High Heating Rate DSC

Similar documents
Purity Determination and DSC Tzero Technology

Physical Aging and Fragility of Amorphous Sucrose by DSC

Physical Aging and Fragility of Amorphous Polyethylene Terephthalate

Impact of Tzero Technology on DSC Resolution

Impact of Tzero Technology on the Measurement of Weak Transitions

TA INSTRUMENTS DIFFERENTIAL SCANNING CALORIMETERS

Thermal Analysis. Dr. Lidia Tajber School of Pharmacy and Pharmaceutical Sciences, Trinity College Dublin

New Castle, DE USA. Lindon, UT USA. Hüllhorst, Germany. Shanghai, China. Beijing, China. Tokyo, Japan. Seoul, South Korea.

G16 - THERMAL ANALYSIS

i Series Thermal Analysis Systems

Differential Scanning Calorimetry DSC 200 F3

TA INSTRUMENTS. Thermal Analysis

Interpretation of the Crystallization Peak of Supercooled Liquids Using Tzero DSC

DSC limit of detection: < 0.1 µw (depending upon the sensor) System time constant: 0.6 s to 3 s (depending upon the sensor)

THERMAL ENERGY STORAGE SYSTEMS STEARIC / LAURIC ACID MIXTURES AS PHASE CHANGE MATERIALS

OPEN YOUR EYES TO A WORLD OF OPPORTUNITY IN THERMAL ANALYSIS. DSC 4000/6000/8000/8500 Comprehensive Solutions for Differential Scanning Calorimetry

A chemical change indicates the onset of oxidation or degradation of the material. 2,3 There are

SEMATECH Provisional Test Method for Evaluating Bulk Polymer Samples of UPW Distribution System Components (DSC and TGA Methods)

The Q5000 Automatic Sample Processor

Characterization of Pharmaceutical Materials by Thermal Analysis

DSC Step Annealing for Fingerprinting Molecular Structure in Poly(vinylidene fluoride)

MICRO THERMAL ANALYSIS CALIBRATION, REPEATABILITY AND REPRODUCIBILITY

Analyzing & Testing. Differential Scanning Calorimetry. Method, Technique, Applications DSC 204 F1. Leading Thermal Analysis

New Castle, DE USA Lindon, UT USA Pittsburgh, PA USA Elstree, United Kingdom Shanghai, China Beijing, China Taipei, Taiwan Tokyo, Japan Seoul, Korea

DSC - Differential Scanning Calorimetry. Investigation of the Thermal Properties of Polymers

APPLICATIONS OF HIGH SENSITIVITY DSC

Thermal cover:layout 1 1/18/11 3:56 PM Page 2 TA Instruments

A Beginner s Guide to Differential Scanning Calorimetry (DSC)

Thermal Analysis Investigation of a Poly(Lactic Acid) Biodegradable Plastic

Methodology for DSC calibration in high heating rates

Part 1: General principles

HYDROGEN CONCENTRATION DETERMINATION IN PRESSURE TUBE SAMPLES USING DIFFERENTIAL SCANNING CALORIMETRY (DSC)

TA INSTRUMENTS. Thermal Analysis

Amorphous Content of Common Pharmaceutical Materials

Thermal Analysis Excellence

THE EFFECT OF CRYSTALLINE MORPHOLOGY ON THE GLASS TRANSITION AND ENTHALPIC RELAXATION IN POLY (ETHER-ETHER-KETONE)

A comparison of a novel single-pan calorimeter with a conventional heat-flux differential scanning calorimeter

Can the Thermodynamic Melting Temperature of Sucrose, Glucose, and Fructose Be Measured Using Rapid-Scanning Differential Scanning Calorimetry (DSC)?

Standard Test Method for Oxidative-Induction Time of Polyolefins by Differential Scanning Calorimetry 1

Differential Scanning Calorimeter. DSC-60 Plus Series C160-E013A

Instructions for using the PerkinElmer DSC-8500

A Short Reviews of Thermal Techniques

Flash-DSC, a new technique for thermal analysis

DIFFERENTIAL SCANNING CALORIMETER. Chip-DSC 100 Chip-DSC 10

DIFFERENTIAL SCANNING CALORIMETER. Chip-DSC 100 Chip-DSC 10

DIFFERENTIAL SCANNING CALORIMETER. Chip-DSC 100 Chip-DSC 10

Crystallization kinetics of PHB and its blends 3.1 Introduction

TA INSTRUMENTS THERMOGRAVIMETRIC ANALYZERS

CHAPTER 9 PCABS, PP and PPS Composites Characterization - Results and Discussion: Part II Thermal Analysis: Thermal Conductivity, Thermogravimetric

