Greenness-by-design approach for developing novel UV spectrophotometric methodologies resolving a quaternary...

Area of Science:

• Analytical Chemistry
• Green Chemistry
• Pharmaceutical Analysis

Background:

• Greenness-by-Design (GbD) principles are crucial for developing environmentally sustainable analytical methods.
• Pharmaceutical analysis often involves complex mixtures requiring robust and efficient resolution techniques.
• Traditional methods may have significant environmental footprints due to solvent usage and waste generation.

Purpose of the Study:

• To apply Greenness-by-Design (GbD) principles to develop a novel analytical method for resolving a quaternary pharmaceutical mixture.
• To optimize spectral resolution and minimize environmental impact using computational solvent analysis.
• To validate the developed method for accuracy, efficiency, and eco-friendliness in analyzing polypill products.

Main Methods:

• Application of a novel univariate double divisor corrected amplitude (DDCA) method.
• Utilized a genetic algorithm for chemometric modeling and informative variable selection.
• Employed computational approaches to study solvent effects on spectral resolution and minimize interferences.

Main Results:

• Successfully resolved a quaternary pharmaceutical mixture in a fixed-dose polypill product.
• Developed accurate and efficient predictive models with wide linear concentration ranges for losartan, atorvastatin, aspirin, and atenolol.
• Achieved high scores on hexagon and spider charts, confirming the method's eco-friendliness and minimal analytical effort.

Conclusions:

• The Greenness-by-Design approach, coupled with DDCA and genetic algorithms, provides an effective strategy for analyzing complex pharmaceutical mixtures.
• The developed method demonstrates high accuracy, efficiency, and a significantly reduced ecological footprint.
• This study highlights the successful integration of green chemistry principles into analytical method development for pharmaceutical quality control.