17O NMR spectroscopy protocol for the determination of water content in liquids produced by pyrolysis and hydrothermal liquefaction DOI Creative Commons
Noora Jokinen,

Eemeli Eronen,

Jouko Vepsäläinen

et al.

Analytica Chimica Acta, Journal Year: 2024, Volume and Issue: 1329, P. 343188 - 343188

Published: Aug. 30, 2024

There is an urgent need to replace fossil-based fuels and chemicals with bio-based, renewable alternatives. Water content a critical parameter in these liquid products since water affects their quality properties. However, currently existing methods for bio-oil determination have limitations thus, there find that are versatile, work wide sample consistency range repeatably reliably safe the user environment.

Language: Английский

Machine learning-based rapid multi-component quantification in Danshen Injections using 1H NMR DOI

Xinyuan Xie,

Sijun Wu, Jiayu Yang

et al.

Measurement, Journal Year: 2025, Volume and Issue: 248, P. 116957 - 116957

Published: Feb. 7, 2025

Language: Английский

Citations

1

Bioinspired Fluorine Labeling for 19F NMR-Based Plasma Amine Profiling DOI

Quynh Huong Duong,

Eun-Jeong Kwahk,

Jumi Kim

et al.

Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 20, 2024

Metabolite profiling serves as a powerful tool that advances our understanding of biological systems, disease mechanisms, and environmental interactions. In this study, we present an approach employing 19F-nuclear magnetic resonance (19F NMR) spectroscopy for plasma amine profiling. This method utilizes highly efficient reliable fluorine-labeling reagent, 3,5-difluorosalicylaldehyde, which effectively emulates pyridoxal phosphate, facilitating the formation Schiff base compounds with primary amines. The fluorine labeling allows distinct resolution 19F NMR signals from mixtures, leading to precise identification quantification metabolites in human plasma. advancement offers valuable tools furthering metabolomics research.

Language: Английский

Citations

5

Explainable AI to Facilitate Understanding of Neural Network-Based Metabolite Profiling Using NMR Spectroscopy DOI Creative Commons
Hayden Johnson, Aaryani Tipirneni‐Sajja

Metabolites, Journal Year: 2024, Volume and Issue: 14(6), P. 332 - 332

Published: June 14, 2024

Neural networks (NNs) are emerging as a rapid and scalable method for quantifying metabolites directly from nuclear magnetic resonance (NMR) spectra, but the nonlinear nature of NNs precludes understanding how model makes predictions. This study implements an explainable artificial intelligence algorithm called integrated gradients (IG) to elucidate which regions input spectra most important quantification specific analytes. The approach is first validated in simulated mixture eight aqueous then investigated experimentally acquired lipid reference standard murine hepatic extract. IG revealed that, like human spectroscopist, recognize quantify analytes based on analyte’s respective line-shapes, amplitudes, frequencies. can compensate peak overlap prioritize resonances concentration determination. Further, we show modifying NN training dataset affect decisions, provide examples this be used de-bug issues with performance. Overall, results that technique facilitates visual quantitative inputs relate outputs, potentially making more attractive option targeted automated NMR-based metabolomics.

Language: Английский

Citations

4

A Rocking‐Chair Type Aqueous Nickel–Organic Battery with Azobenzene Anode DOI
Xiaomeng Liu, Shuo Xu,

Youxuan Ni

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Abstract Aqueous nickel‐organic batteries have the potential for grid‐scale energy storage due to their high safety and sustainability merits. However, organic anodes generally store charge by coordinating with alkaline metal cations, which could cause electrolyte consumption. Here, azobenzene (AZO) is screened out from carbonyl, imine, azo compounds serve as anodes, combining it Ni(OH) 2 cathodes construct a “rocking‐chair” type battery system. Qualitative quantitative analyses demonstrate N═N group acts active center, while protons carriers during electrochemical reaction. Benefiting small ionic radius fast ions transport of protons, this not only delivers an excellent rate performance, capacity 281.5 mAh g − ¹ at current density 1C (0.3 A ¹) maintains 274.4 100C, but also exhibits remarkable long‐term cycling stability, retaining 92.5% its initial after 10 000 cycles. Additionally, pouch cell discharge 1.36 Ah assembled, yielding 64.3 Wh kg (based on total mass). This work expands range anode materials, inspires development aqueous proton mechanism.

Language: Английский

Citations

0

Application of deep eutectic solvents in lubrication: A review DOI
M. Sernaglia, M. Bartolomé, J.L. Viesca

et al.

