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A novel approach in herbal quality control using hyperspectral imaging: discriminating between Sceletium tortuosum and Sceletium crassicaule.
Phytochem Anal. 2013 Nov-Dec; 24(6):550-5.PA

Abstract

INTRODUCTION

Sceletium tortuosum is the most sought after species of the genus Sceletium and is commonly included in commercial products for the treatment of psychiatric conditions and neurodegenerative diseases. However, this species exhibits several morphological and phytochemical similarities to S. crassicaule.

OBJECTIVES

The aim of this investigation was to use ultrahigh-performance liquid chromatography (UPLC) and hyperspectral imaging, in combination with chemometrics, to distinguish between S. tortuosum and S. crassicaule, and to accurately predict the identity of specimens of both species.

METHODS

Chromatographic profiles of S. tortuosum and S. crassicaule specimens were obtained using UPLC with photodiode array detection. A SisuChema near infrared hyperspectral imaging camera was used for acquiring images of the specimens and the data was processed using chemometric computations.

RESULTS

Chromatographic data for the specimens revealed that both species produce the psychoactive alkaloids that are used as quality control biomarkers. Principal component analysis of the hyperspectral image of reference specimens for the two species yielded two distinct clusters, the one representing S. tortuosum and the other representing S. crassicaule. A partial least squares discriminant analysis model correctly predicted the identity of an external dataset consisting of S. tortuosum or S. crassicaule samples with high accuracy (>94%).

CONCLUSIONS

A combination of hyperspectral imaging and chemometrics offers several advantages over conventional chromatographic profiling when used to distinguish S. tortuosum from S. crassicaule. In addition, the constructed chemometric model can reliably predict the identity of samples of both species from an external dataset.

Authors+Show Affiliations

Department of Chemistry, Tshwane University of Technology, Private Bag X680, Pretoria, 0001, South Africa.No affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

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

Language

eng

PubMed ID

23592330

Citation

Shikanga, Emmanuel Amukohe, et al. "A Novel Approach in Herbal Quality Control Using Hyperspectral Imaging: Discriminating Between Sceletium Tortuosum and Sceletium Crassicaule." Phytochemical Analysis : PCA, vol. 24, no. 6, 2013, pp. 550-5.
Shikanga EA, Viljoen AM, Vermaak I, et al. A novel approach in herbal quality control using hyperspectral imaging: discriminating between Sceletium tortuosum and Sceletium crassicaule. Phytochem Anal. 2013;24(6):550-5.
Shikanga, E. A., Viljoen, A. M., Vermaak, I., & Combrinck, S. (2013). A novel approach in herbal quality control using hyperspectral imaging: discriminating between Sceletium tortuosum and Sceletium crassicaule. Phytochemical Analysis : PCA, 24(6), 550-5. https://doi.org/10.1002/pca.2431
Shikanga EA, et al. A Novel Approach in Herbal Quality Control Using Hyperspectral Imaging: Discriminating Between Sceletium Tortuosum and Sceletium Crassicaule. Phytochem Anal. 2013 Nov-Dec;24(6):550-5. PubMed PMID: 23592330.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A novel approach in herbal quality control using hyperspectral imaging: discriminating between Sceletium tortuosum and Sceletium crassicaule. AU - Shikanga,Emmanuel Amukohe, AU - Viljoen,Alvaro M, AU - Vermaak,Ilze, AU - Combrinck,Sandra, Y1 - 2013/04/17/ PY - 2012/11/04/received PY - 2013/01/28/revised PY - 2013/01/30/accepted PY - 2013/4/18/entrez PY - 2013/4/18/pubmed PY - 2014/5/30/medline KW - Chemometrics KW - PCA KW - PLS-DA KW - Sceletium crassicaule KW - Sceletium tortuosum KW - hyperspectral imaging SP - 550 EP - 5 JF - Phytochemical analysis : PCA JO - Phytochem Anal VL - 24 IS - 6 N2 - INTRODUCTION: Sceletium tortuosum is the most sought after species of the genus Sceletium and is commonly included in commercial products for the treatment of psychiatric conditions and neurodegenerative diseases. However, this species exhibits several morphological and phytochemical similarities to S. crassicaule. OBJECTIVES: The aim of this investigation was to use ultrahigh-performance liquid chromatography (UPLC) and hyperspectral imaging, in combination with chemometrics, to distinguish between S. tortuosum and S. crassicaule, and to accurately predict the identity of specimens of both species. METHODS: Chromatographic profiles of S. tortuosum and S. crassicaule specimens were obtained using UPLC with photodiode array detection. A SisuChema near infrared hyperspectral imaging camera was used for acquiring images of the specimens and the data was processed using chemometric computations. RESULTS: Chromatographic data for the specimens revealed that both species produce the psychoactive alkaloids that are used as quality control biomarkers. Principal component analysis of the hyperspectral image of reference specimens for the two species yielded two distinct clusters, the one representing S. tortuosum and the other representing S. crassicaule. A partial least squares discriminant analysis model correctly predicted the identity of an external dataset consisting of S. tortuosum or S. crassicaule samples with high accuracy (>94%). CONCLUSIONS: A combination of hyperspectral imaging and chemometrics offers several advantages over conventional chromatographic profiling when used to distinguish S. tortuosum from S. crassicaule. In addition, the constructed chemometric model can reliably predict the identity of samples of both species from an external dataset. SN - 1099-1565 UR - https://www.unboundmedicine.com/medline/citation/23592330/A_novel_approach_in_herbal_quality_control_using_hyperspectral_imaging:_discriminating_between_Sceletium_tortuosum_and_Sceletium_crassicaule_ L2 - https://doi.org/10.1002/pca.2431 DB - PRIME DP - Unbound Medicine ER -