Muhammad Taufik
Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Sumatera Utara, Medan, 20155, Indonesia

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Analysis of River Water Quality in Medan Belawan Regency based on the Diversity Index of Aquatic Insects as an Effort to Improve the Health of River Ecosystems from Heavy Metal Contamination (Ni) Muhammad Taufik; Helen Gandaria Situmorang; Zul Alfian
Journal of Chemical Natural Resources Vol. 7 No. 1 (2025): Journal of Chemical Natural Resources (JCNaR)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jcnar.v7i1.19478

Abstract

Heavy metals are often found in river water polluted by industrial processes. To separate heavy metals from river water, blood clam shells (Anadara granosa) are used as adsorbents. This study aims to analyze the determination of Belawan river water pollution based on the Aquatic Insect Diversity Index and analyze the content of heavy metal (Ni) in waste by utilizing blood clam shell waste as an adsorbent. The method used is solid phase extraction. Based on the diversity index data, the condition of the Belawan River waters in the Control area is not polluted (H' 2.18), Settlement Area 1 is lightly polluted (H' 1.94), Settlement Area 2 is lightly polluted (H' 1.70), Industrial Area 1 is moderately polluted (H' 1.47), and Industrial Area 2 is lightly polluted (H' 1.7). The percentage of heavy metal (Ni) absorption in Residential Area 1, Residential Area 2, Industrial Area 1, and Industrial Area 2 were respectively 28.57%, 33.33%, 31.11%, and 34.38%. This shows that blood cockles (Anadara granosa) are able to absorb Ni metal up to 34.38%. Ni levels < 0.05 mg/L so it can still be used (PP No. 22 of 2021).
Physicochemical Characterization of Kefir Combination from Goat Milk and Almond Milk Rini Hardiyanti; Muhammad Taufik; Alensia Estetika Manalu; Elsa Priskila; May Rifani Br Ginting; Zabdan Ahmad Arrazi
Journal of Chemical Natural Resources Vol. 7 No. 1 (2025): Journal of Chemical Natural Resources (JCNaR)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jcnar.v7i1.20472

Abstract

Kefir is a fermented milk that contains probiotic bacteria. It is made by adding kefir grain starter as a source of lactic acid bacteria. The combination of goat milk and almond milk, along with the addition of pineapple core extract, is an effort to enhance the nutritional value of probiotic kefir milk. The aim of this study is to determine the quality characteristics of the combined kefir made from almond milk and goat milk with varying milk ratios (30:70, 40:60, and 50:50%) and the effect of pineapple core extract on the combined kefir. The combination is expected to produce kefir with unique characetristics due to the nutritional differences between animal-based and plant-based milk. Quality characteristics include pH testing measured using a pH meter, viscosity testing using a Brookfield viscometer, titratable acidity (total acid) using an alkalimetric titration method, and protein content tested using the Kjeldahl method. The results obtained show that the combined kefir made from goat milk and almond milk with the addition of pineapple core extract affects the pH, viscosity, titratable acidity, and protein content. The optimal variation was obtained at a 40:60% ratio, with a pH of 3.7650 ± 0.0849, viscosity of 0.7410 ± 0.0283, titratable acidity (%) of 1.2043 ± 0.0636, and protein content of 1.3509% ± 0.0304.
Validation Method of 3,4-Methylenedioxymethamphetamine (MDMA) Analysis Using Gas Chromatography Mass Spectroscopy Muhammad Taufik; R.A. Fani Miranda; Andriayani Andriayani
Journal of Chemical Natural Resources Vol. 7 No. 1 (2025): Journal of Chemical Natural Resources (JCNaR)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jcnar.v7i1.21032

Abstract

MDMA is known as a narcotic and stimulant is a drug that is often abused, both in pill and powder form. Therefore, it is important to have an accurate and sensitive analysis method to detect the presence of MDMA especially in urine samples of drug users. In this work, optimization of the GC-MS method was carried out to obtain the best separation conditions and the highest sensitivity using the GCMS instrument. This study aims to develop a validation method for the analysis of 3,4-methylenedioxymethamphetamine (MDMA) using the Gas Chromatography-Mass Spectrometry (GCMS) technique. The results of the analysis showed that the accuracy, precision, linearity, limit of detection, limit of quantification and selectivity were respectively: 97.53%, 3.66%, R² ≥ 0.99, LOD 0.7 ppm, LOQ 2.35 ppm, and Rs 19.83. The results of the study showed that this method has good accuracy with acceptable precision values ​​and low enough LOD and LOQ to detect MDMA at appropriate concentrations. Thus, this validated GC-MS method can be effectively applied for the analysis of MDMA in various urine sample matrices, especially in the development of the field of analytical chemistry.