Thermal Analysis Methods for Composites

User Manual. Version 1.0 THERMISTOR CHARACTERISTICS TRAINER. Model No : (ITB - 06ACE)

Standard Test Method for Transition Temperatures of Polymers By Differential Scanning Calorimetry 1

Thermal Analysis Application

Collected Applications Thermal Analysis ELASTOMERS. Volume C

ISO INTERNATIONAL STANDARD

Publication III Elsevier Science. Reprinted with permission from Elsevier.

Thermoset Curing Schedule and its Affect on the Final Properties

Thermal Analysis Premium DSC 3+ STAR e System Innovative Technology Versatile Modularity Swiss Quality

Analyzing & Testing. Thermogravimetric Analysis TGA. Method, Technique, Applications

A. KISHI AND H. TORAYA

Transition Temperature Microscopy Nano-scale Thermal Analysis Technique

Characterization of Polymorphic Transitions in a Pharmaceutical by DSC and MDCS

A vapor (or gas) needs a completely enclosed container to have a definite volume; it will readily take on any shape imposed.

Plastics Differential scanning calorimetry (DSC) Part 2: Determination of glass transition temperature and glass transition step height

Chapter 5. Differential Scanning Calorimetry

Nanoconfinement Crystallization of Frustrated Alkyl Groups: Crossover of Mesophase to Crystalline Structure

Elemental Analysis (EA)

Quantitation of amorphous content

Nonisothermal Phase Transformation of the Glassy Composition TeSe 20

Copyright JCPDS - International Centre for Diffraction Data 2004, Advances in X-ray Analysis, Volume

Introduction to TG/DTA/DSC. Thermal Processing Technology Center Illinois Institute of Technology

SOLVING ADHESION AND DIE BUILDUP PROBLEMS IN EXTRUSION COATING

Journal of Applied Research and Technology ISSN: Centro de Ciencias Aplicadas y Desarrollo Tecnológico.

THE INFLUENCE OF THE HEATING AND COOLING RATES ON THE TEMPERATURE OF THE PHASE TRANSITIONS

Nova Geração de Instrumentos de Análise Térmica

The Use of Thermal Analysis in the Development and Characterisation of Materials for Energy Storage -Thermochemical Energy storage

The Flash DSC 1 A Novel Rapid Scanning Calorimeter

Differential Scanning Calorimetry DSC 404 F3

Thermal Analysis Excellence

Differential Scanning Calorimetry DSC 404 F1

TA Instruments THERMOPHYSICAL PROPERTIES

Study on crystallization behaviour of co-polyamide 66 containing triaryl phosphine oxide

DIFFERENTIAL SCANNING CALORIMETER DSC PT 1000

TGA Thermogravimetric. Analyzer

Akira Kishi* Technical articles. The Rigaku Journal, 27(1), External view of the PILATUS 100K/R. Fig. 1.

Thermal properties of components of lightweight wood-framed assemblies at elevated temperatures. Bénichou, N. ; Sultan, M. A.

The Science and Engineering of Materials, 4 th ed Donald R. Askeland Pradeep P. Phulé. Chapter 3 Atomic and Ionic Arrangements

Introduction. From the combination of TG and DTA or HDSC one receives a broad range of information, such as:

Material Data for Moldex3D Simulation. Jeff Chen Account Manager EMEA

Realization of ITS-90 from K through K: One Company s Approach

Detection and Quantification of Amorphous Content in Pharmaceutical Materials

CRYSTALLIZATION AND DYNAMIC MECHANICAL BEHAVIOUR OF NR-EVA BLENDS.

Available online at Scholars Research Library

STUDY OF POLYMORPHIC TRANSFORMATION OF ORNIDAZOLE DRUG BY DIFFERENTIAL SCANNING CALORIMETRY AND OTHER COMPLEMENTARY TECHNIQUES

THE EFFECT OF BIAXIAL ORIENTATION PROCESSING CONDITIONS ON IMMISCIBLE POLYMER BLENDED SHEET

Collected Applications Thermal Analysis PHARMACEUTICALS C

STUDY OF CRYSTALLIZATION OF POLYLACTIC ACID COMPOSITES AND NANOCOMPOSITES WITH NATURAL FIBRES BY DSC METHOD

Thermogravimetric Analyzer

NanoTA2 Sub-100nm Local Thermal Imaging and Analysis

nano-ta TM : Nano Thermal Analysis

Transcription:

