Quality Control of Jati Belanda Leaves (Guazuma ulmifolia) using Image Analysis and Chemometrics
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Quality Control, Guazuma ulmifolia, Image analysis, Chemometrics
Abstract
The quality of medicinal plants, such as Guazuma ulmifolia (jati belanda, JB), affects the quality of the herbal material derived from them, and can be determined using image analysis. The objective of this study is to investigate the possibility of using an image-generated spectrum and chemometrics as a method for quality control of Jati belanda leaves. Three different quality levels of JB leaves were determined, based on their harvesting time, and confirmed by total flavonoid content analysis. The images of JB samples were collected and reconstructed as a reflection spectrum using the Wiener estimation. The reconstructed spectrum had a goodness-of-fit coefficient of 0.9576 and a root-mean-square-error (RMSE) of 36.65%, compared to the experimental spectrum. Principal Component Analysis (PCA) was used to classify the JB reconstructed spectrum based on its quality. A score plot of two PCs that represented 98% variance was able to group the JB spectrum. Further analysis using Partial Least Squares-Discriminant Analysis (PLSDA) showed that the method can result in around 90% prediction success rate with external validation. This study indicates that image analysis and chemometrics could be used as quality control methods for herbal material.
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References
Anuradha, V. E. Jaleel, C. A., Salem, M. A., Gomathinayagam, M., & Panneerselvam, R. (2010). Plant growth regulators induced changes in antioxidant potential and andrographolide content in Andrographis paniculata Wall.ex Nees. Pesticide Biochemistry and Physiology 98, 312-316.
[BPOM] Badan Pengawas Obat dan Makanan RI. (2004). Ekstrak Tumbuhan Obat Indonesia vol. 1. Jakarta: Direktorat Jenderal Pengawasan Obat dan Makanan.
Borges CN, Bruns RE, Almeida AA, Scarminio LS. 2007. Mixture–mixture design for the fingerprint optimization of chromatographic mobile phases and extraction solutions for Camellia sinensis. Analytica Chimica Acta. 595:28-37.
[Depkes] Departemen Kesehatan. (2008). Farmakope Herbal Indonesia. Edisi 1. Jakarta: Depkes
Febrandy D. 2006. Karakterisasi sifat-sifat tanah dan lahan untuk kesesuaian lahan tanaman Jati Belanda (Guazumaulmifolia Lamk.). [skripsi]. Bogor: Institut Pertanian Bogor.
Gowen AA, O’Donnell CP, Cullen PJ, Bell SEJ. 2008. Recent applications of chemical Imaging to pharmaceutical process monitoring and quality control. European Journal of Pharmaceutics and Biopharmaceutics. 69:10-22.
Kurniawan MF. 2012. Kendali mutu daun Jati Belanda (Guazuma ulmiflia Lamk.) menggunakan Fotometer Jinjing dan teknik pengenalan pola [skripsi]. Bogor: Institut Pertanian Bogor.
Lucio-Gutiérrez JR, Coello J, Maspoch S. 2011. Application of near infrared spectral fingerprinting and pattern recognition techniques for fast identification of Eleutherococcus senticosus. Food Research International. 44:557-565.
Mansouri A, Sliwa T, Hardeberg JY, Voisin Y. 2008. An adaptive-PCA algorithm for reflectance estimation from color images. 19th Internatinal Conference on Pattern Recognition, ICPR 2008, 1-4. New York, NY: IEEE
Miller JC, Miller JN. 2000. Statistics and Chemometrics for Analytical Chemistry. Ed ke-4. Harlow (UK): Pearson Education.
Nishidate I, Maeda T, Niizeki K, Aizu Y. 2013. Estimation of melanin and hemoglobin using spectral reflectance images reconstructed from a digital RGB image by the wiener estimation method. Sensors. 13:7902-7915
Orava J, Parkkinen J, Hauta-Kasari M, Hyvönen P, Von Wright A. 2012. Temporal clustering of minced meat by RGB- and spectral imaging. Journal of Food Engineering. 112: 112–116.
Shatilova Y. 2008. Color image technique in fish research [thesis]. Joensuu (FinlaND) : University of Joensuu.
Singh SK, Jha SK, Chaudhary A, Yadava RDS, Rai SB. 2010. Quality control of herbal medicines by using spectroscopic techniques and multivariate statistical analysis. Pharmaceutical Biology. 48:134-141.
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