# A Study on the Characterization of Asphalt Plant Reclaimed Powder Using Fourier Transform Infrared Spectroscopy

**Authors:** Hao Wu, Daoan Yu, Wentao Wang, Chuanqi Yan, Rui Xiao, Rong Chen, Peng Zhang, Hengji Zhang

PMC · DOI: 10.3390/ma18153660 · Materials · 2025-08-04

## TL;DR

This study introduces a fast and accurate method using infrared spectroscopy to evaluate the properties of reclaimed asphalt powder for recycling in road construction.

## Contribution

A novel FTIR-based method is proposed to efficiently assess acidity/alkalinity and cleanliness of reclaimed asphalt powder.

## Key findings

- Reclaimed powder contains crushed stone particles, dust, and clay, with variable chemical compositions.
- FTIR-derived functional group indices strongly correlate with traditional acidity/alkalinity and cleanliness metrics.
- The proposed Is index improves detection efficiency and supports high-value recycling in road engineering.

## Abstract

Asphalt plant reclaimed powder is a common solid waste in road engineering. Reusing reclaimed powder as filler holds significant importance for environmental protection and resource conservation. The key factors affecting the feasibility of reclaimed powder reuse are its acidity/alkalinity and cleanliness. Traditional evaluation methods, such as the methylene blue test and plasticity index, can assess reclaimed powder properties to guide its recycling. However, these methods suffer from inefficiency, strong empirical dependence, and high variability. To address these limitations, this study proposes a rapid and precise evaluation method for reclaimed powder properties based on Fourier transform infrared spectroscopy (FTIR). To do so, five field-collected reclaimed powder samples and four artificial samples were evaluated. Scanning electron microscopy (SEM), X-ray fluorescence spectroscopy (XRF), and X-ray diffraction (XRD) were employed to characterize their microphase morphology, chemical composition, and crystal structure, respectively. Subsequently, FTIR was used to establish correlations between key acidity/alkalinity, cleanliness, and multiple characteristic peak intensities. Representative infrared characteristic peaks were selected, and a quantitative functional group index (Is) was proposed to simultaneously evaluate acidity/alkalinity and cleanliness. The results indicate that reclaimed powder primarily consists of tiny, crushed stone particles and dust, with significant variations in crystal structure and chemical composition, including calcium carbonate, silicon oxide, iron oxide, and aluminum oxide. Some samples also contained clay, which critically influenced the reclaimed powder properties. Since both filler acidity/alkalinity and cleanliness are affected by clay (silicon/carbon ratio determining acidity/alkalinity and aluminosilicate content affecting cleanliness), this study calculated four functional group indices based on FTIR absorption peaks, namely the Si-O-Si stretching vibration (1000 cm−1) and the CO32− asymmetric stretching vibration (1400 cm−1). These indices were correlated with conventional testing results (XRF for acidity/alkalinity, methylene blue value, and pull-off strength for cleanliness). The results show that the Is index exhibited strong correlations (R2 = 0.89 with XRF, R2 = 0.80 with methylene blue value, and R2 = 0.96 with pull-off strength), demonstrating its effectiveness in predicting both acidity/alkalinity and cleanliness. The developed method enhances reclaimed powder detection efficiency and facilitates high-value recycling in road engineering applications.

## Linked entities

- **Chemicals:** calcium carbonate (PubChem CID 10112), silicon oxide (PubChem CID 24261), iron oxide (PubChem CID 123289), aluminum oxide (PubChem CID 9989226), CO32− (PubChem CID 769)

## Full-text entities

- **Chemicals:** silicon oxide (-), silicon (MESH:D012825), carbon (MESH:D002244), aluminosilicate (MESH:C049037), Asphalt (MESH:C006647), iron oxide (MESH:C000499), aluminum oxide (MESH:D000537), methylene blue (MESH:D008751), calcium carbonate (MESH:D002119)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12348966/full.md

## Figures

18 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12348966/full.md

## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC12348966/full.md

---
Source: https://tomesphere.com/paper/PMC12348966