Archive for May, 2020

Prolonging the Lifetimes of Dye-Sensitized Solar Cells by Positioning Dyes

Dye-sensitized solar cells (DSSCs) are electrochemical devices that can convert solar energy into electricity. The critical component of a DSSC is its dye molecules which are covalently adsorbed on the electrodes of the DSSC. These molecules are responsible for light absorption and energy conversion in the device. DSSCs are more economical than commercial Si-based solar cells, but their lifetimes are limited (~6 years vs. 20-30 years of Si-based counterparts).

A research team from Xiamen University, China, recently demonstrated in Chemical Science (DOI: 10.1039/D0SC00588F) that the anchoring stability of the dyes determined the longevity of DSSCs. They specifically studied N719, a Ru-containing dye, adsorbed on three different crystal facets of rutile TiO2 (electrode). N719 adsorbed on the TiO2(111) facets was the most stable among all the facets studied.

The researchers adopted surface-enhanced Raman spectroscopy (Fig.1) in their research, the setup of which involved two laser beams. One 405-nm laser excited the dye molecules to initiate energy conversion, and another 638-nm laser collected the Raman scattering signals at the dye/TiO2 interface. The obtained Raman spectra showed the peaks associated with the vibrations of N719.

Figure 1. The experimental setup. The 405-nm laser excites N719 dye molecules adsorbed on rutile TiO2. The 638-nm laser probed the Raman scattering signals of N719. The Au nanoparticle (yellow sphere) enhances the Raman signal intensity.

The Raman spectra revealed that the adsorption stability of N719 depended on the crystal facet of TiO2. For TiO2(001), after illumination for 36 min, the Raman peaks of N719 gradually diminished (Fig. 2a), indicating that the dye molecules were either detached from TiO2 or decomposed. A similar trend was observed for N719 on TiO2(110) (Fig. 2b). Mass spectroscopy detected that the electrolytes after 36-min illumination contained N719 molecules missing an S atom. This result indicated that the C=S bond of N719 was broken, leading to the loss of the dye. In contrast, N719 on TiO2(111) exhibited stable Raman signals during the identical illumination duration (Fig. 2c).

The different stability was ascribed to variation in the dissociation energy of the C=S bond. Density functional theory (DFT) simulation proved that the cleavage of the C=S bond on TiO2(111) had an energy barrier of 3.5 eV, about 1.0 eV and 1.5 eV higher than those on TiO2(110) and TiO2(001), respectively. The higher energy barrier suppresses bond dissociation and stabilizes the adsorption of N719.

Figure 2. Raman spectra of N719 adsorbed on (a) TiO2(001), (b) TiO2(110), and (c) TiO2(111). Spectra were collected with an interval of 4 min. Peaks highlighted in yellow and blue are from TiO2 and N719, respectively. The schemes on the right show the simulated structures of dye-adsorbed (top) and desorbed (bottom) TiO2 facets. Ph–N=C=S represents N719 in simulation. The yellow spheres are S.

This work highlights the importance of dye positioning in promoting long-lasting performance of DSSCs.

For expanded understanding, please read:

In Situ Raman Study of the PhotoInduced Behavior of Dye Molecules on TiO2(hkl) Single Crystal Surfaces

Sheng-Pei Zhang, Jia-Sheng Lin, Rong-Kun Lin, Petar M. Radjenovic, Wei-Min Yang, Juan Xu, Jin-Chao Dong, Zhi-Lin Yang, Wei Hang, Zhong-Qun Tian, and Jian-Feng Li

Chem. Sci., 2020, DOI: 10.1039/D0SC00588F

 

Tianyu Liu acknowledges Zacary Croft at Virginia Tech, U.S., for his careful proofreading of this post.

 

About the blogger:

Tianyu Liu obtained his Ph.D. (2017) in Chemistry from the University of California, Santa Cruz, in the United States. He is passionate about the communication of scientific endeavors to both the general public and other scientists with diverse research expertise to introduce cutting-edge research to broad audiences. He is a blog writer for Chem. Comm. and Chem. Sci. More information about him can be found at http://liutianyuresearch.weebly.com/.

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Welcome to our new Associate Editor: Gabriel Merino

We would like to wish a very warm welcome to our new Chemical Science Associate Editor Professor Gabriel Merino!

 

Professor Gabriel Merino

Gabriel is a Professor in the Applied Physics Department at Centro de Investigacion y de Estudios Avanzados Merida (Cinvestav Mérida), México. He studied at the Universidad de las Americas Puebla (BSc in Chemistry, 1997) and Cinvestav Zacatenco (PhD in Chemistry, 2003) under the supervision of Alberto Vela. He then joined the group of Gotthard Seifert and Thomas Heine at TU Dresden as a postdoctoral fellow before returning to Mexico in 2005 to take his first independent research position at the Universidad de Guanajuato. He joined Cinvestav Merida in 2012 and his research group is one of the most active groups in Theoretical and Computational Chemistry in Mexico and Latin America.

