Overview of webinar:
Rechargeable, manganese-based, lithium-ion batteries (LiBs) are environmentally friendly, have a good safety record, and can be made at a lower cost than other metal-based LiBs. However, they have a shorter lifetime. Much research has been spent on improving product safety, cycle life, and product performance, yet understanding fundamental processes and degradation mechanism in LiBs remains a challenge. Identifying breakdown products and understanding degradation processes can lead to enhancing battery performance, improvements in product safety, and insight into component failure mechanisms.
High performance with unparalleled traceability and unquestionable precision – without comprising ease-of-use and with maximum convenience. Metrohm has it all...titration is more than simple with us
Life Cycle Management of Chromatographic Methods for BiopharmaceuticalsWaters Corporation
The development and manufacture of biopharmaceuticals is a dynamic and rapidly growing industry. By the nature of their production, biopharmaceuticals are highly complex heterogeneous mixtures that require many analytical techniques for characterization and routine testing. As a result, many manufacturers incorporate life cycle management into their respective workflows to take advantage of newer technologies and methodologies to ensure efficacy and patient safety.
In this presentation, we will address the range of chromatographic categories – HPLC, UHPLC, and UPLC – and define the characteristics associated with each. The discussion will continue with several examples of methods transferred from legacy HPLC instrumentation to modern UHPLC and UPLC instruments. We will compare qualitative and quantitative data across each chromatographic class. Resolution, sensitivity, and overall run time will be used as metrics to assess the success of the method transfer to the respective LC platform, to ensure the transferred methods are in line with current acceptance criteria.
Learn:
- The importance of selecting the correct instrumentation to meet user needs.
- Which parameters influence method transfer from one LC platform to another.
- How workflows can benefit from features such as Multi-flow path technology and Gradient SmartStart when transitioning methods.
Interested in more detail? Watch the related on-demand webinar: http://view6.workcast.net/register?pak=3479247014905635
High performance with unparalleled traceability and unquestionable precision – without comprising ease-of-use and with maximum convenience. Metrohm has it all...titration is more than simple with us
Life Cycle Management of Chromatographic Methods for BiopharmaceuticalsWaters Corporation
The development and manufacture of biopharmaceuticals is a dynamic and rapidly growing industry. By the nature of their production, biopharmaceuticals are highly complex heterogeneous mixtures that require many analytical techniques for characterization and routine testing. As a result, many manufacturers incorporate life cycle management into their respective workflows to take advantage of newer technologies and methodologies to ensure efficacy and patient safety.
In this presentation, we will address the range of chromatographic categories – HPLC, UHPLC, and UPLC – and define the characteristics associated with each. The discussion will continue with several examples of methods transferred from legacy HPLC instrumentation to modern UHPLC and UPLC instruments. We will compare qualitative and quantitative data across each chromatographic class. Resolution, sensitivity, and overall run time will be used as metrics to assess the success of the method transfer to the respective LC platform, to ensure the transferred methods are in line with current acceptance criteria.
Learn:
- The importance of selecting the correct instrumentation to meet user needs.
- Which parameters influence method transfer from one LC platform to another.
- How workflows can benefit from features such as Multi-flow path technology and Gradient SmartStart when transitioning methods.
Interested in more detail? Watch the related on-demand webinar: http://view6.workcast.net/register?pak=3479247014905635
Presentation at BPI West by Abhinav A. Shukla, Ph.D. Senior Vice President Development & Manufacturing KBI Biopharma, Durham NC, February 27 – March 2, 2017, Platforms for mAb Commercialization
Learn about Waters technologies for analyzing oligonucleotides with LC-MS. We offer solutions for both oligo characterization and QC monitoring. Learn more: http://www.waters.com/oligos
Analysis of pesticides in food using both LC- and GC-MS/MS, with data and description of Atmospheric Pressure GC, available on the same system as UPLC-MS/MS with rapid changeover.
What is TOC & why it's measurement in production process usable water is important in the pharmaceutical industrial environment in respect to product quality
A Beginner’s Guide to the Principles and Applications of FRETExpedeon
FRET, or Fluorescence Resonance Energy Transfer, was first described more than 50 years ago. The availability of new dyes and detection technology has resulted in a much wider use of the application in recent years, especially in biomedical R&D.
Our objective is to demonstrate how Total Organic Carbon (TOC) analysis is a quick, accurate screening alternative for critiquing cleaning validation samples.
Typical laboratory testing includes the development and implementation of analytical methods that test for residues of previously manufactured products, cleaning detergents, chemicals, solvents, byproducts, degradants, and microbial contaminates (from wet environments after the cleaning validation). TOC analysis has become one of a series of analytical methods used to assess the effectiveness of a cleaning validation. Almost any residual compound can be detected if three non-specific analytical (screening) tests are applied to a cleaning validation: TOC (for organics characteristics– carbon), pH (for acid/base characteristics) and conductivity (for ionic characteristics).
Analytical precision and analyte recovery for cleaning agents (detergents) and other possible contaminates that may be found in clean in place (CIP) solutions will be investigated for TOC. TOC analysis demonstrated equivalent or better correlation to cleaning validation compounds in comparison to traditional analytical methods. Some qualities that make TOC a viable part of a cleaning validation includes: high sensitivity, high recovery of samples, non-specific measurement, ease of use (little method development), minimal interferences and cost effectiveness.
This presentation will focus on the characteristics and benefits of TOC with general implementation guidelines for performing cleaning validation. By taking a proactive approach to one’s cleaning validation program, one can guarantee effective performance while minimizing downtime.
It is a multi-element analysis technique that will separate a sample into its constituent atoms and ions and excite it to a higher energy level.
Cause them to emit light with a distinct wavelength, which will be analyzed.
Determination of pesticide multi-residues in river water by LC-Orbitrap-MSJorge Casado Agrelo
A quantitative targeted screening method for the determination of residues of a broad group of more than 250 pesticides in surface water samples was developed and validated.
