Tutorials

Tutorial 2: How to Choose the Right Temperature Limits for My Sample 

Selecting the correct temperature range is one of the most important steps when setting up a DSC measurement. If the limits are too narrow, important transitions may be missed. If they are too wide, the sample may decompose or contaminate the DSC cell.

This guide explains how to define start and end temperatures that ensure reliable results, especially for unknown recyclates.

1. General Rules for Setting Temperature Limits

✔ Start Temperature

At least 50 °C below the first expected transition (or 5× the heating rate).

Include an IsothermalTests at controlled and constant temperature are called isothermal.isothermal hold of 5 minutes before starting the heating ramp.

For polymers with very low Glass Transition TemperatureThe glass transition is one of the most important properties of amorphous and semi-crystalline materials, e.g., inorganic glasses, amorphous metals, polymers, pharmaceuticals and food ingredients, etc., and describes the temperature region where the mechanical properties of the materials change from hard and brittle to more soft, deformable or rubbery.glass transition temperatures (e.g. EVA, LDPE), cooling may need to go well below 0 °C.

✔ End Temperature

At least 30 °C above the last expected transition.

Avoid Decomposition reactionA decomposition reaction is a thermally induced reaction of a chemical compound forming solid and/or gaseous products. decomposition. Stop before visible degradation such as smoke, residue, or unusual baseline drift.

💡 Tip: If the composition is unknown (typical for recyclates), use TGA to check Thermal StabilityA material is thermally stable if it does not decompose under the influence of temperature. One way to determine the thermal stability of a substance is to use a TGA (thermogravimetric analyzer). thermal stability. If no TGA is available, start with a wider range and refine it in later measurements.

According to ISO 11357-2:2020, the start temperature should be at least 50 °C (or 5× heating rate) below the first transition, and the end temperature about 30 °C (or 5× heating rate) above the last transition.

2. Special Considerations for Recyclates

Unknown blends may require a wide start temperature (e.g. –40 °C) and an end temperature above the highest polymer expected in the mix.

The risk of Decomposition reactionA decomposition reaction is a thermally induced reaction of a chemical compound forming solid and/or gaseous products. decomposition is especially relevant for PVC, PVDC, or contaminated samples. In such cases, stop early (e.g. around 120 °C) if the goal is to observe the Glass Transition TemperatureThe glass transition is one of the most important properties of amorphous and semi-crystalline materials, e.g., inorganic glasses, amorphous metals, polymers, pharmaceuticals and food ingredients, etc., and describes the temperature region where the mechanical properties of the materials change from hard and brittle to more soft, deformable or rubbery.glass transition without degradation.

Ensure the end temperature is not so high that the furnace becomes contaminated, particularly when working with unknown recyclates.

Running far above Decomposition reactionA decomposition reaction is a thermally induced reaction of a chemical compound forming solid and/or gaseous products. decomposition can cause sensor contamination and baseline drift and may require cleaning and recalibration. Always balance information gained against instrument protection.

3. Examples of Good vs. Poor Temperature Limits

✔ Good Example: PET recyclate

Start: 0 °C
End: 290 °C

Result: clear Tg (~70 °C), cold CrystallizationCrystallization is the physical process of hardening during the formation and growth of crystals. During this process, heat of crystallization is released.crystallization, and melting peak (~250–260 °C).

❌ Poor Example 1: End temperature too low

PET heated only to 240 °C. The melting peak is cut off and Quantify cannot analyze the data properly.

❌ Poor Example 2: End temperature too high

PET heated to 350 °C. Decomposition reactionA decomposition reaction is a thermally induced reaction of a chemical compound forming solid and/or gaseous products. Decomposition begins, baseline drift occurs, and residue contaminates the crucible.

Tutorial 4: Special Considerations for Recyclates 

Recyclates are rarely as clean and well-defined as virgin polymers. They may contain blends, inorganic fillers, impurities, or polymers not yet covered by the Quantify training datasets. These factors can complicate DSC measurements and the interpretation of results.

This tutorial explains the key limitations, risk factors, and how to interpret Quantify results correctly when working with recyclates.

1. Blends and Unsupported Polymers

Recyclates often contain mixtures of several polymers, such as PE/PP blends or multilayer materials.

Quantify is trained on a defined set of virgin polymers and selected blends. Polymer types outside this dataset cannot be recognized or quantified.

If such mixtures are suspected, the DSC measurement should still be performed. Quantify will analyze all supported components and flag unaccounted peaks for further investigation using Proteus^® Identify.

Expert Info: The hardest cases – HDPE and LLDPE

Quantify can detect contaminations down to approximately 1% in many systems. However, when polymers are structurally very similar, separation becomes extremely difficult.

