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All Journal Jurnal Kedokteran Brawijaya Alchemy : Journal of Chemistry Jurnal Ilmu Kimia Universitas Brawijaya Indonesian Green Technology Journal Natural B The Journal of Pure and Applied Chemistry Research EduChemia: Jurnal Kimia dan Pendidikan Science and Technology Indonesia Indonesian Journal of Chemistry Jurnal Fish Protech JKPK (Jurnal Kimia dan Pendidikan Kimia) Rengganis Jurnal Pengabdian Masyarakat Jurnal Sains dan Teknologi Makara Journal of Science International Journal of Renewable Energy Development al Kimiya : Jurnal Ilmu Kimia dan Terapan
Akhmad Sabarudin
Laboratory of Analytical Chemistry, Chemistry Department, Brawijaya University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Journal : Makara Journal of Science

 1 
Determination of Total Ammonia Nitrogen by Gas-Diffusion Flow Injection Analysis (GD-FIA)-Spectrophotometry using Minnieroot Flower (Ruellia tuberosa) as Natural Reagent Putri, Lani Artana; Mufidah Sari, Puspita; Sulistyarti, Hermin; Sabarudin, Akhmad; Sulistyo, Erwin
Makara Journal of Science Vol. 26, No. 4
Publisher : UI Scholars Hub

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Total ammonia nitrogen (TAN) is a pollutant agent found in water and generated from the metabolisms of living organisms and the decomposition of organic matter. This research aims to develop an efficient, low-cost, and environmentally friendly TAN analysis method. The principle of this method is based on the reaction of TAN injected in the donor stream with NaOH to form alkaline gaseous ammonia. The gaseous ammonia diffuses through a hydrophobic membrane into an acceptor stream containing Ruellia tuberosa extract. The presence of NH3 gas in the acceptor stream changes the extract color from pinkish to green, which is monitored by spectrophotometer at 620 nm. This method was also validated based on linearity, selectivity, and accuracy. Under the obtained optimum conditions of 1 M NaOH, 5% extract, a 120 cm mixing coil, and a 200 µL sample volume, the proposed method showed excellent linearity at 10–1000 ppm (R2 = 0.993). The selectivity test result shows that this method was selective against sulfite and nitrite compounds up to 600 ppm with a % error value <10%. This method was applied to measure the total ammonia concentration in agricultural water, and satisfying results were shown by high recoveries of 95.03%–98.84%.
Enzyme-Free Colorimetric Sensing of Glucose using Silver Nanoparticles with a Green Stabilizing Agent from Capsicum chinense Jacq Extract Putra, Boyfannie Ivan; Sulistyarti, Hermin; Utama, Muhammad Mashuri; Haryanto, Aura Ananda; Retnowati, Rurini; Rafi, Mohamad; Sabarudin, Akhmad
Makara Journal of Science Vol. 29, No. 4
Publisher : UI Scholars Hub

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Diabetes mellitus (DM) is a significant global health issue characterized by abnormal glucose levels in the human body. DM diagnostics are often based on invasive sampling from blood, which poses a potential risk of infection and tissue damage. Therefore, a non-enzymatic and non-invasive method for glucose monitoring is demanded as a simple alternative to glucose detection in urine samples. In this work, enzyme-free glucose determination is based on the formation of silver nanoparticles stabilized by Capsicum chinense Jacq extract (CCJ-AgNPs). Under alkaline conditions, glucose functions as a reducing agent for silver ions, and the extract acts as a stabilizer to prevent agglomeration. The effect of reaction time, extract concentration, NaOH concentration, and AgNO3 concentration was studied to determine the optimum conditions for glucose sensing (reaction time: 5 min, extract volume: 2 mL, NaOH concentration: 0.05 M, and AgNO3 concentration: 0.2 mM). The linearity of glucose determination was obtained from 0 to 900 mg/L with LOD and LOQ of 1 and 5 mg/L, respectively. The proposed method demonstrated good selectivity against citric acid, NH4Cl, NaCl, H2PO4, and urea at a concentration of 100 mg/L, with good accuracy for the recovery test, ranging from 93.7% to 101.8%. This method can serve as an alternative approach for simple, non-invasive, and non-toxic glucose monitoring in human urine with high sensitivity and specificity.
Co-Authors 'Aisy, Kamila Rohadatul Abdan, Ahmad Multazam Ani Mulyasuryani Arie Srihardyastutie Athiyah, Izzatul Audina Hardiyanti, Shova Aulanni’am Baiq Octaviana Dwi Anggraeny Barlah Rumhayati Darjito Darjito Diah Mardiana Edi Widjajanto Eka Ratri Noor Wulandari Elok Kamilah Hayati Elvina Dhiaul Iftitah Erwanto Erwin Sulistyo Fadhila, Salma Iza Fahmi, Ahmad Luthfi Fiddaroini, Saidun Hani Susanti, Hani Haryanto, Aura Ananda Hermin Sulistyarti Hidayaty, Alfianita Nuril Hikmanita Lisan Nashukha Ibrahim, Moh. Nuh Iftitah, Elvina D. Ika Oktavia Wulandari Ikhsan, Aqshal Nur Kasanah, Izza Lailatul Khabibi, Bhisma Wildan Khanifah, Nurul Layta Dinira Layta Dinira Lukman Hakim M. Rafi Madaniyah, Luailik Moh. Farid Rahman Mohamad Nur Ibrahim Mohamed Abousa Gaza Mufidah Sari, Puspita Nalle, Ferry Chrismiadi Nugraha, Hedhi Setya Nur Permatasari Nur Samsu Okky Anggraito Pratikno, Mochammad Yosi Putra, Boyfannie Ivan Putri, Krista Firdaus Suwarno Putri, Lani Artana Qonitah Fardiyah Raeni, Septi F. Rafif, Sullahudin Ahmad Rafika, Nilna Assasiatur Rahayu, Lale B Rahayu, Lale Budi Hutami Riva’i, Imam Roja’i, Abdul Munir Rurini Retnowati Salsabila, Isadora Evani Santjojo, Djoko Harry Setyawan Purnomo Sakti Silvi Avianti Indriana Suci Amalia Ulayya, Salwa Utama, Muhammad Mashuri Vita Tria Mardila Warsito Warsito Yudha Ikoma Istanti