Publications on HPTLC

Unlock precise mushroom identification with HPTLC – a powerful, selective method that separates key compounds for accurate species differentiation. With its specificity, versatility, and ability to spot adulteration, HPTLC sets a new standard in mushroom analysis.

HPTLC is the go-to method for identifying herbal drugs, creating unique chromatographic "fingerprints" based on zone position, color, and intensity. Compliant with Ph. Eur. standards, it ensures precise, reproducible results for reliable herbal analysis.

HPTLC stands out as the ideal solution for oil quality monitoring, offering rapid, user-friendly analysis with low solvent use and simultaneous multi-sample testing. Its adaptability and reproducibility make it perfect for industrial applications.

Discover a breakthrough in identifying Indian propolis types with a fast, eco-friendly, and cost-effective method using HPTLC technology. This innovative approach not only standardizes key neuroprotective components but also enables direct screening of antioxidant and anticholinesterase activities on a single TLC plate. Ideal for rapid chemical profiling, this method holds promise for advancing propolis research and offers beekeepers new revenue opportunities by showcasing its medicinal value.

Chemical warfare agents, categorized by their symptoms, range from nerve disruptors to blistering and irritant agents, posing serious health risks. HPTLC is essential for identifying these agents, enhancing detection and analysis capabilities in military and law enforcement contexts.

This study utilized the HPTLC PRO Module DEVELOPMENT Module to precisely control the gas phase, aiming to achieve accurate separations in complex matrices and match standard RF values closely.

Due to its significant value, saffron is frequently adulterated with lower-quality substances or artificial colorants. HPTLC allows for efficient and cost-effective detection of adulterants and contaminants, enabling the simultaneous analysis of multiple samples.

This study delves into the utilization of software-driven Design of Experiments (DoE) for conducting robustness studies and evaluating methods, with a focus on the European Pharmacopoeia HPTLC method for identifying Arnica flowers (monograph 1391, Ph. Eur. 11.0) as a prime illustration.

Monteverdia ilicifolia is popular for treating gastritis and gastric ulcers in Paraná State, Brazil. An HPTLC PRO method has been developed to analyze commercial samples based on the fingerprint of flavonoids and phenolic acids.

Ashwagandha is a versatile herb with deep roots in traditional and modern herbal medicine. HPTLC efficiently distinguishes pure Ashwagandha from adulterants, ensuring authenticity, purity, and quality.