A Comparison of GC-Inlets for Simulated Distillation Analyses

Similar documents
Gas Chromatography Liner Selection Guide

Split / Splitless Injection for Capillary GC

THERMAL DESORPTION. Introduction and Principles. Focusing on Volatiles

23 The Thermal Conductivity Detector

1.1 This test method covers the qualitative and quantitative determination of the content of benzene and toluene in hydrocarbon wax.

Fractional Distillation and Gas Chromatography

Gas Chromatography. Let s begin with an example problem: SPME head space analysis of pesticides in tea and follow-up analysis by high speed GC.

Shimadzu Simulated Distillation Gas Chromatograph System C184-E030

Gas Chromatograph GC Consumables. p/n:

SCION SQ Series GC-MS

Analyzing Small Molecules by EI and GC-MS. July 2014

CHROMOCTANE O N LINE ANALYZER

Waters Corporation. Waters 2690/5 USER & TROUBLESHOOTING GUIDE

The Characterization of Perfume Fragrances Using GC/MS, Headspace Trap and Olfactory Port

Process Instrumentation

Clarus 580 Gas Chromatograph

EPA Method RSK 175 Dissolved Gasses in Water Matrices using the Teledyne Tekmar HT3 Headspace Analyzer. HT3 Application Note.

ORGANIC SAMPLE PREPARATION

Everest. Leaders in Vacuum Booster Technology

ORGANIC LABORATORY TECHNIQUES NEVER distill the distillation flask to dryness as there is a risk of explosion and fire.

Analysis of Liquid Samples on the Agilent GC-MS

Mass Spectrometry. Fundamental GC-MS. GC Considerations

Background Information

GC Troubleshooting 10. How to use this Troubleshooting Help system GC Troubleshooting - Top Level Generic problem descriptions...

GC-xt. The most flexible GC /GC-MS liquid sample injector

AN INTRODUCTION TO HEADSPACE SAMPLING IN GAS CHROMATOGRAPHY FUNDAMENTALS AND THEORY. Andrew Tipler

ACETALDEHYDE and ISOVALERALDEHYDE (Gas Chromatography)

Thermal Conductivity Detector

EnAlgae SOP: Biogas analysis

Addressing the World Helium Shortage For Gas Chromatography

Request for Quotes Goods/Trade Services RFQ for Gas Chromatograph Mass Spectrometer (GCMS) (PCS# RFQ)

FOR RISK ASSESSMENT. Analysis of mineral oil: Manual pre-separation, followed by LV-GC/FID Off-line HPLC-GC/FID FEDERAL INSTITUTE.

On-line Dissolved Gas Analysis

AC DHA Solutions. Detailed Hydrocarbon Analysis of Light Petroleum Streams & Light End in Crude Oils. ASTM D 5134, D 6729, D 6730, D 6733 Compliance

Reaction of Magnesium with Hydrochloric Acid (Gas Laws) Chemicals Needed:

An Advanced Base Deactivated Capillary Column for analysis of Volatile amines Ammonia and Alcohols.

Expectations for GC-MS Lab

Agilent 7697A Headspace Sampler Data Sheet

GC METHODS FOR QUANTITATIVE DETERMINATION OF BENZENE IN GASOLINE

A VISION to On-Line SPE PTV GC MS Determination of Organic Micro Pollutants in Surface Water

The Agilent 7890A Gas Chromatograph All the elements for perfect chemistry. Our measure is your success.

Distillation Experiment

C184-E014D GC Shimadzu Gas Chromatograph System

PAPER CHROMATOGRAPHY

How To Test For Contamination In Large Volume Water

Determination of Pesticide Residues in Drinking Water Using Automated Solid-Phase Extraction and Gas Chromatography with Nitrogen Phosphorus Detection

Diffusion and Fluid Flow

How does solar air conditioning work?

Bringing Innovations to Standards AC Analytical Controls by PAC All In One Biodiesel Analyzer

AC SIMDIS Solutions. True Boiling Point Distribution up to C120. Compliance with Global Standard Test Methods

Full Technical Catalog For Closed-loop Sampling System

TechNote 3/2002. The Use of Different PTV Inlet Liner Types for Trapping Alkanes, Aromatics and Oxygenated Compounds During Thermal Desorption

Paper Chromatography: Separation and Identification of Five Metal Cations

ADU 5. Automatic Distillation Unit

Application. Gas Chromatography September 1997

Optimization of Natural Gas Processing Plants Including Business Aspects

With proper calibration, the upper limit may be extended as needed.

