The document summarizes an assay lab chemistry internship. It describes various projects the intern worked on including analyzing how shaking time affects gold concentration in ore samples and how the volume of preg-rob solution dispensed affects results. It also discusses calibrating an XRF machine to properly measure gold and silver concentrations. The intern found shaking time and contact time with cyanide increased gold concentration as expected. Too little or too much preg-rob solution led measurements outside the average. Applying correction factors and changing error weight types helped improve the XRF calibration.
Sampling methods using sorbent traps have been used extensively over the past 20 years for speciating mercury in flue gas. The Flue Gas Adsorbent Mercury Speciation (FAMS) method is an example. This method has gained widespread acceptance as the preferred alternative for mercury speciation due to its simplicity, sensitivity, and repeatability. However, FAMS and other sorbent trap methods were developed primarily for measurements made in the relatively clean, dry, and cool flue gas present downstream of the particulate control devices. Application of sorbent traps to measure mercury in the high temperatures and high particulate loadings that exist upstream of the APC system or the saturated drop-laden gas downstream of FGD requires modifications to the approach. This presentation addresses the use of sorbent traps to speciate mercury throughout the air pollution control system of a coal-fired utility. Specific sampling approaches to accommodate testing at high temperatures, high dust loadings, and saturated gas streams are discussed. Data are presented for measurements made from points ranging from near the exit of the boiler to the outlet of a wet scrubber. We discuss the interpretation of the results and examine metrics used to assess data quality.
Financial Aspects of Elemental AnalysisRyan Brennan
This document discusses several Varian ICP-OES systems and accessories that can improve productivity and reduce costs for elemental analysis laboratories. The Niagara Plus system and Assist syringe sampler can significantly reduce analysis time and increase sample throughput. For example, using these systems analysis time can be reduced from 93 to 48 seconds with Niagara Plus and from 114 to 32 seconds with Assist. This translates to running thousands more samples per year and saving over 1000 hours of analysis time annually. The increased productivity provides substantial cost savings and benefits for laboratories performing ICP-OES elemental analysis.
Mixing Dynamics Non-ideal CST final Mar 7thYen Nguyen
This document summarizes a student project to develop mixing models for a continuous stir tank reactor (CSTR). It presents ideal and non-ideal models based on mass and energy balances. Experimental data was collected from the CSTR unit under various conditions. While the models did not perfectly fit the data, accounting for factors like ambient heat loss and conduction may help. Suggestions are made to improve the models to better represent the non-ideal reactor behavior.
QUALIFICATION OF UV-VISIBLE SPECTROPHOTOMETER, FTIR, DSC, HPLCAnupriyaNR
The document discusses the qualification and validation of various analytical techniques used in pharmaceutical quality control including UV-Visible spectrophotometry, Fourier-transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), and high performance liquid chromatography (HPLC). It provides details on the design qualifications, installation qualifications, operational qualifications, and performance qualifications required for each technique. The key steps include instrument calibration, determination of accuracy and precision, evaluation of limits, and verification that the instruments are operating as intended over time.
Intelligent Real-time Water Level Forecast Models for Pumping StationsYingray Lu
1) The document describes research on developing intelligent real-time water level forecast models for pumping stations using artificial neural networks.
2) Researchers analyzed water level and rainfall data from a pumping station to select input factors for different neural network models, including BPNN, Elman NN, and NARX.
3) The results showed that the NARX model provided the most accurate water level forecasts for lead times of 10, 30, and 50 minutes compared to observed data.
METHOD DEVELOPMENT AND VALIDATION FOR DETERMINATION OF HUMAN SERUM ALBUMIN MO...Malvina Haxhiu
Human serum albumin is a protein in the blood with a molecular mass 66.5 kDa.
In this study, was developed a method for determination of human serum albumin protein as monomer and its aggregates using a size exclusion column and HPLC instrument. Optimum conditions of the method were flow rate 0.2 ml/min, injection volume of the sample with concentration 5 mg/ml was 0.2 µl, column temperature 30oC, wavelength 214 nm. Mobile phase was sodium phosphate at concentration 150 mM and pH 7 using an isocratic elution. The method is validated in term of linearity, precision robustness, specificity, system suitability test and stability.
Process monitoring – feedback for water treatment may improve the efficiency of the treatment process – use fewer chemicals to achieve require effluent emission limits
Measurement of Se, As for compliance with Steam Electric Generating Effluent Guidelines
Monitoring of treatment of wastewater by biological based treatment systems
Measurement of Corrosion Products (e.g. Fe, Ni, Cr and Mn) to improve operating efficiency
Measurement of Elements in Nuclear Power Plant Applications (e.g. Pb, Cu, Fe)
Reduce laboratory analysis costs
Sampling methods using sorbent traps have been used extensively over the past 20 years for speciating mercury in flue gas. The Flue Gas Adsorbent Mercury Speciation (FAMS) method is an example. This method has gained widespread acceptance as the preferred alternative for mercury speciation due to its simplicity, sensitivity, and repeatability. However, FAMS and other sorbent trap methods were developed primarily for measurements made in the relatively clean, dry, and cool flue gas present downstream of the particulate control devices. Application of sorbent traps to measure mercury in the high temperatures and high particulate loadings that exist upstream of the APC system or the saturated drop-laden gas downstream of FGD requires modifications to the approach. This presentation addresses the use of sorbent traps to speciate mercury throughout the air pollution control system of a coal-fired utility. Specific sampling approaches to accommodate testing at high temperatures, high dust loadings, and saturated gas streams are discussed. Data are presented for measurements made from points ranging from near the exit of the boiler to the outlet of a wet scrubber. We discuss the interpretation of the results and examine metrics used to assess data quality.