High Heating Rate DSC R. Bruce Cassel TA Instruments, 19 Lukens Drive, New Castle DE 1972, USA ABSTRACT The use of fast DSC heating rates has been reported in several laboratories. TA Instruments Q Series TM DSC with Advanced Tzero Technology offers advantages for such experiments. Indium is analyzed to assess calorimetric performance, and polylactide is used to demonstrate the utility of fast rates to suppress crystallization. Tzero Technology eliminates most thermal lag related errors, and permits fast heating rates to be used as a practical technique. INTRODUCTION From the early days of thermal analysis, the accepted standard heating rate has been 1 ºC/min. Faster high heating rates increase the sensitivity and productivity, but do so at the expense of temperature resolution and accuracy. Also, high heating rates suppress kinetically hindered processes, such as crystallization, so that the thermodynamic properties of unstable materials may be investigated. Recently Mathot and co-workers have reported on a number of high heating rate polymer applications (1). In another example, gathering data to construct phase diagrams for polymorphic forms of a pharmaceutical compound is benefited by the use of fast heating rates to determine the transition temperatures of metastable forms. One challenge with the use of high heating rates is that while the furnace may achieve a rapid rate, there is a finite time delay before the sample achieves the same rate. Even after that program rate is achieved, the temperature of the sample, the sample container, and parts of the DSC lag behind the furnace control temperature. The amount of thermal lag (T-lag) the sample experiences is described by Newton s Law of Cooling: T-lag = R dq/dt = R (Cp m + Cp (pan) m(pan)) dt/dt (1) Where: R is the thermal resistance between the sample and sensor dq/dt is the heat flow to the sample Cp is the specific heat capacity m is the mass, and dt/dt is the heating rate experienced by the sample and pan. The thermal lag is proportional to heating rate, sample and pan mass, sample and pan specific heat capacity and the thermal resistance between the sensor and the sample. 1 TA 297

All other conditions being equal, the use of 1 ºC/min heating rate produces a thermal lag 1 times greater than at 1 ºC/min. Of course, for a given set of conditions, calibration using a melting point standard may allow the sample temperature to be known even at a fast rate. However, there is uncertainty in the temperature measurement due to uncertainty in contact resistance (R ) and in the heating rate experienced by the sample. Also, calibration at a particular heating rate does not always ensure temperature calibration at other heating rates even when a scanning rate dependency calibration has been established using an ideal material such as with indium. Another problem is that different heating rates experienced by the sample and reference positions during transitions broaden and distort the DSC peak. These problems are greatly amplified by fast heating rates. EXPERIMENTAL The Q1 DSC with its Advanced Tzero Technology provides a solution to these problems. Figure 1 is a schematic diagram of the Tzero DSC cell showing the positions of the sample and reference platforms and the Tzero sensor (2). It utilizes a new measurement principle employing an additional element on the DSC sensor that provides compensation for intrinsic instrument distortion of the DSC signal (3). The heat flow to the sample specimen is determined using the multiple term relationship given by Equation 2: T 1 1 dts d T q& = + T + ( Cr Cs ) Cr R r Rs R (2) r dt dt where q = differential heat flow T = temperature difference between sample and reference T o = temperature difference between sample and sensor base R s = sample sensor thermal resistance R r = reference sensor thermal resistance C s = sample sensor thermal capacitance C r = reference sensor thermal capacitance dt s /dt = sample temperature rate of change, and d T/dt = differential change in temperature. The first term is the differential temperature signal used in traditional DSC instruments, the second and third terms are compensation for asymmetry in the resistance and thermal capacitance elements of the DSC cell, and the fourth term treats the differences in heating rate between the sample and reference sensors. Equation 2 is a more general form of the heat flow equation used by other DSCs. It is derived from a model of the DSC cell that takes into account asymmetry in the cell construction, including asymmetry in the heat distribution in the cell caused by thermal effects from the presence of the sample on one side of the cell. A more complete instrumental calibration is performed to solve for the R and C cell parameters. The additional T thermocouple is key to being able to perform this calibration and to compensate for asymmetry (3). Using this more complete derivation causes peak shapes to be less distorted from thermal lag, and temperature output is properly corrected for all 2 TA 297

