Presentation is loading. Please wait.

Presentation is loading. Please wait.

Utilizing NeSSI for Analytical Applications Brian Marquardt Dave Veltkamp.

Similar presentations


Presentation on theme: "Utilizing NeSSI for Analytical Applications Brian Marquardt Dave Veltkamp."— Presentation transcript:

1 Utilizing NeSSI for Analytical Applications Brian Marquardt Dave Veltkamp

2 New Sampling Sensor Initiative ISA SP76 substrate protocol Component based gas and fluid handling systems Offer flexibility in design and implementation of complicated flow systems for process sampling and analysis LEGO TM based approach to process sample handling Allows for optimal positioning of analyzers in a process stream NeSSI Modular Sampling Systems

3 What does NeSSI™ Provide Simple “Lego®-like ” assembly (√) Easy to re-configure Easy to re-configure No special tools or skills required No special tools or skills required overall lower cost of build – reduce time to configure/install by 75% overall lower cost of build – reduce time to configure/install by 75% improved reliability improved reliability lower cost of ownership – reduce total cost by 40% lower cost of ownership – reduce total cost by 40% Standardized flow components (√) “Mix-and-match” compatibility between vendors “Mix-and-match” compatibility between vendors Growing list of components Growing list of components Standardized electrical and communication (+) “Plug-and-play” integration of multiple devices “Plug-and-play” integration of multiple devices Simplified interface for programmatic I/O and control Simplified interface for programmatic I/O and control Advanced analytics (+) Micro-analyzers Micro-analyzers Integrated analysis or “smart” systems Integrated analysis or “smart” systems

4 Where Does NeSSI™ Fit in the Lab Instrument/Sensor Interfaces Design standards make development simpler Design standards make development simpler Reduced toolset to be mastered Reduced sample variability to account for Calibration/validation built-in Calibration/validation built-in Consistent physical environment for measurement Stream switching and/or mixing allow generation of standards to match analytical requirements Reaction monitoring Microreactors and continuous flow reactors Microreactors and continuous flow reactors Batch reactors (with fast loop) Batch reactors (with fast loop) Sample Preparation Gas handling (mixing, generation, delivery) Gas handling (mixing, generation, delivery) Liquid handling (mixing, dilution, conditioning, etc.) Liquid handling (mixing, dilution, conditioning, etc.)

5 Conditioning and manipulation of sample introduced to analyzer Better control of sample physical parameters Phase Temperature Velocity Ability to implement sensors at points where measurement parameters are optimal Flexibility for performing calibration online without removing sensor Fast switching of streams for real-time measurement, calibration or validation Benefits of Sampling Systems to Process Analysis

6 Raman/NIR/UV-Vis Sensor Module

7 Sensing Technologies Gas Chromatography Thermal Desorption (?) Thermal Desorption (?) Dielectric (√) Spectroscopies IR (?), NIR (+) IR (?), NIR (+) UV- Vis (+) UV- Vis (+) Raman (√) Raman (√) Fluorescence (+) Fluorescence (+) Impedance (+) Conductivity (√) Refractive Index (√) Vapochromic Sensors (+) GLRS (+) Particle Sizing Light scattering (?) Light scattering (?) Turbidity (+) pH (√) RGA (+) Mass Spectrometry (√) LC, SEC, IC (+) Terrahertz (?)

8 Natural Gas Property Testing Collaborative project with Brooks Instruments to test new Gas Property Instrument (GPI) for Gross Calorific Value and Wobbe Index of natural gas Adaptation of thermal mass flow technology to measure physical parameters of gas Adaptation of thermal mass flow technology to measure physical parameters of gas NeSSI™ system used to generate air/propane mixtures with known properties to simulate natural gas variations

9 GPI Testing Results Corrected (Vol %) Flow Raw MFC (% Full Flow N 2 ) Wobbe Index Correlation Gross Heating Correlation

10 GPI Conclusions First real application of gas blending or mixing on NeSSI in our lab Developed preliminary LabVIEW software control for MFCs and pressure transducers Developed preliminary LabVIEW software control for MFCs and pressure transducers Brooks has agreed to assist in calibrating our MFCs for multiple gases Brooks has agreed to assist in calibrating our MFCs for multiple gases GPI results looked fairly good over planned application range of natural gas properties

11 Development of fast and selective gas sensors using vapochromic compounds

12 Light Source Blue LED Spectrograph & Detector Probe Tip Dual Fiber Probe Vapochromic Film Excitation Fiber Collection Fiber GAS FLOW Vapochromic Probe Design & Sensing System

13 Example NeSSI Sensor Interface Sensor is a vapochromatic compound Responds to different compounds by intensity and wavelength shifts in fluorescence signal Responds to different compounds by intensity and wavelength shifts in fluorescence signal Optical detection using simple VIS spectrometer Optical detection using simple VIS spectrometer LED excitation light source LED excitation light source Simple reflectance 2 fiber optical measurement Simple reflectance 2 fiber optical measurement Use of BallProbe to provide single-sided optical interface Vapochrome coated on ball surface Vapochrome coated on ball surface NeSSI™ system to control delivery and mixing of gas stream

14 Vapochromic Humidity Sensor 2 PC calibration model humidity range: 10 – 80% Ohmic feedback control humidity generator used for reference stds. - Measurment time – 100 ms - 3 reps per concentration

15 Oxygen Gas Sensor Calibration - 2 PC PLS model - range = 0-100%

16 Vapochromic O 2 Sensor vs Electrochemical DO probe DO reference measurement (O 2 %) 050100150200 20 40 60 80 100 120 Optical response inverted and offset for comparison Elapsed Minutes Response of Optical and DO Probes, Second Timed Exp. Optical @560nm DO Probe Sensor Optical Intensity (relative counts) 400 300 200 100 0