Quantitative Evaluation of Perfume Fleuressence Samples using the znose

Transformer Oil Gas Analysis

High-Throughput 3-D Chromatography Through Ion Exchange SPE

Lecture Chromo-3: Gas Chromatography. CHEM 5181 Fall 2004 Mass Spectrometry & Chromatography. Jessica Gilman and Prof. Jose-Luis Jimenez CU-Boulder

Extraction of Cannabinoids in Marijuana and Edibles by QuEChERS

AIRFREE TECHNIQUE AND SENSITIVE REAGENTS S ECTI O N 1: GLASS W ARE A ND E Q UIP M ENT. A. Using a manifold

Automation of Solid Phase Extraction and Column Chromatographic Cleanup

Chemical Analysis. Natural Gas Analyzer. A Family of optimized GC Solutions. Gas Chromatography. think forward

Separation of Amino Acids by Paper Chromatography

Micro Cryo-Trap Model 971

CRYOCOOLER CONTAMINATION STUDY. S.W.K. Yuan, D.T.Kuo, and A.S. Loc. BEI Technologies, Cryocooler Group Sylmar, CA ABSTRACT

TECHNIQUES FOR NATURAL GAS SAMPLING A DISCUSSION OF FIELD METHODS FOR OBTAINING SPOT SAMPLES. Randall Messman SW Regional Sales Manager

Facts About. Industrial gases for better injection molding. This article appeared in the trade journal Kunststoffe plast europe, issue 12/2004.

Electrospray Ion Trap Mass Spectrometry. Introduction

Chapter 28: High-Performance Liquid Chromatography (HPLC)

PURIFICATION TECHNIQUES

The Electron Capture Detector (ECD)

Precision Mass Flow Metering For CVD Applications.

Unsteady State Relief Valve Evaluation. External Pool Fire Scenario

VALIDATION, MODELING, AND SCALE-UP OF CHEMICAL LOOPING COMBUSTION WITH OXYGEN UNCOUPLING

Experiment 1: Colligative Properties

Theory and Instrumentation of GC Introduction

Water Fired Chiller/Chiller-Heater. WFC-S Series: 10, 20 and 30 RT Cooling

Operating Hints for Using Split/Splitless Injectors

ECONOMICAL OPTIONS FOR RECOVERING NGL / LPG AT LNG RECEIVING TERMINALS

Overview. Inficon s Product

Identification of Arson Accelerants by Gas Chromatography

Operating Instructions & Maintenance Guidelines for Precision Vaporizers

FUNDAMENTALS OF ENGINEERING THERMODYNAMICS

Multi-elemental determination of gasoline using Agilent 5100 ICP-OES with oxygen injection and a temperature controlled spray chamber

THE HUMIDITY/MOISTURE HANDBOOK

Refrigeration Basics 101. By: Eric Nelson

Why and How we Use Capacity Control

METHOD 8020A AROMATIC VOLATILE ORGANICS BY GAS CHROMATOGRAPHY

INVESTIGATION ON DIESEL COLD FLOW PROPERTIES

SUCRALOSE. White to off-white, practically odourless crystalline powder

Fundamentals of Mass Flow Control

This study was performed by Patrick Sullivan and staff at TestAmerica Analytical Testing Corp., Westfield, MA, USA

In this experiment, we will use three properties to identify a liquid substance: solubility, density and boiling point..

Opiates in Urine by SAMHSA GC/MS

Transcription:

A Comparison of GC-Inlets for Simulated Distillation Analyses David Grudoski wemeasureit Albany,CA 1

A Comparison of GC-Inlets for Simulated Distillation Analyses Abstract: 2013 Gulf Coast Conference,Galveston Texas Presented by David Grudoski Simulated Distillation Methods allow for the use of either Programmable Temperature or Cool-On-Column inlets. The performance of each inlet type for ASTM D2887, D7500 and D7169 analyses is examined with a focus on the operational parameters required for quality analyses.

