Application of hyperspectral imaging in the quality control of medicinal plants and products

Balammal G Sekar Babu M Jayachandra Reddy P . Analysis of herbal medicines by modern chromatographic techniques. Int J Preclin Pharm Res 2012; 3: 50–63.

Jadhav RB Patil CR Bhope S et al. Herbal drug standardisation and quality assurance of raw materials: a rational approach. Nat Prod Rad 2003; 2: 134–140.

Kellner R Mizaikoff B Jakusch M et al. Surface-enhanced vibrational spectroscopy: a new tool in chemical IR sensing. Appl Spectrosc 1997; 51: 495–503.

Larkin PJ . IR and Raman spectroscopy: Principles and spectral interpretation, Waltham: Elsevier Inc., 2011.

Gowen AA O’Donnel CP Cullen PJ et al. Hyperspectral imaging – an emerging process analytical tool for food quality and safety control. Trends Food Sci Technol 2007; 18: 590–598.

Millichap JG . Neurotoxicity of star anise tea. Pediatr Neurol Briefs 2004; 18: 84–84.

Vermaak I Viljoen A Lindström SW . Hyperspectral imaging in the quality control of herbal medicines – the case of neurotoxic Japanese star anise. J. Pharm Biomed Anal 2013; 75: 207–213.

Sandasi M Vermaak I Chen W et al. Skullcap and germander: preventing potential toxicity through the application of hyperspectral imaging and multivariate image analysis as a novel quality control method. Planta Med 2014; 28: 1829–1339.

Tankeu S Vermaak I Chen W et al. Differentiation between two “fang chi” herbal medicines, Stephania tetrandra and the nephrotoxic Aristolochia fangchi, using hyperspectral imaging. Phytochemistry 2015; 122: 213–222.

Sandasi M Vermaak I Chen W et al. The application of vibrational spectroscopy techniques in the qualitative assessment of material traded as ginseng. Molecules 2016; 21: 472.

Sandasi M Vermaak I Chen W et al. Hyperspectral imaging and chemometric modeling of Echinacea – a novel approach in the quality control of herbal medicines. Molecules 2014; 19: 13104–13121.

Djokam M Sandasi M Chen W et al. Hyperspectral imaging as a rapid quality control method for herbal tea blends. Appl Sci 2017; 7: 268.