Financial Aspects of Elemental AnalysisRyan Brennan
This document discusses several Varian ICP-OES systems and accessories that can improve productivity and reduce costs for elemental analysis laboratories. The Niagara Plus system and Assist syringe sampler can significantly reduce analysis time and increase sample throughput. For example, using these systems analysis time can be reduced from 93 to 48 seconds with Niagara Plus and from 114 to 32 seconds with Assist. This translates to running thousands more samples per year and saving over 1000 hours of analysis time annually. The increased productivity provides substantial cost savings and benefits for laboratories performing ICP-OES elemental analysis.
Mixing Dynamics Non-ideal CST final Mar 7thYen Nguyen
This document summarizes a student project to develop mixing models for a continuous stir tank reactor (CSTR). It presents ideal and non-ideal models based on mass and energy balances. Experimental data was collected from the CSTR unit under various conditions. While the models did not perfectly fit the data, accounting for factors like ambient heat loss and conduction may help. Suggestions are made to improve the models to better represent the non-ideal reactor behavior.
QUALIFICATION OF UV-VISIBLE SPECTROPHOTOMETER, FTIR, DSC, HPLCAnupriyaNR
The document discusses the qualification and validation of various analytical techniques used in pharmaceutical quality control including UV-Visible spectrophotometry, Fourier-transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), and high performance liquid chromatography (HPLC). It provides details on the design qualifications, installation qualifications, operational qualifications, and performance qualifications required for each technique. The key steps include instrument calibration, determination of accuracy and precision, evaluation of limits, and verification that the instruments are operating as intended over time.
Intelligent Real-time Water Level Forecast Models for Pumping StationsYingray Lu
1) The document describes research on developing intelligent real-time water level forecast models for pumping stations using artificial neural networks.
2) Researchers analyzed water level and rainfall data from a pumping station to select input factors for different neural network models, including BPNN, Elman NN, and NARX.
3) The results showed that the NARX model provided the most accurate water level forecasts for lead times of 10, 30, and 50 minutes compared to observed data.
METHOD DEVELOPMENT AND VALIDATION FOR DETERMINATION OF HUMAN SERUM ALBUMIN MO...Malvina Haxhiu
Human serum albumin is a protein in the blood with a molecular mass 66.5 kDa.
In this study, was developed a method for determination of human serum albumin protein as monomer and its aggregates using a size exclusion column and HPLC instrument. Optimum conditions of the method were flow rate 0.2 ml/min, injection volume of the sample with concentration 5 mg/ml was 0.2 µl, column temperature 30oC, wavelength 214 nm. Mobile phase was sodium phosphate at concentration 150 mM and pH 7 using an isocratic elution. The method is validated in term of linearity, precision robustness, specificity, system suitability test and stability.
Process monitoring – feedback for water treatment may improve the efficiency of the treatment process – use fewer chemicals to achieve require effluent emission limits
Measurement of Se, As for compliance with Steam Electric Generating Effluent Guidelines
Monitoring of treatment of wastewater by biological based treatment systems
Measurement of Corrosion Products (e.g. Fe, Ni, Cr and Mn) to improve operating efficiency
Measurement of Elements in Nuclear Power Plant Applications (e.g. Pb, Cu, Fe)
Reduce laboratory analysis costs
Founded in 1997, iGem.com was started as a niche retailer and distributor of electronic testing equipment and security systems for the jewelry industry. Visit us-http://www.igem.com/
Bruker drives profitable growth through scientific discoveries and high-performance analytical, life science, and diagnostic solutions. The presentation discusses Bruker's business and financial overview, technology portfolio, key markets, and strategy for growth. Bruker aims to accelerate revenue growth, continue margin expansion, and increase returns through high-impact innovation, new products, operational excellence, and complementary acquisitions. Areas of focus include life science research, biopharma, clinical applications, and nano-analysis.
MPN TECH-One Stop PCB Solutions in Singaporedong changbo
We specialize in providing One-Stop Electronics Service to aid Singapore R&D SMEs, Institutes and Universities (such as NUS, DSO, ST Electronics, Panasonic, etc.) solve Electronic hardware issues. This includes Electronic Designs, PCB Design (Layout), PCB Fabrication, PCB Assembly, Components Purchasing, and Electronic Products Minor Rework. Any query please feel free to contact with "chambers.dong@mpntech.com"
The document discusses how to create useful labels for real-time testing using a DELTA XRF Analyzer. Labels and their options can be created in a spreadsheet and imported, automatically setting up the labels in the analyzer. This allows labeling of quality control inspections and in-service tests with simple selection of the appropriate label set. Test results are linked to the labels, allowing creation of reports in PMI software. Printing of labels or results is also possible with an accessory Bluetooth printer. The real-time labeling feature streamlines testing and ensures traceability of reliable test data for effective preventative maintenance inspections.
Precious Metals Testing with Portable XRFSimon Varney
Accurately determine gold purity. Quickly rule out counterfeit or gold-plated items. Both are critically important business requirements for pawn shops and jewelry retailers. This presentation discusses methods for precious metal and gold testing, with an emphasis on x-ray fluorescence (XRF).