Presentation at BPI West by Abhinav A. Shukla, Ph.D. Senior Vice President Development & Manufacturing KBI Biopharma, Durham NC, February 27 – March 2, 2017, Platforms for mAb Commercialization
Learn about Waters technologies for analyzing oligonucleotides with LC-MS. We offer solutions for both oligo characterization and QC monitoring. Learn more: http://www.waters.com/oligos
Analysis of pesticides in food using both LC- and GC-MS/MS, with data and description of Atmospheric Pressure GC, available on the same system as UPLC-MS/MS with rapid changeover.
What is TOC & why it's measurement in production process usable water is important in the pharmaceutical industrial environment in respect to product quality
A Beginner’s Guide to the Principles and Applications of FRETExpedeon
FRET, or Fluorescence Resonance Energy Transfer, was first described more than 50 years ago. The availability of new dyes and detection technology has resulted in a much wider use of the application in recent years, especially in biomedical R&D.
Our objective is to demonstrate how Total Organic Carbon (TOC) analysis is a quick, accurate screening alternative for critiquing cleaning validation samples.
Typical laboratory testing includes the development and implementation of analytical methods that test for residues of previously manufactured products, cleaning detergents, chemicals, solvents, byproducts, degradants, and microbial contaminates (from wet environments after the cleaning validation). TOC analysis has become one of a series of analytical methods used to assess the effectiveness of a cleaning validation. Almost any residual compound can be detected if three non-specific analytical (screening) tests are applied to a cleaning validation: TOC (for organics characteristics– carbon), pH (for acid/base characteristics) and conductivity (for ionic characteristics).
Analytical precision and analyte recovery for cleaning agents (detergents) and other possible contaminates that may be found in clean in place (CIP) solutions will be investigated for TOC. TOC analysis demonstrated equivalent or better correlation to cleaning validation compounds in comparison to traditional analytical methods. Some qualities that make TOC a viable part of a cleaning validation includes: high sensitivity, high recovery of samples, non-specific measurement, ease of use (little method development), minimal interferences and cost effectiveness.
This presentation will focus on the characteristics and benefits of TOC with general implementation guidelines for performing cleaning validation. By taking a proactive approach to one’s cleaning validation program, one can guarantee effective performance while minimizing downtime.
It is a multi-element analysis technique that will separate a sample into its constituent atoms and ions and excite it to a higher energy level.
Cause them to emit light with a distinct wavelength, which will be analyzed.
Determination of pesticide multi-residues in river water by LC-Orbitrap-MSJorge Casado Agrelo
A quantitative targeted screening method for the determination of residues of a broad group of more than 250 pesticides in surface water samples was developed and validated.
Determination of benzotriazoles in water samples by polyethersulfone solid-ph...Jorge Casado Agrelo
In this work, we investigate the suitability of a commercial available and low cost polyethersufone (PES) sorbent for the microextraction of 1H-benzotriazole (BTri), and four polar derivatives (4 and 5-methyl-1H-benzotriazole, 4-TTri and 5-TTri; 5,6-dimethyl-1H benzotriazole, XTri; and 5-chloro-1H-benzotriazole, 5-ClBTri) from surface and wastewater samples. The performance of liquid chromatography (LC) combined with quadrupole time-of-flight mass spectrometry (QTOF-MS) for the selective determination of target compounds is also discussed. Parameters affecting the efficiency of the microextraction step, such as sample’s pH, ionic strength, stirring speed and extraction lapse of time, and the PES membrane desorption process have been thoroughly investigated. Analytes were extracted from 15 mL samples, containing a 30% of sodium chloride and adjusted at pH 4.5, using a tubular PES sorbent (5 cm length x 0.7 mm o.d., sorbent volume 42 μL). After methanol desorption and solvent exchange, benzotriazoles were determined by LC-MS, with chromatograms extracted using a mass window of 20 ppm, centered in their [M+H]+ ions. The identity of chromatographic peaks was confirmed with accurate ion product scan (MS/MS) spectra. The method provided limits of quantification (LOQs) between 0.005 and 0.1 ng mL-1, and relative recoveries from 81% to 124% (except for XTri in sewage samples, ca. 60%) with associated standard deviations between 2% and 9%. The efficiency of the PES sorbent for the extraction of these compounds has been compared with that attained by stir-bar sorptive extraction (SBSE), with polydimethylsiloxane (PDMS) covered stir bars. The PES polymer achieved significant higher responses (5- to 20-fold) for these polar pollutants. To the best of our knowledge, this research constitutes the first application of both techniques (microextraction using a PES sorbent and LC-QTOF-MS) for benzotriazoles determination in water samples. The method was used to provide data regarding the levels of target compounds in river and urban wastewater samples, including the individual quantification of 4-methyl and 5-methyl-benzotriazole isomers. Obtained results confirmed the ubiquity of benzotriazole, 4-methyl and 5-methyl-benzotriazole in urban wastewater and their incomplete removal at sewage treatment plants
Multiresidue analysis of pesticides in water by solid-phase extraction couple...Jorge Casado Agrelo
A quantitative targeted screening method for the determination of residues of a broad group of more than 250 pesticides in surface water samples was developed and validated. Substances were isolated from the sample matrix by solid-phase extraction (SPE), using hydrophilic-lipophilic balanced polymeric sorbents (HLB), and analysed by reversed-phase liquid chromatography (LC) - Orbitrap high-resolution mass spectrometry (HRMS). Compounds were quantified in full scan acquisition mode, while accurate data dependant MS2 analysis was simultaneously triggered for the unambiguous identification of the targeted substances. This analytical protocol combines simplicity and robustness, with quantitative recoveries for 215 of the pesticides, negligible matrix effects during electrospray ionisation (ESI) and limits of quantification (LOQs) below 5 ng L-1 for 204 of the analysed compounds. Method capabilities were checked at qualitative and quantitative levels, analysing a set of four river water samples from rural areas in the Southwest of England. A total of 33 different pesticides were found in these samples with MCPA present at the highest concentration, in excess of 130 ng L-1. Retrospective examination of the LC-HRMS chromatograms permitted the identification of an additional pesticide and a group of nine antimicrobials and veterinary drugs that were also present in the processed samples.
