This article explores the important, and yet often overlooked, solid-state structures of selected bioaromatic compounds commonly found in lignin hydrogenolysis oil, a renewable bio-oil that holds great promise to substitute fossil-based aromatic molecules in a wide range of chemical and material industrial applications. At first, single-crystal X-ray diffraction (SCXRD) was applied to the lignin model compounds, dihydroconiferyl alcohol, propyl guaiacol, and eugenol dimers, in order to elucidate the fundamental molecular interactions present in such small lignin-derived polyols. Then, considering the potential use of these lignin-derived molecules as building blocks for polymer applications, structural analysis was also performed for two chemically modified model compounds, i.e., the methylene-bridging propyl-guaiacol dimer and propyl guaiacol and eugenol glycidyl ethers, which can be used as precursors in phenolic and epoxy resins, respectively, thus providing additional information on how the molecular packing is altered following chemical modifications. In addition to the expected H-bonding interactions, other interactions such as π-π stacking and C-H∙∙∙π were observed. This resulted in unexpected trends in the tendencies towards the crystallization of lignin compounds. This was further explored with the aid of DSC analysis and CLP intermolecular energy calculations, where the relationship between the major interactions observed in all the SCXRD solid-state structures and their physico-chemical properties were evaluated alongside other non-crystallizable lignin model compounds. Beyond lignin model compounds, our findings could also provide important insights into the solid-state structure and the molecular organization of more complex lignin fragments, paving the way to the more efficient design of lignin-based materials with improved properties for industrial applications or improving downstream processing of lignin oils in biorefining processes, such as in enhancing the separation and isolation of specific bioaromatic compounds).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11477037PMC
http://dx.doi.org/10.3390/ijms251910810DOI Listing

Publication Analysis

Top Keywords

model compounds
16
solid-state structures
12
lignin model
12
lignin
9
lignin hydrogenolysis
8
hydrogenolysis oil
8
compounds
8
bioaromatic compounds
8
industrial applications
8
propyl guaiacol
8

Similar Publications

A cross-species inducible system for enhanced protein expression and multiplexed metabolic pathway fine-tuning in bacteria.

Nucleic Acids Res

January 2025

Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, NO.1800, Lihu avenue, Wuxi 214122, China.

Inducible systems are crucial to metabolic engineering and synthetic biology, enabling organisms that function as biosensors and produce valuable compounds. However, almost all inducible systems are strain-specific, limiting comparative analyses and applications across strains rapidly. This study designed and presented a robust workflow for developing the cross-species inducible system.

View Article and Find Full Text PDF

Gualou-Xiebai-Banxia (GXB) decoction shows potential for treating myocardial ischemia (MI), although its underlying mechanism is not fully understood. In this study, a multimodal metabolomics approach, combining gas chromatography-mass spectrometry (GC-MS) and H-NMR, was employed to investigate the cardioprotective effects of GXB in a rat model of myocardial ischemia induced by ligation. ELISA assays and HE staining demonstrated that GXB effectively reduced myocardial injury, oxidative stress markers, and myocardial fibrosis.

View Article and Find Full Text PDF

Background: Edible insects are used for consumption and traditional medicine due to their rich bioactive compounds. This study examined the bioactive compounds and inhibitory effects of crude extracts from Bombyx mori and Omphisa fuscidentalis on α-glucosidase, α-amylase, acetylcholinesterase (AChE), and tyrosinase. Fatty acids, including n-hexadecanoic acid and oleic acid, were identified in the extracts and evaluated for their inhibitory potential against the enzymes in vitro and in silico.

View Article and Find Full Text PDF

COX-2 Inhibitor Prediction With KNIME: A Codeless Automated Machine Learning-Based Virtual Screening Workflow.

J Comput Chem

January 2025

Pharmaceutical Chemistry Research Laboratory 1, Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, India.

Cyclooxygenase-2 (COX-2) is an enzyme that plays a crucial role in inflammation by converting arachidonic acid into prostaglandins. The overexpression of enzyme is associated with conditions such as cancer, arthritis, and Alzheimer's disease (AD), where it contributes to neuroinflammation. In silico virtual screening is pivotal in early-stage drug discovery; however, the absence of coding or machine learning expertise can impede the development of reliable computational models capable of accurately predicting inhibitor compounds based on their chemical structure.

View Article and Find Full Text PDF

Because of their resilience, Time-of-Flight (ToF) cameras are now essential components in scientific and industrial settings. This paper outlines the essential factors for modeling 3D ToF cameras, with specific emphasis on analyzing the phenomenon known as "wiggling". Through our investigation, we demonstrate that wiggling not only causes systematic errors in distance measurements, but also introduces periodic fluctuations in statistical measurement uncertainty, which compounds the dependence on the signal-to-noise ratio (SNR).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!