Simultaneous Determination of Fatty Acid Methyl Esters Contents in the Biodiesel by HPLC-DAD Method

Similar documents
GC/MS Analysis of Trace Fatty Acid Methyl Esters (FAME) in Jet Fuel Using Energy Institute Method IP585

Impurity Testing of Fixed-Dose Combination Drugs Using the Agilent 1290 Infinity II HDR-DAD Impurity Analyzer Solution

GC Analysis of Total Fatty Acid Methyl Esters (FAME) and Methyl Linolenate in Biodiesel Using the Revised EN14103:2011 Method

Increased sensitivity and reproducibility in the analysis of trace fatty acid methyl esters in jet fuel

Study of viscosity - temperature characteristics of rapeseed oil biodiesel and its blends

Gas Chromatographic Analysis of Diesel Fuel Dilution for In-Service Motor Oil Using ASTM Method D7593

High Sensitivity UHPLC-DAD Analysis of Azo Dyes using the Agilent 1290 Infinity LC System and the 60 mm Max-Light High Sensitivity Flow Cell

A Single Method for the Direct Determination of Total Glycerols in All Biodiesels Using Liquid Chromatography and Charged Aerosol Detection

Free and Total Glycerol in B100 Biodiesel by Gas Chromatography According to Methods EN and ASTM D6584

Methanol in Biodiesel by EN14110 with the HT3 and Versa Automated Headspace Analyzers. Versa HT3. Application Note. Abstract.

Determination of Sudan Dyes I IV in Curry Paste

Analysis of Glycerin and Glycerides in Biodiesel (B100) Using ASTM D6584 and EN Application. Author. Abstract. Introduction

Application Note. Author. Abstract. Energy & Chemicals - Petrochemicals. Edgar Naegele, Agilent Technologies, Inc. Waldbronn, Germany

Determination of fuel system icing inhibitor content of aviation turbine kerosine by HPLC

Phase Distribution of Ethanol, and Water in Ethyl Esters at K and K

Detection of Sulfur Compounds in Natural Gas According to ASTM D5504 with an Agilent Dual Plasma Sulfur Chemiluminescence Detector

Study on crystallization mechanism of saturated fatty acid methyl ester in biodiesel

Optimization for Community Biodiesel Production from Waste Palm Oil via Two-Step Catalyzed Process

[ APPLICATION NOTE ] INTRODUCTION APPLICATION BENEFITS WATERS SOLUTIONS KEYWORDS

Agilent Solutions for the Petrochemical and Oleochemical Industries

Optimized Method for Analysis of Commercial and Prepared Biodiesel using UltraPerformance Convergence Chromatography (UPC 2 )

Application Note. Author. Introduction. Energy and Fuels

Determination of Free and Total Glycerin in B100 Biodiesel

Analysis of biodiesel oil (as per ASTM D6751 & EN 14214) using the Agilent 5100 SVDV ICP-OES

Meeting the Requirements of EN12916:2006 (IP391/07) Using Agilent 1200 Series HPLC Systems

4001 Transesterification of castor oil to ricinoleic acid methyl ester

The Agilent 1200 Series high perfor- mance autosampler SL: Area precision, injection volume linearity, minimum accessible volume, carry-over

AppNote 1/2010 KEYWORDS ABSTRACT. Biodiesel, Automation, ASTM D

Study on the compatibility of rubber materials in biodiesel derived from cottonseed oil

Agilent 7696A Sample Prep WorkBench Automated Sample Preparation for the GC Analysis of Biodiesel Using Method EN14105:2011

Application Note. Abstract. Authors. Environmental Analysis

Determination of phase diagram of reaction system of biodiesel

High Throughput Mineral Oil Analysis (Hydrocarbon Oil Index) by GC-FID Using the Agilent Low Thermal Mass (LTM) System

Separating dimethylbenzene and butyl acetate

Determination of Free and Total Glycerin in Pure Biodiesel (B100) by GC in Compliance with EN 14105

Fast and Reliable Trace Gas Analysis Improved Detection Limits for the Agilent 490 Micro GC

High Temperature Simulated Distillation Performance Using the Agilent 8890 Gas Chromatograph

Application Note. Authors. Abstract. Energy & Chemicals

Application Note. Determination of Oxygenates in C2, C3, C4 and C5 hydrocarbon Matrices according ASTM D using AC OXYTRACER

