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Abdul Rohman.
Faculty of Pharmacy, Gadjah Mada University
Biochemistry, Genetics & Molecular Biology Chemistry Immunology & microbiology Medicine & Pharmacology

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Analysis of Melamine Using Electronic Nose, Gas Chromatography-Time of Flight - Mass Spectrometry and High Performance Liquid Chromatography Rohman., Abdul; Che Man, Yaakob B.; Hafidz, R. M.
Journal of Food and Pharmaceutical Sciences Vol 1, No 2 (2013): J. Food Pharm. Sci (May-August)
Publisher : Fakultas Farmasi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.106 KB) | DOI: 10.14499/jfps

Abstract

An  electronic  nose  (E-Nose)  has  been  used  as  rapid  analytical  technique  for  melamine detection  in  food  samples.  The  parameter  used  is melamine  retention  index  (MRI)  in  E-Nose  chromatogram.  The  value  of MRI  was  also  confirmed  using  two  dimensional  gas chromatography-time of flight-mass spectrometry (GCxGC-TOF-MS). The value of MRI using E-Nose and GCxGC-TOF-MS was nearly close  i.e 1486 and 1540 respectively. HPLC has been used  for  quantitative  analysis  of melamine  in  some milk  products  suspected  to  contain melamine using column Nova-Pak® C18;(150 x 3.9 mm  i.d; 4 µm) at 30°C. The mobile phase was  5 mmol  L−1  NaH2PO4  delivered  isocratically  at  flow  rate  of  1 mLmin-1 . Melamine was linear at concentration range of 0.0625 – 50.0 µg/ml with coefficient of determination (R2 ) of 0.999.
Review Article: Analysis of Emulsifier in Food Using Chromatographic Techniques Rohman., Abdul; Che Man, Yaakob B; Noviana, Eka
Journal of Food and Pharmaceutical Sciences Vol 1, No 3 (2013): J. Food Pharm. Sci (September-December)
Publisher : Fakultas Farmasi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.657 KB) | DOI: 10.14499/jfps

Abstract

Emulsifiers so far are important class of additives used in food products. Food industries and regulatory authorities have striven for the continuous development of analytical methods to determine the emulsifiers in foods. Chromatography is one of the powerful analytical techniques used in the analysis of food components due to its capability for the separation and quantitative analyses of emulsifiers. This article describes some chromatographic techniques, namely gas chromatography (GC), high performance liquid chromatography (HPLC), supercritical fluid chromatography (SFC), and planar chromatography for detection and quantification of emulsifiers in food. Sample preparation involved in the analysis of emulsifiers has been also highlighted.
Analytical method development of pitavastatin-loaded SNEDDS formulation: Multivariate analysis regarding ultraviolet spectrophotometry analysis Rohman., Abdul
Journal of Food and Pharmaceutical Sciences Vol 7, No 1-3 (2019): J. Food Pharm. Sci (January-December) In Press
Publisher : Fakultas Farmasi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.273 KB) | DOI: 10.14499/jfps

Abstract

Herein, this work aimed to develop and assess feasibility of multivariate model of partial least square analysis for specific quantification of pitavastatin (PVT)-loaded self-nano emulsion (SNE) formulation using UV-Vis spectrophotometry.    PVT loaded into self-nano emulsion formulation comprising of Capryol-90, Tween 80, and Transcutol P under different loading levels i.e. 10-90 mg/mL. All samples scanned using UV-Vis spectrophotometer from 300-200 nm. PVT and SNE were prepared separately for estimation of interference. Multivariate model was constructed using partial least square (PLS) regression analysis as well as principal component analysis for qualitative pattern recognition. Cross-validation using a leave one out technique and goodness of fit parameters were applied for model evaluation.    The results revealed that maximum sensitivity of PVT was obtained at 244 nm. SNE formulation had different interference value and decreased exponentially as increasing the PVT loading in the SNEDDS formulation. The highest drug loading had an interference value of 7.11%. Therefore, the SNEDDS formulation interfered the PVT quantification and mainly depended on the drug loading. Finally, multivariate analysis, PLS could be applied to eliminate the placebo/formulation interference for PVT quantification independently towards drug loading level.
Co-Authors Eka Noviana R. M. Hafidz Yaakob B Che Man Yaakob B. Che Man