/10.3897/pharmacia.67.e50397
Figure 4 Typical multiple reaction monitoring chromatograms of meldonium and internal standard in dipotassium ethylenediaminetetraacetic acid human blank plasma.
Figure 2 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 2 Representative chromatogram of amlodipine in combinated tablets (1- peak of bisoprolol, 2- peak of enalapril, 3 – peak of amlodipine).
Figure 3 from: Horyn M, Logoyda L (2020) Bioanalytical method development and validation for the determination of metoprolol and meldonium in human plasma. Pharmacia 67(2): 39-48. https://doi.org/10.3897/pharmacia.67.e50397
Figure 3 Typical multiple reaction monitoring chromatograms of metoprolol and internal standard in dipotassium ethylenediaminetetraacetic acid human blank plasma.
Validation of an eDNA-based method for the detection of wildlife pathogens in water
<p>Monitoring the occurrence and density of parasites and pathogens can identify high infection-risk areas and facilitates disease control and eradication measures. Environmental DNA (eDNA) techniques are increasingly used for pathogen detection due to their relative ease of application. Since many factors affect the reliability and efficacy of eDNA-based detection, rigorous validation and assessment of method limitations is a crucial first step. We evaluated an eDNA detection method using in-situ filtration of large volume water samples, developed to detect and quantify aquatic wildlife parasites by qPCR. We assessed method reliability using Batrachochytrium dendrobatidis, a pathogenic fungus of amphibians and the myxozoan Tetracapsuloides bryosalmonae, causative agent of salmonid proliferative kidney disease, in a controlled experimental setup. Different amounts of parasite spores were added to tanks containing either clean tap water or water from a semi-natural mesocosm community. Overall detection rates were higher than 80 %, but detection was not consistent among replicate samples. Within tank variation in detection emphasises the need for increased site-level replication when dealing with parasites and pathogens. Estimated parasite DNA concentrations in water samples were highly variable and significant increase with higher spore concentrations was observed only for B. dendrobatidis. Despite evidence for PCR inhibition in DNA extractions from mesocosm water samples, the type of water did not affect detection rates significantly. Direct spiking controls revealed that the filtration step reduced detection sensitivity. Our study identifies sensitive quantification and sufficient replication as major remaining challenges of eDNA-based methods for detection of parasites in water.</p>
Figure 7 from: Piponski M, Balkanov T, Logoyda L (2021) Development and validation of a fast and simple HPLC method for the simultaneous determination of bisoprolol and enalapril in dosage form. Pharmacia 68(1): 69-77. https://doi.org/10.3897/pharmacia.68.e50919
Figure 7 Linearity illustrating chromatograms obtained using final established, optimized and validated chromatographic method, with 55% methanol. First peak is bisoprolol and second enalapril Dionex Ultimate 3000 UHPLC system.
Figure 6 from: Piponski M, Balkanov T, Logoyda L (2021) Development and validation of a fast and simple HPLC method for the simultaneous determination of bisoprolol and enalapril in dosage form. Pharmacia 68(1): 69-77. https://doi.org/10.3897/pharmacia.68.e50919
Figure 6 Chromatograms chracteristics obtained using final established optimized validated chromatographic method (upper run), compared with more reteaining with 10% less methanol (lower run), with their system suitabilitiy parameters,worked on Dionex Ultimate 3000 UHPLC system.
Figure 5 from: Piponski M, Balkanov T, Logoyda L (2021) Development and validation of a fast and simple HPLC method for the simultaneous determination of bisoprolol and enalapril in dosage form. Pharmacia 68(1): 69-77. https://doi.org/10.3897/pharmacia.68.e50919
Figure 5 Chromatogram obtained using Shimadzu Nexera XR UPLC system and mobile phase 50% metanol and 40% of 0.07% (V/V) perchloric acid, column Zorbax Rx C8 (4.6 mm i.d. × 250 mm, 5 μm), with 3-D UV contour diagram extracted ,analytes UV spectra and peak purity. First peak at about 6.1min is bisoprolol and peak at about 7.1min is enalapril.
Figure 3 from: Piponski M, Balkanov T, Logoyda L (2021) Development and validation of a fast and simple HPLC method for the simultaneous determination of bisoprolol and enalapril in dosage form. Pharmacia 68(1): 69-77. https://doi.org/10.3897/pharmacia.68.e50919
Figure 3 Elution profiles obtained for test samples prepared of bisoprolol+ enalapril tablets (10 + 10) mg using three different mobile phases: a) 55% metanol and 45% of 0.07% (V/V) perchloric acid; b) 40% metanol and 10% acetonitrile and 50% of 0.07% (V/V) perchloric acid; and c) 50% metanol and 50% of 0.07% (V/V) perchloric acid. First peak is bisoprolol and second enalapril. Chromatographic conditions: Shimadzu Nexera XR UPLC system, C-8 column Zorbax Rx (4.6 mm i.d. X 250 mm, 5 μm), flow rate 1.0 mL/min, column temperature 42 °C, injection volume 10 μL.
Figure 4 from: Piponski M, Balkanov T, Logoyda L (2021) Development and validation of a fast and simple HPLC method for the simultaneous determination of bisoprolol and enalapril in dosage form. Pharmacia 68(1): 69-77. https://doi.org/10.3897/pharmacia.68.e50919
Figure 4 Chromatogram obtained using Shimadzu Nexera XR UPLC system and mobile phase 55% metanol and 45% of 0.07% (V/V) perchloric acid, column Zorbax Rx C8 (4.6 mm i.d. × 250 mm, 5 μm), with 3-D UV contour diagram extracted, analytes UV spectra and peak purity. First peak at about 4.7min is bisoprolol and peak at about 5.2min is enalapril.
