Benoît Charrier

Isoindigo derivatives for application in p-type dye sensitized solar cells

In this study, we have investigated for the first time the use of isoindigo derivatives as sensitizers in NiO-based dye-sensitized solar cells (DSSCs). For this purpose, two indigo sensitizers were prepared and their electronic properties were characterized by UV/visible spectroscopy, cyclic voltammetry and time-dependent density functional theory (TD-DFT). The first dye contains a N,N-di(4-benzoic acid)phenylamine moiety acting as anchoring/donor group, and the isoindigo acting as the acceptor, while the second compound is a dyad which is based on the same structure, but is additionally functionalized with a naphthalene imide unit, acting as a secondary electron acceptor. The electronic properties were also modeled by TD-DFT quantum chemistry calculations and they revealed that a charge transfer band is present between the trisarylamine donor part and the isoindigo moiety. The photovoltaic performances of these new dyes were evaluated in NiO-based DSSCs with both iodide/triiodide and cobalt electrolytes. It turned out that they perform well since the photocurrent was generated up to the wavelength of 700 nm. Altogether, these results underscore the viability of isoindigo dyes for p-DSSCs.

Fast Spatially Encoded 3D NMR Strategies for 13C-Based Metabolic Flux Analysis

The measurement of site-specific (13)C enrichments in complex mixtures of (13)C-labeled metabolites is a powerful tool for metabolic flux analysis. One of the main methods to measure such enrichments is homonuclear (1)H 2D NMR. However, the major limitation of this technique is the acquisition time, which can amount to a few hours. This drawback was recently overcome by the design of fast COSY experiments for measuring specific (13)C-enrichments, based on single-scan 2D NMR. However, these experiments are still limited by overlaps because of(1)H-(13)C splittings, thus limiting the metabolic information accessible for complex biological mixtures. To circumvent this limitation, we propose to tilt the (1)H-(13)C coupling into a third dimension via fast-hybrid 3D NMR methods combining the speed of ultrafast 2D NMR with the high resolution of conventional methods. Two strategies are described that allow the acquisition of a complete 3D J-resolved-COSY spectrum in 12 min (for concentrations as low as 10 mM). The analytical potentialities of both methods are evaluated on a series of (13)C-enriched glucose samples and on a biomass hydrolyzate obtained from Escherichia coli cells. Once optimized, the two complementary experiments lead to a trueness and a precision of a few percent and an excellent linearity. The advantages and drawbacks of these approaches are discussed and their potentialities are highlighted.

Processing strategies to obtain clean interleaved ultrafast 2D NMR spectra.

Ultrafast (UF) 2D NMR enables the acquisition of 2D spectra in a single-scan. In spite of its promising potential, the accessible spectral width is highly limited by the maximum gradient amplitude, which limits the general applicability of the method. A number of solutions have been recently described to deal with this limitation, among which stands the possibility to record several interleaved scans. However, this alternative acquisition scheme leads to numerous ghost peaks characteristic of interleaved acquisitions. These artefacts highly affect the readability of 2D spectra for structural elucidation, as well as their quantitative performance. Here, we propose several pre-FT or post-FT processing corrections to clean artefacts from interleaved ultrafast NMR spectra. Their performances are compared, and their potentialities are illustrated in a small organic molecule context. Post-FT processing corrections such as ArSub (Artefact Subtraction) or symmetrisation appear to be the most efficient ones in terms of artefact removal. While not purely single-scan, these strategies open new perspectives towards the routine use of UF 2D NMR for structural or quantitative analysis.

New practical tools for the implementation and use of ultrafast 2D NMR experiments.

Ultrafast (UF) 2D NMR is a very promising methodology enabling the acquisition of 2D spectra in a single scan. In the last few years, the analytical performance of UF 2D NMR has been highly increased, consequently maximizing its range of applications. However, its implementation and use by non‐specialists are far from being straightforward, because of the specific acquisition and processing procedures and parameters characterizing UF NMR. To make this methodology implementable and applicable by non‐specialists, we developed a simple routine capable of translating conventional parameters (spectral widths and transmitter frequencies) into specific UF parameters (gradient and chirp pulse parameters). This macro was subsequently implemented in a Web page, which is available for external users. Although the algorithm was designed for two widely used 2D experiments, COSY and HSQC, it can easily be extended to any other pulse sequence. The robustness of this routine was verified successfully on a variety of small molecules. We believe that this tool will eliminate much of the technical difficulties related to UF 2D NMR and will make the technique accessible to a wider audience of organic and analytical chemists. Copyright

Fast access to residual dipolar couplings by single-scan 2D NMR in oriented media.

