Publications on HPTLC

Researchers from Sazerac Switzerland GmbH and CAMAG demonstrate how HPTLC can reveal the complex composition of spirits such as whisky, rum, gin, and tequila. Using complementary developing solvents and targeted glycerol detection, the method provides rapid screening for authenticity, aging markers, and additives – helping ensure quality control and regulatory compliance in the beverage industry.

A collaborative study by Drs. Flávio L. Beltrame, Wilmer H. Perera, and Evelyn A. de Andrade highlights the use of HPTLC fingerprinting to authenticate morphologically similar Kalanchoe species. With the automated HPTLC PRO System species-specific profiles are obtained and antioxidants such as quercetin and kaempferol derivatives can be identified, offering a robust tool for quality control and standardization of medicinal plants.

Dr. Vicente L. Cebolla and colleagues at the ICB-CSIC at the University of Zaragoza use HPTLC-MS to investigate lipid composition during pennycress seed maturation. Their lipidomic profiling reveals key insights into triacylglycerol biosynthesis relevant to next-generation biofuels. The study showcases HPTLC’s unique role in combining rapid separation with detailed molecular characterization.

At Anchrom Enterprises Pvt. Ltd. in Mumbai, Mr. Parth Trivedi applies HPTLC to detect the illegal dye Rhodamine B in sweets and cosmetics. The study highlights the technique’s reliability in identifying non-permitted substances, ensuring product safety, and supporting regulatory enforcement. HPTLC proves once again to be a fast, cost-effective tool for consumer protection.

This optimized HPTLC method enables sensitive and reliable detection of diethylene glycol and ethylene glycol impurities in oral liquid formulations. With a detection limit as low as 21 ng and clear differentiation from other excipients, the method meets and exceeds regulatory safety thresholds, offering a robust tool for pharmaceutical quality control.

A newly optimized HPTLC method enables simultaneous resolution of 13 flavonoids and anthraquinones from leaves and flowers of seven Cassia species. Offering high specificity, fluorescence detection, and robust derivatization, this approach supports taxonomic differentiation and quality control in herbal drug analysis.

A cutting-edge machine learning system analyzes HPTLC fingerprints to accurately distinguish botanical species and common adulterants. By generating synthetic training data and automating image classification, it eliminates subjective manual comparisons – delivering faster, more reliable results for quality control in herbal products.

A Swiss research team investigates the chemical substances released from tire wear and their potential impact. Using advanced HPTLC bioassays, they identified compounds that may pose a risk to organisms. Get an inside look at cutting-edge research on tire particle toxicity and environmental safety.

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.