Determination of Classification Model and Total Phenolic Content of Local Variety Soursop (Annona muricata L.) Leaf Powder in Different Altitudes Using NIR and FTIR Spectroscopy with Chemometrics

Lestyo Wulandari, Ari Satia Nugraha, Yashinta Nirmala Siswanti

Abstract


Soursop (Annona muricata L.) leaves have been widely used traditionally to overcome health problems, this is related to its total phenolic content. This study was aimed to determine the classification model and total phenolic content of soursop leaf powder of local varieties, in different altitudes using NIR and FTIR spectroscopy with chemometrics. Local variety soursop leaf samples that have been collected from low land (0-200 meter above sea level (masl)), medium land (201-700 masl) and high land (>700 masl) are prepared, then scanned using NIR and FTIR spectroscopy. Furthermore, the NIR spectra data from the samples were used as predictors on the LDA classification model of local and queen varieties soursop leaves to identify sample varieties. Samples identified as local varieties, whose total phenolic content was determined using a comparative method (UV-Vis spectrophotometry). The highest mean of total phenolic content is owned by samples from medium land (Jember) of 5.72% w/w GAE, followed by low land (Bangkalan) 2.95% w/w GAE and high land (Batu) 1, 78% w/w GAE. NIR and FTIR spectra data belonging to the samples were analyzed by chemometrics qualitatively using LDA, SVM and SIMCA, and quantitatively using PLS, PCR and SVR. The best classification and calibration model are formed from the NIR spectra data, that are the LDA model with an accuracy of 100% and the PLS model with an R-square calibration value of 0.998071 and RMSEC of 1.2735631. The LDA and PLS models are applied to the real samples. The results of the sample's total phenolic content determination obtained from the NIR spectroscopy method and UV-Vis spectrophotometry method were then tested with Paired-Samples T Test and it can be concluded that the content obtained from the two methods did not have a significant difference.


Keywords


Annona muricata L., total phenolic Content, NIR, FTIR, chemometric

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References


Adewole SO., and Ojewole, JAO., 2009. Protective Effects of Annona muricata Linn. (Annonaceae) Leaf Aqueous Extract on Serum Lipid Profiles and Oxidative Stress in Hepatocytes of Spteptozotocin-Treated Diabetic Rats. African J Trad, Comple and Alternative Medicinies, 6(1), 30–41.

Agustina S., Purwanto YA., and Budiastra IW. 2015. Prediksi Kandungan Kimia Mangga Arumanis selama Penyimpanan dengan Spektroskopi NIR Arumanis Mango Chemical Contents Prediction during Storage using. Jurnal Keteknikan Pertanian, 3(1), 57–63.

Baskar R., Rajeswari V., and Kumar, TS., 2006. In Vitro Antioxidant Studies in Leaves of Annona Species. Indian Journal of Experimental Biology, 45, 480–485.

Depkes RI. 2008. Farmakope Herbal Indonesia (I). Jakarta: Depkes RI.

Dewi MKC. 2018. Penentuan Kandungan Fenolik Total Serbuk Daun Sirsak (Annona muricata L.) Varietas Ratu dan Lokal dan Model Klasifikasi NIR Kemometrik. Skripsi. Jember: Fakultas Farmasi Universitas Jember.

Enderle DIM., and Weih RC. 2005. Integrating Supervised and Unsupervised Classification Methods to Develop a More Accurate Land Cover Classification. J. Arkansas Academy of Science, 59(10), 65–73. https://doi.org /10.1080/10810730903460526

Ginting E., Widodo Y., Rahayuningsih, SA., and Jusuf, M. 2005. Ginting.pdf. Penelitian Tanaman Pangan, 24(1), 8–18.

Holistic Health Solution (HHS). 2012. Khasiat Fantastis Sirsak vs Srikaya. Jakarta: Grasindo.

Ibrahim NS., and Abdullahi, M. 2015. Cytotoxicity , Total Phenolic Contents and Antioxidant Activity of the Leaves Extract of Annona Muricata. ChemSearch Journal, 6(1), 46–51.

Juniarta IKAA. 2018. Pengembangan Model Klasifikasi dan Penetapan Kadar Fenolat Total Ekstrak Daun Sirsak (Annona muricata L.) Varietas Ratu dan Lokal Menggunakan NIR Kemometrik. Skripsi. Jember: Fakultas Farmasi Universitas Jember.

Kedari TS., and Khan AA. 2014. Guyabano (Annona Muricata): A review of its Traditional uses Phytochemistry and Pharmacology. American Journal of Research Communication, 2(10), 247–268.

Keskin-Šašić, I., Tahirović, I., Topčagić, A., Klepo, L., Salihović, M., Ibragić, S., … Velispahić, E. 2012. Total Phenolic Content and Antioxidant Capacity of Fruit Juices. Bulletin of the Chemists and Technologists of Bosnia and Herzegovina, 39, 25–28.

Lukman H., Wulandari L., and Retnaningtyas Y. 2016. Penentuan Kadar Flavonoid pada Ekstrak Daun Tanaman Menggunakan Metode NIR dan Kemometrik. Jurnal Pustaka Kesehatan, 4(1), 8–13.

Nurul TS. 2016. Unsupervised and Supervised Classification. Retrieved November 19, 2018, from https://titisari04.wordpress.com/2016/11/04/unsupervised-and-supervised-classification/

Rahmawati A., Kuswandi B., and Retnaningtyas Y. 2015. Deteksi Gelatin Babi pada Sampel Permen Lunak Jelly Menggunakan Metode Fourier Transform Infra Red (FTIR) dan Kemometrik (Detection of Porcine Gelatin in Jelly Soft Candy Sample Using Fourier Transform Infra Red and Chemometrics). Jurnal Pustaka Kesehatan, 3(2), 278–283.

Rukmana HR. 2002. Usaha Tani Cabai Rawit. Yogyakarta: Kanisius.

Santoso S. 2018. Menguasai Statistik dengan SPSS 25. Jakarta: Elex Media.

Sari AK., and Ayuchecaria, N. 2017. Penetapan Kadar Fenolik Total dan Flavonoid Total

Ekstrak Beras Hitam ( Oryza Sativa L ) dari Kalimantan Selatan. Jurnal Ilmiah Ibnu Sina, 2(2), 327–335.

Sudjijo. 2014. Persamaan antara Varietas Ratu dan Lokal. Retrieved August 1, 2018, from https://balitbu.litbang.pertanian.go.id/index.php/hasil-penelitian-mainmenu-46/674-persamaan-antara-varietas-sirsak-ratu-dengan-lokal

Sun SJ., Chen J., Zhou Q., Lu G., and Chan K. 2010. Application of Mid-infrared Spectroscopy in the Quality Control of Traditional Chinese Medicines. Planta Medica, 76(17), 1987–1996.

Wulandari L., Retnaningtyas, Y. and Lukman, H. 2016. Analysis of Flavonoid in Medicinal Plant Extract Using Infrared Spectroscopy and Chemometrics. Journal of Analytical Methods in Chemistry, 2016, 1–6. https://doi.org/http://dx.doi.org/10.1155/2016/4696803




DOI: http://dx.doi.org/10.14499/indonesianjpharm30iss1pp7

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