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Hyperspectral imaging in the quality control of herbal medicines - the case of neurotoxic Japanese star anise.
J Pharm Biomed Anal. 2013 Mar 05; 75:207-13.JP

Abstract

Illicium verum (Chinese star anise) dried fruit is popularly used as a remedy to treat infant colic. However, instances of life-threatening adverse events in infants have been recorded after use, in some cases due to substitution and/or adulteration of I. verum with Illicium anisatum (Japanese star anise), which is toxic. It is evident that rapid and efficient quality control methods are of utmost importance to prevent re-occurrence of such dire consequences. The potential of short wave infrared (SWIR) hyperspectral imaging and image analysis as a rapid quality control method to distinguish between I. anisatum and I. verum whole dried fruit was investigated. Images were acquired using a sisuChema SWIR hyperspectral pushbroom imaging system with a spectral range of 920-2514 nm. Principal component analysis (PCA) was applied to the images to reduce the high dimensionality of the data, remove unwanted background and to visualise the data. A classification model with 4 principal components and an R²X_cum of 0.84 and R²Y_cum of 0.81 was developed for the 2 species using partial least squares discriminant analysis (PLS-DA). The model was subsequently used to accurately predict the identity of I. anisatum (98.42%) and I. verum (97.85%) introduced into the model as an external dataset. The results show that SWIR hyperspectral imaging is an objective and non-destructive quality control method that can be successfully used to identify whole dried fruit of I. anisatum and I. verum. In addition, this method has the potential to detect I. anisatum whole dried fruits within large batches of I. verum through upscaling to a conveyor belt system.

Authors+Show Affiliations

Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa.No affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

23277152

Citation

Vermaak, Ilze, et al. "Hyperspectral Imaging in the Quality Control of Herbal Medicines - the Case of Neurotoxic Japanese Star Anise." Journal of Pharmaceutical and Biomedical Analysis, vol. 75, 2013, pp. 207-13.
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;75:207-13.
Vermaak, I., Viljoen, A., & Lindström, S. W. (2013). Hyperspectral imaging in the quality control of herbal medicines - the case of neurotoxic Japanese star anise. Journal of Pharmaceutical and Biomedical Analysis, 75, 207-13. https://doi.org/10.1016/j.jpba.2012.11.039
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 Mar 5;75:207-13. PubMed PMID: 23277152.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Hyperspectral imaging in the quality control of herbal medicines - the case of neurotoxic Japanese star anise. AU - Vermaak,Ilze, AU - Viljoen,Alvaro, AU - Lindström,Susanne Wiklund, Y1 - 2012/12/07/ PY - 2012/07/30/received PY - 2012/11/24/revised PY - 2012/11/27/accepted PY - 2013/1/2/entrez PY - 2013/1/2/pubmed PY - 2013/7/5/medline SP - 207 EP - 13 JF - Journal of pharmaceutical and biomedical analysis JO - J Pharm Biomed Anal VL - 75 N2 - Illicium verum (Chinese star anise) dried fruit is popularly used as a remedy to treat infant colic. However, instances of life-threatening adverse events in infants have been recorded after use, in some cases due to substitution and/or adulteration of I. verum with Illicium anisatum (Japanese star anise), which is toxic. It is evident that rapid and efficient quality control methods are of utmost importance to prevent re-occurrence of such dire consequences. The potential of short wave infrared (SWIR) hyperspectral imaging and image analysis as a rapid quality control method to distinguish between I. anisatum and I. verum whole dried fruit was investigated. Images were acquired using a sisuChema SWIR hyperspectral pushbroom imaging system with a spectral range of 920-2514 nm. Principal component analysis (PCA) was applied to the images to reduce the high dimensionality of the data, remove unwanted background and to visualise the data. A classification model with 4 principal components and an R²X_cum of 0.84 and R²Y_cum of 0.81 was developed for the 2 species using partial least squares discriminant analysis (PLS-DA). The model was subsequently used to accurately predict the identity of I. anisatum (98.42%) and I. verum (97.85%) introduced into the model as an external dataset. The results show that SWIR hyperspectral imaging is an objective and non-destructive quality control method that can be successfully used to identify whole dried fruit of I. anisatum and I. verum. In addition, this method has the potential to detect I. anisatum whole dried fruits within large batches of I. verum through upscaling to a conveyor belt system. SN - 1873-264X UR - https://www.unboundmedicine.com/medline/citation/23277152/Hyperspectral_imaging_in_the_quality_control_of_herbal_medicines___the_case_of_neurotoxic_Japanese_star_anise_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0731-7085(12)00654-1 DB - PRIME DP - Unbound Medicine ER -