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Physicochemical Characterization and Fatty Acid Profiles of Catfish Oil (Clarias gariepinus) Ningrum, Karina Primatyas; Rohman, Abdul; Martien, Ronny
Journal of Food and Pharmaceutical Sciences Vol 11, No 2 (2023): J.Food.Pharm.Sci
Publisher : Integrated Research and Testing Laboratory (LPPT) Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jfps.7418

Indonesian aquaculture cultivation production of catfish has been growing faster than other fish. It is a potential source of fish oil and contains polyunsaturated fatty acids that have health benefits. The objective of this study was to perform physicochemical characterization and fatty acid profile of catfish oil. This study used fish oil extracted from the head and the flesh of catfish using dry rendering with a mechanic press. The result showed that catfish flesh oil (CFO) and catfish head oil (CHO) were significantly different parameters (p<0.05) in terms of physicochemical characteristics including acid value, peroxide value, iodine value, and saponification value. The best characteristics are catfish flesh oil than catfish head oil for acid value, peroxide value, iodine value, and saponification value following the number is 2.17 mg KOH/g, 5.15 meqO2/kg, 76.13 I2/100 g, 175.86 mg KOH/g. The predominant fatty acids were oleic, palmitic, and linoleic acids. These catfish oils are found suitable for consumption for beneficial health effects.

Analisis Kadar Flavonoid Total Ekstrak dan Fraksi-Fraksi Tanaman Sawi Langit (Vernonia cinerea L) dengan Metode Spektrofotometri Uv-Vis Mulyani, Elly; Herlina; Ningrum, Karina Primatyas; Roki Pernandes
PUCUK : Jurnal Ilmu Tanaman Vol 4 No 2 (2024): Desember
Publisher : Fakultas Pertanian Universitas Ratu Samban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/pucuk.v4i2.391

Indonesia merupakan sebuah negara yang kaya akan keanekaragaman hayati, yang dapat dimanfaatkan sebagai sumber tanaman obat. Salah satu tanaman gulma yang bermanfaat adalah sawi langit (Vernonia cinerea L). Tanaman ini dikenal memiliki berbagai khasiat untuk kesehatan, berkat kandungan senyawa flavonoid di dalamnya. Namun, tingkat kandungan flavonoid ini bisa dipengaruhi oleh pemilihan pelarut yang digunakan. Penelitian ini bertujuan untuk menganalisis kandungan total flavonoid dalam ekstrak dan fraksi sawi langit. Metode yang digunakan dalam penelitian ini meliputi uji kualitatif dan kuantitatif. Uji kualitatif dilakukan dengan menggunakan pereaksi Wilstater dan Bate-Smite-Metcalfe, yang menunjukkan hasil positif bagi keberadaan flavonoid. Sementara itu, uji kuantitatif dilakukan menggunakan spektrofotometri UV-Vis dengan quersetin sebagai standar. Hasil penelitian menunjukkan bahwa kandungan flavonoid total dalam ekstrak etanol 96% sawi langit adalah 82,96±1,03 mgQE/g, fraksi etil asetat memperoleh 54,09±0,35 mgQE/g, dan ekstrak n-heksana menghasilkan 42,45±0,35 mgQE/g

Application of Clustering Analysis with Unsupervised Technique on Fish Oil Samples Miftahul Jannah, Nadia; Primatyas Ningrum, Karina; Anggriani Syafrie, Firhani
Journal of Food and Pharmaceutical Sciences Vol 13, No 2 (2025): J.Food.Pharm.Sci
Publisher : Integrated Research and Testing Laboratory (LPPT) Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jfps.21517

Fish oil contains many fatty acids (FAs) important for human health. Each fish oil tends to have a different fatty acid content. This study aims to group the fish oil content profile in several samples, such as keting fish oil (KFO), catfish oil (CFO), and pomfret fish oil (PFO), based on GC-MS analysis data with unsupervised techniques. GC-MS is a method that can be used to identify the fatty acid content in fish oil. Fish oil is extracted using the dry rendering method combined with a hydraulic press to obtain the oil, then derivatised before being analysed on the GC-MS instrument. Due to the multivariate data from GC-MS, multivariate statistical techniques are required to effectively group the fish oil samples based on their Fatty Acid profiles. Principal Component Analysis (PCA) and Cluster Analysis (CA) chemometrics are unsupervised techniques that can group multivariate data by displaying plot scores and dendrograms of sample analysis results. The fatty acid content of keting fish, catfish, and pomfret fish oil has three dominant compounds in sequence, namely oleic acid, palmitic acid, and stearic acid, with different percentages. Thegrouping profile of fish oil was successfully determined by PCA, total variance explained by the first four components (PC4) of 99.4%, and CA, which produced three groups based on the fatty acid content of fish oil.

Application of Clustering Analysis with Unsupervised Technique on Fish Oil Samples Miftahul Jannah, Nadia; Primatyas Ningrum, Karina; Anggriani Syafrie, Firhani
Journal of Food and Pharmaceutical Sciences Vol 13, No 2 (2025): J.Food.Pharm.Sci
Publisher : Integrated Research and Testing Laboratory (LPPT) Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jfps.21517

Fish oil contains many fatty acids (FAs) important for human health. Each fish oil tends to have a different fatty acid content. This study aims to group the fish oil content profile in several samples, such as keting fish oil (KFO), catfish oil (CFO), and pomfret fish oil (PFO), based on GC-MS analysis data with unsupervised techniques. GC-MS is a method that can be used to identify the fatty acid content in fish oil. Fish oil is extracted using the dry rendering method combined with a hydraulic press to obtain the oil, then derivatised before being analysed on the GC-MS instrument. Due to the multivariate data from GC-MS, multivariate statistical techniques are required to effectively group the fish oil samples based on their Fatty Acid profiles. Principal Component Analysis (PCA) and Cluster Analysis (CA) chemometrics are unsupervised techniques that can group multivariate data by displaying plot scores and dendrograms of sample analysis results. The fatty acid content of keting fish, catfish, and pomfret fish oil has three dominant compounds in sequence, namely oleic acid, palmitic acid, and stearic acid, with different percentages. Thegrouping profile of fish oil was successfully determined by PCA, total variance explained by the first four components (PC4) of 99.4%, and CA, which produced three groups based on the fatty acid content of fish oil.

