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575 results for “Quality assessment”
Fig. 7 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe
Fig. 7. Multivariate data analysis (MVDA) of fresh and dried Peruvian ginger samples. A. Principal component analysis (PCA) showed clear separation of fresh and dried ginger samples. B. Orthogonal projections to latent structures discriminant analysis (OPLS-DA) showed clear separation of fresh and dried ginger samples. C. Splot of OPLS-DA. D. VIP scores based on the metabolite data from fresh and dry ginger extracts.
Fig. 9 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe
Fig. 9. [6]-Gingerol (A) and [6]-shogaol (B) contents in μg/g fresh weight (μg/ g FW) among the tested fresh ginger samples using different extraction solvents. Error bars indicate mean ± SE for five replicates. Black asterisks indicate significance difference from the Peruvian samples (*P <0.05, Student's t-test).
Fig. 5 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe
Fig. 5. The influence of geographical distribution of ginger on the gingerols and gingerol-related metabolites. The figure also describes the biosynthetic pathway of [6]-gingerol and hexahydrocurcumin and subsequent transformations. The opposed abundances of the precursors (i.e., phenylalanine and cinnamic acid) and end products (i.e., [6]-gingerol, hexahydrocurcumin, and gingerenone A and B) hypothesize that they have the same biosynthetic pathway.
Fig. 3 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe
Fig. 3. The use of retention time, accurate mass, and co-elution pattern for compound validation. A. Total ion chromatogram (TIC) and extracted ion chromatograms (EIC) of [6]-gingerol measured by UPLC/MS in positive and negative ionization modes. B. Different gingerols within the same class show a retention time pattern according to their chain length. Intra-class variability is shown by XIC in positive ionization mode for the 6, 8 and 10-gingerol. C. Scatter plot representation of different gingerols annotated from the tested samples. The m/z of the loss of water from the protonated adducts is given on the x-axis and the observed RT (min) is given in the y-axis. The plot illustrates how the correlation between elution (RT) and chain length in the annotated gingerols can be used for the prediction of other compounds within the same class.
Fig. 4 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe
Fig. 4. Multivariate data analysis (MVDA) of fresh Ginger samples collected from different localities. A. Principal component analysis (PCA) showed clear separation of geographically different fresh ginger samples. B. VIP scores showing the top 25 metabolites discriminating ginger samples C. Dendrogram of the investigated fresh ginger samples based on the metabolites obtained after MS data analysis.
Fig. 2 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe
Fig. 2. Schematic diagram showing the steps for confident compound identification. The feature with the retention time of 12.94 min and 295.191 m/z, representing 6-gingerol was selected. Total ion chromatogram (TIC) and extracted ion chromatograms (EIC) were measured by UPLC/MS in the positive ionization mode.
Fig. 1 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe
Fig. 1. Experimental design for metabolic profiling of fresh ginger rhizomes collected from different geographical sources and the effect of drying.
Unlocking the genomes of formalin-fixed freshwater fish specimens: An assessment of factors influencing DNA extraction quantity and quality
<p>DNA quality and quantity metrics (Microsoft Excel worksheet with 3 sheets, one per species).</p> <p>We compared two protocols developed to extract DNA from formalin-fixed tissues using specimens of three freshwater fishes: Southern Brook Lamprey <em>Ichthyomyzon gagei</em>, Slimy Sculpin <em>Cottus cognatus</em>, and Brown Trout <em>Salmo trutta</em>. Extractions were attempted using hot alkali digestion with and without buffer wash pretreatments to compare the DNA concentration, purity, and fragment length of DNA recovered between extraction protocols, tissue types (muscle and caudal fin tissue for Brown Trout and Slimy Sculpin), and preservation periods (5 or 7 years for Southern Brook Lamprey).</p> <p>Four metrics were collected: DNA quantity (measured using Qubit 3.0 instrument with dsDNA high sensitivity kit); DNA purity measured by A260/A280 ratio (measured using NanoDrop 2000 spectrophotometer); DNA purity measured by A260/A230 ratio (measured using NanoDrop 2000 spectrophotometer); and percent fragments >= 300 base pairs (measured using ImageJ). For spectrophotometric absorbance ratios, an A260/A280 ratio of 1.8 and an A260/ A230 ratio of 2.0 were considered to represent “pure” DNA (i.e., free of contaminants). For analyses of DNA purity, deviations from 1.8 for the A260/A280 ratio and from 2.0 for the A260/A230 ratio were used as the response variables, such that larger deviation values corresponded to less-pure DNA.</p> <p>Please see attached README.md file for additional information.</p>
Studies on the side effects of methylphenidate in adults diagnosed with ADHD. The risk of bias and study quality assessed with the Effective Public Health Practice Project's Quality Assessment Tool for Quantitative Studies (QATQS) was presented as the global rating for each publication (1 - strong, 2 - moderate, 3 - weak).
<p>The data set contains the analysis of adult studies on ADHD with respect on side effects of methylphenidate. </p>
Assessment of Quality of Life and Psychological Problems in Patients With Multiple Sclerosis
ClinicalTrials.gov study NCT05029830. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Sleep Related Breathing Disorders, Anxiety, Depression and Quality of Life Assessment in Behcet's Disease
ClinicalTrials.gov study NCT05142995. IPD Sharing: NO. Countries: 1. Publications: 3.
Scanning the Meiotic Spindle in Assisted Reproductive Techniques to Assess Oocyte Quality
ClinicalTrials.gov study NCT06539585. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Quality of Life Assessment in Patients With Different Degrees of Pelvic Organ Prolapse
ClinicalTrials.gov study NCT07080203. IPD Sharing: UNDECIDED. Countries: 1. Publications: 9.
A Comparison of Computerised Versus Interviewer-administered Approach for Assessing Health-related Quality of Life
ClinicalTrials.gov study NCT00537264. IPD Sharing: Not stated. Countries: 1. Publications: 1.
the Quality of Life Assessment of Lung Cancer Patients in China
ClinicalTrials.gov study NCT01914120. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Questionnaire Study to Assess Quality of Life After Treatment of Fibroids
ClinicalTrials.gov study NCT00390494. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Validation of a Questionnaire for Quality of Life Assessment in Patients With Transthyretin Amyloidosis.
ClinicalTrials.gov study NCT07080268. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Assessment of Treatment Safety and Quality of Life in Patients Receiving Etanercept Biosimilar for Autoimmune Arthritis
ClinicalTrials.gov study NCT04582084. IPD Sharing: YES. Countries: 1. Publications: 1.
Impact of the Comprehensive Geriatric Assessment on the Quality of Life OF Elderly Patients
ClinicalTrials.gov study NCT04478916. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of the Sensitivity and Specificity of a Novel Quality of Life Tool to Assess the Treatment Satisfaction in Psoriasis Patients
ClinicalTrials.gov study NCT04765332. IPD Sharing: NO. Countries: 2. Publications: 2.
ScienceDex guides
Understand access before you commit
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.