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All Journal Indonesian Journal of Pharmaceutical Science and Technology Pharmacology and Clinical Pharmacy Research
Mutakin Mutakin
Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Universitas Padjadjaran, Indonesia
Computer Science & IT Medicine & Pharmacology

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Quantification of Formaldehyde Residue in Wet Noodles Marketed in Indonesia using RP-HPLC Derivatization Method Mutakin Mutakin; Renyiska Yula; Ida Musfiroh; Nuraeni Nuraeni; Nurdjanah Azinar; Jutti Levita
Indonesian Journal of Pharmaceutical Science and Technology Vol 6, No 1 (2019)
Publisher : Indonesian Journal of Pharmaceutical Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.264 KB) | DOI: 10.24198/ijpst.v6i1.18952

Abstract

Illegal practices of formaldehyde as preservatives in wet noodles have been proven. These formaldehyde-preserved wet noodles are sold in West Java, Indonesia. This compound may be harmful to the body due to a decreasing of blood pressure, coma, acidosis, and acute renal failure. In this study we proposed a quantification method using high performance liquid chromatography (HPLC). A simulation was carried out as comparison. This simulation comprised of formaldehyde-spiked fish then the process was continued by washing, frying, and distilling the fish in a closed-system distillation. Similar condition was applied onto wet noodles purchased from traditional markets in Bandung. Method used was RP-HPLC derivatization method based on the reaction of formaldehyde carbonyl with two different reagents of DNPH (2,4-dinitrophenylhydrazine) and Nash (acetyl acetone, ammonium acetate and acetic acid) reagents. Result showed that formaldehyde residue was detected and quantified in all wet noodle samples with a range of 21-59 ppm. In conclusion, this method can be used for routine analysis to control illegal practices of formaldehyde in wet noodles. Moreover, washing and frying the formaldehyde-preserved food were proven could significantly help reducing formaldehyde level in food.Keywords: 2,4-dinitrophenylhidrazine, formaldehyde, RP-HPLC, wet noodles
The Pharmacokinetic Drug-Drug Interactions of Andrographis paniculata and Ibuprofen in the Plasma of Healthy Oryctolagus cuniculus Rabbits Mutakin Mutakin; Sandra Megantara; Batari A. Larasati; Yogiyanto Yogiyanto; Jutti Levita; Slamet Ibrahim
Pharmacology and Clinical Pharmacy Research Vol 5, No 2
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.05 KB) | DOI: 10.15416/pcpr.v5i2.27508

Abstract

An HPLC method was developed and validated for the pharmacokinetic drug-drug interaction between Andrographis paniculata and ibuprofen in the plasma of Oryctolagus cuniculus rabbits after a single oral administration of the mixture. Nine healthy rabbits (6 males and 3 females, weight 1.68-2.42 kg) were acclimatized for 7 days and were randomly divided into 3 groups. At day-8th the rabbits were group (1) treated with a single oral administration of ibuprofen (dose of 28 mg/kg BW); group (2) treated with a single oral administration of Andrographis paniculata infusion (7.04 mL/kg BW); group (3) treated with a single oral administration of a mixture of Andrographis paniculata (7.04 mL/kg BW) infusion and ibuprofen (dose of 28 mg/kg BW). Plasma samples were prepared by collecting the blood from the marginal ear vein at 0, 30, 60, 90, and 120 minutes after the mixture administration, followed by centrifuging it for 30 minutes 3000 rpm. Chromatographic separation was performed on a LiChrosorb RP-18 with methanol and double-distilled water (70:30) as the mobile phase, flow rate 1 mL/minute. UV detection was set at 227 nm. The absorption and distribution of ibuprofen were fast (Tmax = 30 min; Cmax = 4.02962 mcg/mL), however, interestingly this drug could improve the absorption and distribution of andrographolide in Oryctolagus cuniculus rabbits
Co-Authors Batari A. Larasati Ida Musfiroh Jutti Levita MEGANTARA, SANDRA Nuraeni Nuraeni Nurdjanah Azinar Renyiska Yula Slamet Ibrahim Yogiyanto Yogiyanto