研究目的
Developing a fast and reliable method using Laser Desorption/Ionization-Mass Spectrometry Imaging (LDI-MSI) for targeted and untargeted differentiation and assessment of pharmaceutical formulations, specifically to identify falsified and adulterated medicines, with sildenafil citrate as a proof of concept.
研究成果
The LDI-MSI approach combined with multivariate analysis effectively differentiates pharmaceutical formulations, providing specific markers for fast screening of falsified medicines. It offers high sensitivity and specificity with minimal sample preparation, making it suitable for forensic and quality control applications.
研究不足
The method may have limitations in absolute quantification due to signal intensity variations and potential ion suppression. It relies on specific equipment and software, which may not be universally available. The approach is demonstrated on sildenafil and may require validation for other APIs.
1:Experimental Design and Method Selection:
The study employs LDI-MSI for direct and semi-quantitative analysis with minimal sample preparation, using multivariate data analysis (PLS-DA and HCA) to differentiate formulations based on spectral profiles.
2:Sample Selection and Data Sources:
Sildenafil citrate tablets from six manufacturers (one reference, four generic, one unlicensed) were purchased, with three batches per manufacturer and five replicates per tablet.
3:List of Experimental Equipment and Materials:
Includes TLC silica gel 60G plates, methanol, formic acid, PVDF membrane, MALDI LTQ-XL mass spectrometer, ESI-LTQ-XL Orbitrap Discovery mass spectrometer, and software like Image Quest, ImageJ, Mass Frontier, and MetaboAnalyst 4.
4:Experimental Procedures and Operational Workflow:
0. 4. Experimental Procedures and Operational Workflow: Tablets were smeared onto activated TLC plates and analyzed via LDI-MSI without matrix addition. HRMS analysis involved dilution in methanol, filtration, and direct infusion. Data processing included spectral analysis, semi-quantification by MSI, and statistical tests (ANOVA, PLS-DA, HCA).
5:Data Analysis Methods:
Statistical analysis included one-way ANOVA after normality check, PLS-DA for feature selection, and HCA for clustering. Semi-quantification used ImageJ for intensity measurements, and structure elucidation used Mass Frontier and PubChem.
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Methanol
34860
Sigma-Aldrich
Used as a solvent for diluting tablet samples in HRMS analysis.
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Formic acid
F0507
Sigma-Aldrich
Added to the sample solution for acidification in HRMS analysis.
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MALDI LTQ-XL
LTQ-XL
Thermo Scientific
Mass spectrometer used for LDI-MSI data acquisition.
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ESI-LTQ-XL Orbitrap Discovery
LTQ-XL Orbitrap Discovery
Thermo Scientific
High-resolution mass spectrometer used for confirmatory HRMS analysis.
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Mass Frontier
v. 6.0
Thermo Scientific
Software used for structure elucidation and theoretical calculation of mass spectra.
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TLC silica gel 60G plate
60G
Merck
Used as a substrate for smearing tablet samples for LDI-MSI analysis.
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PVDF membrane
0.22-μm
Used for filtering the sample solution in HRMS analysis.
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Image Quest
Thermo Scientific
Software used for processing chemical images from MSI data.
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ImageJ
National Institutes of Health
Open-source software used for semi-quantification by converting standardized areas to non-dimensional values.
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MetaboAnalyst
4.0
Online platform used for multivariate discriminant analysis (PLS-DA) and hierarchical clustering analysis (HCA).
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