This document discusses Thermo Scientific Niton XRF analyzers which can screen consumer products and electronics for lead and other toxic metals quickly, accurately, and conveniently. The analyzers help manufacturers and retailers meet stringent regulations on permissible levels of toxins in affected products like toys, jewelry, clothing, furniture and more. The handheld analyzers and Niton FXL field x-ray lab provide lab-quality elemental analysis on site in seconds without sample preparation, avoiding delays from outside labs. They are used worldwide by regulators and companies to ensure safest products.
Thermo Scientific portable XRF analyzers provide fast, nondestructive elemental analysis of precious metals throughout their lifecycle from refining to recycling. They deliver lab-quality results within seconds via touch-screen displays for applications such as purity testing, karat sorting, and detecting gold plating. Customers in industries like refining, manufacturing, and recycling rely on the accuracy and portability of the analyzers to ensure quality control.
EPA Method 200.7, Trace Elements in Water, Solids, and Biosolids by Inductively Coupled Plasma-Atomic Emission Spectrometry, describes the procedure and requirements for multi-element determinations by ICP-AES. This presentation demonstrates the capability of the ICPE-9820, with the ASC-9800 Auto-sampler and the Standard Addition Kit, to produce quick, accurate results that comply with the method.
Trace metal analysis in sediments using aas and asv techniquesAwad Albalwi
This document summarizes the results of a trace metal analysis of sediments using atomic absorption spectroscopy (AAS) and anodic stripping voltammetry (ASV) techniques. Sediment samples from Port Kembla and blanks were digested and analyzed for metals including lead, zinc, copper, and cadmium. The AAS results showed metal concentrations in sediments were slightly higher than reference values, likely due to different collection locations. Recoveries from spiked samples ranged from 63-160%. The ASV analysis also measured metal concentrations in sediments and an unknown sample. High errors in some metal measurements were likely due to non-linear calibration curves and analyte concentrations at the low end of instrument ranges.
Practical Implementation of the New Elemental Impurities Guidelines May 2015SGS
The International Conference on Harmonization (ICH) released its Q3D Guideline for Elemental Impurities in December 2014, initiating reviews and changes in quality testing programs in bio/pharmaceutical companies around the world. In advance of the implementation dates, companies need to assess the risks of potential elemental impurities in their process and materials streams.
In this presentation, experts will review the requirements of elemental impurities guidelines from ICH, the European Pharmacopeia, and United States Pharmacopeia, outline practical recommendations to address implementation challenges, and discuss key considerations for analytical testing programs.
This document summarizes the commercialization of Velocys' advanced Fischer-Tropsch synthesis technology. Key points include:
Velocys has 15+ years of experience and over $300 million invested in developing their microchannel reactor technology. Their pilot plant demonstrates stable long-term operation with excellent catalyst regenerability and lifetime. Their process is designed for modular scalability.
Velocys works with world-class partners and has commercial rollout underway, with resources including technical centers and a permanent pilot plant. Their technology offers advantages including isothermal behavior, robustness, economy, and high productivity.
Experimental design and validation ensure the catalyst and process meet commercial requirements for stability, performance, and tolerance to variations
This presentation discusses gas detection calibration and accuracy requirements. It notes that while performance standards for gas detectors are good, calibrations can vary in quality depending on the equipment and process used. To help ensure safety until calibration standards are improved, it recommends comparing readings from multiple gas detection methods, including fixed detectors, handheld detectors, tube bundles, and gas samples, and treating the highest reading as most accurate. The presentation also discusses hypothetical scenarios where one detector reads higher or lower than others, to illustrate the challenges of relying on a single calibrated detector. It concludes the best approach is to work on improving calibration reliability and standardization.
This document discusses uncertainty analysis of hydrocarbon reserves. It provides information on determining the initially in-place hydrocarbons and reserves from other reservoir parameters like bulk volume, porosity, and recovery factor. It discusses sources of uncertainty in these parameters and methods to quantify their impact on reserves uncertainty using statistical techniques like normal and triangular distributions. Exercises provided in the document demonstrate calculating reserves distributions and their probabilities for different fields using the Latin Hypercube sampling method in software.
The document discusses process design and scale-up issues related to the continuous flow synthesis of silver nanomaterials. It first summarizes literature on the continuous flow synthesis of silver nanoparticles (AgNPs) and identifies gaps in understanding nucleation rates and separation technologies. The author then examines the mechanism and kinetics of AgNP synthesis via a citrate-based method. Experiments optimizing batch reactor conditions are described. Continuous flow synthesis using multiple continuously stirred tank reactors (CSTRs) is explored to control nucleation and particle size. Centrifugal separation is investigated to recover AgNPs. Finally, the document discusses the continuous flow synthesis of silver nanowires, presenting a proposed reaction mechanism and kinetic rate constants obtained at different temperatures.
This document discusses tuning the electrical properties of powdered activated carbon (PAC) to improve electrostatic precipitator (ESP) performance when PAC is injected for mercury control. Volume resistivity testing of different PAC formulations found one formulation (γ-PAC) improved ESP collection efficiency by 1% and reduced mass penetration by 50% compared to fly ash alone. A novel resistivity test fixture was used to rapidly evaluate PAC formulations under temperature and humidity. Lab ESP tests showed preferential collection of particles depended on PAC formulation. Comparing initial and collected resistivities provided insight into how formulations enriched fly ash or PAC in the dust cake. Tuning PAC's electrical properties can optimize mercury capture and particulate matter collection in ESPs.
