Little Live Pets 28847 Cozy DOZYS, Multi-Colour

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A. Bornet, M. Maucourt, C. Deborde, D. Jacob, J. Milani, B. Vuichoud, X. Ji, J. N. Dumez, A. Moing, G. Bodenhausen, S. Jannin and P. Giraudeau, Anal. Chem., 2016, 88, 6179 CrossRef CAS PubMed .

J. Mauhart, S. Glanzer, P. Sakhaii, W. Bermel and K. Zangger, J. Magn. Reson., 2015, 259, 207 CrossRef CAS PubMed . M. H. Lerche, D. Yigit, A. B. Frahm, J. H. Ardenkjaer-Larsen, R. M. Malinowski and P. R. Jensen, Anal. Chem., 2018, 90, 674 CrossRef CAS PubMed . S. Katsikis, I. Marin-Montesinos, M. Pons, C. Ludwig and U. L. Günther, Appl. Magn. Reson., 2015, 46, 723 CrossRef CAS . Complexity The most commonly used NMR experiment for mixture analysis is the 1D 1H pulse-acquire experiment. Protons have a spin I = 1/2, over 99% natural abundance, and the largest gyromagnetic ratio among stable nuclei, resulting in favourable sensitivity from an NMR point of view. However, the chemical-shift dispersion in 1H spectra is limited to 10–15 ppm. In addition, the large abundance of 1H nuclei result in the ubiquitous presence of 1H– 1H couplings, that yield diverse multiplet structures and broaden NMR signals. Overall, the spectra of all but the simplest mixtures are usually complex. newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}}}\) \( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash{#1}}} \)\(\newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\) \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\) \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\) \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\) \( \newcommand{\Span}{\mathrm{span}}\) \(\newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\) \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\) \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\) \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\) \( \newcommand{\Span}{\mathrm{span}}\)\(\newcommand{\AA}{\unicode[.8,0]{x212B}}\)

Research

J. R. N. Haler, D. Morsa, P. Lecomte, C. Jérôme, J. Far and E. De Pauw, Methods, 2018, 144, 125–133 CrossRef CAS PubMed. Fig. 6 (A) Structure of the non-fluorinated gel 9 and SANS curves without further treatment (blue dots) and after thin-film shearing (green dots). (B) Structure of the fluorinated gel 10 and SANS curves without further treatment (green dots) and after thin-film shearing (cyan dots). Reproduced from ref. 66 with permission from the Royal Society of Chemistry. A. Herrera, E. Fernandez-Valle, E. M. Gutierrez, R. Martinez-Alvarez, D. Molero, Z. D. Pardo and E. Saez, Org. Lett., 2010, 12, 144 CrossRef CAS PubMed . Further structural proof came from EPR spectroscopy, which is known to give a signal for partially reduced radical anions of the PDI groups. 86 Notably, its peak width depends on the number of PDI groups associated with the electron hopping process, making it possible to confirm or contradict the proposed model of pairwise interactions. After reduction with sodium dithionite, both aggregates showed an EPR signal with a width of 3.01 G in accordance with electron hopping between two PDI groups (pairwise interactions). 86

D. Golowicz, M. Kazmierczak and K. Kazimierczuk, Magn. Reson. Chem., 2021, 59, 213 CrossRef CAS PubMed . Z. D. Pardo, G. L. Olsen, M. E. Fernandez-Valle, L. Frydman, R. Martinez-Alvarez and A. Herrera, J. Am. Chem. Soc., 2012, 134, 2706 CrossRef CAS PubMed . Key learning points (1) The reader will repeat and/or learn basic concepts for a range of structural characterisation methods and get new insights into evaluating the obtained data critically. P. Lameiras, S. Patis, J. Jakhlal, S. Castex, P. Clivio and J. M. Nuzillard, Chemistry, 2017, 23, 4923 CrossRef CAS PubMed . H. Kumari, S. E. Armitage, S. R. Kline, K. K. Damodaran, S. R. Kennedy, J. L. Atwood and J. W. Steed, Soft Matter, 2015, 11, 8471–8478 RSC.The virtual separation of NMR spectra with standard DOSY methods, however, is limited by the difficulty to resolve overlapping signals. The most common method for data analysis consists of a non-linear least square fit of the data with one or several exponential functions. When mono-exponential fitting is used, the resulting peak in the DOSY display appears at an intermediate value, that cannot be immediately assigned to one component. Multi-exponential fitting can resolve overlapping peaks, 39 but only with excellent SNR and a sufficient difference in diffusion coefficients between the two compounds. As a result, standard DOSY methods are useful for assignment and identification, but they do not increase signal dispersion. A. Le Guennec, I. Tea, I. Antheaume, E. Martineau, B. Charrier, M. Pathan, S. Akoka and P. Giraudeau, Anal. Chem., 2012, 84, 10831 CrossRef CAS PubMed .