Evidence map›Paper›PMID 41388052›Full record

ArticleScientific reports2025

Elucidating the molecular compatibility mechanism to guide the optimization of Straw-Derived asphalt.

Weishuai Ji, Shuangshuang Liang, Wenyuan Xu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Weishuai JiNortheast Forestry University, Harbin, China.
Shuangshuang LiangNortheast Forestry University, Harbin, China.
Wenyuan XuNortheast Forestry University, Harbin, China. xuwenyuan@nefu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amid the growing focus on sustainable development, the integration of renewable materials, such as straw liquefied residue oil (SLRO), into asphalt engineering is gaining significant attention. However, the underlying compatibility mechanisms and their impact on performance remain inadequately understood. This study offers a thorough investigation of the SLRO-asphalt system by combining molecular dynamics (MD) simulations with multi-scale experimental techniques. MD simulations revealed that intermolecular interactions, primarily hydrogen bonding, increase with higher SLRO content, peaking at 10 wt.%, which facilitates the formation of the most cohesive molecular network. Experimental results confirmed that this enhanced network exerts a dual influence on performance. Dynamic shear rheometer (DSR) tests demonstrated that the 10% SLRO blend significantly improved high-temperature rutting resistance following short-term aging. In contrast, bending beam rheometer (BBR) tests on long-term aged samples indicated that the same stiffening mechanism reduced low-temperature thermal cracking resistance. This study clarifies the microscopic origins of this performance trade-off, suggesting that the optimal SLRO content is context-dependent, requiring a balance between rutting and cracking resistance rather than an absolute value. These findings provide a crucial mechanistic foundation for the rational design and performance-driven optimization of sustainable bio-asphalts.

Indexed as

CompatibilityMolecular dynamics (MD)Straw-derived asphaltStraw liquefied residue oil (SLRO)

Identifiers

PMID41388052
PMCPMC12700915

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.