The Purpose of the GC Inlet in SimDis Analysis The function of the inlet is to allow the introduction of a liquid sample to the column of the gas chromatograph. Ideally the inlet provides a complete transfer of the injected sample to the column.

Principles to Keep in Mind Daltons Law of Partial Pressures Raoult s Law Bernoulli effect The Joule-Thomson Effect

Raoult s Law Raoult's law the partial pressure of a component in an ideal solution is equal to the vapor pressure of the pure component multiplied by its mole fraction The important consequence of Raoult's law is that the vapor above a boiling mixture is enriched in the lower boiling component.

Bernoulli Effect When the speed of horizontal flow through a fluid increases, the pressure decreases A common example used to explain the Bernoulli effect is the flow of fluid through a pipe. If the fluid is moving uniformly through the pipe, then the only forces acting on the fluid are its own weight and the pressure of the fluid itself. Now, if the pipe narrows, the fluid must speed up, because the same amount of fluid is traveling through a smaller space. However, if the fluid is moving uniformly, and the weight has not changed, then the only way in which the fluid will move faster is if the pressure behind the fluid is greater than the pressure in front. Thus, the pressure must decrease as the speed increases. *Info from www.wisegeek.org

The Joule-Thomson Effect The Joule-Thomson (JT) effect is a thermodynamic process that occurs when a fluid expands from high pressure to low pressure at constant enthalpy. Such a process can be approximated in the real world by expanding a fluid from high pressure to low pressure across a valve. Under the right conditions, this can cause cooling of the fluid. At room temperature, all gases except hydrogen,helium and neon cool upon expansion by the Joule Thomson process.* *Info from Cryogenic Society of America

The Practical Consequences As the sample is ejected from the syringe needle into the inlet, the sample expands and cools due to the Bernouli effect and the Joule Thomson effect. With a straight thru liner; the sample components that boil below the temperature of the inlet would distribute in the vapor phase according to Raoults Law and pass onto the column. The liquid material remaining in the inlet would also vaporize over time also according to Raoults Law.

SimDis Methods: Requirements Hardware D2887 C3-C44 D7500 C7-C100 D7169 C1-C110 Inlet SSL,PTV,COC PTV,COC PTV,COC Cryo Optional Optional Required Column 10m,0.53 mm 3.0u 380 max Oven -20:350 40:350 10m,0.53 mm 5 m,0.53 mm 0.15u 400/435 max 0.53 mm 10m 0.15u 5 m 0.15u 400/435 max 40:400-20:425 Solvent Optional Optional Often required Optional Often required

SimDis Requirements Setup D2887 D7500 D7169 100 % Sample Elution Complete Elution Complete Elution Not Required Blank Yes Yes Yes Calibration Yes Yes Yes Reference Optional Optional Required for % Recovery Calc Sample Yes Yes Yes

ASTM SimDis Requirements Column starting temperatures below ambient will be required if samples with IBPs of less than 93 C (200 F) are to be analyzed. The sample inlet system must be capable of operating continuously at a temperature equivalent to the maximum column temperature employed, or provide for on-column injection with some means of programming the entire column, including the point of sample introduction, up to the maximum temperature required. Connection of the column to the sample inlet system must be such that no temperature below the column temperature exists. Page 11

Challenges For High Temperature SimDis Neat injections are problematic. Increasing Boiling Point usually results in increasing viscosity of the sample and often requires dilution with a solvent. Sample boiling ranges can be narrow or very broad with tailing distributions Page 12

Challenges For High Temperature SimDis Cross contamination of samples and solvent can occur if the syringe is not completely washed of sample residue Any region of low or no flow in the inlet stream can deposit high boiling components which can subsequently elute either as peaks or bleed. Resulting in poor quality blanks and memory effects Page 13

Challenges For High Temperature SimDis Cold spots in the injection flow path can result in memory effects of the inlet where sample residuals from prior runs elute in later injections, especially for samples diluted in a solvent Back diffusion from the split vent line and or purge vent line can also appear in analyses, especially when operating at high oven and inlet temperatures Page 14

Inlets used for Simulated Distillation Split/Splitless (SSL) Cool-On-Column (COC) Programmed Temperature Vaporizing (PTV) Multi-Mode Inlet (MMI) Cold/Hot Split Cold/Hot Splitless Direct Injection (COC) Solvent Vent