Using LC-MS/MS and Advanced Software Tools to Screen for unknown and Non-targ...AB SCIEX India
LC-MS/MS is a powerful tool for the analysis of Pharmaceuticals and Personal Care Products in environmental samples. The combination of high resolution LC separation and high sensitivity MS/MS is the most powerful tool to screen and quantify targeted compounds.
Determination of Common Counterions and Impurity Anions in Pharmaceuticals Using a Capillary HPIC System with Suppressed Conductivity and Charge Detection
Recently, identification and quantification of ions in early stage drug development has gained increasing attention, because the APIs maybe contaminated with different counter ions from synthesis steps, and because selecting the counter ion to enhance APIs’ solubility and stability is becoming a key step in formulation development. This presentation demonstrates the identification and quantification of 22 commonly found anions in pharmaceuticals in a single run using a high-pressure capillary IC system (HPIC) with 4-μm particle ion –exchange column, and CD-QD dual detectors.
Lab talk 020710 comparing bac r_rel 1 with e coli rrel 1 for use in fret assayLaurence Dawkins-Hall
Comparing activity of baculovirus and E Coli expressed rREL 1 fractions in context of HT FRET assay for screening compound libraries to identify REL1 antagonist hits
Total workflow solutions that cater every budget, performance or throughput requirement for confirmatory dioxin analysis were discussed in the Thermo Scientific Lunch Seminar at the Dioxin 2014 conference. D. Hope, CEO & Owner Pacific Rim Laboratoris, presented about the economies of POPs analysis from the point of view of a leading laboratory using the very latest dioxin method kits. C. Cojocariu, Thermo Fisher Scientific, discussed recent changes in EU regulations which bring new opportunities for more labs to participate in dioxin analysis and about validating methods using Gas Chromatography triple quadrupole for PCDD/Fs with reference to the new EU Commission Regulation No. 709/2014.
This webinar will provide pesticides residue analysts with valuable information on software method development and data processing for the analysis of pesticide residues in food for both LC–MS and GC–MS. Technical experts will review the latest in software advances to help with data interpretation and reporting.
This presentation will focus on the new USP Chapter <2232> on elemental contaminants in dietary supplements. In particular, it will discuss the permitted daily exposure (PDE) limits of the four heavy metals of toxicological concern defined in the chapter and the different options for measurement strategies to meet these limits. In addition it will give an overview of the new USP Chapter <233>, which describes the suggested sample preparation, instrumental techniques and validation protocols required to demonstrate compliance of the analytical procedure used.
This webinar will provide pesticides residue analysts with valuable information on the development and optimization of gas chromatographic separations and mass spectrometry methods for the analysis of pesticide residues in food. The expert speakers will share their knowledge in understanding the critical points of the method, assisting analysts in modifying existing methods, and understanding instrumental and software technologies with the goal of improving laboratory productivity and reducing the overall cost per sample. The results of experiments for both screening and quantification workflows, using the latest technology, will be presented.
In this webinar Dr. Bertrand Rochat of Faculté de Biologie et de Médecine of the Centre Hospitalier Universitraire Vaudois (CHUV) at Lausanne discusses the paradigm shift to high resolution mass spectrometry (HRMS) in clinical research for quantitative analyses (sensitivity, selectivity, etc.). Quantifications in high resolution full scan or MS/MS mode will be compared with triple quadrupole MS. He will present Quan/Qual analysis with a study on the fate of an anti-cancer agent in human: with over 40 metabolites being identified and quantified; as well as metabolomics data underscoring the versatility of high resolution Orbitrap MS.
This webinar will provide pesticides residue analysts with valuable information on the development and optimization of chromatographic separations and mass spectrometry methods for the analysis of pesticide residues in food. The expert speakers will share their knowledge in understanding the critical aspects of the method, assisting analysts in optimizing their methods for the most challenging analyses.
Many factors impacting the measurement precision of ICP-OES and ICP-MS are still often neglected for everyday operation, however. Sample preparation is one of the factors that play a crucial role in the success of high-quality sample analysis. In this webinar, our experts will discuss sample preparation to: 1) improve analysis precision 2) make difficult samples easy to be analyzed 3) eliminate sample dilution to minimize error introduction.
For more information, please visit here: http://chrom.ms/CtRtKpw
Join the experts as they discuss the use of accelerated solvent extraction and QuEChERS techniques for the extraction of pesticide residues from a diverse range of food samples. Tips and tricks for improving the extraction efficiency will be covered, along with selection criteria for each technique by sample type, assisting analysts in modifying existing methods or developing new methods to tackle their analytical challenges
The webinar is all about Ultra High Pressure Liquid Chromatography (UHPLC) performance and how new column technology can deliver the best separation power and be married with the best UHPLC system to ensure an outstanding result. It covers how chromatographers can ensure that even very complex and unfamiliar samples are assayed with the highest scrutiny possible? The webinar discusses how to get the most out of solid core column technology with the right UHPLC system. It covers the use of an extremely long column approach for ultra-high resolution assays and the outlines the importance of robustness and retention time stability.
In the pharmaceutical arena there is great interest in solid core technology, where there is a broad range of sample types as well as requirements throughout the process of developing new chemical entities. The presentation looks at how solid core technology can be readily adapted to cope with the challenges associated with the pharmaceutical sector, looking at various sample matrices and molecular entities, from small molecules to large biomolecules. The presentation gives an insight into how varying the solid core to porous layer allows the user to optimize separation performance by reducing extra band broadening. Data presented demonstrates how this technology is more robust than fully porous systems when analyzing biological extracts, routinely used in DMPK departments, resulting in longer column lifetimes.
