Achmad, Inggil Aziez Nur and Alfarizi, Mukhamad Tegar (2026) Korelasi-Silang Spektrum FTIR dan Data GC-MS untuk Prediksi Kandungan PUFA pada Biomassa Thraustochytrids yang Dikultivasi Menggunakan Limbah Industri Agar Gracilaria. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Thraustochytrids merupakan mikroorganisme laut yang berpotensi sebagai sumber docosahexaenoic acid (DHA). Analisis kandungan DHA umumnya dilakukan menggunakan metode kromatografi yang relatif memerlukan waktu lama, preparasi sampel yang kompleks, dan bersifat destruktif. Penelitian ini bertujuan mengembangkan metode prediksi kandungan DHA yang lebih cepat melalui integrasi spektrum Fourier Transform Infrared (FTIR) dan data referensi Gas Chromatography (GC) pada biomassa thraustochytrids yang dikultivasi menggunakan limbah industri agar Gracilaria. Spektrum FTIR pada rentang 4000–650 cm⁻¹ diproses menggunakan empat teknik praproses, yaitu raw, Standard Normal Variate (SNV), first derivative, dan second derivative, kemudian dimodelkan menggunakan Partial Least Squares Regression (PLSR), Principal Component Analysis–Support Vector Regression (PCA–SVR), dan Random Forest Regression (RFR) sehingga diperoleh 12 kombinasi model. Evaluasi dilakukan berdasarkan nilai R², Q², RMSEC, RMSECV, slope, dan intercept. Hasil penelitian menunjukkan bahwa kombinasi second derivative–PCA–SVR menghasilkan performa terbaik dengan R² kalibrasi sebesar 0,9728, Q² sebesar 0,8873, RMSEC sebesar 1,8364 mg/g, dan RMSECV sebesar 3,2187 mg/g. Model tersebut juga memiliki slope kalibrasi 0,9685, slope validasi silang 0,8912, serta intercept −0,1426, yang menunjukkan kesesuaian yang baik antara nilai prediksi dan nilai aktual. Hasil ini mengindikasikan bahwa FTIR yang dipadukan dengan analisis kemometrik berpotensi menjadi metode alternatif untuk memprediksi kandungan DHA secara cepat, efisien, dan non-destruktif.
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Thraustochytrids are marine microorganisms with significant potential as a sustainable source of docosahexaenoic acid (DHA). Conventional DHA determination relies on chromatographic techniques, which are time-consuming, require extensive sample preparation, and are destructive. This study aimed to develop a rapid and non-destructive method for predicting DHA content by integrating Fourier Transform Infrared (FTIR) spectroscopy with Gas Chromatography (GC) reference data from thraustochytrids biomass cultivated using Gracilaria agar industry waste. FTIR spectra in the 4000–650 cm⁻¹ region were preprocessed using raw, Standard Normal Variate (SNV), first derivative, and second derivative, followed by modeling with Partial Least Squares Regression (PLSR), Principal Component Analysis–Support Vector Regression (PCA–SVR), and Random Forest Regression (RFR), resulting in twelve prediction models. Model performance was assessed using R², Q², RMSEC, RMSECV, slope, and intercept. The second derivative–PCA–SVR model achieved the best performance, with an R² of 0.9728, a Q² of 0.8873, an RMSEC of 1.8364 mg/g, and an RMSECV of 3.2187 mg/g. The model also produced a calibration slope of 0.9685, a cross-validation slope of 0.8912, and an intercept of −0.1426, indicating good agreement between predicted and reference values. These results demonstrate that FTIR spectroscopy combined with chemometric techniques is a promising alternative for rapid, efficient, and non-destructive prediction of DHA content.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | FTIR, GC-MS, Prediksi, Thraustochytrids, FTIR, GC-MS, Prediction, Thraustochytrids |
| Subjects: | T Technology > T Technology (General) > T57.5 Data Processing T Technology > TP Chemical technology T Technology > TP Chemical technology > TP155.7 Chemical processes. T Technology > TP Chemical technology > TP248.3 Biochemical engineering. Bioprocess engineering |
| Divisions: | Faculty of Vocational > 24305-Industrial Chemical Engineering Technology |
| Depositing User: | Inggil Aziez Nur Achmad |
| Date Deposited: | 28 Jul 2026 02:26 |
| Last Modified: | 28 Jul 2026 02:26 |
| URI: | http://repository.its.ac.id/id/eprint/138280 |
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