Team develops AFM-IR for nanometer scale chemical identification

Mar 08, 2013
This graphic illustrates the atomic force microscope infrared spectroscopy (AFM-IR) of polymer nanostructures. Credit: University of Illinois at Urbana-Champaign

( —For more than 20 years, researchers have been using atomic force microscopy (AFM) to measure and characterize materials at the nanometer scale. However AFM-based measurements of chemistry and chemical properties of materials were generally not possible, until now.

Researchers at the University of Illinois at Urbana-Champaign report that they have measured the chemical properties of polymer nanostructures as small as 15 nm, using a called (AFM-IR). The article, "Atomic force microscope infrared spectroscopy on 15nm scale polymer nanostructures," appears in the 84, published by the American Institute of Physics.

"AFM-IR is a new technique for measuring infrared absorption at the nanometer scale," explained William P. King, an Abel Bliss Professor in the Department of Mechanical Science and Engineering at Illinois. "The first AFM-based measurements could measure the size and shape of nanometer-scale structures. Over the years, researchers improved AFM to measure mechanical properties and electrical properties on the nanometer scale. However have lagged far behind, and closing this gap is a key motivation for our research.

The chemical properties of these polymer nanostructures were measured using atomic force microscope infrared spectroscopy (AFM-IR). Credit: University of Illinois at Urbana-Champaign

"These infrared absorption properties provide information about chemical bonding in a material sample, and these infrared absorption properties can be used to identify the material," King added. "The polymer nanostructures are about an order of magnitude smaller than those measured previously."

The research is enabled by a new way to analyze the nanometer-scale dynamics within the AFM-IR system. The researchers analyzed the AFM-IR dynamics using a wavelet transform, which organizes the AFM-IR signals that vary in both time and in frequency. By separating the time and frequency components, the researchers were able to improve the signal to noise within AFM-IR and to thereby measure significantly smaller samples than previously possible.

The ability to measure the chemical composition of polymer nanostructures is important for a variety of applications, including semiconductors, composite materials, and medical diagnostics.

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