Determination of Elemental Impurities – Challenges of a Screening MethodSGS
The document discusses the challenges of developing a screening method for determining elemental impurities and validating such a method. It outlines potential interferences from different sample materials and strategies for addressing them, including sample preparation using closed vessel microwave digestion and determination by ICP-MS. Validation results are presented demonstrating the method meets acceptance criteria for selectivity, linearity, precision, accuracy, and limits of quantification as defined by USP and EP pharmacopeial standards.
Founded in 1997, iGem.com was started as a niche retailer and distributor of electronic testing equipment and security systems for the jewelry industry. Visit us-http://www.igem.com/
Bruker drives profitable growth through scientific discoveries and high-performance analytical, life science, and diagnostic solutions. The presentation discusses Bruker's business and financial overview, technology portfolio, key markets, and strategy for growth. Bruker aims to accelerate revenue growth, continue margin expansion, and increase returns through high-impact innovation, new products, operational excellence, and complementary acquisitions. Areas of focus include life science research, biopharma, clinical applications, and nano-analysis.
MPN TECH-One Stop PCB Solutions in Singaporedong changbo
We specialize in providing One-Stop Electronics Service to aid Singapore R&D SMEs, Institutes and Universities (such as NUS, DSO, ST Electronics, Panasonic, etc.) solve Electronic hardware issues. This includes Electronic Designs, PCB Design (Layout), PCB Fabrication, PCB Assembly, Components Purchasing, and Electronic Products Minor Rework. Any query please feel free to contact with "chambers.dong@mpntech.com"
The document discusses how to create useful labels for real-time testing using a DELTA XRF Analyzer. Labels and their options can be created in a spreadsheet and imported, automatically setting up the labels in the analyzer. This allows labeling of quality control inspections and in-service tests with simple selection of the appropriate label set. Test results are linked to the labels, allowing creation of reports in PMI software. Printing of labels or results is also possible with an accessory Bluetooth printer. The real-time labeling feature streamlines testing and ensures traceability of reliable test data for effective preventative maintenance inspections.
Precious Metals Testing with Portable XRFSimon Varney
Accurately determine gold purity. Quickly rule out counterfeit or gold-plated items. Both are critically important business requirements for pawn shops and jewelry retailers. This presentation discusses methods for precious metal and gold testing, with an emphasis on x-ray fluorescence (XRF).
This document discusses Thermo Scientific Niton XRF analyzers which can screen consumer products and electronics for lead and other toxic metals quickly, accurately, and conveniently. The analyzers help manufacturers and retailers meet stringent regulations on permissible levels of toxins in affected products like toys, jewelry, clothing, furniture and more. The handheld analyzers and Niton FXL field x-ray lab provide lab-quality elemental analysis on site in seconds without sample preparation, avoiding delays from outside labs. They are used worldwide by regulators and companies to ensure safest products.
Thermo Scientific portable XRF analyzers provide fast, nondestructive elemental analysis of precious metals throughout their lifecycle from refining to recycling. They deliver lab-quality results within seconds via touch-screen displays for applications such as purity testing, karat sorting, and detecting gold plating. Customers in industries like refining, manufacturing, and recycling rely on the accuracy and portability of the analyzers to ensure quality control.
EPA Method 200.7, Trace Elements in Water, Solids, and Biosolids by Inductively Coupled Plasma-Atomic Emission Spectrometry, describes the procedure and requirements for multi-element determinations by ICP-AES. This presentation demonstrates the capability of the ICPE-9820, with the ASC-9800 Auto-sampler and the Standard Addition Kit, to produce quick, accurate results that comply with the method.
Trace metal analysis in sediments using aas and asv techniquesAwad Albalwi
This document summarizes the results of a trace metal analysis of sediments using atomic absorption spectroscopy (AAS) and anodic stripping voltammetry (ASV) techniques. Sediment samples from Port Kembla and blanks were digested and analyzed for metals including lead, zinc, copper, and cadmium. The AAS results showed metal concentrations in sediments were slightly higher than reference values, likely due to different collection locations. Recoveries from spiked samples ranged from 63-160%. The ASV analysis also measured metal concentrations in sediments and an unknown sample. High errors in some metal measurements were likely due to non-linear calibration curves and analyte concentrations at the low end of instrument ranges.
Practical Implementation of the New Elemental Impurities Guidelines May 2015SGS
The International Conference on Harmonization (ICH) released its Q3D Guideline for Elemental Impurities in December 2014, initiating reviews and changes in quality testing programs in bio/pharmaceutical companies around the world. In advance of the implementation dates, companies need to assess the risks of potential elemental impurities in their process and materials streams.
In this presentation, experts will review the requirements of elemental impurities guidelines from ICH, the European Pharmacopeia, and United States Pharmacopeia, outline practical recommendations to address implementation challenges, and discuss key considerations for analytical testing programs.
This document summarizes the commercialization of Velocys' advanced Fischer-Tropsch synthesis technology. Key points include:
Velocys has 15+ years of experience and over $300 million invested in developing their microchannel reactor technology. Their pilot plant demonstrates stable long-term operation with excellent catalyst regenerability and lifetime. Their process is designed for modular scalability.
Velocys works with world-class partners and has commercial rollout underway, with resources including technical centers and a permanent pilot plant. Their technology offers advantages including isothermal behavior, robustness, economy, and high productivity.