Stationary Phase and Mobile Phase Selection for Liquid Chromatography
The presentation focuses on how to choose the appropriate mode of separation, the correct column and highlights the importance of the correct mobile phase. This approach will be applied to a wide selection of compound types ranging from proteins, peptides, glycans to small pharmaceutical molecules and their metabolites. It will also look at specific application areas for monoclonal antibody analysis, namely: titer, aggregation, charge and oxidation variant. Platform methods for biologics characterization are also discussed.
Investigation into the design and application of solid core stationary phases has led to a better understanding of how the phases work and has resulted in their design aligned to the structure of the analytes being separated. The current range of columns available is discussed both in terms of selectivities, and also morphologies, allowing informed decisions to be made by the chromatographer. Using real life examples, coupled with advanced modeling, the effects of the particle size and morphology will be given for both small and large molecules, offering an insight into what the future holds for solid core products.
Over the past decade, the number of mAb candidates entering the clinical pipeline has grown significantly. In addition, the number of ADCs that use mAb specificity to carry drug payloads to target sites has increased. As a result, analytical characterization is in high demand.
This webinar discusses new innovations in sample preparation, column technology, UHPLC, and high resolution mass spectroscopy (HRMS) that allow the development of analytical methods with run times of less than 5 minutes for all routine methods.
Over the past decade, there have been a growing number of mAb candidates entering the clinical pipeline. This results in a large increase on the demand for analytical characterization. This seminar discusses advances in analytical method development with analytical run times below 10 minutes for all routine methods with intelligent, integrated chromatography workflows. Orbitrap technology has been established as the most powerful MS technology for protein characterization. How this can be incorporated into a complete workflow for bio-pharma analysis is also discussed.
Analysis of Disinfection Byproducts by Ion Chromatography
In this presentation, the use of ion chromatography for the determination of bromate, chlorate and haloacetic acids for compliance monitoring according to various ISO standards (15061, 11206, 10304-4, 23631) and U.S. EPA Method 557 will be discussed. Examples will include IC methods using electrolytically generated hydroxide eluents on an RFIC™ system.
Analysis of Anions and Cations in Produced Water from Hydraulic Fracturing Using Ion Chromatography
This presentation describes the use of ion chromatography (IC) to determine anions and cations in produced water from three different hydraulic fracturing sites. Considerable variation in ion concentration was found, which was attributed to differences in the geology of the locations from which samples were obtained.
Analysis of Cations in Hydraulic Fracturing Flowback Water from the Marcellus Shale Using Ion Chromatography
This presentation describes the determination of cations in hydraulic fracturing flowback water using ion chromatography. In this work, sodium was most abundant, followed by calcium, strontium, magnesium, potassium, barium, ammonium, and then lithium, respectively. The quantity of scale-forming ions, such as calcium, strontium, and barium, is particularly informative because it can be used to determine the amount of anti-scaling agent in fracturing fluid mix that will maximize hydrocarbon recovery.
Determination of Carbohydrates in Various Matrices by Capillary High-Performance Anion-Exchange Chromatography with Pulsed Amperometric Detection (HPAE-PAD)
This presentation describes the combined advantages of a reagent-free capillary format Ion Chromatography (IC) to determine monosaccharides and disaccharides in various applications, from low concentrations in synthetic urine samples to high concentrations in beverage samples. In a reagent-free IC system, the hydroxide eluent is electrolytically generated inline to deliver accurate and precise concentrations for isocratic or gradient separations by only adding deionized water. Eluent generation eliminates carbonate contamination and errors from manual preparation. A capillary scale system with µL/min flow rates can run 24/7, always on and always ready for samples.
High-performance anion-exchange chromatography with pulsed amperometric detection is valuable for oligosaccharide analysis with the value derived from the high-resolution separation followed by sensitive detection of native oligosaccharides. In this presentation the application of HPAE-PAD to oligosaccharides released from glycoproteins is demonstrated.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
Chromatography: Analysis of Phosphate and Manganese degradation Products in Aged lithium Ion Batteries
1. 1
The world leader in serving science
Rosanne Slingsby, Kate Comstock, and Paul Voelker
March 18, 2015
Analysis of Phosphate and Manganese
Degradation Products in Aged Lithium
Ion Batteries
Part #: PP71583-EN 0315S
2. 2
Li-ion Battery Analysis: IC-HRMS
What Steps Are Involved?
IC-HRMS
Thermo Scientific™ Q Exactive™ Orbitrap™ MS
• Component Identification in Untargeted and Unknown Workflows
IC-CD
Time (min)
125 135 145 155 165 175 185
m/z
0
100
169.0272
C 4 H 10 O 5 P
155.0115
C 3H8O5P
125.0009
C2H6O4P
139.0166
C3H8O4P
Phosphate esters
Chemical
formula
Exact
mass
Delta
ppm
C2H6O4P 125.0009 -0.1
C3H8O4P 139.0166 0.2
C3H8O5P 155.0115 0.1
C4H10O5P 169.0272 0.4
Relativeabundance
1. IC Separation using a KOH eluent
2. Full scan MS/MS acquisition
3. Component ID based on HRAM
Data
4. Propose Structure
Source for Dimethyl phosphate image: CSID:2982799, http://www.chemspider.com/Chemical-Structure.2982799.html (accessed 00:59, Feb 5, 2015)
3. 3
Ion Chromatography Coupled to High Resolution Mass
Spectrometry
Eluent
Generator
(OH– or H+)
Conductivity
Detector
High-
Pressure
Non-Metallic
Pump
H2O
Autosampler
Electrolytic
Eluent
Suppressor
CR-TC
Separation
column
Pump
Solvent
/H2O
CD
Thermo Scientific
Q ExactiveTM
HRMS
C-trap HCD Cell
Segmented
Quadrupole
RF Lens
Injection flatapole
Electrospray inlet
4. 4
Methods
• IC Parameters
Column: Thermo Scientific™ Dionex™ IonPac™AG11, AS11 (2 mm)
Eluent: 1mM KOH from 0 to 5 minutes,
1-30 mM KOH from 5 to 25 minutes
30-65 mM KOH from 25.1-45 minutes
Eluent Source: Thermo Scientific Dionex EGC 500 KOH Cartridge
Flow Rate: 0.25 mL/min
Inj. Volume: 2.5 µL
Temperature: 30 ˚C
Detection: Suppressed Conductivity,
Thermo Scientific™ Dionex™ AERS™ 500 (2 mm) Suppressor
AutoSuppression, recycle mode
Post column solvent: 90/10 Acetonitrile/water, 0.25 mL/min
• MS Parameters
HRAM full scan MS and data dependent top 3 MS/MS were collected at resolution 70K and 17.5K, respectively
Stepped NCE setting were: 30, 40, 60.