Gabriel has also spent time researching at Cornell University (Roald Hoffmann, 2005), and the University of the Basque Country (Jesus Ugalde, 2011). He is a member of the Mexican National Researcher System (Level 3, the highest level), and a member of the Mexican Academy of Sciences. He has been awarded the Research Grant from the Academia Mexicana de Ciencias (2012), the Catedra Marcos Moshinsky (2012), the National Prize “Andres Manuel del Rio” in Chemistry from the Mexican Chemical Society (2017), the Walter Kohn Award (2018) from the International Center of Theoretical Physics, and the Moshinsky Medal (2019) from Institute of Physics (UNAM).

Gabriel has previously served as Associate Editor for RSC Advances (2016-2020) and is currently a member of the editorial board for the International Journal of Quantum Chemistry and ChemistrySelect. His group’s main research interests are the prediction of new chemical entities and the study of central concepts of chemistry, such as chemical bonding and aromaticity. You can find out more on their website.

 

Browse a selection of Gabriel’s latest work published by the Royal Society of Chemistry:

Origin of the isotropic motion in crystalline molecular rotors with carbazole stators
Abraham Colin-Molina, Marcus J. Jellen, Eduardo García-Quezada, Miguel Eduardo Cifuentes-Quintal, Fernando Murillo, Jorge Barroso, Salvador Pérez-Estrada, Rubén A. Toscano, Gabriel Merino and Braulio Rodríguez-Molina
Chem. Sci., 2019, 10, 4422-4429
DOI: 10.1039/C8SC04398A

Filling the void: controlled donor–acceptor interaction facilitates the formation of an M–M single bond in the zero oxidation state of M (M = Zn, Cd, Hg)
Ranajit Saha, Sudip Pan, Pratim K. Chattaraj and Gabriel Merino
Dalton Trans., 2020, 49, 1056-1064
DOI: 10.1039/C9DT04213J

Triggering the dynamics of a carbazole-p-[phenylene-diethynyl]-xylene rotor through a mechanically induced phase transition
Andrés Aguilar-Granda, Abraham Colin-Molina, Marcus J. Jellen, Alejandra Núñez-Pineda, M. Eduardo Cifuentes-Quintal, Rubén Alfredo Toscano, Gabriel Merino and Braulio Rodríguez-Molina
Chem. Commun., 2019, 55, 14054-14057
DOI: 10.1039/C9CC05672F

Exhaustive exploration of MgBn (n = 10–20) clusters and their anions
Yonghong Tian, Donghe Wei, Yuanyuan Jin, Jorge Barroso, Cheng Lu and Gabriel Merino
Phys. Chem. Chem. Phys., 2019, 21, 6935-6941
DOI: 10.1039/C9CP00201D

 

Chemical Science, Royal Society of Chemistry

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Real World data for protein modeling

It should go without saying that NMR is an incredibly important characterization technique with profoundly broad applicability across the entirety of chemistry. Rarely do you find something that people who work on proteins and wacky main-group synthesis both consider crucial to their work. Given powerful enough magnets and high-quality samples, rich structural information can be obtained for all manner of molecules large and small. Large molecules do pose a problem with the sheer volume of information contained within a single spectrum. Because of this, there exists a need to develop computational programs that can translate spectra into detailed structural models. Currently, existing methods predict NMR spectra based on a combination of experimentally based databases with chemical shift heuristics. These simulations, while useful, lack high predictive rigor and often have difficulty simulating the messiness of real world data. This is particularly challenging because experimental spectra can often have significant chemical shift deviations from predicted values, with those peaks discarded as outliers.

Figure 1. The overall design of the novel UCBShift chemical shift prediction algorithm, combining both a transfer prediction module a machine learning module.

To face these challenges and generate more accurate results, researchers in the US developed a new algorithm that uses both machine learning and transfer prediction (Figure 1). Transfer prediction has been widely used and relies on the similarities of NRM peak sequences between known data, typically clean datasets, and the experimental sample in question. The advantage of the new approach is that it allows for data that would previously have been dismissed as anomalous to be utilized and to give more accurate predictions. The researchers used high-quality datasets that they modified for accuracy. In particular, they retained the water and ligand molecules that co-crystallized with the proteins that would likely be associated with the solvated forms of the proteins. As the interactions of these small molecules can alter the spectral shifts of NMR peaks, their inclusion increases the likelihood that peaks previously considered outliers will be incorporated and analyzed.

Figure 2. Difference between UCBShift-Y and SHIFTY+ (previous method) showing that overall the new algorithm is making better predictions.

Initial analysis with the new dataset produced some anomalous results, which were then mitigated by removing paramagnetic and other outlier proteins that would bias the results against the earlier algorithms. Once those were removed, the new algorithm still outperformed prior methods (Figure 2). While these advances are extremely useful for current researchers, they are approaching the limit of accuracy for systems that rely heavily on transfer predictions. In order to generate fully accurate models and structures intense work on combining deep learning with human expertise is necessary.

To find out more, please read:

Accurate prediction of chemical shifts for aqueous protein structure on “Real World” data

Jie Li, Kochise C. Bennett, Yuchen Liu, Michael V. Martin and Teresa Head-Gordon

Chem. Sci., 2020,11, 3180-3191

About the blogger:

Dr. Beth Mundy is a recent PhD in chemistry from the Cossairt lab at the University of Washington in Seattle, Washington. Her research focused on developing new and better ways to synthesize nanomaterials for energy applications. She is often spotted knitting in seminars or with her nose in a good book. You can find her on Twitter at @BethMundySci.

