UPM Serdang

Kuala Perlis, Malaysia

UPM Serdang

Kuala Perlis, Malaysia
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Mohd Azrie A.,UPM Serdang | Luqman Chuah A.,UPM Serdang | Pin K.Y.,Malaysian Forest Research Institute | Ta H.P.,Malaysian Forest Research Institute
Journal of Chemical and Pharmaceutical Research | Year: 2014

This study aimed to ascertain the effect of solvents on the extraction of some bioactive compound from Kacip Fatimah (Labisia pumila) leaves was investigated. The main compound identified using High Performance Liquid Chromatography was gallic acid. Thus, the solvents tested were water (H2O), ethanol (EtOH), ethyl acetate (EA) and hexane (Hex) as the extraction solvents with 40 °C temperature and four hour extraction time using Solid Liquid Extraction (SLE). Result showed that water was the best solvent for extraction of Kacip Fatimah (Labisia pumila) gave higher yield (13.42 wt. %) followed by ethanol (5.96 wt. %), ethyl acetate (2.46 wt. %) and hexane (1.29 wt. %). This is believed to give good information for particular extraction processes in different polarities of solvents. © 2014, Journal of Chemical and Pharmaceutical Research. All rights reserved.

Chong M.H.,UPM Serdang | Jaafar H.,UPM Serdang | Hasan W.Z.W.,UPM Serdang | Shafie S.,UPM Serdang | And 2 more authors.
Journal of Theoretical and Applied Information Technology | Year: 2013

Force sensor (or pressure sensor) has gained increasing interest among the researchers. Using the Microelectromechanical Systems or MEMS technology, the size of the force sensor can be miniaturized and this ignites more possible application in the field of biomedical and robotic applications. Recent researches show the application of force sensor on the prosthetic hand, an artificial limb connected to an amputated person. This paper presents on simulating the sensitivity of the thick film force sensor using IntelliSuite software. The force sensor is realized by using the piezoresistive material on the cantilever structure.There are three force sensor designs are simulated. Two of the designs are simulated using glass as substrate, and while the remaining one is of alumina substrate. The sensitivity simulated is much smaller compared to the estimations made using equations. The simulations show that the glass sensor fares better than the alumina sensor. If the substrate is the same, the sensor with the bigger dimension has better sensitivity. © 2005 - 2013 JATIT & LLS. All rights reserved.

Dom Z.M.,UPM Serdang | Chuan L.T.,UM Kuala Lumpur | Yusoff R.,UM Kuala Lumpur
Journal of Engineering Science and Technology | Year: 2014

Medium-chain acylglycerols (or glycerides) are formed of mono-, di- and triacylglycerol classes. In this study, an alternative method to produce MCA from esterifying palm oil fatty acid distillate (PFAD) with the presence of oil palm mesocarp lipase (OPML) which is a plant-sourced lipase and PFAD is also cheap by-product is developed in a packed bed reactor. The production of medium-chain acylglycerols (MCA) by lipase-catalysed esterification of palm oil fatty acid distillate with glycerol are optimize in order to determine the factors that have significant effects on the reaction condition and high yield of MCA. Response surface methodology (RSM) was applied to optimize the reaction conditions. The reaction conditions, namely, the reaction time (30-240 min), enzyme load (0.5-1.5 kg), silica gel load (0.2-1.0 kg), and solvent amount (200-600 vol/wt). Reaction time, enzyme loading and solvent amount strongly effect MCA synthesis (p<0.05). However, water absorbent (silica gel) loading did not have significant (p>0.05) influence on MCA yield. Best-fitting models were successfully established for MCA yield (R2 =0.9133). The optimum MCA yield were 75% from the predicted value and 75.4% from the experimental data for 6 kg enzyme loading, a reaction time of 135min and a solvent amount of 350 vol/wt at 65°C reaction temperature. Verification of experimental results under optimized reaction conditions were conducted, and the results agreed well with the predicted range. Esterification products (mono-, di- and triacylglycerol) from the PBR were identified using Thin Layer Chromatography method. The chromatograms showed the successful fractionation of esterified products in this alternative method of process esterification. © School of Engineering, Taylor's University.

