Determination of metoprolol in rabbit blood using capillary electrophoresis with laser-induced fluorescence detection

Spatially confining copper nanoclusters in porous ZrO2 for fluorescence/colorimetry/smartphone triple-mode detection of metoprolol tartrate

Sensitive detection of metoprolol tartrate (MPT) is extremely urgent in the therapy of cardiovascular diseases to guarantee the curative effectiveness. Herein, porous ZrO₂ was first employed as a matrix to spatially confine CuNCs (ZrO₂@CuNCs), which simultaneously ameliorated the emission intensity and stability of CuNCs. Benefiting from the inner filter effect (IFE) and dynamic quenching effect (DQE) between ZrO₂@CuNCs and AuNPs and the color fading of AuNPs induced by MPT, fluorometric and colorimetric methods for simple and sensitive determination of MPT were proposed. Besides, to meet the demand of convenient detection of MPT, a portable sensing platform was constructed including a dark box produced by a 3D printer and a smartphone. This method was further employed to determine MPT in human serum and urine samples with satisfactory results with the triple mode. This work is the first attempt to fabricate a multi-mode optical and portable sensor for MPT detection, which provides a novel approach for point-of-care monitoring of drugs in the treatment of diseases.

Chemical Fingerprint Analysis and Simultaneous Determination of Nucleosides and Amino Acids in Kang Fu Xin Liquid by High Performance Liquid Chromatography with Diode Array Detector

Background and Objective:

Kang Fu Xin liquid (KFX) is an official preparation made from the ethanol extract product from P. Americana. The present quality control method cannot control the quality of the preparation well. The aim of the present study is to establish a convenient HPLC method for multicomponents determination combined with fingerprint analysis for quality control of KFX.

Methods:

An HPLC-DAD method with gradient elution and detective wavelength switching program was developed to establish HPLC fingerprints of KFX, and 38 batches of KFX were compared and evaluated by similarity analysis (SA), hierarchical clustering analysis (HCA), and principal component analysis (PCA). Meanwhile, six nucleosides and three amino acids, including uracil, hypoxanthine, uric acid, adenosine, xanthine, inosine, tyrosine, phenylalanine and tryptophan in KFX were determined based on the HPLC fingerprints.

Results:

An HPLC method assisted with gradient elution and wavelength switching program was established and validated for multicomponents determination combined with fingerprint analysis of KFX. The results demonstrated that the similarity values of the KFX samples were more than 0.845. PCA indicated that peaks 4 (hypoxanthine), 7 (xanthine), 9 (tyrosine), 11, 13 and 17 might be the characteristic contributed components. The nine constituents in KFX, uracil, hypoxanthine, uric acid, adenosine, xanthine, inosine, tyrosine, phenylalanine and tryptophan, showed good regression (R2 > 0.9997) within test ranges and the recoveries of the method for all analytes were in the range from 96.74 to 104.24%. The limits of detections and quantifications for nine constituents in DAD were less than 0.22 and 0.43 μg•mL-1, respectively.

Conclusion:

The qualitative analysis of chemical fingerprints and the quantitative analysis of multiple indicators provide a powerful and rational way to control the KFX quality for pharmaceutical companies.