scholarly journals Spectroscopic studies of the quality of WCO (Waste Cooking Oil) fatty acid methyl esters

2018 ◽  
Vol 10 ◽  
pp. 02019 ◽  
Author(s):  
Arkadiusz Matwijczuk ◽  
Grzegorz Zając ◽  
Dariusz Karcz ◽  
Edyta Chruściel ◽  
Alicja Matwijczuk ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Molecular Spectroscopy ◽  
Methyl Esters ◽  
Waste Cooking Oil ◽  
Spectroscopic Studies ◽  
Electron Absorption ◽  
Animal Fats ◽  
Cooking Oil ◽  
Acid Methyl

Different kinds of biodiesel fuels become more and more attractive form of fuel due to their unique characteristics such as: biodegradability, replenishability, and what is more a very low level of toxicity in terms of using them as a fuel. The test on the quality of diesel fuel is becoming a very important issue mainly due to the fact that its high quality may play an important role in the process of commercialization and admitting it on the market. The most popular techniques among the wellknown are: molecular spectroscopy and molecular chromatography (especially the spectroscopy of the electron absorption and primarily the infrared spectroscopy (FTIR)).The issue presents a part of the results obtained with the use of spectroscopy of the electron absorption and in majority infrared spectroscopy FTIR selected for testing samples of the acid fats WCO (Waste Cooking Oil) types. The samples were obtained using laboratory methods from sunflower oil and additionally from waste animal fats delivered from slaughterhouses. Acid methyl esters were selected as references to present the samples. In order to facilitate the spectroscopic analysis, free glycerol, methanol, esters and methyl linolenic acid were measured

scholarly journals Spectroscopic Studies of the Quality of Fatty Acid Methyl Esters Derived from Waste Cooking Oil

2017 ◽  
Vol 26 (6) ◽  
pp. 2643-2650 ◽  
Author(s):  
Arkadiusz Matwijczuk ◽  
Grzegorz Zając ◽  
Radosław Kowalski ◽  
Magdalena Kachel-Jakubowska ◽  
Mariusz Gagoś
Keyword(s):  
Fatty Acid ◽  
Fatty Acid Methyl Esters ◽  
Methyl Esters ◽  
Waste Cooking Oil ◽  
Spectroscopic Studies ◽  
Cooking Oil ◽  
Acid Methyl

Biodiesel Production from Waste Cooking Oil in Laboratory Scale

2013 ◽  
Vol 448-453 ◽  
pp. 1656-1659 ◽  
Author(s):  
Lenka Blinová ◽  
Jozef Fiala ◽  
Karol Balog
Keyword(s):  
Vegetable Oils ◽  
Waste Cooking Oil ◽  
Laboratory Scale ◽  
Biodiesel Production ◽  
Animal Fats ◽  
Cooking Oil ◽  
By Products

Biodiesel is a product from the transesterification of alcohol and vegetable oils and animal fats. Biodiesel is a greener alternative to petroleum diesel. In this study was biodiesel produce from waste sunflower cooking oil. The quality of biodiesel which was purified for two steps was evaluated and compared with sample of biodiesel produced in company MEROCO. The transesterification of waste cooking oil was successfully but biodiesel after first purification wasnt carefully washed. We recommend using plenty of water for purification, approximately 30 % of the biodiesel volume. Washing of the biodiesel was found to be necessary for a better quality biodiesel and the effects were associated with the removal of residual by-products like excess alcohol, excess catalysts, soap and glycerine.

Identification of Methyl Ester Content from Waste Cooking Oil Using Gas Chromatographic Method

2014 ◽  
Vol 660 ◽  
pp. 297-300
Author(s):  
Nor Hazwani Abdullah ◽  
Sulaiman Hassan
Keyword(s):  
Gas Chromatography ◽  
Methyl Ester ◽  
Acid Methyl Ester ◽  
Waste Cooking Oil ◽  
Molar Ratio ◽  
Ionization Detector ◽  
Cooking Oil ◽  
Ester Content ◽  
Flame Ionization ◽  
Acid Methyl

