Open AccessApplication of FTIR Spectroscopy and Chemometrics for the Prediction of Radical Scavenging Activities of Fish oils
Author(s) -
Arif Nur Ikhsan,
Abdul Rohman,
Anggita Rosiana Putri,
Fella Syifa,
Mabrurotul Mustafidah,
Ronny Martien
Publication year - 2021
Publication title -
indonesian journal of pharmacy
Language(s) - English
Resource type - Journals
eISSN - 2338-9486
pISSN - 2338-9427
DOI - 10.22146/ijp.1004
Subject(s) - chemometrics , principal component analysis , principal component regression , partial least squares regression , chemistry , extraction (chemistry) , dpph , fish oil , antioxidant , food science , chromatography , fish <actinopterygii> , mathematics , biology , fishery , biochemistry , statistics
Patin fish (Pangasius micronemus), Gabus fish (Channa striata) and Bandeng fish (Chanos chanos) are the freshwater fish that are widely cultivated in Indonesia, fish oils extracted are believed has antioxidant activity. The goals of this study was (1) determining antioxidant activities using radical scavenging activity (RSA) 2,2’-diphenyl-1-picrylhydrazil (DPPH), (2) classifying of fish oil from different species and extraction method using principal component analysis (PCA) and cluster analysis (CA) and predicting antioxidant activities of fish oil from different species and extraction method using FTIR spectroscopy combined principal component regression (PCR) and partial least square regression (PLS). The results exhibit radical scavenging activity (RSA) of patin fish flesh oil (maceration dried samples using chloroform) giving highest RSA (23.57 ± 0.14). PCA and CA succesfully classify of fish oil from different species and extraction based on PC1 - PC2 score plots and grouping into 4 groups based on dendogram. Optimal PCR method were obtained from second derivative spectra at wavenumbers region 1440 – 1741 cm-1 with highest R2 (0,9794), lowest RMSEC (0,737), and lowest RMSEP (0,927) in calibration and validation models. From this study we can concluded FTIR spectroscopy combined with chemometrics can be classifying and predicting antioxidant activity of fish oil from different species and extraction method successfully.