Evidence map›Paper›PMID 42076281›Full record

ArticlePolymers2026

Quantitative Assessment of SBS-Modifier Content in Bituminous Binders Using Infrared Spectroscopy.

Saltanat Ashimova, Yerik Amirbayev, Adiya Zhumagulova, Manarbek Zhumamuratov, Sakypzhamal Begaliyeva, Zhanar Baibolekova, Mariya Smagulova

Abstract read
In one paragraph

Article in Polymers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

7 authors.

Saltanat AshimovaDepartment of Science and Innovation Development, "Kazakhstan Road Research Institute" JSC, Astana 010000, Kazakhstan.
Yerik AmirbayevDepartment of Science and Innovation Development, "Kazakhstan Road Research Institute" JSC, Astana 010000, Kazakhstan.
Adiya ZhumagulovaDepartment of Science and Innovation Development, "Kazakhstan Road Research Institute" JSC, Astana 010000, Kazakhstan.ORCID 0000-0002-6310-2501
Manarbek ZhumamuratovDepartment of Science and Innovation Development, "Kazakhstan Road Research Institute" JSC, Astana 010000, Kazakhstan.ORCID 0000-0003-3516-9271
Sakypzhamal BegaliyevaDepartment of Science and Innovation Development, "Kazakhstan Road Research Institute" JSC, Astana 010000, Kazakhstan.
Zhanar BaibolekovaDepartment of Science and Innovation Development, "Kazakhstan Road Research Institute" JSC, Astana 010000, Kazakhstan.
Mariya SmagulovaDepartment of Science and Innovation Development, "Kazakhstan Road Research Institute" JSC, Astana 010000, Kazakhstan.

Funding

funded by Committee of Highways of the Ministry of Transport GZ-25 dated January 15, 2025
6 · The paper itself

Abstract

Polymer-modified bituminous binders are widely used in road construction due to their enhanced mechanical performance; however, the effectiveness of these materials critically depends on the actual concentration of polymer modifiers, particularly styrene-butadiene-styrene (SBS). This study aims to develop and validate a rapid, reproducible Fourier Transform Infrared Spectroscopy-Attenuated Total Reflectance (FTIR-ATR) spectroscopy method for the quantitative determination of SBS content in polymer-modified bitumen (PMB). Since, to date, there is no clearly defined method for controlling the quantitative content of polymers in PMB, this creates difficulties in accepting the roadway into operation. Calibration PMB samples containing 1-4% SBS were prepared, tested for physical and mechanical properties, and analyzed spectroscopically to identify characteristic absorption bands at 966 cm

Indexed as

bituminous binderscalibration curveFTIR-ATRinfrared spectroscopypolymer-modified bitumenquality controlSBS modifier

Identifiers

PMID42076281
PMCPMC13120047

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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.