Experimental design and validation ensure the catalyst and process meet commercial requirements for stability, performance, and tolerance to variations
This presentation discusses gas detection calibration and accuracy requirements. It notes that while performance standards for gas detectors are good, calibrations can vary in quality depending on the equipment and process used. To help ensure safety until calibration standards are improved, it recommends comparing readings from multiple gas detection methods, including fixed detectors, handheld detectors, tube bundles, and gas samples, and treating the highest reading as most accurate. The presentation also discusses hypothetical scenarios where one detector reads higher or lower than others, to illustrate the challenges of relying on a single calibrated detector. It concludes the best approach is to work on improving calibration reliability and standardization.
This document discusses uncertainty analysis of hydrocarbon reserves. It provides information on determining the initially in-place hydrocarbons and reserves from other reservoir parameters like bulk volume, porosity, and recovery factor. It discusses sources of uncertainty in these parameters and methods to quantify their impact on reserves uncertainty using statistical techniques like normal and triangular distributions. Exercises provided in the document demonstrate calculating reserves distributions and their probabilities for different fields using the Latin Hypercube sampling method in software.
The document discusses process design and scale-up issues related to the continuous flow synthesis of silver nanomaterials. It first summarizes literature on the continuous flow synthesis of silver nanoparticles (AgNPs) and identifies gaps in understanding nucleation rates and separation technologies. The author then examines the mechanism and kinetics of AgNP synthesis via a citrate-based method. Experiments optimizing batch reactor conditions are described. Continuous flow synthesis using multiple continuously stirred tank reactors (CSTRs) is explored to control nucleation and particle size. Centrifugal separation is investigated to recover AgNPs. Finally, the document discusses the continuous flow synthesis of silver nanowires, presenting a proposed reaction mechanism and kinetic rate constants obtained at different temperatures.
This document discusses tuning the electrical properties of powdered activated carbon (PAC) to improve electrostatic precipitator (ESP) performance when PAC is injected for mercury control. Volume resistivity testing of different PAC formulations found one formulation (γ-PAC) improved ESP collection efficiency by 1% and reduced mass penetration by 50% compared to fly ash alone. A novel resistivity test fixture was used to rapidly evaluate PAC formulations under temperature and humidity. Lab ESP tests showed preferential collection of particles depended on PAC formulation. Comparing initial and collected resistivities provided insight into how formulations enriched fly ash or PAC in the dust cake. Tuning PAC's electrical properties can optimize mercury capture and particulate matter collection in ESPs.
Determination of Elemental Impurities – Challenges of a Screening MethodSGS
The document discusses the challenges of developing a screening method for determining elemental impurities and validating such a method. It outlines potential interferences from different sample materials and strategies for addressing them, including sample preparation using closed vessel microwave digestion and determination by ICP-MS. Validation results are presented demonstrating the method meets acceptance criteria for selectivity, linearity, precision, accuracy, and limits of quantification as defined by USP and EP pharmacopeial standards.
Bernoulli equation Determination through LAB work.pdfBapi Mondal
Applying Bernoulli equation to determine the orifice throat diameter of the
given orifice meter and plotting the following curves.
a) Pressure difference vs Reynolds number.
b) Log pressure difference vs Log velocity
c) Log average velocity vs manometer reading and find the slope of the line.
Atomic emission spectroscopy involves converting a sample into excited gaseous atoms and ions that emit light at characteristic wavelengths. The sample is identified by its emission wavelengths and concentration is determined from emission intensity. Samples can be excited by high temperatures from flames or plasmas. Emission lines are analyzed using monochromators and detected using photomultiplier tubes. An internal standard method is often used to compensate for fluctuations in emission intensity. Common excitation sources include flames, plasma torches, and electrical arcs or sparks.
Atomic emission spectroscopy involves converting a sample into excited gaseous atoms and ions that emit light at characteristic wavelengths. The sample is identified by its emission wavelengths and concentration is determined from emission intensity. Samples can be excited by high temperatures from flames or plasmas. Emission lines are analyzed using monochromators and detected using photomultiplier tubes. An internal standard method is often used to compensate for fluctuations in emission intensity by dividing analyte emission intensities by the internal standard intensity. Common excitation sources include flames, plasma torches, and electrical arcs or sparks.
The document discusses charged aerosol detection, which can detect non-volatile and semi-volatile compounds that lack a chromophore or the ability to ionize. It compares charged aerosol detection to evaporative light scattering detection (ELSD). Charged aerosol detection has better sensitivity, linearity, and dynamic range than ELSD. It provides consistent detection of analytes independent of their chemical structure. The document presents several examples of applications using charged aerosol detection to analyze compounds such as adjuvants, glycans, carbohydrates, steviol glycosides, algal biofuels, and active pharmaceutical ingredients. It also describes using an inverse gradient to obtain a uniform response from charged aerosol detection when
No single liquid chromatography (LC) detector delivers ideal results. Often with LC detectors one analyte responds more strongly than another, or may not respond at all. What is most desired is the ability to accurately measure a wide range of analytes with consistent response simultaneously.
Charged Aerosol detection (CAD) is a mass sensitive technique for determining levels of any non-volatile and many semi-volatile analytes after separation by liquid chromatography. This technique provides consistent analyte response independent of chemical characteristics and gives greater sensitivity over a wider dynamic range. An analytes response does not depend on optical properties, like with UV-vis absorbance, or the ability to ionize, as with mass spectrometry (MS). The presence of chromophoric groups, radiolabels, ionizable moieties, or chemical derivatization is needed for detection.