6. 6
Lithium Ion Battery (LiB) Samples
• Overall Objectives
• Screen samples to identify changes among sample types
• Use ion exchange separation to help identify analyte properties
• Identify as many components as possible
• Samples
• Control
• Calendar aged 20% loss in capacity
• Cycle Aged 20% loss in capacity
• Additional Cycle Aged 45% loss in capacity
• Other Injections
• DI water blank
• Process control blank
7. 7
Preparation of LiB Anode Samples
• Anodes were cut to known weight
• Samples were sonicated and rinsed in deionized water
• Extracts were filtered thru Whatman PP 0.45 µm filters
• Weight losses were calculated
• Filtered extracts were injected into the IC-CD-HRMS
system
16. 16
Chemical Formula for Propylsulfonate
Help from HRMS Data
Chemical formulae, Mass 123.01 Chemical formulae, Mass 123.0121
Formula Delta, ppm Formula Delta, ppm
1 C6H3O3 10.0 1 C3H7O3S -0.3
2 C3H7O3S -17.4 2 C6H3O3 27.1
17. 17
Summary: ESI(-) Mode Peaks from Sample VA
RT: 0.44 - 55.00
5 10 15 20 25 30 35 40 45 50 55
Time (min)
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
7.0
RelativeAbundance
5.29
4.20
16.19
27.73
3.59
27.86
8.15
3.32 9.80
7.01 49.79
26.73
17.98
24.16
49.19
13.95 41.79
53.2718.21
18.66 47.4428.792.23 47.1537.58 50.6136.4529.78 41.34
NL:
2.79E9
Base Peak F:
FTMS - p ESI
Full ms
[50.00-750.00]
MS VA-3-PP
6.21
14.24
15.55
17.22
23.03
Retention time Masses Delta (ppm) Possible ID
3.3-3.8 several Phosphate esters
4.20 75.0088 0.4 CH3O3
Methyl carbonate
6.21 112.9810 0.6 CH3O3FP
Methylfluorophosphate
8.15 123.0121 -0.3 C3H7O3S
Propylsulfonate
14.24 several Phosphate esters
15.55 117.0193 0.3 C4H5O4
Succinate
16.19 103.0036 -0.2 C3H3O4
Malonate
15.62 133.0137 0.4 C4H5O5
Malate
17.22 98.9601 0 HSO4
23.03 98.9696 -0.2 H2PO4
27.73 161.0092 0.2 C5H5O6
41.79 176.9360 0.3 H3P2O7
49.19 175.0249 0.5 C6H7O6
18. 18
Summary
• Ion chromatography provides ion exchange separations of
anionic (or cationic) sample components
• The IC with a conductivity detector is coupled to HRMS to
provide information in the elucidation of unknowns
• Analytes are eluted in the order of
monovalent<divalent<trivalent<higher by ion exchange
separation so information is provided on key structural
features
• To date we have found components from the aging of LiB
anodes in several chemical classes including carboxylic
acids, esters, phosphate esters, fluorophosphate esters,
sulfate esters, as well as inorganic anions
19. 19
Lithium Ion Battery Anode Samples Analysis
• Anode samples
• Control Cell Shelf Aged.
• Calendar Aged. Exhibited 20% loss in capacity.
• Cycle Aged. Exhibited 20% loss in capacity.
• Additional Cycle Aged. Exhibited 45% loss in capacity.
• Objective
• To identify the impurity and degradant present in the sample group.
• To correlate the analysis results with the batteries performance.
• IC-HRMS Analysis and software
• Thermo Scientific Dionex IC combined with the Q Exactive HRMS was used
for separation and identification.
• Thermo Scientific™ SIEVE™ software used for component extraction and
differential analysis. The Chem Spider report with the high resolution data
base for known component screening. Thermo Scientific™ Mass Frontier™
was used for structural elucidation.
20. 20
Comprehensive Li-ion Battery Analysis Workflow : IC-HRMS
HR MS Analysis
Full Scan-MS/MS
Ion Separation
Components
Identified .
_________________
. _________________
. _________________
. _________________
. _________________
. _________________
Component ID
(Chem Spider and high
resolution ion database)
Sample Preparation
Thermo Scientific high resolution accurate mass ion database contains accurate masses for common anions and
elemental compositions. Users can quickly identify the common anions by database search.
Report
Thermo Scientific
Dionex ICS-2100 System
Q Exactive MS
SIEVE Software
Component Extraction
Differential Analysis
High Resolution Anion Database
. __________ .__________
. __________ .__________
. __________ .__________
22. 22
Q Exactive MS Specifications
• Max resolution: 140,000 at m/z 200
• Scan speed: up to 12 HZ (at 17.5K)
• Mass Accuracy
• < 3 ppm external
• < 1 ppm internal
• Mass range for full scans: 50 < m/z < 6000
• Intra-scan dynamic range: > 5000:1
• Sensitivity
• Full MS: 500 fg Buspirone on column S/N 100:1
• SIM: 50 fg Buspirone on column S/N 100:1
• Polarity Switching
• One full cycle in < 1 sec (one full scan positive mode and one full scan
negative mode at resolution setting of 35,000)
Resolution at
m/z 200
Max. Scan
Speed (Hz)
17.500 12
35.000 7
70.000 3
140.000 1.5
23. 23
Why Use Q Exactive HRMS?
