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The Application of FTIR Spectroscopy Combined Chemometrics for Analysis of Keting Fish Oil in Binary Mixture with Patin Fish Oil and Palm Oil Nadia Miftahul Jannah; Abdul Rohman; Lily Arsanti Lestari
Journal of Food and Pharmaceutical Sciences Vol 11, No 3 (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.7955

Abstract

Keting fish (Mystus gulio) is a local fish from Indonesia. The quality of keting fish oil needs to be maintained to avoid counterfeiting. The use of Fourier transform infrared (FTIR) spectroscopy can be developed for quantitative analysis of keting fish oil (KFO) in binary mixtures with palm oil (PO) and patin fish oil (PFO). In this present research, PLS and PCR models were used to construct a multivariate calibration for the KFO content in the binary mixtures analyzed at fingerprint region frequencies of 1500-1000 cm-1. The results showed that PLS with second derivative FTIR spectra was well suited for quantitative analysis of KFO-PFO with a value of the coefficient of determination (R2) = 0.997 and the error expressed as root mean square error of calibration (RMSEC) = 0.0204. Meanwhile, R2 0.999 and RMSEC values obtained for KFO in a mixture with PO were and 0.0133. In general, FTIR spectroscopy serves as a suitable technique for the determination of KFO in mixtures with other oils.
Optimization of Formulation and Physical Evaluation of Peel-Off Gel Face Mask from Clove Leaf Essential Oil (Syzygium aromaticum L.) Miftahul Jannah, Nadia; Prasetyo, Yogi
Journal of Food and Pharmaceutical Sciences Vol 13, No 1 (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.19942

Abstract

Acne is an inflammatory infection triggered by Propionibacterium acnes bacteria. Clove leaf essential oil (Syzygium aromaticum L.) has attracted attention as a potential active ingredient in skincare products, such as peel-off gel face masks, due to its anti-inflammatory properties. This study aims to develop a natural, effective, and safe skincare product for treating acne using clove leaf essential oil as the active ingredient. The active ingredient was 2% essential oil, with formulation optimization of PVA (1–2.5%) and propylene glycol (5–6.5%). The physical evaluation of the formulations included organoleptic properties, homogeneity, pH, spreadability, viscosity, and drying time. The optimum formulation of the peel-off gel face mask containing clove leaf essential oil was achieved with a PVA concentration of 1.163% and propylene glycol at 6.333%, with a desirability value of 1.000. The physical evaluation results of the optimum formula showed a pH value of 5.90, a spreadability of 6.60 cm, a drying time of 26.08 minutes, and a viscosity of 30,682.50 cps.
Optimasi Formula dan Uji Evaluasi Sediaan Kondisioner Ekstrak Minyak Zaitun (olive oil) Jannah, Nadia Miftahul; Anggraini, Yessy Dwi
Indonesian Journal of Medical and Pharmaceutical Science Vol. 4 No. 1 (2025)
Publisher : Sultan Agung Islamic University of Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/ijmps.v4i1.331

Abstract

Background: Conditioner is a product that consumers need in everyday life as hair care. One of the active substances commonly used as a moisturizer is olive oil which is obtained from olives. The largest content of olive oil is oleic acid, oleic acis provides properties that can retain moisture. The aim of this research was to determine the formulation of olive oil extract conditioner using the SLD method, as well as to determine the result of the physical evaluation. Methods: Determination of the difference in concentrations of hydroxyethylcellulose and propylene Glycol using the Simplex Latex Design (SLD) method. The result Physical evaluation includes organileptic tests, test homogeneity, pH test, viscosity tets and stability test. After testing 8 formulas, optimal result were obtained, namely hydroxyethylcellulose 1,78 g and propylene Glycol 28,23 g. The stability test result show that the three formulas are stable as seen from the good organileptic and homogeneity test result with the A/M dosage type. The three formulas have a pH of 4,34, 4,47 and 4,71 and a viscosity value of R1, namely 6408, R2 7932, R3 namely 9408, which meets the requirement. Conclusion: The optimum formula was obtained from the concentration ratio, namely hydroxyethylcellulose 1,78 g and propylene Glycol 28,24 g.  
Optimization of Formulation and Physical Evaluation of Peel-Off Gel Face Mask from Clove Leaf Essential Oil (Syzygium aromaticum L.) Miftahul Jannah, Nadia; Prasetyo, Yogi
Journal of Food and Pharmaceutical Sciences Vol 13, No 1 (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.19942

