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High-performance thin-layer chromatographic analysis of psoralen in marketed formulations and manufactured solid lipid nanoparticles (SLNs): Validation of the method

Akhtar N., Faiyazuddin Md., Mustafa G., Sultana Y., Baboota S., Ali J.

Acta Chromatographica

2012

Vol. 24, no. 4

603--613

A quantitative method using precoated silica gel-60 Lichrosphere high-performance thin-layer chromatography (HPTLC) plates, automated band wise sample application, and n-hexane:acetone:formic acid (2:1:0.025 υ/υ/υ) as mobile phase, has been developed and validated for the analysis of psoralen in marketed formulations and novel solid lipid nanoparticles (SLNs). Densitometric analysis was performed at 250 nm in absorbance mode. Compact bands of psoralen were obtained at Rf 0.32 ± 0.02. The method was validated for linearity, precision, robustness, sensitivity, specificity, and recovery. Linearity (r2 = 0.995), limit of detection (8.0 ng band-1), limit of quantification (18.1 ng band) -1, recovery (98.06–99.64%), and precision (≤0.74) were satisfactory. Statistical analysis established that the developed method for quantification of psoralen in marketed formulation and from solid lipid nanoparticles is reproducible and selective.

Ternary wavelets and their applications to signal compression

Mustafa G., Chen F., Huang Z.

International Journal of Applied Mathematics and Computer Science

2004

Vol. 14, no 2

233-240

We introduce ternary wavelets, based on an interpolating 4-point C2 ternary stationary subdivision scheme, for compressing fractal-like signals. These wavelets are tightly squeezed and therefore they are more suitable for compressing fractal-like signals. The error in compressing fractal-like signals by ternary wavelets is at most half of that given by four-point wavelets (Wei and Chen, 2002). However, for compressing regular signals we further classify ternary wavelets into 'odd ternary' and 'even ternary' wavelets. Our odd ternary wavelets are better in part for compressing both regular and fractal-like signals than four-point wavelets. These ternary wavelets are locally supported, symmetric and stable. The analysis and synthesis algorithms have linear time complexity.