• Q Exactive High Resolution Accurate Mass (HRAM) data
provides ultimate confidence for qualitative and
quantitative analysis.
• High sensitivity, rapid polarity switching ensure detection of
structurally diverse compounds at all level.
• The HRAM full scan and MS/MS provide rich information for
component identification and structure elucidation
• Coupled with SIEVE and other Thermo Scientific software,
QExactive MS is best suited for known and unknown
impurity and degradant analysis for Li-ion battery and other
industrial applications.
24. 24
Q Exactive Instrument Method
• MS Method
• ESI negative ion mode
• AGC target 1e6
• Full scan MS and data dependent top 3 MS/MS at resolution 70K
and 17.5K
• Stepped NCE: 30, 45, 60
• Scan range: 50 to 750 m/z
25. 25
HR-MS for Lithium Ion Battery Anode Analysis
• HR-MS unambiguously identifies ion species based on
HRAM data
• Unit mass vs. high resolution accurate mass
m/z
(-‐)
Unit
mass
m/z
(-‐)
HRAM
Formula
(-‐)
Ionic
Species
97
96.9601
HSO4
Hydrogen
Sulfate
97
96.9696
H2PO4
DiHydrogen
Phosphate
139
139.0166
C3H8O4P
Phosphate
Ester
139
139.0071
C3H7O4S
Sulfate
Ester
26. 26
90 100 110 120 130 140 150 160 170 180 190
m/z
0
10
20
30
40
50
60
70
80
90
100
RelativeAbundance
139.0166
133.0507
110.9853
120 130 140 150 160 170 180
m/z
0
10
20
30
40
50
60
70
80
90
100
RelativeAbundance
139.0071
141.0029
UA-1-PP#1634 RT: 3.73
T:
50 60 70 80 90 100 110 120 130 140 150 160
m/z
0
10
20
30
40
50
60
70
80
90
100
RelativeAbundance
78.9591
O3 P
0.8 ppm
110.9853
C H4 O4 P
0.5 ppm
139.0166
C3 H8 O4 P
0.5 ppm
62.9642
O2 P
0.3 ppm
UA-1-PP#2322 RT: 5.26 AV: 1 NL: 2.84E7
T:
50 60 70 80 90 100 110 120 130 140 150 160
m/z
0
10
20
30
40
50
60
70
80
90
100RelativeAbundance
139.0072
C3 H7 O4 S
1.0 ppm
79.9575
O3 S
1.3 ppm
81.953264.9702
HO2 S
-1.4873 ppm
120.9965
C3 H5 O3 S
-0.1060 ppm
HRAM MS/MS Fragments for Structure Elucidation
(M-H)-(M-H)-
C3H7O4S
m/z (-) 139.0071
0.3 ppm
(-) C3H8O4P
m/z (-)
139.0166
0.4 ppm
MS/MS MS/MS
S
O
O
OOH
OH P
O
O
O
• HRAM MS/MS fragments for confident structure characterization
27. 27
HRAM MS/MS Fragments for Structure Elucidation
The structures of co-eluting peaks were identified by MS/MS fragments
O
P
O
O
O
O
P
O
O
O
OH O
P
O
O
O
OH O
P
O
O
O
OH
OH
ua-1-pp #1521 RT: 3.48 AV: 1 NL: 5.71E7
T: FTMS - p ESI Full ms [50.00-750.00]
80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290
m/z
0
10
20
30
40
50
60
70
80
90
100
RelativeAbundance
169.0272
155.0116
185.0222
125.0009
139.0166
183.012296.9601 112.9856
121.0295
163.0613 200.986589.024579.9574 190.9916
172.9915
133.0507 149.0456 255.2331217.0256101.0608 237.0148 283.2644274.9611 293.0074
ua-1-pp #1510 RT: 3.46 AV: 1 NL: 2.72E6
T: FTMS - p ESI d Full ms2 125.00@hcd45.00 [50.00-150.00]
60 80 100 120 140
m/z
0
10
20
30
40
50
60
70
80
90
100
RelativeAbundance
125.0010
62.9641
78.9591
111.9568
94.9905
ua-1-pp #1518 RT: 3.48 AV: 1 NL: 8.32E6
T: FTMS - p ESI d Full ms2 155.01@hcd45.00 [50.00-180.00]
60 80 100 120 140 160 180
m/z
0
10
20
30
40
50
60
70
80
90
100
RelativeAbundance
78.9591 110.9853
155.0117
122.9854
ua-1-pp #1502 RT: 3.44 AV: 1 NL: 1.82E7
T: FTMS - p ESI d Full ms2 169.03@hcd45.00 [50.00-195.00]
60 80 100 120 140 160 180
m/z
0
10
20
30
40
50
60
70
80
90
100
RelativeAbundance
78.9591
140.9960
169.0273
125.0010
ua-1-pp #1496 RT: 3.43 AV: 1 NL: 6.67E6
T: FTMS - p ESI d Full ms2 184.99@hcd45.00 [50.00-210.00]
50 100 150 200
m/z
0
10
20
30
40
50
60
70
80
90
100
RelativeAbundance
78.9591
122.9854
185.0223
140.9960
28. 28
IC-HRMS Result for Aged Anode
F:Li-Battary-PaulNov20-RunVA-3-PP 11/20/14 21:49:03
AS11 2mm 250ul/min
RT: 0.0 - 55.0 SM: 5G
0 5 10 15 20 25 30 35 40 45 50 55
Time (min)
10
20
30
40
50
60
70