Abstract

Acne is an inflammatory infection triggered by Propionibacterium acnes bacteria. Clove leaf essential oil (Syzygium aromaticum L.) has attracted attention as a potential active ingredient in skincare products, such as peel-off gel face masks, due to its anti-inflammatory properties. This study aims to develop a natural, effective, and safe skincare product for treating acne using clove leaf essential oil as the active ingredient. The active ingredient was 2% essential oil, with formulation optimization of PVA (1–2.5%) and propylene glycol (5–6.5%). The physical evaluation of the formulations included organoleptic properties, homogeneity, pH, spreadability, viscosity, and drying time. The optimum formulation of the peel-off gel face mask containing clove leaf essential oil was achieved with a PVA concentration of 1.163% and propylene glycol at 6.333%, with a desirability value of 1.000. The physical evaluation results of the optimum formula showed a pH value of 5.90, a spreadability of 6.60 cm, a drying time of 26.08 minutes, and a viscosity of 30,682.50 cps.
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

Abstract

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

Abstract

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.
Penyuluhan dan Pemberian Video Edukasi Penggunaan Sunscreen Pada Kalangan Remaja jannah, nadia miftahul; Vifta, Rissa Laila
Bengawan : Jurnal Pengabdian Masyarakat Vol 5 No 1 (2025): June
Publisher : Politeknik Indonusa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46808/jurnal_bengawan.v5i1.196

Abstract

Sunlight plays an important role in the formation of vitamin D, bones, and teeth. However, continuous exposure to UV rays has adverse effects on healthy skin. The Semarang area, Central Java is an area with a tropical climate that has high sunlight intensity. This is the basis for the use of sunscreen when doing activities indoors and outdoors. Sunscreen or sunscreen is a preparation that can reflect or absorb UV rays. The use of sunscreen since adolescence aims to protect the skin from UV exposure, and efforts to prevent premature aging and skin cancer. However, adolescents' knowledge about the types of UV rays, types of sunscreens, and the selection of SPF sunscreens that can be used for daily activities is still limited. Providing counseling and education related to sunscreen can be done as an effort to prevent the harmful effects of UV rays. The activity was carried out on students of SMA Muhammadiyah Gubug in October 2024. The instrument in providing the material was a PowerPoint containing educational materials and videos, while the Google Form platform was used to conduct the pre-test and post-test. The results of this community service showed an increase in students' knowledge of sunscreen use as seen from the pre- and post-test scores. The results showed an increase in respondents' knowledge (35%) before and after providing the material, so it can be said that the counseling and education were successful in increasing knowledge.
The Application of FTIR Spectroscopy Combined Chemometrics for Analysis of Keting Fish Oil in Binary Mixture with Patin Fish Oil and Palm Oil Nadia Miftahul Jannah; Abdul Rohman; Lily Arsanti Lestari
Journal of Food and Pharmaceutical Sciences Vol 11, No 3 (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.7955

Abstract

Keting fish (Mystus gulio) is a local fish from Indonesia. The quality of keting fish oil needs to be maintained to avoid counterfeiting. The use of Fourier transform infrared (FTIR) spectroscopy can be developed for quantitative analysis of keting fish oil (KFO) in binary mixtures with palm oil (PO) and patin fish oil (PFO). In this present research, PLS and PCR models were used to construct a multivariate calibration for the KFO content in the binary mixtures analyzed at fingerprint region frequencies of 1500-1000 cm-1. The results showed that PLS with second derivative FTIR spectra was well suited for quantitative analysis of KFO-PFO with a value of the coefficient of determination (R2) = 0.997 and the error expressed as root mean square error of calibration (RMSEC) = 0.0204. Meanwhile, R2 0.999 and RMSEC values obtained for KFO in a mixture with PO were and 0.0133. In general, FTIR spectroscopy serves as a suitable technique for the determination of KFO in mixtures with other oils.
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

Abstract

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.