Example: 1% LLDPE in HDPE

Both materials are linear polyethylenes with very similar CrystallizationCrystallization is the physical process of hardening during the formation and growth of crystals. During this process, heat of crystallization is released.crystallization behavior. They co-crystallize into a common crystalline phase rather than forming separate melting domains.

As a result, the DSC curve shows a single melting peak instead of two. The minor component has no distinct thermal fingerprint and cannot be separated reliably.

Takeaway: Very similar polymers may remain indistinguishable in DSC, even with Quantify. In such cases, complementary techniques (e.g. FTIR or HPLC) are recommended.

Expert Info: High variability – PP-H and PP-C

Compared to polypropylene homopolymers (PP-H), polypropylene copolymers (PP-C) exhibit broader and more complex thermal behavior. Comonomers disrupt Crystallinity / Degree of CrystallinityCrystallinity refers to the degree of structural order of a solid. In a crystal, the arrangement of atoms or molecules is consistent and repetitive. Many materials such as glass ceramics and some polymers can be prepared in such a way as to produce a mixture of crystalline and amorphous regions.crystallinity, shift melting and CrystallizationCrystallization is the physical process of hardening during the formation and growth of crystals. During this process, heat of crystallization is released.crystallization peaks, and often produce less distinct transitions.

In addition, PP-C grades vary widely (random, block, impact, blends), leading to highly variable thermograms that are harder to represent in a single predictive model.

Takeaway: Quantify can provide meaningful insights into PP-C, but precise predictions require larger and more representative training datasets than for PP-H. Accuracy will continue to improve as additional PP-C data is incorporated.

2. Samples with Fillers

Inorganic fillers such as CaCO₃, talc, or glass fibers do not produce a DSC fingerprint. Their presence reduces the polymer fraction in the sample and can distort Quantify results.

To obtain meaningful output, determine the filler content separately and subtract it from the sample weight before analysis.

Typical methods:

• TGA (thermogravimetric analysis)
• Muffle furnace ash test

Expert Info: Model limitation

Quantify does not yet integrate fillers into its predictions. Correcting the polymer mass is therefore essential. Full filler support is part of the product roadmap.

3. Impurities and Degradation

Recyclates may contain additives, stabilizers, or degradation products. These can cause extra peaks, broader transitions, or noisy baselines.

Always evaluate the second heating curve carefully.

Expert Info: Degradation mechanisms

Degradation can influence melting behavior in different ways:

• Chain scission (thermal or oxidative):
  → lower molecular weight → lower Melting Temperatures and EnthalpiesThe enthalpy of fusion of a substance, also known as latent heat, is a measure of the energy input, typically heat, which is necessary to convert a substance from solid to liquid state. The melting point of a substance is the temperature at which it changes state from solid (crystalline) to liquid (isotropic melt).melting temperature and enthalpy
• Polycondensation or radical post-condensation (e.g. PET, PA):
  → higher molecular weight → higher Melting Temperatures and EnthalpiesThe enthalpy of fusion of a substance, also known as latent heat, is a measure of the energy input, typically heat, which is necessary to convert a substance from solid to liquid state. The melting point of a substance is the temperature at which it changes state from solid (crystalline) to liquid (isotropic melt).melting temperature and sometimes higher enthalpy

In practice, reprocessing studies show that these effects are often smaller than the natural variability between polymer grades. Quantify’s training data accounts for this variation, so moderate degradation usually remains within model tolerance.

💡 Tip: If strong degradation occurs, reduce the end temperature (see Tutorial: How to Choose the Right Temperature Limits for My Sample) to protect the crucible and furnace.

4. Practical Workflow for Recyclates

When working with recyclates, the standard Quantify workflow applies, with additional attention to the following points:

• Sample homogeneity (pellets vs flakes)
• Presence of fillers
• Curve quality of the second heating
• Unexplained peaks or anomalies

Unsupported components or suspicious features should be analyzed further using Proteus^® Identify.

(Measurement execution and upload steps are described in Tutorial: How to Run a DSC Measurement for Quantify Analysis.)

5. Unsupported Polymers

If the DSC curve contains transitions from a polymer not included in the Quantify dataset, the quantification result will be compromised and inaccurate.

Proteus^® Identify can be used to determine which unsupported polymers are present. Quantification will only be possible once that polymer type is included in a future Quantify update.

Expert Info: Proteus^® Identify

Proteus^® Identify compares thermal transitions against a reference library. It is the recommended tool for:

• identifying unsupported polymers, and
• building internal reference databases to detect anomalies and deviations.

⚠️ Risk Check: When Working with Recyclates

• Is the sample homogeneous (pellets) or variable (flakes)?
• Were fillers identified and corrected for?
• Was the standard Quantify method applied?
• Is the second heating curve clean and interpretable?
• Are degradation effects visible?
• Are unsupported polymers present and flagged for follow-up in Proteus^® Identify?