80
90
100
RelativeAbundance
0
5
10
15
20
25
30
µS
4.0
17.1
4.9 16.1 22.914.2 27.817.95.2 49.748.626.724.113.9 50.7
17.2
23.0
14.25.34.2 16.2 27.73.6 27.88.1 9.83.3 49.87.0 26.718.0 24.2 49.213.9 41.810.6 53.3
NL:
3.21E1
ECD_1 UV
VA-3-PP
NL:
2.73E9
Base Peak F:
FTMS - p ESI
Full ms
[50.00-750.00]
MS VA-3-PP
IC Chromatogram
MS Base Peak Chromatogram
Cycle Aged Sample 45% Loss
29. 29
IC Chromatograms for All Samples
f:li-battary-paulnov20-runma-0-pp 11/20/14 23:59:15
AS11 2mm 250ul/min
RT: 0.0 - 30.0 SM: 7G
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30
Time (min)
0
10
20
µS
0
10
20
µS
0
10
20
µS
0
10
20
µS
0
10
20
µS
0
10
20
µS
17.1
3.8 4.1 15.94.9
3.9
17.1
4.9 16.1 22.9
3.9
17.1
4.9 15.9
17.1
4.9 16.1 22.914.2 27.8
NL:
2.50E1
ECD_1 UV
blk_1411202
25409
NL:
2.50E1
ECD_1 UV
pc-2-pp
NL:
2.50E1
ECD_1 UV
ma-0-pp
NL:
2.50E1
ECD_1 UV
ua-1-pp
NL:
2.50E1
ECD_1 UV
xa-2-pp
NL:
2.50E1
ECD_1 UV
VA-3-PP
Solvent Blank
Control Cell shelf aged
Calendar-aged 20% loss in capacity
Cycle aged 20% loss in capacity
Process Control
Cycle aged 45% loss in capacity
The IC chromatograms show the differences between samples
30. 30
HRMS Base Peak Chromatograph
f:li-battary-paul...blk_141120225409 11/20/14 22:54:09
AS11 2mm 250ul/min
RT: 0.0 - 55.0 SM: 5G
0 5 10 15 20 25 30 35 40 45 50 55
Time (min)
0
50
100
0
50
100
0
50
100
0
50
100
0
50
100
0
50
100
5.3 9.88.24.1 16.211.1 15.63.9 27.824.7
17.2
23.04.2 5.3 16.214.27.0 8.23.8 9.8 27.824.1 41.711.1 49.8
17.2
23.014.24.2 5.3 16.23.5 27.88.2 9.8 49.826.77.1 13.9
23.014.25.34.2 16.2 27.73.6 8.1 9.8 49.87.0 26.718.013.9 41.8
NL: 2.60E9
Base Peak m/z= 50.0000-6000.0000
F: FTMS - p ESI Full ms
[50.00-750.00] - m/z=
144.9640-144.9654 MS
blk_141120225409
NL: 2.60E9
Base Peak F: FTMS - p ESI Full ms
[50.00-750.00] MS pc-2-pp
NL: 2.60E9
Base Peak F: FTMS - p ESI Full ms
[50.00-750.00] MS ma-0-pp
NL: 2.60E9
Base Peak F: FTMS - p ESI Full ms
[50.00-750.00] MS ua-1-pp
NL: 2.60E9
Base Peak F: FTMS - p ESI Full ms
[50.00-750.00] MS xa-2-pp
NL: 2.60E9
Base Peak F: FTMS - p ESI Full ms
[50.00-750.00] MS VA-3-PP
Solvent Blank
Control cell shelf aged
Calendar-aged 20% loss in capacity
Cycle aged 20% loss in capacity
Process Control
Cycle aged 45% loss in capacity
See zoomed-in view in next slide (Full Scan Negative mode)
31. 31
F:Li-Battary-PaulNov20-RunVA-3-PP 11/20/14 21:49:03
AS11 2mm 250ul/min
RT: 0.2 - 54.5 SM: 5G
2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54
Time (min)
0
20
40
60
80
100
RelativeAbundance
0
20
40
60
80
100
RelativeAbundance
0
20
40
60
80
100
RelativeAbundance
0
20
40
60
80
100
RelativeAbundance
9.8
8.2
4.1 16.211.1
15.63.9 27.824.713.812.9 18.33.6 26.7
23.0
4.2 5.3 16.2
14.27.0
8.2
4.0 9.83.5 6.2 15.6 27.8
24.1 41.711.1 24.3 49.814.0 18.1 49.228.1
23.014.2
4.2
5.3 16.2
4.0
3.5 27.815.68.2 9.8
49.826.77.1 13.913.2 24.2 49.218.2
14.2
5.34.2
16.2
27.73.6 15.5 27.88.1
9.83.3
49.87.0 26.718.0 24.2 49.213.9 41.813.4 53.318.6
NL:
2.60E8
Base Peak F:
FTMS - p ESI
Full ms
[50.00-750.00]
MS ma-0-pp
NL:
2.60E8
Base Peak F:
FTMS - p ESI
Full ms
[50.00-750.00]
MS ua-1-pp
NL:
2.60E8
Base Peak F:
FTMS - p ESI
Full ms
[50.00-750.00]
MS xa-2-pp
NL:
2.60E8
Base Peak F:
FTMS - p ESI
Full ms
[50.00-750.00]
MS VA-3-PP
Yellow –new or increasing
MS Base Peak Chromatograph
Blue – Decrease or disappearing
Control cell shelf aged
Calendar-aged 20% loss in capacity
Cycle aged 20% loss in capacity
Cycle aged 45% loss in capacity
MS show different profiles and more peaks
Zoomed-in View
33. 33
SIEVE - Trend Intensities and XIC
Trend Intensities
RT =11 min
XIC
RT =11 min
Component m/z 124.9912 at RT 11.0 min with Elemental Formula C2H5O4S,
Ethyl sulfate. The Shelf aged control has high intensity.