Prodigy ICP Application Note: # 1039

Effects Of Free Fatty Acids, Water Content And Co- Solvent On Biodiesel Production By Supercritical Methanol Reaction

Conventional Homogeneous Catalytic Process with Continuous-typed Microwave and Mechanical Stirrer for Biodiesel Production from Palm Stearin

Application. Gas Chromatography June 1995

Biodiesel from Various Vegetable Oils as the Lubricity Additive for Ultra Low Sulphur Diesel (ULSD)

Saddam H. Al-lwayzy. Supervisors: Dr. Talal Yusaf Dr. Paul Baker Dr. Troy Jensen 3/24/2013 1

Keywords: Simarouba Glauca, Heterogeneous base catalyst, Ultrasonic Processor, Phytochemicals.

AppNote 6/2006. Ultra-Fast Determination of the Hydrocarbon Oil Index by Gas Chromatography using a Modular Accelerated Column Heater (MACH) KEYWORDS

MET-Biodiesel Capillary GC Columns

INTEREST OF HPTLC FOR FOSSIL DERIVED PRODUCTS ANALYSIS : A SIMPLE APPROACH TO HYDROCARBON GROUP TYPE ANALYSIS

POLLUTION CONTROL AND INCREASING EFFICIENCY OF DIESEL ENGINE USING BIODIESEL

COMPARISON OF FATTY ACID COMPOSITIONS AND FUEL CHARACTERISTICS OF BIODIESELS MADE FROM ISOCHRYSIS GALBANA LIPIDS AND FROM USED COOKING OIL

Analysis of Fatty Acid Methyl Esters (FAMES), and Examination of Biodiesel Samples for these Components, by GCxGC-FID

RESEARCH REPORT PRODUCTION OF BIODIESEL FROM CHICKEN FAT WITH COMBINATION SUBCRITICAL METHANOL AND WATER PROCESS

Optimization of the Temperature and Reaction Duration of One Step Transesterification

Production of Biodiesel from Used Groundnut Oil from Bosso Market, Minna, Niger State, Nigeria

Alternative Carrier Gases for ASTM D7213 Simulated Distillation Analysis

The Analysis of Biodiesel for Inorganic Contaminants, including Sulfur, by ICP-OES

Achieving Higher Sensitivities Using GC-FID with the Agilent Multimode Inlet (MMI)

SUPPRESSION IN ANALYSIS OF ARTIFICIAL SWEETENERS WITH

High-Temperature Simulated Distillation System Based on the 6890N GC Application

Group-Type Analysis (PiPNA) in Diesel and Jet Fuel by Flow Modulated GCxGC FID.

Biodiesel from soybean oil in supercritical methanol with co-solvent

Voting Draft Standard

Rapid Determination of 54 Kinds of Pesticide Residues in Vegetables by PTV-GC-MS/MS

High-throughput protein aggregate analysis of monoclonal antibodies using a novel dual-channel UHPLC instrument

Totally Automated Method for the Determination of Sudan Dyes in Food via On-Line Filtration, SPE and HPLC Analysis

BIODIESEL DEVELOPMENT FROM HIGH FREE FATTY ACID PUNNAKKA OIL

Evaluation of Total Petroleum Hydrocarbon in Soil Using LC with Fraction Collector and GC/MS

DETERMINATION OF N-BUTANOL AND ISOBUTANOL IN GASOLINE USING GAS CHROMATOGRAPHY (GC-FID)

Correlation of Occupant Evaluation Index on Vehicle-occupant-guardrail Impact System Guo-sheng ZHANG, Hong-li LIU and Zhi-sheng DONG

Experimental Investigation and Modeling of Liquid-Liquid Equilibria in Biodiesel + Glycerol + Methanol

Stability, Linearity and Repeatability of Nitrogen Determination by Flash Combustion using Argon as Carrier Gas

Research Article. Synthesis of biodiesel from waste cooking oil by two steps process transesterification and ozonation

International Journal of ChemTech Research CODEN (USA): IJCRGG ISSN: Vol.7, No.4, pp ,

Fast Simulated Distillation Based on Agilent 6890N Gas Chromatograph Application

Using a New Gas Phase Micro-Fluidic Deans Switch for the 2-D GC Analysis of Trace Methanol in Crude Oil by ASTM Method D7059 Application

