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Li S, Zhang H, Huang Z, Jia Q. Spatially confining copper nanoclusters in porous ZrO2 for fluorescence/colorimetry/smartphone triple-mode detection of metoprolol tartrate. Biosens Bioelectron 2023; 231:115290. [PMID: 37031506 DOI: 10.1016/j.bios.2023.115290] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 03/27/2023] [Accepted: 03/30/2023] [Indexed: 04/08/2023]
Abstract
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.
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Wang Y, Li S, Zhang L, Qi S, Guan H, Liu W, Cheng X, Liu L, Cheng L, Wang C. 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. CURR PHARM ANAL 2020. [DOI: 10.2174/1573412915666190328215231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
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.
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Affiliation(s)
- Yuwen Wang
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shuping Li
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Liuhong Zhang
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shenglan Qi
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Huida Guan
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wei Liu
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xuemei Cheng
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Li Liu
- Inner Mongolia Jingxin Pharmaceutical Co., Ltd, Innermongolia, China
| | - Liang Cheng
- Inner Mongolia Jingxin Pharmaceutical Co., Ltd, Innermongolia, China
| | - Changhong Wang
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Nezhadali A, Mojarrab M. Computational design and multivariate optimization of an electrochemical metoprolol sensor based on molecular imprinting in combination with carbon nanotubes. Anal Chim Acta 2016; 924:86-98. [DOI: 10.1016/j.aca.2016.04.017] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2016] [Revised: 04/09/2016] [Accepted: 04/14/2016] [Indexed: 12/11/2022]
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Alnajjar AO, Idris AM, Attimarad MV, Aldughaish AM, Elgorashe REE. Capillary Electrophoresis Assay Method for Metoprolol and Hydrochlorothiazide in their Combined Dosage Form with Multivariate Optimization. J Chromatogr Sci 2012; 51:92-7. [DOI: 10.1093/chromsci/bms107] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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