Journal of Molecular Liquids, Journal Year: 2025, Volume and Issue: unknown, P. 127464 - 127464

Published: March 1, 2025

Language: Английский

Citations

0

Evaluation of pure shift NMR methods for the analysis of complex metabolite mixtures with a benchtop NMR spectrometer DOI

Joris Mandral,

Simon Roques, Jean‐Nicolas Dumez

et al.

Analytical Methods, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

A comparison of ultra-resolved pure shift NMR techniques, mitigating the resolution problem compact instruments, showed that J-resolved double echo is most performant technique, enabling profiling biological complex mixtures.

Language: Английский

Citations

0

Enhanced Standard Operating Procedures for 31P NMR-Based Metabolomics in Tissue Extracts DOI Creative Commons

Sara Martin-Ramos,

Jon Bilbao,

Tammo Diercks

et al.

JACS Au, Journal Year: 2025, Volume and Issue: unknown

Published: April 13, 2025

Language: Английский

Citations

0

Unlocking the Potential of Water-Insoluble Natural Polymers: Isolation, Characterization, and 2D NMR Quantification of cis-1,4-Poly-β-myrcene in Chios Mastic Gum DOI Creative Commons
Stavros Beteinakis, Eleni V. Mikropoulou, Dimitris Michailidis

et al.

Journal of Natural Products, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Natural polymers have garnered attention due to their unique properties, i.e., structural versatility, biocompatibility, and modifiability. Recent efforts focus on sustainable raw materials develop environmentally friendly processes products that align with global sustainability goals. Among these, Chios mastic gum, derived from the tree (Pistacia lentiscus var. Chia), is notable for its diverse food, pharmaceutical, cosmetics applications. One of key components cis-1,4-poly-β-myrcene, a natural polyterpene polymer, constituting 20-30% resin's composition. Despite potential, complex composition gum poses challenges in extracting, isolating, quantifying polymeric content. NMR spectroscopy offers nondestructive approach may be instrumental developing standardized methods cis-1,4-poly-β-myrcene gum. Such are vital understanding exploring potential applications, particularly biomedical fields. This study addresses these by producing sample as standard quantification procedures. Centrifugal partition chromatography, support-free liquid-liquid chromatography technique, was employed purify fraction. The polymer then characterized through size exclusion methods, including DOSY quantitative HSQC experiments, facilitate an accurate analysis open door further applications this polymer.

Language: Английский

Citations

0

Analytical Comparison of Two Quantitative HSQC Methods for the Absolute Quantitation of Metabolites DOI

Jérémy Marchand,

Estelle Martineau, Jonathan Farjon

et al.

Magnetic Resonance in Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

ABSTRACT Multiple 2D HSQC NMR methods have been developed for the absolute quantitation of metabolites in complex mixtures without need external calibration or standard additions. However, analytical comparison between these is lacking. This study aims at comparing performance two “intrinsically quantitative” heteronuclear targeted metabolite mixtures: 0 and Q QUIPU HSQC. Each method was applied on a model mixture same total experiment time. Both were accelerated with non‐uniform sampling (NUS), then further by combining NUS variation pulse sequence repetition time (VRT). metrics evaluated compared quantitation, including trueness, repeatability, sensitivity. Globally, versions sequences, using VRT, performed better than NUS‐only acquisitions. On one hand, provided enough sensitivity achieved, observed , which also appears as more user‐friendly technique. other shown to be repeatable sensitive.

Language: Английский

Citations

0

Development of molecular diagnostic methods to distinguish Acerola species for quality assurance of food, dietary supplements and natural health products DOI
Subramanyam Ragupathy, A Thirugnanasambandam, Varathan Vinayagam

et al.

Published: May 15, 2025

Abstract Acerola (Barbados cherries) has become a highly traded superfruit because it contains many phytonutrients and is good source of vitamin C. The fruits Malpighia glabra, M. emarginata are utilized in food products, dietary supplements natural health products. However, there differences among the fruit Malpighia species with respect to phytochemicals, nutrient value clinical research. Furthermore, evidence adulteration other such as cherries (Prunus spp.). Unfortunately, conventional morphological examination does not distinguish acerola species. no published methods available these including chemical DNA based techniques. This risk quality assurance (QA) increased when considering processed berries into juice or powdered ingredients which most common for manufactures. lack QA also increases cheaper from goal this research provide orthogonal molecular authenticate discuss benefits constraints two different methods. supports programs fit-for-purpose verifying authenticity suppliers.

Language: Английский

Citations

0