Alliance HPLC DEFINED BY DEPENDABILITY, TODAY AND IN THE FUTURE

Application Note. Authors. Abstract

CHAPTER 1 INTRODUCTION

Dual Plasma Sulfur and Nitrogen Chemiluminescence Detectors. Unsurpassed Stability, Selectivity, and Sensitivity for your GC Analysis

Enzymatic Alholysis For Biodiesel Production From Waste Cooking Oil

Production of Biodiesel from Waste Oil via Catalytic Distillation

Abstract Process Economics Program Report 251 BIODIESEL PRODUCTION (November 2004)

Online sample cleanup on the Agilent 1290 Infinity LC using a built in 2-position/6-port valve

ASTM D Standard Specification for Biodiesel Fuel (B 100) Blend Stock for Distillate Fuels

Using the PSD for Backflushing on the Agilent 8890 GC System

Detection of Volatile Organic Compounds in Gasoline and Diesel Using the znose Edward J. Staples, Electronic Sensor Technology

Quantitative Analysis of Chemical Compositions from Various Sources of Crude Glycerine

Technical Procedure for Gas Chromatography (GC-FID)

PERFORMANCE CHARACTERISTICS OF WASTE COOKING OIL PRODUCED BIODIESEL/DIESEL FUEL BLENDS

Tallow waste utilization from leather tanning industry for biodiesel production

VERITY Purification Systems Build the perfect system to fit your research

APPLICATION OF SOLID PHASE MICROEXTRACTION (SPME) IN PROFILING HYDROCARBONS IN OIL SPILL CASES

Dual Channel Simulated Distillation of Carbon and Sulfur with the Agilent 7890A GC and 355 Sulfur Chemiluminescence Detector

Reaction Parameters and Energy Optimisation for Biodiesel Production Using a Supercritical Process

Proposal to Determine Various Properties of Biodiesel Fuels Based on Methyl Ester. Composition. Jason Freischlag. Dr. Porter Chem /25/2013

A Rapid imethodtm Test for Analysis of Acid Herbicides in Water

DOCUMENT NUMBER JSM0269. TEST GUIDELINE EPA OPPTS Guideline AUTHOR Stephen Brewin. STUDY COMPLETION DATE October 4, 2012

Experience of truck fleets with BioDiesel made from animal fats as compared to rapeseed oil methyl ester

Analysis of Petroleum Samples Using the Teledyne Leeman Labs

Transcription:

2016 International Conference on Applied Mechanics, Mechanical and Materials Engineering (AMMME 2016) ISBN: 978-1-60595-409-7 Simultaneous Determination of Fatty Acid Methyl Esters Contents in the Biodiesel by HPLC-DAD Method Yan-gang HAN 1,2,*, Yan LU 1, Shang-fu LIAO 1, Hong-bo CHEN 2, De-qing YU 1, Ming YANG 1 and Zheng-jie MO 1 1 Zhejiang Fangyuan Test Group Co., Ltd., Xiasha Road 300#, Hangzhou 310018, China 2 Zhejiang Institute of Quality Inspection Science, Xiasha Road 300#, Hangzhou 310018, China *Corresponding author Keywords: Fatty acid methyl ester, Biodiesel, HPLC analysis, DAD. Abstract. This paper presents a reliable method for simultaneous analysis of ten kinds of fatty acid methyl esters in biodiesel with high performance liquid chromatography equipped with diode array detector. The separation column was a Pursuit XRs C18 (250 mm 4.6 mm) and the mobile phase was a mixture of methanol and acetonitrile (80:20, V/V). The analytical performance parameters such as linearity, accuracy, precision, limit of detection and limit of quantification were discussed. The calibration curves of ten components show good linearity with the correlation coefficient greater than 0.99. The proposed method is time and cost-effective, which could be used for the determination of the FAMEs in the commercial biodiesel product. Introduction With the increasing depletion of traditional petroleum resources and the improvement consciousness of environmental protection, biodiesel has become the focus of development in a steadily growing number of countries around the world because of its potential advantages in energy conservation and air pollution reduction [1-5]. According to its chemical nature, biodiesel is mainly composed of several kinds of fatty acid methyl esters (FAMEs) such as myristic acid methyl ester, palmitic acid methyl ester, stearic acid methyl ester, behenic acid methyl ester and so on [6]. It is stipulated in Chinese National Standard GB/T 20828-2015 <Biodiesel Blend Stock (BD100) for Diesel Engine Fuels> that the total content of esters should be no less than 96.5%, and the testing method cites that in Standard NB/SH/T 0831<Test method for determination of fatty acid methyl esters and linolenic acid methyl ester contents in biodiesel by gas chromatography>. However, the composition and content of biodiesel produced from diverse raw materials are different, which directly affect the applications of biodiesel and its subsequent products [7,8]. So it is very important to accurately determine the composition and content of fatty acid methyl esters in biodiesel, which is critical to the quality control of biodiesel and its subsequent products [9]. Gas chromatography (GC) has the advantage of high sensitivity, but has some limitations in the determination of samples with large molecular weight, high boiling point or low volatility [10]. In this paper, ten kinds of fatty acid methyl esters in biodiesel were determined simultaneously using high performance liquid chromatography (HPLC) with diode array detector (DAD). Experimental Instrumentation The HPLC system (model Agilent 1200) equipped with a silica-based column model Pursuit XRs C18 (250 mm 4.6 mm) was used. The HPLC system has a quaternionic pump, an autosampler, and a DAD (model Agilent G1315C). The DAD could supply the UV spectrum of 190-400 nm for every component in the HPLC separation.