34. 34
SIEVE PCA Showing Differences Between Sample Groups
Trend Intensities at RT =11 min m/z 124.9912
PCA plot for all six samples
36. 36
Component Identified from “Control Cell Shelf Aged”
Components
idenPfied
in
Control
Sample
Peak
#
RT
(min)
m/z
Formula
(-‐)
Delta
ppm
Name*
(Based
on
MS
results)**
1
3.9
89.0244
105.0193
119.0350
C3H5O3
C3H5O4
C4H7O4
0.3
-‐0.4
-‐0.3
lactate
2
4.1
75.0087
C2H3O3
-‐0.4
Methyl
carbonate
3
5.3
139.0070
C3H7O4S
0
Propyl
sulfate
4
8.2
123.0121
C3H7O3S
-‐0.1
Propyl
sulfonate
5
9.8
140.9864
C2H5O5S
0.3
2-‐hydroxyethyl
sulfate
6
11.1
124.9914
C2H5O4S
-‐0.3
Ethyl
sulfate
7
15.6
117.0193
C4H5O4
0.2
methyl
malonate
8
15.7
133.0143
C4H5O5
0.2
3-‐carboxy-‐3-‐hydroxypropanoate
9
16.2
103.0037
C3H3O4
0
2-‐carboxyacetate
10
17.2
96.9601
HO4S
-‐0.2
hydrogen
sulfate
11
24.7
218.9639
C3H7O7S2
0.2
2-‐hydroxy-‐3-‐sulfopropane-‐1-‐sulfonate
12
26.7
175.0249
C6H7O6
0.3
13
27.8
117.0193
C4H5O4
0.1
2-‐carboxy-‐propanoate
*
The
compounds
are
proposed
based
on
database
search
using
HRAM
data
.
The
other
possible
structures
are
not
show.
**
The
MS
data
were
acquired
in
ESI
negaPve
ion
mode.
The
ions
reported
there
are
all
HRAM
single
charged
negaPve
ions.
The
names
listed
here
are
corresponding
to
the
single
charge
ionic
species.
***
The
notes
here
apply
to
other
samples
in
this
experiment.
43. 43
Summary
• Ion chromatography coupled with the Orbitrap Q Exactive
mass spectrometer provides a powerful platform for Li-ion
battery anode impurity and degradant analysis.
• The HRAM full scan and ms/ms data with polarity switching
allows for unambiguous ionic species identification and
structure characterization.
• This IC-HR/AM MS-based platform provides comprehensive
results which can be used for QA/QC for Lithium-ion battery
manufacturers and performance evaluations.
44. 44
IC-ICP-MS, 55Mn
• Amount of irreversibly formed Mn species is correlated to aging
Zheng, H.; Sun, Q.; Liu, G.; Song, X.; Battaglia, V.S. Correlation between Dissolution Behavior and Electrochemical Cycling Performance for
LiNi1/3Co1/3Mn1/3O2-Based Cells. J. Power Sources 2012, 207, 134–140.
45. 45
MnxOy
z-
Mn2+
Cycle- or Calendar-Aged
LiB
H+
Mn2+
CathodeAnode
Anion Analysis of Cathode Dissolution
LiNi0.42Mn0.42Co0.16O2
Mechanistic Pathway
-Mn3+
Mn4+
+
Anode* Cathode**
* Mn2+ sol .in electrolyte, migrates to anode
** Mn4+ insol .in electolyte, remains on cathode
Manganese IC-ICP-MS Analysis of Aged Li-ion Batteries
Acid-Catalyzed Dissolution of Mn to Mn3+
and Disproportionation to Mn2+ and Mn4+
49. 49
IC Anion-Exchange Analysis of Aged Li-ion Battery Samples
Summary:
• Neither manganate nor permanganate are stable on the anion
exchange column
• They may be reacting on the column and degradation products
may be eluting in the vicinity of carbonate as well as earlier
• It is possible that carbonate is produced during a reaction on the
column
50. 50
Permanganate Standard
• Positive response to direct infusion HRMS in –ESI mode
• Negative response to IC-HRMS
O
Mn
O
O O
Theoretical Simulation
Experimental Result
116 117 118 119 120 121 122 123
m/z
0
20
40
60
80
100
0
20
40
60
80
100
RelativeAbundance
118.9181
116.9287 120.9221118.9541 119.9219117.9288 118.7880115.9206
118.9183
120.9225119.9225 122.9267121.9267
51. 51
Proposed Mechanism for Anionic Mn Species
• Compound 1 formed by the reaction of permanganate with a
succinic acid adduct, a plausible degradation product
• Compound 1 degrades under acidic conditions
Tetrahedron 65 (2009) 707–739
?
52. 52
Cycle Aged (45% Capacity Loss): IC-HRMS
• Positive response to a Mn containing product
• Proposed Mn species consistent with a retention time of 16-33 min
• pH 10-11 of the aq anode extract
• 2 decimal point m/z accuracy supports proposed species
• 4 decimal point m/z accuracy disputes proposed species
Experimental
m/z
Calculated
m/z
234.98 234.93
Experimental
m/z
Calculated
m/z
234.9779 234.9281
2 Decimal Point Accuracy 4 Decimal Point Accuracy
53. 53
IC-HRMS and Direct Infusion HRMS Analysis of Aged Li-
ion Battery Samples
Conclusions:
• Permanganate Standard
• Detected by direct infusion HRMS in –ESI mode
• Not detected by anion exchange IC-HRMS
• Proposed Mn Oxide complex
• Positive response by IC-HRMS for aged 40% capacity loss sample
• Proposed species was disproved by direct infusion HRMS in –ESI mode with 4
decimal point accuracy
• No anionic Mn containing products observed by IC-HRMS
• Next Steps
• Cation exchange IC with +ESI mode HRMS to validate presence of Mn2+ from
the degradation of permanganate
54. 54
Acknowledgement
• Chris Pohl, Thermo Fisher Scientific, Sunnyvale, CA, USA
• Charanjit Saini, Thermo Fisher Scientific, Sunnyvale CA, USA