17 Vapochromic O 2 Sensor Response

18 Vapochromic BTEX Sensing Vapochromatic compound screening for benzene, toluene, ethylbenzene and m- xylene (BTEX) sensitivity and selectivity Need to find the best available compounds for sensor array approach Need to find the best available compounds for sensor array approach Initial milestone: benzene detection Initial milestone: benzene detection Establish sensitivity Establish sensitivity (can we detect low enough levels?) Characterize interferents Characterize interferents (can we distinguish mixtures?) NeSSI™ system to control delivery and mixing of gas streams

19 NeSSI Gas/Vapor System -NeSSI substrate with 3 MFC’s -2 bubblers for vapor generation Single inlet line (N 2 ) Outlet line to flow cell Standard Ace Glass impingers

20 Optical Flow Cell Flow cell is a simple cross fitting 6-around-1 fiber optic for source and collection 6-around-1 fiber optic for source and collection Delrin rod with sensing compound coated on end Delrin rod with sensing compound coated on end Multiple crosses can be chained together for screening several compounds at once Optical detection using simple VIS spectrometer, LED excitation light source Simple reflectance optical measurement Simple reflectance optical measurement

21 Vapochromic NeSSI Sensor Design simple design reversible response low power inexpensive NeSSI compat. fast response times high quantum efficiency long term sensor stability sensitive to a variety of analytes large number of available vapochromic compounds (selectivity)

22 Experimental Details Three gas streams mixed prior to outlet MFC #1 pure N 2 carrier (no bubbler) MFC #1 pure N 2 carrier (no bubbler) MFC #2 run thru bubbler with benzene liquid MFC #2 run thru bubbler with benzene liquid MFC #3 run thru empty bubbler (diluter) MFC #3 run thru empty bubbler (diluter) MFC #1 and MFC #2 flow summed to 50% full flow (FF, 250 sccm) As bubbler flow ↑ carrier flow ↓ As bubbler flow ↑ carrier flow ↓ MFC #3 held at either 50% FF or 5% FF Additional level of dilution between runs Additional level of dilution between runs Spectra collected every 2 seconds LabVIEW program automates setting flow rates on MFCs, sequence timing, and data logging

23 Experimental Design/Program MFC #1 (carrier) MFC #2 (bubbler) Duration (seconds) 50060 48290 46490 44690 42890 401090 302090 203090 104090 05090 252590 500180

24 Typical Automated Response

25 Full Spectrum Response

26 Vapochromic Response * MFC #3 run at 5% FF rather than 50% FF

27 Vapochromic Response These are the 2 most sensitive compounds of the 6 looked at in this study There is plenty of optical sensitivity to go to lower conc. May need to implement “reset” techniques to zero response

28 Vapochromic #4 Response Differential response!!??

29 Screening Conclusions Early results look good for benzene sensitivity 2-3 candidates 2-3 candidates Clearly need more dilution capability Clearly need more dilution capability Need to speed up the screening Multiple simultaneous compounds Multiple simultaneous compounds Switching/multiplexing NOT the answer Switching/multiplexing NOT the answer New multichannel spectrometers will improve screening

30 New Gas Sensor Testing System More capability to generate analytical vapors, gas blending, and on-line dilution of vapor streams for method development work Two systems (one at CPAC, the other at UM) will facilitate collaboration with Kent Mann NSF Funding applied for (Aug. 06) Bob Sherman, CIRCOR, committed to providing one system Bob Sherman, CIRCOR, committed to providing one system

31 PEM Fuel Cell Fan/Blower Or Pump Both Streams Purge to outside environment H2 in 3 Voltmeters,1 Ammeter Thermocouple and Humidity sensor Tank (might run system without a tank) Thermocouple and Humidity sensors Air in Fuel Cell Research Goal: to study the water uptake properties of Nafion 112 by varying the relative humidity of the input gas streams to better understand membrane hydration and its effects on fuel cell performance. Senior Project for ChemE undergrad student team Senior Project for ChemE undergrad student team NeSSI™ System for gas flow and humidity sensing

32 Fuel Cell (cont.) Simple NeSSI system design being built by Swagelok Preliminary system calculations done by students Vapochromic humidity sensors designed Expect this activity begin this summer

33 Fluid Dynamics Modeling Project with Dr. Finlayson and undergrad student Daniel Yates, Chem. E. Utilize NeSSI™ components as objects for computation fluid dynamics modeling Utilize NeSSI™ components as objects for computation fluid dynamics modeling Availability of NeSSI™ systems and parts allows for experimental work to verify/test model results Availability of NeSSI™ systems and parts allows for experimental work to verify/test model results Provides academic training and exposure to real-world hardware in a compact and rugged platform Can start simple and add complexity by including more components Can start simple and add complexity by including more components

34 Where are we now? Development continues on control system Data I/O, comm., and control hardware Data I/O, comm., and control hardware Software for DAQ, automation and control Software for DAQ, automation and control NeSSI microreactor system becoming reality Parker Intraflow™ fluidic system delivered Parker Intraflow™ fluidic system delivered IMM, Microglass, CPC mixers and reactor components here or coming soon IMM, Microglass, CPC mixers and reactor components here or coming soon LC, Raman, dielectric, RI detection LC, Raman, dielectric, RI detection Headspace and gas analysis systems Horiba RGA analyzer running Horiba RGA analyzer running Vapochromic sensors being designed and tested for NeSSI applications Vapochromic sensors being designed and tested for NeSSI applications GC interface to NeSSI under development with Infometrix (WTC Proposal submitted) GC interface to NeSSI under development with Infometrix (WTC Proposal submitted)


Download ppt "Utilizing NeSSI for Analytical Applications Brian Marquardt Dave Veltkamp."

Similar presentations


Ads by Google