Reagents and Solutions Methanol and acetonitrile were purchased from Tedia High Purity Solvents Co., Ltd. All solvents were of HPLC-grade and were used as obtained, without further purification. Ultrapure water was obtained from a Milli-Q Direct Water Purification System. FAME Standards The standards of ten kinds of FAMEs, including myristic acid methyl ester (C14:0), myristoleic acid methyl ester (C14:1), palmitic acid methyl ester (C16:0), stearic acid methyl ester (C18:0), oleic acid methyl ester (C18:1), linoleic acid methyl ester (C18:2), linolenic acid methyl ester (C18:3), arachidic acid methyl ester (C20:0), behenic acid methyl ester (C22:0) and erucic acid methyl ester (C22:1), were purchased from ANPEL Laboratory Technologies (Shanghai) Incorporated. These FAME standard solutions were prepared at the predetermined concentrations (100 µg/ml for every component) by dilution with methanol for HPLC analysis. Heptadecanoic acid methyl ester (C17:0) with the concentration of 50 µg/ml was used as the internal standard. HPLC Conditions The column temperature was kept constant at 35 o C. The mobile phase was a mixture of methanol and acetonitrile (80:20, V/V) at a flow rate of 1 ml/min. The injection volume of the samples was set at 10 µl. The detection wavelength was set at 210 nm. FAME standards and biodiesel samples were analyzed in duplicate to confirm the observations. Peaks of the samples were identified by comparing their UV spectra with those of FAME standards. Results and Discussion Chromatograms of Standard FAMEs The chromatograms of standard FAMEs under optimized conditions are shown in Figure 1. A good separation with distinct peak shapes was achieved within 35 min. Linearity Figure 1. HPLC chromatograms showing separation of standard FAMES. To determine linearity, FAME standard solutions were diluted at concentrations of 50, 100, 200, 500 and 1000 µg/ml. Every calibration solution was injected into HPLC in triplicate. The calibration curve was prepared by plotting the peak area against the concentration of the compound. Linearity was evaluated by linear regression analysis. Excellent linearity was observed in Table 1. The regression coefficients of the calibration curves obtained for all the FAMEs were more than 0.99, thereby confirming the linearity of the developed method.

Table 1. Regression parameters of the calibration curves (n=3). Component Linear equation Linear range (µg/ml) Correlation coefficient (R 2 ) C14:0 y=0.0409281x-0.311206 20-1000 0.99826 C14:1 y=0.0094424x+0.351527 50-1000 0.99484 C16:0 y=0.0184616x-0.00528564 50-1000 0.99908 C18:0 y=0.0156561x+0.0560138 50-1000 0.99766 C18:1 y=0.0255126x+0.0810414 10-1000 0.99983 C18:2 y=0.0773815x+0.489389 2-1000 0.99988 C18:3 y=0.273375x+1.3375 1-1000 0.99989 C20:0 y=0.00534692x+0.110549 400-10000 0.99896 C22:0 y=0.0152224x+0.233634 200-10000 0.99945 C22:1 y=0.0119958x+0.315426 200-10000 0.99699 Limits of Detection and Quantification Limits of detection (LOD) and quantification (LOQ) were calculated as follows: LOD=3 S/N LOQ=10 S/N where: S/N is the signal to noise ratio. The results for LOD and LOQ are listed in Table 2, which clearly indicate that the method has good sensitivity. Table 2. LOD and LOQ results of ten kinds of FAMEs. Component LOD (µg/ml) LOQ (µg/ml) C14:0 4.939144 16.46381 C14:1 13.94741 46.49138 C16:0 15.37585 51.25284 C18:0 21.65827 72.19422 C18:1 1.977727 6.592423 C18:2 0.4995 1.664998 C18:3 0.117505 0.391685 C20:0 103.393 344.6434 C22:0 39.90225 133.0075 C22:1 37.51673 125.0558 Precision and Accuracy The recoveries were determined by the method of standard addition. Two known concentrations of each of the ten standards were spiked into the sample. Six replicate analyses were run for all the ten standards at defined concentrations. The precision was expressed in terms of RSD. The accuracy was expressed as the percentage of the analyte concentration measured in each sample relative to the known amount of the analyte spiked to the sample. The precision and accuracy data are listed in Table 3. The proposed method was found to be precise and accurate.