2. 2
Overview
Background
Projects
– Poor AA:FA Ratio Sample Analysis
– Effect of sitting time on ore samples
– Average Preg Rob Percent on Blast Hole Standard
– Effect of Preg Rob volume with Blast hole standard
– XRF New Gold Pin Method Calibration
Other tasks
Challenges
Future Plans
Acknowledgements
3. 3
Background
Home: Owatonna, MN
College: Rapid City, SD
– South Dakota School of Mines
& Technology
– B.S. Chemistry in 2016
– Activities:
– Alpha Chi Sigma
– American Chemical Society
– Chemistry tutor
Other Experiences
– ACS Undergraduate Award for
Analytical Chemistry
– Sanford Underground Research
Facility MAJORANA Temporary
Clean Room
4. 4
Poor AA:FA Ratio Sample Analysis
Purpose: To analyze the effect shaking time has on ore samples with
poor AA:FA ratios
Hypothesis: AA:FA ratios will increase with longer shaking time
Procedure:
1. Put 10.00g of each sample into the 50mL centrifuge tubes
2. Put one pump of CN- in each tube
3. Shake for the allotted time
4. Centrifuge for 10 minutes
5. Decant immediately into the Varian test tubes
6. Analyze with the AA
5. 5
Poor AA:FA Ratio Samples
Conclusion: As predicted, the AA:FA ratios increased significantly with longer
shaking time.
0.64
0.56
0.66
0.58
0.42
0.74
0.89
0.94 0.95 0.98
0.89
0.99
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
1.4
1.5
1.6
8:35 9:00 9:50 11:20 12:50 14:35
Au(oz/ton)
CH-051314-02 Samples
Shaking Time vs. Concentration
Original 1 Hour 1 Hour ReRun 2 Hours 3 Hours Original Ratio 3 Hour Ratio
6. 6
Average AA:FA Ratio Samples
Purpose: To analyze the effect shaking time had
on a mixture of ore samples with good and bad
AA:FA ratios
Hypothesis: AA:FA ratios will increase with
longer shaking time
Samples with average original AA:FA ratios served
as a control
Same Procedure
7. 7
Average AA:FA Ratio Samples
Conclusion: AA:FA ratios only increased with longer shaking time in the case of
samples with poor ratios. Samples with average ratios did not increase significantly.
This test confirms that shaking time alone was not the only issue with the poor samples.
0.90 0.93
1.00 0.98
0.92
0.68
0.76
0.89
0.50
0.85
0.59
0.91 0.95
0.90 0.94 0.96 0.95 0.91
0.81 0.80
0.94
0.57
0.86
0.81
0.97 0.94
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
Au(oz/ton)
Samples
Concentration vs Shake Time
Experiment #2
Original 1 Hour 2 Hours 3 Hours Original Ratio 3 Hour Ratio
Values BELOW the dots are the Original Ratio
Values ABOVE the dots are the 3 Hour Ratio
8. 8
Side by Side Comparison
0.64
0.56
0.66
0.58
0.42
0.74
0.90 0.93
1.00 0.98
0.92
0.68
0.76
0.89
0.50
0.85
0.59
0.91
0.95
0.89
0.94 0.95 0.98
0.89
0.99
0.90
0.94 0.96 0.95
0.91
0.81 0.80
0.94
0.57
0.86
0.81
0.97 0.94
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
1.4
1.5
1.6
Auoz/ton)
Samples
Shaking Time vs Concentration of Au
Complete List
ORIGINAL 1 HOUR 1 HOUR RERUN 2 HOURS 3 HOURS ORIGINAL RATIO 3 HOUR RATIO
Values BELOW the dots are the Original Ratio
Values ABOVE the dots are the 3 Hour Ratio
9. 9
Particle Size of Gold
Scanning Electron Microscope at Goldstrike
They told us that particle size was not an
issue because they only found one piece
larger than 2.5 microns
10. 10
Effect of sitting time on ore samples
Purpose: To analyze the effect of sit time has on the
AA:FA ratio on samples with poor AA:FA ratios
Hypothesis: The sit time will increase the AA:FA ratio
because the CN- is in contact with the gold, affecting the
results and purpose of the test
Procedure:
1. Put 10g of each sample into the 50mL centrifuge tubes
2. Put one pump of CN- in each tube and shake for one hour
3. Sit out for the determined time (overnight, over the weekend)
4. Centrifuge for 10 minutes
5. Decant immediately into the Varian test tubes
6. Analyze with the AA
11. 11
Sit Time
Conclusion: The ratios did increase, as expected, because the gold was in
contact with CN-. This confirms that the longer the gold is in contact with CN- ,
the ratio will increase enough to skew the results for poor samples.
0.64
0.56
0.66
0.58
0.42
0.74
0.90
0.97 0.98
1.03
0.98
1.04
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
8:35 9:00 9:50 11:20 12:50 14:35
Au(oz/ton)
Sample
Concentration vs Sitting Time
Original Immediately Overnight Weekend Original Ratio Weekend Ratio
12. 12
Preg Rob Analysis with BH Standard
Purpose:
– To get a average Preg Rob percent using the blast hole standard
– To see how inaccurate dispensing of Preg Rob solution (or any solution)
can affect results
Hypothesis: Concerning dispensing the solutions:
– Adding too much will cause there to be too much gold in solution, thus
causing some to be absorbed by the carbon in the standard via equilibrium
Procedure:
1. Put 10g of BH standard into the 50mL centrifuge tubes
2. Put one pump (at specific volumes) of Preg Rob in each tube and shake for one hour
3. Centrifuge for 10 minutes
4. Decant immediately into the Varian test tubes
5. Analyze with the AA
Au(s) + 2CN-
(aq, excess)⇌ [Au(CN)2]-
(aq)
13. 13
Preg Rob Results
Conclusion: Most of the standards are within the first standard
deviation, except for a few spots, which were on purpose.