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Welcome to Associate Editor Maja Köhn

We would like to wish a very warm welcome to our new Chemical Science Associate Editor Professor Maja Köhn!

 

 

Maja Köhn is a Professor for Integrative Signaling Research at the Faculty of Biology, University of Freiburg, Germany. She studied chemistry at the University of Kiel and moved afterwards to the Max-Planck-Institute and the University in Dortmund, where she obtained her PhD under the direction of H. Waldmann in 2005. After Maja’s postdoctoral work with G. L. Verdine at Harvard University, she started her independent career in 2007 as a group leader at the European Molecular Biology Laboratory in Heidelberg, Germany. In 2016 Maja moved to Freiburg for her current position. Research in her group focuses on the development and application of tools using synthetic chemistry and molecular cell biology to study and target phosphatases in health and disease. Maja’s ORCiD: https://orcid.org/0000-0001-8142-3504

 

Development of a solid phase synthesis strategy for soluble phosphoinositide analogues
Miriam Bru, Shriram P. Kotkar, Nilanjana Kar and Maja Köhn
Chem. Sci., 2012, 3, 1893-1902
DOI: 10.1039/C2SC01061E

Chemical Science, Royal Society of Chemistry

Submit to Chemical Science today! Check out our author guidelines for information on our article types or find out more about the advantages of publishing in a Royal Society of Chemistry journal.

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HOT articles: April

We are pleased to share a selection of our referee-recommended HOT articles for April. We hope you enjoy reading these articles and congratulations to all the authors whose articles are featured! As always, Chemical Science is free to read & download. You can find our full 2020 HOT article collection here.

 

What is the role of acid–acid interactions in asymmetric phosphoric acid organocatalysis? A detailed mechanistic study using interlocked and non-interlocked catalysts
Dennis Jansen, Johannes Gramüller, Felix Niemeyer, Torsten Schaller, Matthias C. Letzel, Stefan Grimme, Hui Zhu, Ruth M. Gschwind and Jochen Niemeyer
Chem. Sci., 2020, Advance Article
DOI: 10.1039/D0SC01026J

10.1039/D0SC01026J

 

Structural properties of ultra-small thorium and uranium dioxide nanoparticles embedded in a covalent organic framework
Liane M. Moreau, Alexandre Herve, Mark D. Straub, Dominic R. Russo, Rebecca J. Abergel, Selim Alayoglu, John Arnold, Augustin Braun, Gauthier J. P. Deblonde, Yangdongling Liu, Trevor D. Lohrey, Daniel T. Olive, Yusen Qiao, Julian A. Rees, David K. Shuh, Simon J. Teat, Corwin H. Booth and Stefan G. Minasian
Chem. Sci., 2020, Advance Article
DOI: 10.1039/C9SC06117G

 

Iron porphyrin catalysed light driven C–H bond amination and alkene aziridination with organic azides
Yi-Dan Du, Cong-Ying Zhou, Wai-Pong To, Hai-Xu Wang and Chi-Ming Che
Chem. Sci., 2020, Advance Article
DOI: 10.1039/D0SC00784F

 

The assemble, grow and lift-off (AGLO) strategy to construct complex gold nanostructures with pre-designed morphologies
Xin Luo, Christophe Lachance-Brais, Amy Bantle and Hanadi F. Sleiman
Chem. Sci., 2020, Advance Article
DOI: 10.1039/D0SC00553C

 

Geometric Landscapes for Material Discovery within Energy-Structure-Function Maps
Seyed Mohamad Moosavi, Henglu Xu, Linjiang Chen, Andrew Cooper and Berend Smit
Chem. Sci., 2020, Accepted Manuscript
DOI: 10.1039/D0SC00049C

 

Expedient synthesis of conjugated triynes via alkyne metathesis
Idriss Curbet, Sophie Colombel-Rouen, Romane Manguin, Anthony Clermont, Alexandre Quelhas, Daniel S. Müller, Thierry Roisnel, Olivier Baslé, Yann Trolez and Marc Mauduit
Chem. Sci., 2020, Advance Article
DOI: 10.1039/D0SC01124J

 

Transferring Axial Molecular Chirality Through a Sequence of On-Surface Reactions
Néstor Merino-Díez, Mohammed S. G. Mohammed, Jesus Castro, Luciano Colazzo, Alejandro Berdonces-Layunta, James Lawrence, Jose Ignacio Pascual, Dimas G. de Oteyza and Diego Peña
Chem. Sci., 2020, Accepted Manuscript
DOI: 10.1039/D0SC01653E

 

Chemical Science, Royal Society of Chemistry

Submit to Chemical Science today! Check out our author guidelines for information on our article types or find out more about the advantages of publishing in a Royal Society of Chemistry journal.

Keep up to date with our latest articles, reviews, collections & more by following us on Twitter. You can also keep informed by signing up to our E-Alerts.

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