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133 results for “quantitative methods”

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zenodo24/100

Figure 2 from: Logoyda L, Herasymiuk M, Popovych D, Pidruchna S, Hlushok V, Herasymiuk N, Zarivna N (2020) HPLC MS/MS method development for the quantitative determination of verapamil hydrochloride from Caco-2 cell monolayers. Pharmacia 67(2): 63-69. https://doi.org/10.3897/pharmacia.67.e48896

Figure 2 Gradient curve.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 1 from: Logoyda L, Herasymiuk M, Popovych D, Pidruchna S, Hlushok V, Herasymiuk N, Zarivna N (2020) HPLC MS/MS method development for the quantitative determination of verapamil hydrochloride from Caco-2 cell monolayers. Pharmacia 67(2): 63-69. https://doi.org/10.3897/pharmacia.67.e48896

Figure 1 Chemical structure of verapamil.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 1 from: Logoyda L (2020) HPLC-MS/MS method development for the quantitative determination of nifedipine for Caco-2 permeability assay. Pharmacia 67(2): 83-88. https://doi.org/10.3897/pharmacia.67.e50159

Figure 1 The chemical structure of nifedipine.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 4 from: Logoyda L (2020) HPLC-MS/MS method development for the quantitative determination of nifedipine for Caco-2 permeability assay. Pharmacia 67(2): 83-88. https://doi.org/10.3897/pharmacia.67.e50159

Figure 4 Thecalibration curve of nifedipine in human plasma.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 3 from: Logoyda L, Herasymiuk M, Popovych D, Pidruchna S, Hlushok V, Herasymiuk N, Zarivna N (2020) HPLC MS/MS method development for the quantitative determination of verapamil hydrochloride from Caco-2 cell monolayers. Pharmacia 67(2): 63-69. https://doi.org/10.3897/pharmacia.67.e48896

Figure 3 Typical multiple reaction monitoring chromatograms of verapamil.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 4 from: Sharmin S, Sohrab MH, Moni F, Afroz F, Rony SR, Akhter S (2020) Simple RP-HPLC method for Aceclofenac quantitative analysis in pharmaceutical tablets. Pharmacia 67(4): 383-391. https://doi.org/10.3897/pharmacia.67.e57981

Figure 4 Sensitivity Study.

opencc-by-4.0Dec 2020View details →
zenodo24/100

Figure 3 from: Sharmin S, Sohrab MH, Moni F, Afroz F, Rony SR, Akhter S (2020) Simple RP-HPLC method for Aceclofenac quantitative analysis in pharmaceutical tablets. Pharmacia 67(4): 383-391. https://doi.org/10.3897/pharmacia.67.e57981

Figure 3 Calibration curve of linearity Study.

opencc-by-4.0Dec 2020View details →
zenodo24/100

Figure 5 from: Sharmin S, Sohrab MH, Moni F, Afroz F, Rony SR, Akhter S (2020) Simple RP-HPLC method for Aceclofenac quantitative analysis in pharmaceutical tablets. Pharmacia 67(4): 383-391. https://doi.org/10.3897/pharmacia.67.e57981

Figure 5 Specifity study-response of the standard, sample, excipient and mobile phase.

opencc-by-4.0Dec 2020View details →
zenodo24/100

Figure 2 from: Sharmin S, Sohrab MH, Moni F, Afroz F, Rony SR, Akhter S (2020) Simple RP-HPLC method for Aceclofenac quantitative analysis in pharmaceutical tablets. Pharmacia 67(4): 383-391. https://doi.org/10.3897/pharmacia.67.e57981

Figure 2 Absorbance maxima of Aceclofenac.

opencc-by-4.0Dec 2020View details →
zenodo24/100

Figure 1 from: Sharmin S, Sohrab MH, Moni F, Afroz F, Rony SR, Akhter S (2020) Simple RP-HPLC method for Aceclofenac quantitative analysis in pharmaceutical tablets. Pharmacia 67(4): 383-391. https://doi.org/10.3897/pharmacia.67.e57981

Figure 1 Aceclofenac.

opencc-by-4.0Dec 2020View details →
zenodo24/100

Figure 4 from: Logoyda L, Piponski M, Kovalenko S, Dutchak O, Denefil O, Soroka Y, Pidruchna S, Popovych D, Susla O (2021) Method development for the quantitative determination of captopril from Caco-2 cell monolayers by using LC-MS/MS. Pharmacia 68(1): 61-67. https://doi.org/10.3897/pharmacia.68.e52077

Figure 4 The calibration curve of captopril.

opencc-by-4.0Jan 2021View details →
zenodo24/100

Figure 3 from: Logoyda L, Piponski M, Kovalenko S, Dutchak O, Denefil O, Soroka Y, Pidruchna S, Popovych D, Susla O (2021) Method development for the quantitative determination of captopril from Caco-2 cell monolayers by using LC-MS/MS. Pharmacia 68(1): 61-67. https://doi.org/10.3897/pharmacia.68.e52077

Figure 3 Typical multiple reaction monitoring chromatograms of captopril.

opencc-by-4.0Jan 2021View details →
zenodo24/100

Figure 2 from: Logoyda L, Piponski M, Kovalenko S, Dutchak O, Denefil O, Soroka Y, Pidruchna S, Popovych D, Susla O (2021) Method development for the quantitative determination of captopril from Caco-2 cell monolayers by using LC-MS/MS. Pharmacia 68(1): 61-67. https://doi.org/10.3897/pharmacia.68.e52077