0.1990
0.1700
0.1800
0.1900
0.2000
0.2100
0.2200
0.2300
1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 77 81 85 89 93 97 101105109113117121125129133137141145149153157
Au(oz/ton)
Sample #
Standard Preg RobPR AA oz/ton Average std 1 up down std 2 up down std 3 up down
14. 14
Preg Rob Percentages
All negative PR% are reported as zeros
The average was 2.44%, excluding the last 40 sample points.
2.44
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 77 81 85 89 93 97 101105109113117121125129133137141145149153157
Percentage
Sample
PR %
Preg Rob % Average PR% value
15. 15
Patches of zeros
Most all of the reported zeros were negative PR values.
I looked into see why.
Amount of solution had something to do with it, so I did
both.
– 20 samples each
– 121-140 with 21g of CN- solution
– 141-160 with 18g of CN- solution
16. 16
Volume and Preg Rob %
• Conclusion:
• Adding too little brings the concentrations far outside the mean because nothing is being absorbed. All of the gold is
being analyzed and not absorbed.
• Adding too much lets more gold be absorbed.
2.44
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
1
8
15
22
29
36
43
50
57
64
71
78
85
92
99
106
113
120
127
134
141
148
155
Percentage
Sample
PR %
Preg Rob % Average PR% value
21g
18g
0.1990
0.1700
0.1800
0.1900
0.2000
0.2100
0.2200
0.2300
1
8
15
22
29
36
43
50
57
64
71
78
85
92
99
106
113
120
127
134
141
148
155
Au(oz/ton)
Sample #
Standard Preg Rob
PR AA oz/ton Average std 1 up
Type equation here.
17. 17
XRF Calibration
Purpose: To get the new gold standard discs to calibrate
and measure properly
Issues:
– Au curve didn’t go through zero
– Causing the concentrations to be read incorrectly
y = 0.5349x + 44.138
R² = 0.9574
0.0000
20.0000
40.0000
60.0000
80.0000
100.0000
0 20 40 60 80 100
CalculatedAu%
Standard Au%
Before Gold Blank CCalc Au %
y = 0.9972x + 0.2221
R² = 0.9972
-10.0000
10.0000
30.0000
50.0000
70.0000
90.0000
0 20 40 60 80 100
CalculatedAu%
Standard Au %
After Gold Blank CCalc Au %
18. 18
What I tried
Sample details
– Taking into account mass and diameter,
accurate and average
– Changing measuring time
– Green denotes data within ±1% of FA
values.
– 2 samples were within the range for
Au and most were in range for Ag
– Not good
19. 19
After calling PANalytical
Gold blank as a standard
Modifying the application to include:
– Correction Factors
–FP
– Error Weight Type
–Absolute
–Square Root
20. 20
Gold Blank
Robert made a silver proof for
me- about 29.936g and 32mm
Adding it brought the line
through zero
– Put a point near zero pulling the
line down with real data
Green denotes data within ±1%
of FA values.
– More green, but not as good as
it needs to be
21. 21
Correction Factor
Used FP (Fundamental Parameters)
– Math that takes into account what we told it to be
verses what is measures
– Adjusts the data points to fall into the curve better
– Good for long ranges of points
Reds are out of range
Greens and browns are
within the ±1%.
Standards run as samples
before correction
Standard XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag
99.999 97.1220 1.7410 2.8770 -1.7410
98/2 96.9750 2.7910 1.0250 -0.7910
96/4 95.4970 4.2420 0.5030 -0.2420
92/8 93.8590 7.0240 -1.8590 0.9760
88/12 90.7310 10.0320 -2.7310 1.9680
0/99.999 -0.2310 99.9840 0.2310 0.0150
after FP correction (Au, Ag)
(Absolute, Absolute) Error Weight Type DEFAULT SETTING
Standard XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag
99.999 98.8470 -0.6140 1.1520 0.6140
98/2 97.9090 1.2440 0.0910 0.7560
96/4 96.4130 3.7860 -0.4130 0.2140
92/8 93.6010 8.4980 -1.6010 -0.4980
88/12 87.7780 13.3280 0.2220 -1.3280
0/99.999 -0.0730 99.5210 0.0730 0.4780
22. 22
Error Weight Type
Absolute
– Good for wide range data
– Looks at the entire spectrum
Square Root
– Takes the square root of
the error value
– Makes the error smaller
– Works best for points that
are very close together
after FP correction (Au, Ag)
(Absolute, Absolute) Error Weight Type
CCalc Au % Ccalc Ag% % DIFF Au % Diff Ag XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag
99.0068 -0.0153 0.9922 0.6231 98.8470 -0.6140 1.1520 0.6140
97.9981 1.7838 0.0019 0.7664 97.9090 1.2440 0.0910 0.7560
95.9807 4.2354 0.0193 0.2364 96.4130 3.7860 -0.4130 0.2140
92.9336 8.7994 -0.9336 -0.4737 93.6010 8.4980 -1.6010 -0.4980
88.1532 13.5340 -0.1532 -1.3599 87.7780 13.3280 0.2220 -1.3280
-0.0734 97.2761 0.0734 0.2078 -0.0730 99.5210 0.0730 0.4780
(Absolute, Square Root) Error Weight Type
CCalc Au % Ccalc Ag% % DIFF Au % Diff Ag XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag
99.0068 -0.6231 0.9922 0.0153 98.5360 -0.0080 1.4630 0.0080
97.9981 1.2336 0.0019 0.2162 97.7010 1.7880 0.2990 0.2120
95.9807 3.7636 0.0193 -0.2354 96.2420 4.2480 -0.2420 -0.2480
92.9336 8.4737 -0.9336 -0.7994 93.4930 8.8100 -1.4930 -0.8100
88.1532 13.3599 -0.1532 -1.5340 87.7250 13.4930 0.2750 -1.4930
-0.0734 99.7912 0.0734 2.7229 -0.0730 97.0110 0.0730 2.9880
• Does more math to correct points based upon each scenario
• Both are pretty close. So
I asked for PANalytical’s
recommendation.
