Farah Assadian's research paper describes a dataset likely containing spectrofluorimetric measurements for determining ofloxacin concentration in spiked human urine samples. The dataset likely includes calibration data spanning 5.0-120.0 ng mL-1, with results from multivariate calibration models like OSC-PLS and OSC-PARAFAC. The data was generated using dispersive liquid-liquid microextraction and Box-Behnken design optimization.
Use Cases
- Developing multivariate calibration models based on spectrofluorimetric data matrices
- Optimizing microextraction parameters based on variables like solvent volume, pH, and ionic strength
- Comparing chemometric methods like PLS and PARAFAC based on RMSEP and RSEP metrics
- Validating analytical procedures for drug determination in biological fluids based on reported accuracy and precision
Strengths
- A linear calibration curve was obtained in the 5.0-120.0 ng mL-1 range
- A detection limit of 1.61 ng mL-1 and correlation coefficient of 0.9948 were reported
- A relative standard deviation (RSD) of 1.13% was obtained for seven consecutive replicates
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- Farah Assadian
- Collection Method
- Data likely generated via dispersive liquid-liquid microextraction and spectrofluorimetry.