Figure 2 Gradient curve.

opencc-by-4.0Jan 2021View details →
zenodo24/100

Figure 1 from: Logoyda L, Piponski M, Kovalenko S, Dutchak O, Denefil O, Soroka Y, Pidruchna S, Popovych D, Susla O (2021) Method development for the quantitative determination of captopril from Caco-2 cell monolayers by using LC-MS/MS. Pharmacia 68(1): 61-67. https://doi.org/10.3897/pharmacia.68.e52077

Figure 1 Chemical structure of captopril.

opencc-by-4.0Jan 2021View details →
dryad24/100

Data from: Assessment of intrathecal free light chain synthesis: comparison of different quantitative methods with the detection of oligoclonal free light chains by isoelectric focusing and affinity-mediated immunoblotting

Objectives: We aimed to compare various methods for free light chain (fLC) quantitation in cerebrospinal fluid (CSF) and serum and to determine whether quantitative CSF measurements could reliably predict intrathecal fLC synthesis. In addition, we wished to determine the relationship between free kappa and free lambda light chain concentrations in CSF and serum in various disease groups. Methods: We analysed 166 paired CSF and serum samples by at least one of the following methods: turbidimetry (Freelite™, SPAPLUS), nephelometry (N Latex FLC™, BN ProSpec), and two different (commercially available and in-house developed) sandwich ELISAs. The results were compared with oligoclonal fLC detected by affinity-mediated immunoblotting after isoelectric focusing. Results: Although the correlations between quantitative methods were good, both proportional and systematic differences were discerned. However, no major differences were observed in the prediction of positive oligoclonal fLC test. Surprisingly, CSF free kappa/free lambda light chain ratios were lower than those in serum in about 75% of samples with negative oligoclonal fLC test. In about a half of patients with multiple sclerosis and clinically isolated syndrome, profoundly increased free kappa/free lambda light chain ratios were found in the CSF. Conclusions: Our results show that using appropriate method-specific cut-offs, different methods of CSF fLC quantitation can be used for the prediction of intrathecal fLC synthesis. The reason for unexpectedly low free kappa/free lambda light chain ratios in normal CSFs remains to be elucidated. Whereas CSF free kappa light chain concentration is increased in most patients with multiple sclerosis and clinically isolated syndrome, CSF free lambda light chain values show large interindividual variability in these patients and should be investigated further for possible immunopathological and prognostic significance.

opencc-zeroDec 2015View details →
zenodo24/100

Figure 2 from: Kirakosyan VG, Tsaturyan AH, Poghosyan LE, Minasyan EV, Petrosyan HR, Sahakyan LY, Sargsyan TH (2022) Detection and development of a quantitation method for undeclared compounds in antidiabetic biologically active additives and its validation by high performance liquid chromatography. Pharmacia 69(1): 45-50. https://doi.org/10.3897/pharmacia.69.e76247

Figure 2 Method selectivity.

opencc-by-4.0Jan 2022View details →
zenodo24/100

Figure 3 from: Kirakosyan VG, Tsaturyan AH, Poghosyan LE, Minasyan EV, Petrosyan HR, Sahakyan LY, Sargsyan TH (2022) Detection and development of a quantitation method for undeclared compounds in antidiabetic biologically active additives and its validation by high performance liquid chromatography. Pharmacia 69(1): 45-50. https://doi.org/10.3897/pharmacia.69.e76247

Figure 3 Calibration curves of 1-Gliclazide, 2-Glibenclamide, 3-Glimepiride and 4-Metformin.

opencc-by-4.0Jan 2022View details →
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Figure 1 from: Kirakosyan VG, Tsaturyan AH, Poghosyan LE, Minasyan EV, Petrosyan HR, Sahakyan LY, Sargsyan TH (2022) Detection and development of a quantitation method for undeclared compounds in antidiabetic biologically active additives and its validation by high performance liquid chromatography. Pharmacia 69(1): 45-50. https://doi.org/10.3897/pharmacia.69.e76247

Figure 1 Chromatogram of a standard mixture.

opencc-by-4.0Jan 2022View details →
zenodo24/100

Figure 5 from: Kirakosyan VG, Tsaturyan AH, Poghosyan LE, Minasyan EV, Petrosyan HR, Sahakyan LY, Sargsyan TH (2022) Detection and development of a quantitation method for undeclared compounds in antidiabetic biologically active additives and its validation by high performance liquid chromatography. Pharmacia 69(1): 45-50. https://doi.org/10.3897/pharmacia.69.e76247

Figure 5 "Sugar Balance" sample injection chromatogram.

opencc-by-4.0Jan 2022View details →
zenodo24/100

Figure 4 from: Kirakosyan VG, Tsaturyan AH, Poghosyan LE, Minasyan EV, Petrosyan HR, Sahakyan LY, Sargsyan TH (2022) Detection and development of a quantitation method for undeclared compounds in antidiabetic biologically active additives and its validation by high performance liquid chromatography. Pharmacia 69(1): 45-50. https://doi.org/10.3897/pharmacia.69.e76247

Figure 4 "Dialevel" sample injection chromatogram.

opencc-by-4.0Jan 2022View details →

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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.

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Last verified 2026-04-30Open record

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.

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Last verified 2026-04-30Open record

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.

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Last verified 2026-04-30Open record

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.

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Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record