• They recommended
Absolute for Au and
Square Root for Ag
23. 23
XRF Samples
Used pin samples from last months
inventory
Filled in the blanks of data
Green-needed Gold Pin Method (old
method)
Blue- needed Fire Assay
White- had all data
Navy- pins did not roll out well
enough for XRF analysis
Average Diameter
(mm)Samples Mass (g)
P19496-04 9.638 28.125
P19505-13 10.804 31.5
P19514-23 9.928 30
P19524-26 8.539 30.625
P19527-36 12.398 35.625
P19537-46 7.973 29.25
P19547-49 10.652 33.75
P19550-59 12.041 33.125
P19560-68 8.045 35.75
P19569-72 12.748 41.25
P19573-75
P19576-83
P19584-90
P19591-98 7.875 26.25
P19599-606 11.321 30
P19607-12
P19613-21 11.558 32.25
P19622-27 13.025 34
P19628-35 10.495 34
P19636-42 11.803 30.25
P19643-50 12.05 30.25
24. 24
XRF Samples
– Accurate mass and average
diameter
– Mass and diameter set to 1g/1mm
– 500g/60mm
– No mass or diameter input
I made observations on
each pin sample as well
The following will negatively
affect XRF analysis:
– Sample too small
– Cracks
– Not flat
– Face is not uniform
Observations of the sample
Samples
P19496-04 almost not wide enough
P19505-13
P19514-23 large crack
P19524-26 not quite wide enough for window without cracks, 2
P19527-36 not quite flat,
P19537-46 cracks and etchings on one side
P19547-49 not flat
P19550-59
P19560-68 long crack in window, not flat,
P19569-72 not flat, dark impurity marks- from roller?
P19573-75
P19576-83
P19584-90
P19591-98 not big enough for the window without cracks in it
P19599-606 not wide enough for window
P19607-12
P19613-21 not flat
P19622-27 not big enough for the window, 2 cracks
P19628-35 large enough to cover window, but hairline cracks are in window too, 3
P19636-42 almost too short to cover window, not completely flat
P19643-50 almost too short to cover window, 2 hairline cracks that could impede analysis
The samples were analyzed with the following parameters
using the New Gold Pin Method:
26. 26
Sample details effects conclusion
Mass is not a huge factor unless way out of range
– 1g/1mm was pretty true to FA
– 500g/60mm was incredible out of range
Most accurate results with sample inputs of:
– Accurate mass
– Average (approximate) diameter
27. 27
How to fix the sample prep?
Uniform sample diameter
– Use the molds that Jerry bought
–~33mm
– Eliminates varying diameters
Able to have a set diameter in program
– Would only need to input mass
28. 28
Other Things I’ve Learned
Pulp Weigh
XRF Carbon sample prep
Running AA’s
Helping in the Wet Lab
Made solutions
– 6#/ton Cyanide
– Preg Rob
6#/ton Cyanide Titration with silver nitrate
29. 29
Challenges
EXCEL
The slowness of the XRF computer
Troubleshooting calibration issues on existing methods
30. 30
My Future Plans
Graduate School for a Master’s Degree
– Organic- so far
– Possibly pharmaceuticals
– Still have Physical and Inorganic Chem
Basic benzaldehyde ^ ^Same solution with Thiamine HCl added to it.
Start of the synthesis to make Phenytoin and anti-epileptic drug.
Benzipinacol crystals from the
Photochemical reaction of
benzophenone with IPA and light
31. 31
Thank you!
Barrick Gold- Process Division
Jerry Vandergriff
Gayle Fitzwater?
Nancy Plummer
Eric Brown
Dawn Gann
All of the Crews
Beep beep motherfuckers!
After analyzing the poor ratio samples, I was given a set of samples that gave a range of good and poor ratios. The average samples served as a control to show whethe ror not the shaking time affects every sample.
Same hypothesis
The poor ore samples did increase in AA:FA ratio with increased shaking time, but when normal samples were run, theirs did not increase as much as the poor ones did.
The next idea was gold particle size.
There have been issues around in the lab where the samples were not decanted as soon as they should have been
There have been concerns about Preg robbing from people. They said that they have been reporting a higher than 10% preg rob.
This could be for many reasons
The ore contains a lot of carbon
The Pregrob standard is off
etc
Panalytical recommended Abs, Abs or Abs SquRt
They said Abs and SquRt because the gold could be anywhere and the silver will more than likely be clustered together at the lower end of the spetrum, so the calibration should reflect that accordingly