temperature gradients. No place is this more important than when using fast heating rates that produce large temperature gradients. To illustrate these benefits, three samples are run for this evaluation; a.42 mg sample of indium metal calibration standard, a.31 mg sample of low density polyethylene (PE) sample and a milligram sample of polylactide (PL), a commonly used pharmaceutical excipient. The samples are placed in the bottom parts of standard aluminum DSC pans. To further reduce thermal lag, the pan mass was reduced by substituting a foil disk punched from aluminum wrap for the standard lid. After crimping, the pans are further flattened to improve thermal contact. Prior to each heating scan, the PE sample was cooled from above the melt to below 8 ºC using a nominal cooling rate of 2 ºC/min using the RCS mechanical refrigerator. This ensures that the sample is cooled at a known, constant cooling rate over the fusion temperature region. RESULTS AND DISCUSSION To obtain useful data, the DSC must quickly stabilize at the rapid heating rate. The Q Series DSC achieves substantially improved temperature control and equilibration from a redesign of its furnace/cooling system (3). Figure 2 shows the derivative of the sample temperature for fast heating rate analyses of indium. With Advanced Tzero Technology this heating rate is that of the sample pan and hence, the sample, for a small, well-coupled sample specimen, (not merely the heating rate of a control sensor, as is commonly displayed in some DSCs.) For precise temperature measurement, the temperature sensor must be as close to the sample as is physically possible without actually being in the sample (a necessary condition for heat flow measurements) (4). The temperature of the sample pan provided by Advanced Tzero Technology satisfies this condition. Figure 2 shows that heating rate equilibrium is achieved in about 3 seconds after starting the scan even without the use of exotic purge gasses or non-standard sample pans. Useful heat flow data may be obtained only after the transient heat flow effects of switching from isothermal control to constant scanning control are dissipated. A steady state, straight, baseline needs to be achieved prior to the onset of the transition. A steady baseline indicates that the temperature gradients in the DSC cell have reached a steady state. But asymmetry in the cell manufacture delays the time required to reach a steady state. Because Tzero technology compensates for the cell asymmetry, the Q series DSCs quickly reach a straight baseline without subtracting empty-pan baseline data. Figure 3 contrasts the pre-melting baseline obtained from the Tzero-compensated circuit of the Q1 TM DSC (T4P) with that obtained from the T circuit from the traditional DSC (T1). At a 1 ºC/min heating rate the temperature of the sample specimen and pan lags behind the temperature of the sensor surface up to 1 Celsius degrees, due to the thermal resistance between the pan and sensor. While temperature calibration may correct this potential error for a given set of conditions, this correction is only exact for the same pan type, weight of sample and scanning rate used for calibration. At rapid heating rates the uncertainty in the temperature of the sample specimen can easily reach several Celsius degrees. Advanced Tzero Technology explicitly compensates for the temperature gradients in the DSC cell induced by the sample and pan heat capacity. Figures 3, 4 and 5 (the same data at different levels of scale expansion) show that the extrapolated onset of indium is independent of the heating rate (5). 3 TA 297

