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Journal : INDONESIAN JOURNAL OF PHARMACY

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
Indonesian Journal of Pharmacy Vol 30 No 1, 2019
Publisher : Faculty of Pharmacy Universitas Gadjah Mada, Yogyakarta, Skip Utara, 55281, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1014.036 KB) | DOI: 10.14499/indonesianjpharm30iss1pp7

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.
Co-Authors Adinda Kusuma Pertiwi Afrian Rosyadi Aissa Dinar Yanuariski Amrina Rosyada Fajriyanti Andhika Puspito Nugroho Arthur Hariyanto Prakoso Arthur Hariyanto Prakoso Arthur Hariyanto Prakoso Arthur Hariyanto Prakoso Asia Asia Asia Asia Asia Asia Asia, Asia Ayik Rosita Puspaningtyas1 Azhari, Nuri Putri Azis, Deri Abdul Bambang Kuswandi Bambang Kuswandi Banun Kusumawardani Bawon Triatmoko Dewi, Itut Septiana Dian Agung Pangaribowo Dinar Mutia Rani Dinarwati, Sri Dwi Koko Pratoko Endah Puspitasari Fathunnisa, Fathunnisa Fawwas Batio Putra Pamungkas Febi, Qonita Nafilah Gani Asri Muharam Gani Asri Muharam Ifan Arif Maulana Ilma, Laila Nurul Indah Purnama Sary, Indah Purnama Indah Purnamasary Ita Husnul Chotimah Iyan Setiawan Kartika Senjarini Larissa Tania Lestyo Wulandari Lestyo Wulandari Luh Putu Ratna Sundari Mardani Eka Ningrum Mariatul Kibthiyyah Muhammad Habiburrohman Muhammad Habiburrohman Muhammad Habiburrohman Muhammad Zainul Arifin Muhammad Zainul Arifin Muhammad Zainul Arifin Muhammad Zainul Arifin Muharam, Gani Asri Nafa Rosyida Zanuba Naura Bathari Winarto Nimas Ayu Amanda Putri Ninisita Sri Hadi Nugroho, Irfan Agus Nuri Putri Azhari Pairah, Pairah Prakoso, Arthur Hariyanto Putri Handayani, Maulina Surindri Rike Oktarianti Rofiko Nuning Rahayu Rohmatillah, Wilda Nur Romadhona, Ananda Briliana Rosidah, Malihatul Saeful Akhmad Tauladani Savitri, Ganevi Resta Septianingtyas, Christabel Reviana Silvya Fitri Nur Azizah Sri Untari Siwi Sudarko Sudarko Syubbanul Wathon, Syubbanul Tauladani, Saeful Akhmad Untari, Ludmilla Fitri Wilda Nur Rohmatilah Wilda Nur Rohmatillah Wilda Nur Rohmatillah Wilda Nur Rohmatillah Yandy Noviandri Yashinta Nirmala Siswanti Yoshinta Debby Ziyan Nihlatul Millah