Residual dipolar couplings (RDCs) have revolutionized the structure determination of biomolecular and organic compounds. So far, their measurement has been rather time‐consuming, but one might imagine that RDCs can one day also be useful in the investigation of compounds with limited stability or short lifetimes. For such applications, it is indispensable to shorten the experiment time. In this communication, we show the first measurement of RDCs from single‐scan two‐dimensional NMR. An ultrafast HSQC NMR pulse sequence is presented, which includes several of the recent improvements brought to ultrafast NMR in terms of sensitivity, resolution, and spectral width. Ultrafast spectra are obtained in as little time as 60 s on an organic compound at natural abundance, namely (+)‐isopinocampheol. When extracting the RDCs from these ultrafast data, a good agreement with those extracted from conventional spectra (obtained in a much longer time) is observed. These results point out the efficiency of the ultrafast approach, particularly when considering the total experiment duration. Copyright

Understanding J‐Modulation during Spatial Encoding for Sensitivity‐Optimized Ultrafast NMR Spectroscopy

Ultrafast (UF) NMR spectroscopy is an approach that yields 2D spectra in a single scan. This methodology has become a powerful analytical tool that is used in a large array of applications. However, UF NMR spectroscopy still suffers from an intrinsic low sensitivity, and from the need to compromise between sensitivity, spectral width, and resolution. In particular, the modulation of signal intensities by the spin-spin J-coupling interaction (J-modulation) impacts significantly on the intensities of the spectral peaks. This effect can lead to large sensitivity losses and even to missing spectral peaks, depending on the nature of the spin system. Herein, a general simulation package (Spinach) is used to describe J-modulation effects in UF experiments. The results from simulations match with experimental data and the results of product operator calculations. Several methods are proposed to optimize the sensitivity in UF COSY spectra. The potential and drawbacks of the different strategies are also discussed. These approaches provide a way to adjust the sensitivity of UF experiments for a large range of applications.

Gradient-based solvent suppression methods on a benchtop spectrometer.

Benchtop NMR emerges as an appealing alternative to widely extend the scope of NMR spectroscopy in harsh environments and for on‐line monitoring. Obviously, the use of low‐field magnets induces a dramatic reduction of the spectral resolution leading to frequent peak overlaps. This issue is even more serious because applications such as chemical process monitoring involve the use of non‐deuterated solvents, leading to intense and broad peaks overlapping with the signals of interest. In this article, we highlight the need for efficient suppression methods compatible with flowing samples, which is not the case of the common pre‐saturation approaches. Thanks to a gradient coil included in our benchtop spectrometer, we were able to implement modern and efficient solvent suppression blocks such as WET or excitation sculpting to deliver quantitative spectra in the conditions of the on‐line monitoring. While these methods are commonly used at high field, this is the first time that they are investigated on a benchtop setting. Their analytical performance is evaluated and compared under static and on‐flow conditions. The results demonstrate the superiority of gradient‐based methods, thus highlighting the relevance of implementing this device on benchtop spectrometers. The comparison of major solvent suppression methods reveals an optimum performance for the WET‐180‐NOESY experiment, both under static and on‐flow conditions. Copyright

High-throughput authentication of edible oils with benchtop Ultrafast 2D NMR

We report the use of an Ultrafast 2D NMR approach applied on a benchtop NMR system (43 MHz) for the authentication of edible oils. Our results demonstrate that a profiling strategy based on fast 2D NMR spectra recorded in 2.4 min is more efficient than the standard 1D experiments to classify oils from different botanical origins, since 1D spectra on the same samples suffer from strong peak overlaps. Six edible oils with different botanical origins (olive, hazelnut, sesame, rapeseed, corn and sunflower) have been clearly discriminated by PCA analysis. Furthermore, we show how this approach combined with a PLS model can detect adulteration processes such as the addition of hazelnut oil into olive oil, a common fraud in food industry.

An Autonomous Self-Optimizing Flow Reactor for the Synthesis of Natural Product Carpanone

A modular autonomous flow reactor combining monitoring technologies with a feedback algorithm is presented for the synthesis of the natural product carpanone. The autonomous self-optimizing system, controlled via MATLAB, was designed as a flexible platform enabling an adaptation of the experimental setup to the specificity of the chemical transformation to be optimized. The reaction monitoring uses either online high pressure liquid chromatography (HPLC) or in-line benchtop nuclear magnetic resonance (NMR) spectroscopy. The custom-made optimization algorithm derived from the Nelder-Mead and golden section search methods performs constrained optimizations of black-box functions in a multidimensional search domain, thereby assuming no a priori knowledge of the chemical reactions. This autonomous self-optimizing system allowed fast and efficient optimizations of the chemical steps leading to carpanone. This contribution is the first example of a multistep synthesis where all discrete steps were optimized with an autonomous flow reactor.