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| Title |
Indonesia Journal of Pharmacy Vol 34 No 2 2023 |
| Edition |
Vol 34 No 2 2023 |
| Call Number |
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| ISBN/ISSN |
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| Author(s) |
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| Subject(s) |
adulteration fish oil emulsion chemometrics principal component regression discriminant analysis
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| Classification |
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| Series Title |
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GMD |
Karya Tulis Ilmiah |
| Language |
Indonesia |
| Publisher |
Universitas Gadjah Mada |
| Publishing Year |
2023 |
| Publishing Place |
Jogjakarta |
| Collation |
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| Abstract/Notes |
Patin fish oil (PFO) contains a high level of polyunsaturated fatty acid
that has beneficial effects on the human body, such as preventing various
cardiovascular diseases, maintaining body fat composition, and aiding in
human brain development. PFO can be developed as patin fish oil emulsion
(PFOE) and used as a dietary supplement. Given its beneficial value, PFOE is
at risk of being adulterated with low-quality oils. Therefore, authentication is
crucial to guarantee its quality and safety. However, authenticating PFOE is
difficult because its physical appearances are masked by the emulsion
component. This study aims to authenticate PFOE using Fourier transform
infrared (FTIR) spectroscopy combined with chemometrics. Adulteration
models were prepared using palm oil (PO) as an adulterant. All samples were
analyzed using ATR-FTIR spectroscopy at 4000–650 cm−1. Chemometric
techniques such as discriminant analysis (DA), partial least square
regression, and principal component regression (PCR) were adopted for
quantitative analysis. Results showed that DA successfully discriminated
PFOE from the adulterant. PCR within the normal spectrum of 1004–2936
cm−1 produced the best values of 0,9846 highest R2
cal, 0,9073 R2
pred, 0,0565
lowest root mean square error of calibration, and 0,1330 root mean square
error of prediction. Therefore, FTIR spectroscopy combined with
chemometrics is a rapid, accurate, and suitable method for distinguishing
pure PFOE from PO adulterant.
Keywords: adulteration, fish oil emulsion, chemometrics, principal
component regression, discriminant analysis |
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