Benchtop NMR Coupling to Liquid ChromatographyChemically-selective detection in Size Exclusion Chromatography Reaction Size Exclusion Chromatography (SEC) is one of the most widely used techniques for polymer analysis. It reliably provides molar mass distributions and supports quality control, research, and industrial formulation work. However, when it comes to complex polymer systems—such as blends, block copolymers, structural …
Simultaneous Dual-Phase Reaction Monitoring by Benchtop NMRReal-Time Kinetic Analysis of a Biphasic Suzuki–Miyaura Coupling Reaction Introduction In the past decade, benchtop nuclear magnetic resonance (NMR) spectroscopy has become a well-established tool for on-line reaction monitoring. The compact size and low weight of these spectrometers provide the mobility required to install them directly inside a fume …
Simultaneous Dual-Phase Reaction Monitoring by Benchtop NMR Read More »
“Dopamine Rush” – The Story of Exchange Dopamine is the main neurotransmitter involved in the pathway that regulates reward-motivated behavior [1]. The rewarding feeling that we experience when spending quality time with our loved ones, or acquiring a perfectly resolved NMR spectrum, comes from the increased dopamine level. This in turn motivates us to repeat …
Multinuclear NMR Analysis of a Reducing Agent Boron compounds are used in a variety of fields including but not limited to organic chemistry, pharmaceuticals, agriculture, ceramics, fire retardancy, biocides, and nuclear energy. Common techniques to analyze boron-containing compounds include inductively coupled plasma mass spectrometry (ICP-MS) and colorimetric methods. Although ICP-MS is known for its sensitivity …
A Multidimensional Approach for 1H-11B Correlation NMR Spectroscopy Boron is increasingly recognized for its medicinal applications [1]. Over the past two decades, significant advancements in boron organic chemistry have led to a profound impact on drug design and development [1]. These advancements have facilitated the incorporation of boron-containing functional groups into pharmaceuticals, enhancing their accessibility …
Utilizing PGSTE diffusion measurements for molecular weight determination by benchtop NMR In a previous application note, we discussed how the molecular weight of two PDMS polymers can be measured via end-group analysis in 1D ²⁹Si-NMR. Building on that discussion, this study focuses on the use of diffusion NMR spectroscopy to determine the molecular weight of …
Rapid molecular weight determination of Polydimethylsiloxanes (PDMS) Read More »
Reduce the quantification time of 13C 1000 times by including polarization transfer and indirect detection. The most common approach to quantifying materials by NMR utilizes 1H NMR spectra, which combines high intrinsic sensitivity with straightforward, inherently quantitative signal integrals. In complex formulations and reaction mixtures, however, 1H spectra often suffer from peak overlap, which limits …
q-HSQC for Sensitivity-Enhanced 13C Quantitation Read More »
Maximizing signal-to-noise ratio per measurement time by using the advantages of magnetization transfer in 29Si–1H-HMBC spectra. In a previous application note we discussed how the copolymer composition and average molar mass of poly(dimethylsiloxane-co-methylhydrosiloxane), trimethylsilyl terminated (Figure 1) can be determined by 29Si-DEPT NMR spectra and using a well characterized sample of the same substance as …
q-HMBC for Sensitivity-Enhanced 29Si Quantitation Read More »
Curcumin is a bright yellow polyphenolic compound produced by the turmeric (Curcuma longa) plant, a member of the ginger family, which has varied applications, such as an antioxidant, a natural dye or colouring and flavouring agent. The molecule exists in an equilibrium of keto and enol form (Figure 1), with the former preferred in water …
Introduction Recent advances in laboratory automation and analytical instrumentation have opened new possibilities for accelerating reaction development, particularly in flow chemistry. Among these, the integration of real-time analytics with intelligent process control has enabled the emergence of self-optimizing reactor systems. These setups are capable of autonomously exploring reaction conditions to maximize the performance of the …
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