Hafiz A.W.M.,UPM Serdang | Hafiz A.W.M.,Strategic Livestock Research Center | Idris I.,UPM Serdang | Yaakub H.,UPM Serdang
Pakistan Journal of Biological Sciences | Year: 2014

The objective of this study was to determine the growth pattern for body weight, hip height and body length using non-linear model and the correlation between the parameters in Brakmas cows. Cross-sectional data of body weight, hip height and body length of 363 heads of Brakmas cows were collected to determine the growth pattern using Brody and Gompertz growth model. The results showed that Gompertz growth function had the best goodness of fit to describe the growth of Brakmas cattle for body weight, hip height and body length as shown by its high coefficient of determination (0.96, 0.99 and 0.99, respectively). Brody model estimated higher mature sizes compared to Gompertz model as the rate of maturing derived by Brody model are lower for the parameters as shown by negative correlation between mature size and maturing. Body length-body weight has the highest correlation coefficient (0.95) and hip height-body weight showed the lowest relationship (0.92). © 2014 Asian Network for Scientific Information.

Gomesh N.,University Malaysia Perlis | Syafinar R.,University Malaysia Perlis | Irwanto M.,University Malaysia Perlis | Irwan Y.M.,University Malaysia Perlis | And 3 more authors.
Advanced Materials Research | Year: 2014

Dye-sensitized solar cell (DSSC) is part of the thin film family that consists of a TiO2 electrode coating which acts as a photo electrode, sensitizer from dye molecules soaked in the TiO2 film, electrolyte layer and a counter electrode. This paper focuses on the usage of a sensitizer from the rose flower and will review some of the research conducted on dye sensitizers from other researcher. Rose flower also known as woody perennial of the genus Rosa, within the family Rosaceae is extracted and were used as sensitizer to fabricate dye sensitized solar cell (DSSC). The photoelectrochemical performance of Rose sensitized solar cell shows parameter of open circuit voltage, VOC, short circuit current, (ISC), fill factor (FF), solar cell efficiency (η), and peak absorbance rate as much as 0.13 V, 57.58 μA, 0.58, 0.85% and 3.5 at 550nm respectively. The photoelectrochemical performance of DSSC and the usage of natural sensitizer from Rose flower dye demonstrate good potential to be applied as a sensitizer yet detail investigations are essential in terms of its applicability for long term application. © (2014) Trans Tech Publications Switzerland.

Gomesh N.,University Malaysia Perlis | Arief Z.M.,University Malaysia Perlis | Syafinar R.,University Malaysia Perlis | Irwanto M.,University Malaysia Perlis | And 4 more authors.
Advanced Materials Research | Year: 2014

Dye Sensitized Solar Cells (DSSC) is another kind of solar cell from the third generation that forms a photovoltaic. DSSC is designed to reduce cost from usage of expensive material in conventional solar panels. The purpose of this project is to fabricate and compare dye sensitized solar cells (DSSC) by using organic dye from blueberry and blue dye from chemical substances. The DSSC is fabricated using 'Doctor Blade' method. Results are based on investigating the electrical performance and characteristic of the fabricated TiO2 solar cell based on these comparisons of dyes in order to investigate the potential of organic dyes as a light absorbing mechanism. The required data that is investigated are the open circuit voltage, Voc, short circuit current, Isc, fill factors, solar cells efficiency and UV absorption. Result shows good potential in the blueberry dyes as a sensitizer but further investigation is needed in order to fully understand the characteristic of these organic dyes. © (2014) Trans Tech Publications Switzerland.

Nasir M.F.M.,UPM Serdang | Zali M.A.,UPM Serdang | Juahir H.,UPM Serdang | Hussain H.,Environment Institute of Malaysia | And 2 more authors.
Iranian Journal of Environmental Health Science and Engineering | Year: 2012

Recent techniques in the management of surface river water have been expanding the demand on the method that can provide more representative of multivariate data set. A proper technique of the architecture of artificial neural network (ANN) model and multiple linear regression (MLR) provides an advance tool for surface water modeling and forecasting. The development of receptor model was applied in order to determine the major sources of pollutants at Kuantan River Basin, Malaysia. Thirteen water quality parameters were used in principal component analysis (PCA) and new variables of fertilizer waste, surface runoff, anthropogenic input, chemical and mineral changes and erosion are successfully developed for modeling purposes. Two models were compared in terms of efficiency and goodness-of-fit for water quality index (WQI) prediction. The results show that APCS-ANN model gives better performance with high R2value (0.9680) and small root mean square error (RMSE) value (2.6409) compared to APCS-MLR model. Meanwhile from the sensitivity analysis, fertilizer waste acts as the dominant pollutant contributor (59.82%) to the basin studied followed by anthropogenic input (22.48%), surface runoff (13.42%), erosion (2.33%) and lastly chemical and mineral changes (1.95%). Thus, this study concluded that receptor modeling of APCS-ANN can be used to solve various constraints in environmental problem that exist between water distribution variables toward appropriate water quality management. © 2012 Nasir et al.

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