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Texture Analysis of Dried Droplets for the Quality Control of Medicines
- Source :
- Sensors (Basel, Switzerland), Sensors, Volume 21, Issue 12, Sensors, Vol 21, Iss 4048, p 4048 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI, 2021.
-
Abstract
- The quality control of medicines guarantees the effectiveness of treatments for diseases. We explore the use of texture analysis of patterns in dried droplets as a tool to readily detect both impurities and changes in drug concentration. Four types of medicines associated with different routes of administration were analyzed: Methotrexate, Ciprofloxacin, Clonazepam, and Budesonide. We use NaCl and a hot substrate at 63 ∘C to promote aggregate formation and to reduce droplet drying time. Depending on the medicine, optical microscopy reveals different complex aggregates such as circular to oval splatters, fern-like islands, crown shapes, crown needle-like and bump-like patterns as well as dendritic branched and star-like crystals. We use some physical features of the stains (as the stain diameter and superficial area) and gray level co-occurrence matrix (GLCM) to characterize patterns of dried droplets. Finally, we show that structural analysis of stains can achieve 95% accuracy in identifying medicines with 30% water dilution, while it achieves 99% accuracy in detecting drugs with 10% other substances.
- Subjects :
- Materials science
TP1-1185
02 engineering and technology
Sodium Chloride
010402 general chemistry
01 natural sciences
Biochemistry
Stain
Article
Analytical Chemistry
law.invention
Matrix (chemical analysis)
Drying time
Optical microscope
law
medicines texture analysis
Texture (crystalline)
Desiccation
Electrical and Electronic Engineering
quality control
Instrumentation
Chromatography
Chemical technology
Water
021001 nanoscience & nanotechnology
Atomic and Molecular Physics, and Optics
0104 chemical sciences
Dilution
Gray level
Drug concentration
Pharmaceutical Preparations
dried droplets
0210 nano-technology
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 21
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- Sensors (Basel, Switzerland)
- Accession number :
- edsair.doi.dedup.....ca0b7518dac90b1a16af98420839f57f