Journal of Pharmaceutical and Biomedical Analysis

ISSN: 0731-7085

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Datasets associated with articles published in Journal of Pharmaceutical and Biomedical Analysis

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  • This data set includes the data for calibration, testing and validation of a model developed at a research laboratory and used to establish blending specifications at a development continuous manufacturing plant. This information would be later on implemented in a continuous manufacturing plant.
    Data Types:
    • Tabular Data
    • Dataset
  • This contains the raw data for the study.
    Data Types:
    • Dataset
    • File Set
  • Raw LC-MS/MS results obtained from optimization experiments
    Data Types:
    • Dataset
    • Document
  • Data Types:
    • Other
    • Dataset
  • Dataset for the article titled 'Electrospun nanofiber-based niflumic acid capsules with superior physicochemical properties'
    Data Types:
    • Tabular Data
    • Dataset
  • Supplemental data containing approved novel synthetic peptide drugs and protein drugs in the western world Source: Drugbank (https://www.drugbank.ca/); FDA; EMA
    Data Types:
    • Tabular Data
    • Dataset
  • Effects of primary drying on residue levels of Chlorpyrifos in vertical slicing of P. Radix. treated with 2-fold and 5-fold of recommended dosage.
    Data Types:
    • Dataset
    • Document
  • Original of the study.
    Data Types:
    • Tabular Data
    • Dataset
  • This excel file is the data used for testing CMM. The compounds here presented were found in Plasma samples and they were identified with the use of available standards.
    Data Types:
    • Tabular Data
    • Dataset
  • Neomycin, an aminoglycoside antibiotic widely used in animal breeding industry, is difficult to detect due to its lack of significant UV absorbance or fluorophore. In this paper, a selective fluorescent sensor was developed to detect neomycin in complex biological samples. Fluorescent molecularly imprinted polymers (fMIPs) containing both imprinted cavity and boronate affinity site were synthesized on the surface of silica modified quantum dots (QDs). The achieved fMIPs exhibited high selectivity to neomycin by having two binding sites for neomycin. The existence of neomycin analogues (competing for the imprinted cavity) and D-glucose (competing for the boronate affinity site) did not affect the selective binding of neomycin to the fMIPs. A selective fluorescent sensor was developed by combining the fMIPs with a fluorescent microplate reader. The sensor could quantify neomycin in a linear range of 2-1000 μg/L with a detection limit of detection as 0.16 μg/L. Trace neomycin in complex biological samples after simple (one step) sample pretreatment, which were not suitable for HPLC-FLD analysis due to the presence of large amounts of interferences, could be quantified accurately by the fMIP sensor. The developed fMIP sensor provides a selective, sensitive, accurate and high through-put solution to detect neomycin in complex biological samples. As far as we known, this is the first report to utilize QDs-based fMIPs with doubly selective binding sites to realize rapid and high through-put neomycin monitoring in complex biological samples.
    Data Types:
    • Tabular Data
    • Dataset
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