COC Advantages/Challenges Advantages Minimal discrimination of light ends Challenges: Injection reproducability Retention Gap/Column Connection Union Bleed of High Boiling material from Retention Gap Page 16

COC Injection Port

COC Flow Diagram

COC Inlet Page 19

COC Inlet Page 20

COC Inlet (Neat Injection) Carbon # % Conc Difference Mean REL STDEV Run 1 Run 2 Run 3 Run 4 C7 8 1.6 6.388 7.1% 5.712 6.557 6.679 6.604 C8 8 1.1 6.870 4.4% 6.421 6.980 7.057 7.023 C9 8 0.7 7.299 2.5% 7.028 7.358 7.402 7.408 C10 8 0.5 7.529 1.0% 7.414 7.548 7.571 7.584 C11 4 0.3 3.714 0.7% 3.744 3.728 3.692 3.694 C12 8 0.3 8.267 0.8% 8.367 8.224 8.226 8.248 C13 8 0.4 8.396 1.3% 8.558 8.337 8.333 8.356 C14 8 0.5 8.514 1.5% 8.701 8.450 8.443 8.462 C15 8 0.6 8.625 1.6% 8.826 8.567 8.545 8.563 C16 8 0.6 8.619 1.6% 8.829 8.562 8.532 8.551 C17 8 0.6 8.648 1.7% 8.865 8.606 8.555 8.565 C18 8 0.5 8.521 1.6% 8.721 8.498 8.439 8.425 C20 8 0.6 8.610 1.6% 8.813 8.585 8.526 8.517 Page 21

PTV Advantages/Challenges Advantages Minimal discrimination of light ends Rapid Heating and Cooling of Inlet-Reduces Cycle Time Self Cleaning Inlet Challenges: Injection Volume limits Memory effects from vent/purge lines Page 22

PTV Inlet (circa 1990) Conventional vaporizing injectors are designed with high mass injector bodies and heating blocks to control temperature for large volume inserts. These inlets change temperature slowly, contributing to their temperature stability.

PTV Inlet (modern era) Modern vaporizing injectors are designed with low mass injector bodies which allow very rapid heating and cooling of the inlet and permit selective vaporization of the sample in the body of the inlet liner. This allows a pre-separation of the sample prior to introduction to the GC column which can result in a more efficient transfer of the sample to the GC column.

PTV Inlet Septum Carrier Gas Cooling Gas Heating Coil Septum Purge Seal Glass Wool / Packing Insert (vaporization Chamber) Cooling Gas Capillary Column Split Line Page 25

PTV Inlet Page 26

PTV Inlet Page 27

PTV Inlet Carbon # % Conc Difference Mean REL STDEV Run 1 Run 2 Run 3 Run 4 C7 8 1.3 6.664 1.3% 6.587 6.594 6.730 6.743 C8 8 0.9 7.122 0.8% 7.073 7.070 7.166 7.180 C9 8 0.5 7.468 0.3% 7.455 7.444 7.474 7.499 C10 8 0.4 7.611 0.2% 7.617 7.606 7.595 7.625 C11 4 0.1 4.115 0.3% 4.129 4.123 4.096 4.111 C12 8 0.1 8.110 0.2% 8.128 8.123 8.084 8.104 C13 8 0.2 8.206 0.2% 8.220 8.219 8.184 8.203 C14 8 0.3 8.310 0.3% 8.323 8.343 8.276 8.299 C15 8 0.4 8.385 0.2% 8.401 8.402 8.363 8.375 C16 8 0.5 8.453 0.3% 8.476 8.466 8.435 8.435 C17 8 0.5 8.472 0.2% 8.475 8.474 8.494 8.444 C18 8 0.4 8.442 0.3% 8.452 8.441 8.464 8.411 C20 8 0.6 8.643 0.6% 8.666 8.695 8.639 8.572 Page 28

MMI Advantages/Challenges Advantages Most versatile for injection and sample type Rapid Heating and Cooling of Inlet-Reduces Cycle Time Self Cleaning Inlet Challenges: Parameter setpoints can be complex to set Injection Volume limits Memory effects from vent/purge lines Page 29

Agilent Multi Mode Inlet Operational Modes: Cold/Hot Split Cold/Hot Splitless Direct Injection (COC) Solvent Vent