Data from: Validation of a non-invasive method for the early detection of metabolic syndrome: a diagnostic accuracy test in a working population
Objectives. A non-invasive method for the early detection of Metabolic Syndrome (NIN-MetS) using only Waist to Height Ratio (WHtR) and Blood Pressure (BP) has recently been published, with fixed cut-off values for gender and age. The aim of this study was to validate this method in a large sample of Spanish workers. Design. A diagnostic test accuracy to assess the validity of the method was performed. Setting. Occupational Health Services. Participants. The studies were conducted in 2012-2016 on a sample of 60,799 workers from the Balearic Islands (Spain). Interventions. The NCEP-ATP III criteria were used as the gold standard. NIM-MetS has been devised using classification trees (the CHAID, Chi-squared Automatic Interaction Detection method). Main outcome measures. Anthropometric and biochemical variables to diagnose MetS. Sensitivity, specificity, validity index and Youden Index were determined to analyse the accuracy of the diagnostic test (NIM-MetS). Results. Regarding the validation of the method, sensitivity was 54.7%, specificity 94.9% and validity index 91.2%. The cut-off value for WHtR was 0.54, ranging from 0.51 (lower age group) to 0.56 (higher) in the age groups. Variables more closely associated with MetS were WHtR (AUC=0.85; 95% CI: 0.84-0.86) and Systolic Blood Pressure (AUC=0.79; 95% CI: 0.78-0.80). The final cut-off values for the non-invasive method were WHtR≥0.56 and BP≥128/80 mmHg, which includes four levels of MetS risk (very low, low, moderate and high). Conclusions. The analysed method has shown a high validity index (higher than 91%) for the early detection of MetS. It is a non-invasive method easy to apply and interpret in any health care setting. This method provides a scale of MetS risk which allows a more accurate detection and a more effective intervention.
Figure 3 from: Hasanuddin DNA, Garmana AN, Sasongko L (2024) HPLC method for the determination of nifedipine in rat plasma: development, validation, and application to pharmacokinetic drug-herb interaction study. Pharmacia 71: 1-6. https://doi.org/10.3897/pharmacia.71.e119198
Figure 3 A. Concentration-time (mean ± SD) and B. Natural logarithm-time (mean ± SD) of nifedipine in plasma after a single dose of nifedipine 1 mg/kg (n = 3) and co-administration of nifedipine with Gynura procumbens leaf extract 154 mg/kg (n = 3) in male Wistar rats.
Figure 1 from: Hasanuddin DNA, Garmana AN, Sasongko L (2024) HPLC method for the determination of nifedipine in rat plasma: development, validation, and application to pharmacokinetic drug-herb interaction study. Pharmacia 71: 1-6. https://doi.org/10.3897/pharmacia.71.e119198
Figure 1 HPLC chromatogram of nifedipine. A. Plasma sample spiked with 5 mL/mL of kaempferol; B. Nifedipine-free plasma; C. Plasma sample spiked with 1000 ng/mL of nifedipine.
Figure 2 from: Strus O, Fedorovska M, Holota S, Polovko N (2021) Development and validation of standardization methods of aqueous sapropel extract. Pharmacia 68(4): 933-939. https://doi.org/10.3897/pharmacia.68.e71783
Figure 2 The dependence of the concentration of the total mass fraction of HA on the mass of the ASE sample.
Figure 1 from: Strus O, Fedorovska M, Holota S, Polovko N (2021) Development and validation of standardization methods of aqueous sapropel extract. Pharmacia 68(4): 933-939. https://doi.org/10.3897/pharmacia.68.e71783
Figure 1 Structures of humic acid basic core (A) and fulvic acid (B). Source: (Wang and Mulligan 2018).
Data from: Estimating bee abundance: Can mark-recapture methods validate common sampling protocols?
<p>Wild bees can be essential pollinators in natural, agricultural, and urban systems, but populations of some species have declined. Efforts to assess the status of wild bees are hindered by uncertainty in common sampling methods, such as pan traps and aerial netting, which may or may not provide a valid index of abundance across species and habitats. Mark-recapture methods are a common and effective means of estimating population size, widely used in vertebrates but rarely applied to bees. Here we review existing mark-recapture studies of wild bees and present a new case study comparing mark-recapture population estimates to pan trap and net capture for four taxa in a wild bee community. Net, but not trap, capture was correlated with abundance estimates across sites and taxa. Logistical limitations ensure that mark-recapture studies will not fully replace other bee sampling methods, but they do provide a feasible way to monitor selected species and measure the performance of other sampling methods.</p>
Figure 5 from: Tzankova D, Peikova L, Vladimirova S, Georgieva M (2019) Development and validation of RP-HPLC method for stability evaluation of model hydrazone, containing a pyrrole ring. Pharmacia 66(3): 127-134. https://doi.org/10.3897/pharmacia.66.e47035
Figure 5 Chromatogram of the separated mixture of the analyzed hydrazone D-5d (tR = 6.800) and its possible degradation products – the hydrazide D-5 (tR = 4.387) and the corresponding aldehyde d (tR = 1.387).
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.