The phase rule holds that when a pure sample undergoes a first order transition, the temperature of the sample remains constant. At scanning rates of 1 ºC/min or more, temperature gradients between the sample and DSC cell reach tens of Celsius degrees. This, in turn, creates temperature gradients within the DSC cell since only one side of the DSC is thermally restrained. These temperature gradients change the heating rate on one side of the DSC cell (Figure 2) distorting the peak shape, smearing it over a wider temperature range and diminishing the peak sharpness. The dashed lines of Figures 3 and 4 show the shape of the DSC peak using the T1 signal, the conventional T signal used in DSC. Without correction to the data, analysis of this T1 signal leads to errors in the assessment of the sample characteristics. Again, Advanced Tzero Technology compensates for this effect is shown in Figure 4 and 5 in the indium T4P data. ( T4P means pan considered four term heat flow equation data.) The data in Figure 5 indicates that the accuracy possible with fast rate DSC analysis using the Q Series is as good as a ±.2 C and a few percent in the energy of melting in going from 5 to 15 C/min. Moreover, the integrity of the peak shape is clear, while the peak shape for the conventional DSC output is clearly distorted. One of the applications for fast scan DSC is the rapid characterization of small quantities of polymer blends and copolymers produced by shotgun synthesis techniques, such as combinatorial analysis. To evaluate this rapid characterization technique, a sample of low-density polyethylene (PE), displaying both broad and sharp melting regions, was analyzed at rapid heating rates after imposing a controlled thermal history. Figure 6 shows the analysis of the peak maximum, onset and energy are independent of scan rate. This indicates that the Tzero signal is properly compensating for the thermal lag permitting the operator to choose which heating rate to use for the analysis. For easy comparison of data obtained at different heating rates, it is convenient to display results in heat capacity units. This is possible due to the DSC cell balancing effect of the Tzero capability and is shown in Figure 7. One of the unique characteristics of the Q1 with Advanced Tzero Technology is that the displacement from zero is proportional to the scanning rate. Thus, by dividing by the scanning rate (and sample weight), the sample specific heat capacity is directly obtained. The Q1 offers the specific heat capacity as one of the choices of output signal, and any data from a weighed sample can be displayed in specific heat capacity units, without subtracting empty pan baseline data. Figure 8 shows the PE data taken at 5, 75 1 and 15 ºC/min in heat capacity units. It is clear that the temperature distribution of melting is the same at these rates, and that temperature dependent crystallinity could equally well be obtained from any of these curves. This also indicates that there is very little crystallization occurring on heating at any of these rates. One potential use of the fast rate DSC is in characterizing systems in metastable states. For example, when an unstable amorphous material is heated at normal DSC rates crystallization begins above the glass transition and is followed by the crystalline melt. Amorphous polyethylene terephthalate (PET), such as used in PET bottle performs, is a familiar example. When such an amorphous material is heated at rates above 1ºC/min there is little or no crystallization that occurs before the temperature of the specimen is above the normal melting range. By suppressing crystallization, low levels of crystallinity can be more accurately measured, and the DSC analysis gives a more accurate characterization To demonstrate this capability a sample of polylactide was repeatedly put into an amorphous state, and then run at a series of heating rates. From Figure 8 it can be seen that at 1ºC/min the polylactide crystallizes, and then melts; whereas at 1 or 15ºC/min 4 TA 297

there is no apparent crystallization and very little melting. This behavior can also be observed with PET. However, other materials crystallize so rapidly above Tg that these rates, and higher, are still insufficient to suppress crystallization. In this analysis the polylactide specimen was put into an amorphous state by ballistic cooling in the DSC using a refrigerated cooling system (RCS) to cool the DSC cell. For other materials it is necessary to quench cool more vigorously by manually removing the sample from the DSC cell above the melt and placing it on a room temperature surface. Alternatively, this quenching step may be carried out automatically by using the Q Series autosampler to remove the encapsulated sample at a temperature above the melt and place it in the room temperature autosampler. It can then re-load the sample into the DSC cell at a temperature below Tg where it can be cooled to the subambient and analyzed at a rapid scan rate. This is similar to the manually manipulated procedure illustrated by the data above. Another cooling option for placing the samples in a metastable state is that of using a constant programmed cooling rate to give a more specified thermal history. For this application a cooling rate of 1 C/min is achievable over the necessary temperature range with the liquid nitrogen cooling accessory. Some experimentalists suggest that data is improved by the use of neon-helium mixture purge gas, foil encapsulation and thermally conductive grease to improve the coupling of the sample pan to the DSC (1). These procedures may indeed help, but they each have drawbacks and it is clear that they are not necessary when using Advanced Tzero Technology. Moreover the procedures used in this work are compatible with an autosampler recommended for high throughput operation. The data shows that rates up to 15 C/min can be used. However, experience shows that unless there is a real need for this fast rate, heating rates of 1 C/min or less are adequate. Rates faster than 1 ºC/min increase the likelihood of errors related to encapsulation, such as sample swelling which may change the value of R in Equation 1 thus leading to baseline artifacts. One additional feature of the TA Advantage instrumentation control is the availability of user-selected heater control PID values to optimize the heater control for each type of method segment. This feature is used here to optimize performance for the high heating rates. Because of the demanding conditions required by fast rate DSC, the default PID values were replaced by user-selected values that optimized scanning equilibration (6). This is achieved experimentally with a simple addition to the DSC method that specifies the desired PID values shown in Figure 9 (3). SUMMARY High heating rates, rapid temperature equilibrium, invariant temperature calibration with changing heating rate are proven to be practical with the use of Advanced Tzero Technology Advanced Tzero Technology provides automatic compensation for thermal lag effects that are a major source of error in fast rate DSC. The use of the Q1 with Tzero Technology, together with careful standard encapsulation, is shown to allow exceptional data to be obtained at heating rates of up to 15 ºC/min--without the need to use operatorintensive, foil-and-grease techniques. REFERENCES 5 TA 297

