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Hyperspectral Imaging and Support Vector Machine: A Powerful Combination to Differentiate Black Cohosh (Actaea racemosa) from Other Cohosh Species.
Planta Med. 2018 Apr; 84(6-07):407-419.PM

Abstract

Actaea racemosa (black cohosh) has a history of traditional use in the treatment of general gynecological problems. However, the plant is known to be vulnerable to adulteration with other cohosh species. This study evaluated the use of shortwave infrared hyperspectral imaging (SWIR-HSI) in tandem with chemometric data analysis as a fast alternative method for the discrimination of four cohosh species (Actaea racemosa, Actaea podocarpa, Actaea pachypoda, Actaea cimicifuga) and 36 commercial products labelled as black cohosh. The raw material and commercial products were analyzed using SWIR-HSI and ultra-high-performance liquid chromatography coupled to mass spectrometry (UHPLC-MS) followed by chemometric modeling. From SWIR-HSI data (920 - 2514 nm), the range containing the discriminating information of the four species was identified as 1204 - 1480 nm using Matlab software. After reduction of the data set range, partial least squares discriminant analysis (PLS-DA) and support vector machine discriminant analysis (SVM-DA) models with coefficients of determination (R2) of ≥ 0.8 were created. The novel SVM-DA model showed better predictions and was used to predict the commercial product content. Seven out of 36 commercial products were recognized by the SVM-DA model as being true black cohosh while 29 products indicated adulteration. Analysis of the UHPLC-MS data demonstrated that six commercial products could be authentic black cohosh. This was confirmed using the fragmentation patterns of three black cohosh markers (cimiracemoside C; 12-β,21-dihydroxycimigenol-3-O-L-arabinoside; and 24-O-acetylhydroshengmanol-3-O-β-D-xylopyranoside). SWIR-HSI in conjunction with chemometric tools (SVM-DA) could identify 80% adulteration of commercial products labelled as black cohosh.

Authors+Show Affiliations

Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa. SAMRC Herbal Drugs Research Unit, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa. SAMRC Herbal Drugs Research Unit, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

28985643

Citation

Tankeu, Sidonie, et al. "Hyperspectral Imaging and Support Vector Machine: a Powerful Combination to Differentiate Black Cohosh (Actaea Racemosa) From Other Cohosh Species." Planta Medica, vol. 84, no. 6-07, 2018, pp. 407-419.
Tankeu S, Vermaak I, Chen W, et al. Hyperspectral Imaging and Support Vector Machine: A Powerful Combination to Differentiate Black Cohosh (Actaea racemosa) from Other Cohosh Species. Planta Med. 2018;84(6-07):407-419.
Tankeu, S., Vermaak, I., Chen, W., Sandasi, M., Kamatou, G., & Viljoen, A. (2018). Hyperspectral Imaging and Support Vector Machine: A Powerful Combination to Differentiate Black Cohosh (Actaea racemosa) from Other Cohosh Species. Planta Medica, 84(6-07), 407-419. https://doi.org/10.1055/s-0043-119887
Tankeu S, et al. Hyperspectral Imaging and Support Vector Machine: a Powerful Combination to Differentiate Black Cohosh (Actaea Racemosa) From Other Cohosh Species. Planta Med. 2018;84(6-07):407-419. PubMed PMID: 28985643.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Hyperspectral Imaging and Support Vector Machine: A Powerful Combination to Differentiate Black Cohosh (Actaea racemosa) from Other Cohosh Species. AU - Tankeu,Sidonie, AU - Vermaak,Ilze, AU - Chen,Weiyang, AU - Sandasi,Maxleene, AU - Kamatou,Guy, AU - Viljoen,Alvaro, Y1 - 2017/10/06/ PY - 2017/10/7/pubmed PY - 2018/9/5/medline PY - 2017/10/7/entrez SP - 407 EP - 419 JF - Planta medica JO - Planta Med VL - 84 IS - 6-07 N2 - Actaea racemosa (black cohosh) has a history of traditional use in the treatment of general gynecological problems. However, the plant is known to be vulnerable to adulteration with other cohosh species. This study evaluated the use of shortwave infrared hyperspectral imaging (SWIR-HSI) in tandem with chemometric data analysis as a fast alternative method for the discrimination of four cohosh species (Actaea racemosa, Actaea podocarpa, Actaea pachypoda, Actaea cimicifuga) and 36 commercial products labelled as black cohosh. The raw material and commercial products were analyzed using SWIR-HSI and ultra-high-performance liquid chromatography coupled to mass spectrometry (UHPLC-MS) followed by chemometric modeling. From SWIR-HSI data (920 - 2514 nm), the range containing the discriminating information of the four species was identified as 1204 - 1480 nm using Matlab software. After reduction of the data set range, partial least squares discriminant analysis (PLS-DA) and support vector machine discriminant analysis (SVM-DA) models with coefficients of determination (R2) of ≥ 0.8 were created. The novel SVM-DA model showed better predictions and was used to predict the commercial product content. Seven out of 36 commercial products were recognized by the SVM-DA model as being true black cohosh while 29 products indicated adulteration. Analysis of the UHPLC-MS data demonstrated that six commercial products could be authentic black cohosh. This was confirmed using the fragmentation patterns of three black cohosh markers (cimiracemoside C; 12-β,21-dihydroxycimigenol-3-O-L-arabinoside; and 24-O-acetylhydroshengmanol-3-O-β-D-xylopyranoside). SWIR-HSI in conjunction with chemometric tools (SVM-DA) could identify 80% adulteration of commercial products labelled as black cohosh. SN - 1439-0221 UR - https://www.unboundmedicine.com/medline/citation/28985643/Hyperspectral_Imaging_and_Support_Vector_Machine:_A_Powerful_Combination_to_Differentiate_Black_Cohosh__Actaea_racemosa__from_Other_Cohosh_Species_ L2 - http://www.thieme-connect.com/DOI/DOI?10.1055/s-0043-119887 DB - PRIME DP - Unbound Medicine ER -