Waste cooking oil has always been an environment problem in food factories and one method of effect disposing this oil without effecting the environment is to convert it to fatty acid methyl ester (FAME) using small scale pilot plant. The conversion of waste cooking oil with sodium hydroxide as a catalyst in conversional process at 22kHz speed. The reaction of time, molar ratio, speed, catalyst and amount of catalyst will be effect in FAME quality. The quality of biodiesel define is total ester content using gas chromatography. Gas chromatography analysis is a one of technique for identification and quantitation of compounds in a biodiesel sample. From biodiesel sample can identification of contaminants and fatty acid methyl ester. In this research biodiesel sample were analyses using a gas chromatography-flame ionization detector ( Perkin Elmer GC Model Clarus 500) equipped with a DB-5 HT capillary column ( 0.53mm x 5 m) J&W Scientific. The analytic conditions for ester content were as follow by: column temperature used 2100C, temperature flame ionization detector (FID) of 2500C, pressure of 80kPa, flow carrier gas of 1ml/min, temperature injector of 2500C, split flow rate of 50ml/min, time for analysis 20 minute and volume injected of 1 μl. The ester content (C), expresses as a mass fraction in present using formula (EN 14103, 2003a) calculation. Conversion of triglyceride (TG) to FAME using conversional process obtained 96.54 % w.t with methanol to oil molar ratio 6:1, 1%w.t acid sulphuric and 1% w.t sodium hydroxide catalyst.

scholarly journals Optimization and Mathematical Modeling of Biodiesel Production using Homogenous Catalyst from Waste Cooking Oil

2019 ◽  
Vol 9 (1) ◽  
pp. 1733-1739
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Reaction Time ◽  
Waste Cooking Oil ◽  
Process Variables ◽  
Cooking Oil ◽  
Acid Methyl ◽  
Artificial Neural ◽  
Homogenous Catalyst ◽  
Catalyst Load

In the present investigation, the transesterification of waste cooking oil (WCO) to biodiesel over homogenous catalyst KOH have been carried out. To optimize the transesterification process variables both response surface method (RSM) and artificial neural network (ANN) mathematical models were applied to study the impact of process variables temperature, catalyst loading, methanol to oil ratio and the reaction time on biodiesel yield. The experiments were planned with a central composite design matrix using 24 factorial designs. A performance validation assessment was conducted between RSM and ANN. ANN models showed a high precision prediction competence in terms of coefficient of determination (R2 = 0.9995), Root Mean Square Error (RMSE = 0.5702), Standard Predicted Deviation (SEP = 0.0133), Absolute Average Deviation (AAD = 0.0115) compared to RSM model. The concentration of catalyst load was identified as the most significant factor for the base catalyzed transesterification. Under optimum conditions, the maximum biodiesel yield of 88.3% was determined by the artificial neural network model at 60 ºC, 1.05 g catalyst load, 7:1 methanol to oil ratio and 90 min transesterification reaction time. The biodiesel was analyzed by GCMS and it showed the presence of hexadecanoic acid, 9- octadecenoic acid, 9, 12, 15-octadecatrienoic acid, eicosenoic acid, methyl 18-methyl-nonadecanoate, docosanoic acid, and tetracosanoic acid as key fatty acid methyl esters.

scholarly journals The Properties of Fuel and Characterization of Functional Groups in Biodiesel -Water Emulsions from Waste Cooking Oil and Its Blends

2020 ◽  
Vol 5 (1) ◽  
pp. 95-108
Author(s):  
Annisa Bhikuning ◽  
Jiro Senda Senda
Keyword(s):  
Fourier Transform ◽  
Alternative Fuels ◽  
Chemical Properties ◽  
Acid Methyl Ester ◽  
Waste Cooking Oil ◽  
Diesel Oil ◽  
Cooking Oil ◽  
Used Oil ◽  
Acid Methyl

Studying biodiesel as an alternative fuel is important for finding the most suitable fuel for the future. Biodiesel from waste cooking oil is one of the alternative fuels to replace fossil oil. Waste cooking oil is the used oil from cooking and is taken from hotels or restaurants. The emulsion of waste cooking oil and water is produced by adding water to the oil, as well as some additives to bind the water and the oil. In this study, the fuel properties of 100% biodiesel waste cooking oil  are compared to several blends by volume: 5% of biodiesel waste cooking oil blended with 95% diesel oil (BD5), 10% of biodiesel waste cooking oil blended with 90% of diesel oil (BD10), 5% of biodiesel waste cooking oil blended with 10% of water and 18.7% of additives (BDW18.7), and 5% of biodiesel waste cooking oil blended with 10% of water and 24.7% of additives (BDW24.7). The objectives of this study are to establish the properties and characteristics of the FTIR (Fourier-transform infrared spectroscopy) of biodiesel-water emulsions from waste cooking oil and to compare them to other fuels. The chemical properties of the fuels are analyzed by using the ASTM D Method and FTIR  to determine the FAME (fatty acid methyl ester) composition of biodiesel in diesel oil. The results showed that the addition of additives in the water-biodiesel oil increases the viscosity, density, and flash point. However, it decreased the caloric value due to the oxygen content in the fuel.

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