Table 3. Precision and accuracy data of ten kinds of FAMEs (n=6). Component Spiked level (µg/ml) Recovery (%) RSD (%) C14:0 1096 103.1 3.89 C14:1 1040 82.1 8.08 C16:0 1374 93.5 4.98 C18:0 9.8 106 5.18 C18:1 591.6 92 3.31 C18:2 758.4 94.1 3.56 C18:3 608.4 88.5 1 C20:0 16990 92.9 2 C22:0 15440 89.7 1.98 C22:1 554.8 86.9 2 Method Application The proposed method was used to evaluate the contents of ten kinds of FAMEs in the commercial biodiesel obtained from Zhejiang Eastriver Energy S&T Co., Ltd.. The biodiesel was pretreated by water extraction and filtration with 0.45 µm organic membrane, and injected into HPLC for analysis. The results are presented in Table 4. Table 4. FAMEs contents in the commercial biodiesel. Component Content (%) C14:0 3.7642 C14:1 3.6702 C16:0 0.7328 C18:0 0.4846 C18:1 3.2535 C18:3 85.657 Summary Ten kinds of FAMEs in biodiesel could be analyzed simultaneously by HPLC-DAD method. The analytical procedure has a 35 min chromatographic run time, which allows the analysis of a large number of samples in a short period of time. The calibration curves were linear over the concentration range. The methodology was also accurate and precise as observed from the recovery and RSD values, which made it reliable and practical for quantification of various FAMEs in biodiesel. References [1] A. Demirbas, I. Demirbas, Importance of rural bioenergy for developing countries, Energy Conversion and Management 48 (2007) 2386-2398. [2] M. Balat, Production of biodiesel from vegetable oils: a survey, Energy Sources Part A 29 (2007) 895-913. [3] Z.L. Zhang, J.B. Ji, Research progress of feedstocks and deep-processing technologies for biodiesel, Chemical Industry and Engineering Progress 33 (2014) 2909-2915. [4] L.C. Meher, S.D. Vidya, S.N. Naik, Technical aspects of biodiesel production by transesterification a review, Renewable & Sustainable Energy Reviews 10 (2006) 248-268. [5] A. Demirbas, New biorenewable fuels from vegetable oils, Energy Sources Part A 32 (2010) 628-636.

[6] Y. Li, J. Zeng, W. Du, D.H. Liu, Progress and prospect of biodiesel industry in China, Chinese Journal of Biotechnology 31 (2015) 820-828. [7] S.N. Shi, L.Y. Jin, R.M. Pei, C.Y. Liu, C.Z. Qiao, Analysis of fatty acid methyl ester in the biodiesel, Chemical Research 27 (2016) 85-87. [8] X.C. Wang, J.H. Fang, B.S. Chen, E.Y. Chen, L. Chen, J. Wang, Effect of unsaturated fatty acid methyl esters on oxidation and lubrication performance of diesel engine oil, China Oils and Fats 40 (2015) 59-63. [9] M.M. Wu, W.B. Zhang, Analysis of fatty acid methyl ester of three kinds of biodiesel by GC/MS, Journal of Fuzhou University (Natural Science Edition) 5 (2014) 777-780. [10] M.M. Fan, W.T. Mao, J. Yang, P.B. Zhang, Qualitative and quantitative analysis on fatty acid methyl ester (biodiesel), Chemical Industry and Engineering Progress 31 (2012) 1373-1378.