Evidence map›Paper›PMID 40028093›Full record

ArticleACS omega2025

Exploring the Potential of PEG-Based Deep Eutectic Solvents as a Sustainable Alternative for Extraction of Biological Macromolecules Bovine Serum Hemoglobin.

Masooma Siddiqui, Md Sayem Alam, Maroof Ali

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In one paragraph

Article in ACS omega, 2025. 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

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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.

Masooma SiddiquiDepartment of Chemistry, Aligarh Muslim University, Aligarh, Uttar Pradesh 202002, India.
Md Sayem AlamCouncil of Scientific and Industrial Research (CSIR)-Central Leather Research Institute (CLRI), Polymer Science & Technology, Adyar, Chennai 600 020, India.ORCID https://orcid.org/0000-0001-9944-1620
Maroof AliDepartment of Chemistry, Aligarh Muslim University, Aligarh, Uttar Pradesh 202002, India.ORCID https://orcid.org/0000-0003-0296-5327

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, deep eutectic solvents (DESs) have garnered significant attention as promising green alternatives to conventional organic solvents for a wide range of applications. In this study, four novel polyethylene glycol (PEG)-based DESs were prepared and evaluated for their physicochemical properties, including density, dynamic viscosity, and kinematic viscosity. Fourier transform infrared spectroscopy (FT-IR) and NMR analyses revealed substantial intermolecular interactions between the hydrogen bond donor and hydrogen bond acceptor components, confirming the formation of stable DES systems. The application of the prepared DESs was tested in biological separation, specifically for the selective extraction of bovine serum hemoglobin (BHb). This study demonstrates the efficacy of PEG-based DESs in selectively extracting BHb. Among the DESs studied, DES-4 (PEG-600) achieved the highest extraction efficiency of 88%, while maintaining protein stability. Spectroscopic techniques, including UV-visible, fluorescence, dynamic light scattering, circular dichroism, and FT-IR, were employed to investigate the extraction mechanism, conformational changes in protein structure, and DES-protein interactions. These methods provided insights into the structural stability and functionality of BHb during the extraction process. The physicochemical characterizations confirmed the unique properties of PEG-based DESs, making them viable candidates for sustainable protein extraction. Their compatibility, excellent extraction efficiency, and short separation times underscore their potential as environmentally friendly and long-lasting substitutes for conventional separation techniques. This study highlights the advancement of DESs in green chemistry and biotechnological applications, offering an efficient and sustainable platform for protein extraction while maintaining structural integrity.

Identifiers

PMID40028093
PMCPMC11866021

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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.