1. T. F. J. Pijpers, V. B. F. Mathot, B. Goderis, E. van der Vegt, High Performance DSC High Scanning Rate DSC: Application to Polymers, Proceedings of the 28 th Conference of the North American Thermal Analysis Society, 2, pp. 32-37. 2. L. Waguespack and R. Blaine, Design of a New DSC Cell with Tzero Technology, proceedings of the 29 th Conference of the North American Thermal Analysis Society, 21, pp. 722-727. 3. R. L. Danley and P. A. Caulfield, DSC Baseline Improvements Obtained by a Heat Flow Measurement Technique, Proceedings of the 29 th Conference of the North American Thermal Analysis Society, 21, pp. 667-672. 4. S. L. Boersma, Journal of the American Ceramic Society, 1955, p 281. 5. TA283, How Tzero Technology Improves DSC Performance: Reducing Thermal Lag TA Instruments, New Castle DE. 6. TN 47, Using the Heater PID Method Segment, TA Instruments, New Castle, DE. KEYWORDS differential scanning calorimetry, metals, polyolefins, thermoplastic polymers 6 TA 297

Silver Base for Cell Lid #1 Measuring Chamber Silver Base for Cell Lid #2 Chambers for Temperature Conditioning of Purge Gas Tzero Sensor Furnace 54 Nickel Cooling Rods Cooling Flange Figure 1 Q Series DSC Cell 175 1 15 3 seconds 15ºC/min 125 [ ] Deriv. Temperature ( C/min) 1 75 5 3 seconds 1ºC/min -1-2 -3 25-4 -8-6 -4-2 2 4 6 8 1 12 14 16 18 Exo Up Figure 2 - Indium Melting at 5, 75, 1 and 15 ºC/min. Broken lines are heating rate at the sample 7 TA 297

2 T1 Signal 2 1 1 Heat Flow T1 (W/g) T4P Signal Heat Flow T4P (W/g) -1-1 -2-2 Exo Up -8-6 -4-2 2 4 6 8 1 12 14 16 18 2 22 Figure 3 - Melting Indium at 5, 75, 1 and 15 ºC/min with (T4P) and Without (T1) Advanced Tzero Capability. 3 3 2 2 Heat Flow T4P (W/g) 1-1 -2-3 1-1 -2-3 [ ] Heat Flow T1 (W/g) -4-4 -5-5 14 145 15 155 16 165 17 175 Exo Up Figure 4. Melting indium at 5, 75, 1 and 15ºC/min showing the output of the Advanced Tzero signals and the conventional T signals (broken lines) at an expanded scale 8 TA 297

1 Heat Flow T4P (W/g) -1-2 -3 5ºC/min 156.83 C -28.78J/g 157.3 C 75ºC/min 1ºC/min15ºC/min 156.88 C -28.46J/g 156.91 C -28.17J/g 156.9 C -27.63J/g 157.65 C 157.95 C 158.59 C -4-5 154 155 156 157 158 159 16 161 162 163 164 165 166 Exo Up Figure 5 - Melting Indium at 5, 75, 1 and 15 ºC/min showing onset, energy and peak max calculations 5-5 Heat Flow T4P (W/g) -1-15 -2 5ºC/min 117.59 C 121.44 C -154.8J/g 75ºC/min 117.46 C 121.6 C -148.4J/g 1ºC/min117.17 C 121.2 C -148.9J/g 15ºC/min116.51 C 121.55 C -146.4J/g -25-3 Exo Up -8-6 -4-2 2 4 6 8 1 12 14 16 Figure 6 - T4P Heat Flow data for PE at heating rates from 5 to 15 ºC/min showing onset, energy and peak max calculations 9 TA 297

15 1 Heat Capacity (J/g/ C) 5-5 -6-4 -2 2 4 6 8 1 12 14 Figure 7. Melting of LDPE at 5, 75, 1 and 15ºC/min. Data is displayed in Cp units 8 6 Heat Capacity (J/g/ C) 4 2 1ºC/min after 5ºC/min cooldown 5ºC/min 1ºC/min 15ºC/min 1ºC/min -2 1 3 5 7 9 11 13 15 17 19 Figure 8 - DSC of Rapidly Cooled Polylactide at Several Heating Rates. (Data are in Cp units, but curves are offset for visual clarity.) 1 TA 297

Figure 9. Universal Analysis Method Editor with PID step highlighted. On the left are the method steps, on the right is a menu of available method step choices. 11 TA 297