Issue 16, 2022

Nanoscale chemical characterization of a post-consumer recycled polyolefin blend using tapping mode AFM-IR

Abstract

The routine analysis of polymer blends at the nanoscale is usually carried out using electron microscopy techniques such as scanning electron microscopy (SEM) and transmission electron microscopy (TEM), which often require several sample preparation steps including staining with heavy metals and/or etching. Atomic force microscopy (AFM) is also commonly used, but provides no direct chemical information about the samples analyzed. AFM-IR, a recent technique which combines the AFM's nanoscale resolution with the chemical information provided by IR spectroscopy, is a valuable complement to the already established techniques. Resonance enhanced AFM-IR (contact mode) is the most commonly used measurement mode, due to its signal enhancement and relative ease of use. However, it has severe drawbacks when used in highly heterogenous samples with changing mechanical properties, such as polymer recyclates. In this work, we use the recently developed tapping mode AFM-IR to chemically image the distribution of rubber in a real-world commercially available polyethylene/polypropylene (PE/PP) recycled blend derived from municipal and household waste. Furthermore, the outstanding IR resolution of AFM-IR allowed for the detection of small PP droplets inside the PE phase. The presence of micro and nanoscale particles of other polymers in the blend was also established, and the polymers identified.

Graphical abstract: Nanoscale chemical characterization of a post-consumer recycled polyolefin blend using tapping mode AFM-IR

Supplementary files

Article information

Article type
Paper
Submitted
16 May 2022
Accepted
11 Jul 2022
First published
12 Jul 2022
This article is Open Access
Creative Commons BY license

Analyst, 2022,147, 3741-3747

Nanoscale chemical characterization of a post-consumer recycled polyolefin blend using tapping mode AFM-IR

A. C. V. D. dos Santos, D. Tranchida, B. Lendl and G. Ramer, Analyst, 2022, 147, 3741 DOI: 10.1039/D2AN00823H

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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