## Salvatore Assenza

#### Postdoctoral Researcher

### Salvatore Assenza

#### Postdoctoral Researcher

##### Departamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid

### News

**06 May 2019**

New article on enzymatic reactions in lipid-based nanoconfinement published on Angewandte!

**25 April 2019**

Double update today: Our article on amorphous water in nanoconfinement was featured on Chemistry World

**25 April 2019**

New article " Impact of Molecular Partitioning and Partial Equilibration on the Estimation of Diffusion Coefficients from Release Experiments " published on Langmuir!

**8 April 2019**

Very exciting news! Our new article " Soft biomimetic nanoconfinement promotes amorphous water over ice " has just been published on Nature Nanotechnology!

**5 March 2019**

New article " The interplay of channel geometry and molecular features determines diffusion in lipidic cubic phases " is finally out on the Journal of Chemical Physics!

**15 February 2019**

Our article " Curvature and bottlenecks control molecular transport in inverse bicontinuous cubic phases " published in The Journal of Chemical Physics was selected as 2018 Editors' choice !

**08 January 2019**

With the new year comes the beginning of a new startling experience as a Postdoctoral Researcher in the " Scanning Probe Microscopy Theory & Nanomechanics Group " at Universidad Autónoma de Madrid

### Research Interests

My research interests are quite heterogeneous, and span several fields. Click on an image or visit the "Research" tab to find out what I've been working on!### Research Interests

#### Lipidic Mesophases

Lipidic mesophases are interesting objects obtained by mixing water and lipids in suitable proportions.
Depending on the specific details of the lipids employed as well as on lipid concentration and temperature,
mesophases with different microscopic structures are obtained, including arrangements as hexagonal, lamellar and cubic phases.
Lipidic mesophases are at the center of intense research due to many different applications,
most of which are based on the molecular transport within these systems.
My research on the topic is focused on understanding the interplay between structure and transport,
with the goal of providing a reliable theoretical framework for devising related applications with tailored properties.

For example, in a paper we have provided the necessary theoretical framework to analyze the results of the so-called
diffusion setup. Comparison of the theoretical predictions against experimental data from systems with known features shows an excellent
quantitative agreement without any adjustable parameter, thus appointing our theory as a reliable tool for data analysis.

In another work, by combining theory and experiments we showed that polymer diffusion within
cubic mesophases can be regulated by as many as three different mechanisms, reminescent of Zimm, Rouse and reptation dynamics.

More recently, we have studied how the nanostructure of cubic phases affects diffusion by Brownian Dynamics simulations.
Our results show that the effective diffusion coefficient is regulated by a subtle interplay between curvature and bottlenecks of the network of water channels. Moreover, comparison
with experiments enables assessing the amount of immobilized water starting from the theoretical prediction. The results from this study can be used by experimental researchers to
estimate the diffusion coefficient of a molecule diffusing within a cubic phase of interest. To ease such application,
you can find here a tool that computes the effective diffusion coefficient
starting from the structural parameters of the cubic phase.

Lipidic Cubic Phases also provide good environments for enzymatic reactions. For example, we have studied how how the activity of the enzyme aldolase is enhanced when within a cubic phase and, based on the known structure of the enzyme and of mesophases, we suggested a microscopic picture of how such an enhancement can be achieved.

### Publication List

**Spatiotemporal Control of Enzyme‐Induced Crystallization Under Lyotropic Liquid Crystal Nanoconfinement**

J. J. Vallooran,**S. Assenza**and R. Mezzenga

Angew. Chem. Int. Ed. 58, 1 (2019)**Impact of Molecular Partitioning and Partial Equilibration on the Estimation of Diffusion Coefficients from Release Experiments**

R. Ghanbari,**S. Assenza***, P. Zueblin and R. Mezzenga

Langmuir 35, 5663 (2019) (***Co-first author**)**Soft biomimetic nanoconfinement promotes amorphous water over ice**

L. Salvati Manni,**S. Assenza***, M. Duss, J. J. Vallooran, F. Juranyi, S. Jurt, O. Zerbe, E. M. Landau and R. Mezzenga

Nat. Nanotec. xxxxxxx (2019) (***Co-first author**)**The interplay of channel geometry and molecular features determines diffusion in lipidic cubic phases**

R. Ghanbari,**S. Assenza**and R. Mezzenga

J. Chem. Phys. 150, 094901 (2019)**Confinement‐Induced Ordering and Self‐Folding of Cellulose Nanofibrils**

K. B. Smith, J.‐N. Tisserant,**S. Assenza**, M. Arcari, G. Nyström and R. Mezzenga

Adv. Sci. 6, 1801540 (2019)**Efficient Asymmetric Synthesis of Carbohydrates by Aldolase Nano-Confined in Lipidic Cubic Mesophases**

T. Zhou, J. J. Vallooran,**S. Assenza**, A. Szekrenyi, P. Clapés and R. Mezzenga

ACS Catal. 8, 5810 (2018)**Curvature and bottlenecks control molecular transport in inverse bicontinuous cubic phases**

**S. Assenza**and R. Mezzenga

J. Chem. Phys. 148,054902 (2018)**Shape of a Stretched Polymer**

A. S. Sassi,**S. Assenza***and P. De Los Rios

Phys. Rev. Lett. 119, 037801 (2017) (***Corresponding Author**)**Diffusion of Polymers through Periodic Networks of Lipid-Based Nanochannels**

R. Ghanbari,**S. Assenza***, A. Saha and R. Mezzenga

Langmuir 33,3491 (2017) (***Co-first author**)**Quantifying the transport properties of lipid mesophases by theoretical modelling of diffusion experiments**

L. M. Antognini,**S. Assenza**, C. Speziale and R. Mezzenga

J. Chem. Phys. 145,084903 (2016)**Quantifying the role of chaperones in protein translocation by computational modeling**

**S. Assenza***, P. De Los Rios and A. Barducci

Front. Mol. Biosci. 2,8 (2015) (***Corresponding Author**)**Universal Behavior in the Mesoscale Properties of Amyloid Fibrils**

**S. Assenza**, J. Adamcik, R. Mezzenga and P. De Los Rios

Phys. