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All Journal Journal of Pharmaceutical and Sciences.
Sri Rahayu
Universitas Singaperbangsa Karawang, Jawa Barat, Indonesia.
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health

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Pengembangan Berbagai Metode Analisis Kadar Natrium Siklamat Pada Minuman Ringan Vriezka Mierza; Isyana Salsabila; Chalisya Vanya Advaita; Alfina Oktavianti; Sri Rahayu
Journal of Pharmaceutical and Sciences JPS Volume 6 Nomor 2 (2023)
Publisher : Fakultas Farmasi Universitas Tjut Nyak Dhien

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (185.873 KB) | DOI: 10.36490/journal-jps.com.v6i2.139

Abstract

Sodium cyclamate is an artificial sweetener that is often circulated in the community. Sodium Cyclamate has the advantage of a higher sweetness level ± 30 times that of cane sugar or sucrose at a price that is relatively more affordable than natural sweeteners. However, excessive use of cyclamate can cause health problems. The maximum level of cyclamate use regulated in Permenkes 772/Menkes/Per/IX/88 is 3g/L for food and beverages. This article review aims to find out the various methods that can be used in determining the level of sodium cyclamate in soft drinks. The method used in this article review is a literature study with primary data in the form of national journals from the Google Scholar databases that have inclusion and exclusion criteria. The keywords used in the literature search process are "Cyclamate Sodium Level Analysis" and "Soft Drinks". Based on 23 journals with 12 main journals thoroughly reviewed, it is known that there are several methods for determining sodium cyclamate levels in soft drinks, namely Alkalimetry, Gravimetry, UV-Vis spectrophotometer, and High-Performance Liquid Chromatography (HPLC). The best method for analyzing sodium cyclamate levels in soft drinks is KCKT because the KCKT method has high sensitivity and specificity and is very applicable to be used in various fields, one of which is the food industry.
Analisis Kualitatif Senyawa Parasetamol Pada Sampel Biologis Menggunakan Metode Gas Chromatography - Mass Spectrometry (GC-MS) Siti Nuriah; Mutia Desvi Putri; Sri Rahayu; Chalisya Vanya Advaita; Lina Nurfadhila; Marsah Rahmawati Utami
Journal of Pharmaceutical and Sciences JPS Volume 6 Nomor 2 (2023)
Publisher : Fakultas Farmasi Universitas Tjut Nyak Dhien

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (210.433 KB) | DOI: 10.36490/journal-jps.com.v6i2.158

Abstract

In this review article, an analysis was carried out regarding the use of the Gas Chromatography - Mass Spectrometry (GC-MS) method in the qualitative analysis of paracetamol compounds in various biological samples such as blood, serum, hair, and urine. Paracetamol is a non-opioid analgesic drug used to relieve mild to moderate pain. The method used in writing this article is a literature study using primary data in the form of national journals from the Google Scholar and Sinta databases. The search was carried out using keywords related to the qualitative analysis of paracetamol compounds using the GC-MS method on biological samples. The purpose of reviewing this article is to compare the treatment and preparation processes of various biological samples used in the qualitative analysis of paracetamol compounds using the Gas Chromatography - Mass Spectrometry (GC-MS) method, such as blood, serum, hair, and urine. The results of the study of several journals showed that there were several biological samples used in the qualitative analysis of paracetamol using the GC-MS method, namely blood, serum, hair and urine. Each biological sample has different preparation and extraction procedures according to the characteristics of the matrix. It can be concluded that of the four samples, hair samples can show positive results in a longer period of time while blood and urine samples can only provide drug information for a few days.
Co-Authors Alfina Oktavianti Chalisya Vanya Advaita Isyana Salsabila Lina Nurfadhila Marsah Rahmawati Utami Mutia Desvi Putri Siti Nuriah Vriezka Mierza