EVALUASI WAKTU HANCUR TABLET ASAM MEFENAMAT DENGAN VARIASI KONSENTRASI SODIUM STARCH GLYCOLATE SEBAGAI SUPERDISINTEGRAN MELALUI METODE GRANULASI BASAH Anjeliani, Cindy Choirina; Sari, Delia Komala; Sutanto, Teja Dwi; Dominica, Dwi; Ningrum, Karina Primatyas
BENCOOLEN JOURNAL OF PHARMACY Vol. 5 No. 2 (2025): Oktober
Publisher : UNIB PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/bjp.v5i2.43233

Latarbelakang: Keberhasilan formulasi tablet sangat dipengaruhi oleh parameter mutu fisik, salah satunya adalah waktu hancur. Waktu hancur dapat memengaruhi bioavailabilitas obat, terutama pada zat aktif yang memiliki kelarutan rendah seperti asam mefenamat, sehingga pemilihan bahan penghancur seperti sodium starch glycolate (SSG) dan metode pembuatan yang tepat seperti granulasi basah sangat penting untuk memperbaiki kelarutan zat aktif. Metode: Penelitian ini merupakan studi eksperimental berupa formulasi tablet dengan granulasi basah menggunakan SSG 1–5%, lalu diuji waktu hancurnya. Hasil dan Pembahasan: Waktu hancur masing-masing formula, F1 (1%), F2 (2%), F3 (3%), F4 (4%), F5 (5%) berturut-turut adalah 3,52 menit, 2,72 menit, 2,56 menit, 1,52 menit, dan 1,31 menit, kelima formula memenuhi syarat uji waktu hancur yang baik. Kesimpulan: Semakin meningkat konsentrasi SSG, maka waktu hancur tablet menjadi semakin cepat, dan sebaliknya. Uji statistik one way ANOVA menunjukkan variasi konsentrasi SSG berpengaruh signifikan terhadap waktu disintegrasi tablet asam mefenamat.

Physicochemical Characterization and Fatty Acid Profiles of Catfish Oil (Clarias gariepinus) Ningrum, Karina Primatyas; Rohman, Abdul; Martien, Ronny
Journal of Food and Pharmaceutical Sciences Vol 11, No 2 (2023): J.Food.Pharm.Sci
Publisher : Integrated Research and Testing Laboratory (LPPT) Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jfps.7418

Indonesian aquaculture cultivation production of catfish has been growing faster than other fish. It is a potential source of fish oil and contains polyunsaturated fatty acids that have health benefits. The objective of this study was to perform physicochemical characterization and fatty acid profile of catfish oil. This study used fish oil extracted from the head and the flesh of catfish using dry rendering with a mechanic press. The result showed that catfish flesh oil (CFO) and catfish head oil (CHO) were significantly different parameters (p<0.05) in terms of physicochemical characteristics including acid value, peroxide value, iodine value, and saponification value. The best characteristics are catfish flesh oil than catfish head oil for acid value, peroxide value, iodine value, and saponification value following the number is 2.17 mg KOH/g, 5.15 meqO2/kg, 76.13 I2/100 g, 175.86 mg KOH/g. The predominant fatty acids were oleic, palmitic, and linoleic acids. These catfish oils are found suitable for consumption for beneficial health effects.

Studi perbandingan profil asam lemak minyak ikan lele dan minyak ikan keting melalui pemurnian dengan bentonit Jannah, Nadia Miftahul; Ningrum, Karina Primatyas
Journal of Pharmaceutical and Sciences JPS Volume 8 Nomor 1 (2025)
Publisher : Fakultas Farmasi Universitas Tjut Nyak Dhien

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36490/journal-jps.com.v8i1.378

In general, fish have high omega-3 and omega-9 fatty acid content and are beneficial for health. This makes fish oil develop into a food supplement. Increasing the amount of free fatty acids in oil can potentially reduce the quality and damage of fish oil. Adsorbents have bleaching properties that can affect color changes in fish oil and fish oil content. This study aims to determine the effect of bentonite adsorbent treatment on the fatty acid profile of catfish oil and keting fish oil analyzed using the Gas Chromatography Mass Spectrometry (GC-MS) method. Catfish oil (CFO) and Keting fish oil (KFO) samples were extracted without using organic solvents and then treated with bentonite as an adsorbent. The extracted oil was derivatized and then injected into the GC-MS instrument system. There were 29 types of fatty acids detected in each sample, namely 12 types of saturated fatty acids (SFA), 8 types of monounsaturated fatty acids (MUFA), and 9 types of double unsaturated fatty acids (PUFA). The effect of purification with bentonite was analyzed using One-way ANOVA from Minitab19 software showing that there were differences in the content of fatty acid profiles of CFO and KFO that were purified and not purified with bentonite, shown in each category of fatty acids SFA, MUFA and PUFA which had a p value <0.05.

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