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288 results for “Method development”
Figure 8 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 8 The calibration graph of bisoprolol fumarate.
Figure 9 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 9 The calibration graph of enalaril maleate.
Figure 2 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 2 Chemical structure of enalapril.
Figure 1 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 1 Chemical structure of bisoprolol fumarate.
Evaluation of non-invasive dsRNA delivery methods for the development of RNA interference in the Asian tiger mosquito Aedes albopictus
<p>The Asian tiger mosquito Aedes albopictusis one of the most invasive species and an efficient vector of<br>several pathogens. RNA interference (RNAi) has been proposed as an alternative method to control<br>mosquito populations by silencing the expression of genes that are essential for their survival. However,<br>the optimal delivery method for dsRNAs to enhance an optimal RNAi remains elusive and comparative<br>studies are lacking. We have, therefore, compared the efficiency of three non-invasive delivery methods to<br>mosquito larvae: soaking, rehydration and nanoparticle ingestion. Each method was tested separately on<br>four genes predicted to code non-essential proteins (i.e. collagenase-like, kynurenine 3-monooxygenaselike, yellow-like and venom serine protease-like) in order to be able to compare the importance of gene<br>knock-down.<br>All tested methods successfully downregulated mosquito gene expression. However, silencing efficiency<br>strongly varies among methods and genes. Silencing (95.1%) was higher for Kynurenine 3-<br>monooxygenase-like with rehydration and nanoparticle ingestion (61.1%). For the Venom serine proteaselike, the most efficient silencing was observed with soaking (74.5%) and rehydration (34%). In contrast,<br>the selected methods are inefficient to silence the other genes. Our findings also indicate that gene copy<br>numbers, transcript sizes and GC content correlate with the silencing efficiency.<br>From our results, rehydration was the most specific and efficient methods to specifically knock-down<br>gene expression in Ae. albopictus larvae. Nevertheless, considering the observed variability of efficiency is<br>gene-dependent, our results also point at the necessity to test and optimize diverse dsRNA delivery<br>approaches to achieve a maximal RNAi efficiency.</p>
Figure 2 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 2 Calibration plot of nifedipine in plasma.
Figure 3 from: Mateeva A, Peikova L, Kondeva-Burdina M, Georgieva M (2022) Development of new HPLC method for identification of metabolic degradation of N-pyrrolylhydrazide hydrazones with determined MAO- B activity in cellular cultures. Pharmacia 69(1): 15-20. https://doi.org/10.3897/pharmacia.69.e78417
Figure 3 Chromatogram demonstrating the hepatocytic metabolism of analyte at 120th min.
Figure 1 from: Mateeva A, Peikova L, Kondeva-Burdina M, Georgieva M (2022) Development of new HPLC method for identification of metabolic degradation of N-pyrrolylhydrazide hydrazones with determined MAO- B activity in cellular cultures. Pharmacia 69(1): 15-20. https://doi.org/10.3897/pharmacia.69.e78417
Figure 1 Structure of the evaluated pyrrole hydazide-hydrazone.
Scheme 1 from: Mateeva A, Peikova L, Kondeva-Burdina M, Georgieva M (2022) Development of new HPLC method for identification of metabolic degradation of N-pyrrolylhydrazide hydrazones with determined MAO- B activity in cellular cultures. Pharmacia 69(1): 15-20. https://doi.org/10.3897/pharmacia.69.e78417
Scheme 1 Hydrolysis of evaluated pyrrole hydrazide-hydrazone in different pH media.
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.
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.
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.
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.
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.
Figure 3 from: Tzankova D, Mateeva A, Mitkov J, Peikova L, Georgieva M (2022) Development and validation of RP-HPLC method for analytical characterization of the anabolic steroid Methenolone acetate in food supplements. Pharmacia 69(1): 151-155. https://doi.org/10.3897/pharmacia.69.e78176
Figure 3 Chromatogram of Methenolone standard solution.
Figure 2 from: Tzankova D, Mateeva A, Mitkov J, Peikova L, Georgieva M (2022) Development and validation of RP-HPLC method for analytical characterization of the anabolic steroid Methenolone acetate in food supplements. Pharmacia 69(1): 151-155. https://doi.org/10.3897/pharmacia.69.e78176
Figure 2 Linearity of the developed RP-HPLC method.
Figure 5 from: Tzankova D, Mateeva A, Mitkov J, Peikova L, Georgieva M (2022) Development and validation of RP-HPLC method for analytical characterization of the anabolic steroid Methenolone acetate in food supplements. Pharmacia 69(1): 151-155. https://doi.org/10.3897/pharmacia.69.e78176
Figure 5 Chromatogram of test solution.
Figure 4 from: Tzankova D, Mateeva A, Mitkov J, Peikova L, Georgieva M (2022) Development and validation of RP-HPLC method for analytical characterization of the anabolic steroid Methenolone acetate in food supplements. Pharmacia 69(1): 151-155. https://doi.org/10.3897/pharmacia.69.e78176
Figure 4 Chromatogram of Methenolone acetate standard solution.
Figure 1 from: Tzankova D, Mateeva A, Mitkov J, Peikova L, Georgieva M (2022) Development and validation of RP-HPLC method for analytical characterization of the anabolic steroid Methenolone acetate in food supplements. Pharmacia 69(1): 151-155. https://doi.org/10.3897/pharmacia.69.e78176
Figure 1 Structure of Methenolone.
Figure 3 from: Peikova L, Tzankova D, Dineva A, Georgieva M, Zlatkov A (2019) Development of a chiral RP-HPLC method for identification of stereomers of newly synthesized xanthine-based hydrazide-hydrazone compound. Pharmacia 66(1): 1-6. https://doi.org/10.3897/pharmacia.66.e35643
Figure 3 Linearity of the developed chiral RP-HPLC method.
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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.
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.