MMI Schematic

MMI Parameters Operational Mode: Split, Cold Splitless, Injection Volume Hot Splitless, Solvent Vent, Direct Septum Purge Purge Vent Time MMI Temperature Profile

MMI Inlet Liners Single Taper with Glass Wool Straight Through Narrow ID MMI Cool-on-Column Inlet Adapter Page 33

MMI Inlet (Split Mode 4.5% Solution) Carbon # % Conc Difference Mean REL STDEV Run 1 Run 2 Run 3 Run 4 C7 8 2.3 5.722 0.2% 5.734 5.723 5.721 5.709 C8 8 1.5 6.512 0.2% 6.524 6.505 6.516 6.501 C9 8 0.9 7.112 0.1% 7.122 7.108 7.117 7.102 C10 8 0.6 7.449 0.1% 7.448 7.453 7.454 7.441 C11 4 0.1 3.929 0.1% 3.927 3.930 3.931 3.926 C12 8 0.3 8.305 0.0% 8.304 8.306 8.302 8.308 C13 8 0.5 8.483 0.0% 8.481 8.482 8.481 8.489 C14 8 0.6 8.639 0.0% 8.637 8.639 8.635 8.644 C15 8 0.7 8.734 0.0% 8.731 8.734 8.733 8.736 C16 8 0.8 8.786 0.0% 8.782 8.788 8.784 8.790 C17 8 0.8 8.806 0.1% 8.806 8.808 8.799 8.812 C18 8 0.7 8.710 0.1% 8.704 8.711 8.709 8.716 C20 8 0.8 8.814 0.1% 8.799 8.813 8.817 8.826 MMI Split Mode 70:50:150:200:430 4:1 Split Page 34

MMI Inlet (Hot Splitless Mode) Carbon # % Conc Difference Mean %REL STDEV Run 1 Run 2 Run 3 Run 4 C7 8 2.3 5.653 0.1% 5.664 5.651 5.652 5.645 C8 8 1.6 6.425 0.1% 6.432 6.420 6.424 6.422 C9 8 1.0 7.036 0.0% 7.038 7.031 7.038 7.036 C10 8 0.6 7.411 0.0% 7.410 7.408 7.411 7.415 C11 4 0.3 3.729 0.0% 3.729 3.728 3.731 3.730 C12 8 0.4 8.352 0.0% 8.348 8.351 8.352 8.356 C13 8 0.5 8.538 0.0% 8.534 8.540 8.539 8.540 C14 8 0.7 8.688 0.0% 8.684 8.690 8.689 8.689 C15 8 0.8 8.830 0.0% 8.826 8.831 8.830 8.832 C16 8 0.8 8.846 0.0% 8.842 8.848 8.846 8.847 C17 8 0.9 8.889 0.0% 8.887 8.892 8.888 8.890 C18 8 0.8 8.752 0.1% 8.758 8.752 8.746 8.752 C20 8 0.9 8.852 0.1% 8.847 8.858 8.855 8.849 Hot Splitless Mode 150:0 min:720:380 2.5ml purge flow 0.5 min 0.1ul Page 35

Inlets Compared (Peak Area %) Means Compared Carbon # PTV COC MMI Split MMI Hot Splitless C7 6.66 6.39 5.72 5.65 C8 7.12 6.87 6.51 6.42 C9 7.47 7.30 7.11 7.04 C10 7.61 7.53 7.45 7.41 C11 4.11 3.71 3.93 3.73 C12 8.11 8.27 8.31 8.35 C13 8.21 8.40 8.48 8.54 C14 8.31 8.51 8.64 8.69 C15 8.39 8.63 8.73 8.83 C16 8.45 8.62 8.79 8.85 C17 8.47 8.65 8.81 8.89 C18 8.44 8.52 8.71 8.75 C20 8.64 8.61 8.81 8.85 Page 36

Inlets Compared (Relative Standard Deviation) Relative Standard Deviation Carbon # PTV COC MMI Split MMI Hot Splitless C7 0.01 0.07 0.00 0.00 C8 0.01 0.04 0.00 0.00 C9 0.00 0.02 0.00 0.00 C10 0.00 0.01 0.00 0.00 C11 0.00 0.01 0.00 0.00 C12 0.00 0.01 0.00 0.00 C13 0.00 0.01 0.00 0.00 C14 0.00 0.01 0.00 0.00 C15 0.00 0.02 0.00 0.00 C16 0.00 0.02 0.00 0.00 C17 0.00 0.02 0.00 0.00 C18 0.00 0.02 0.00 0.00 C20 0.01 0.02 0.00 0.00 Page 37

Agilent SimDis Calculation Page 38

Agilent SimDis Calculation Page 39

Agilent SimDis Report Page 40

MMI Inlet SimDis Yield % Off Yield % Mean %RelSTDEV Run 1 Run 2 Run 3 Run 4 IBP: 0.5% 207.0 0.0% 207 207 207 207 5.00% 210.0 0.0% 210 210 210 210 10.00% 258.0 0.0% 258 258 258 258 15.00% 302.5 0.2% 303 302 302 303 20.00% 343.0 0.0% 343 343 343 343 25.00% 345.5 0.2% 346 345 345 346 30.00% 385.8 0.1% 386 385 386 386 35.00% 421.0 0.0% 421 421 421 421 40.00% 454.3 0.1% 454 454 454 455 45.00% 456.0 0.0% 456 456 456 456 50.00% 487.0 0.0% 487 487 487 487 55.00% 489.0 0.0% 489 489 489 489 60.00% 519.0 0.0% 519 519 519 519 65.00% 521.5 0.2% 521 521 521 523 70.00% 548.0 0.0% 548 548 548 548 75.00% 575.0 0.0% 575 575 575 575 80.00% 576.0 0.0% 576 576 576 576 85.00% 600.0 0.0% 600 600 600 600 90.00% 602.0 0.0% 602 602 602 602 95.00% 650.8 0.1% 651 650 651 651 FBP: 99.5% 652.8 0.1% 653 652 653 653 Page 41

SimDis Yield % Off Temp Compared (Mean Temp) Yield % PTV Mean COC Mean MMI Mean IBP: 0.5% 206.5 207.5 207.0 5.00% 209.5 210.0 210.0 10.00% 256.8 258.3 258.0 15.00% 301.5 301.8 302.5 20.00% 303.5 314.0 343.0 25.00% 344.5 345.3 345.5 30.00% 384.0 384.8 385.8 35.00% 419.5 420.3 421.0 40.00% 421.5 430.0 454.3 45.00% 455.5 455.8 456.0 50.00% 486.3 485.8 487.0 55.00% 488.0 488.5 489.0 60.00% 517.5 517.8 519.0 65.00% 519.5 525.5 521.5 70.00% 547.5 547.5 548.0 75.00% 573.8 573.0 575.0 80.00% 576.0 576.0 576.0 85.00% 600.0 599.5 600.0 90.00% 602.0 601.5 602.0 95.00% 650.5 650.3 650.8 FBP: 99.5% 657.8 652.3 652.8 Page 42

SimDis Yield % Off Temp Compared (% Rel Std Dev) Yield % PTV %Rel StDev COC %Rel StDev MMI %Rel StDev IBP: 0.5% 0.3% 0.3% 0.0% 5.00% 0.3% 0.0% 0.0% 10.00% 0.4% 0.2% 0.0% 15.00% 0.2% 0.2% 0.2% 20.00% 0.2% 6.2% 0.0% 25.00% 0.2% 0.1% 0.2% 30.00% 0.0% 0.1% 0.1% 35.00% 0.1% 0.1% 0.0% 40.00% 0.1% 3.7% 0.1% 45.00% 0.1% 0.1% 0.0% 50.00% 0.1% 0.1% 0.0% 55.00% 0.0% 0.1% 0.0% 60.00% 0.1% 0.1% 0.0% 65.00% 0.1% 2.2% 0.2% 70.00% 0.1% 0.1% 0.0% 75.00% 0.1% 0.0% 0.0% 80.00% 0.0% 0.1% 0.0% 85.00% 0.0% 0.1% 0.0% 90.00% 0.0% 0.1% 0.0% 95.00% 0.1% 0.1% 0.1% FBP: 99.5% 0.3% 0.1% 0.1% Page 43

Summary and Conclusion Each of the inlets discussed have advantages for specific sample types. All can reliably perform SimDis Analyses Page 44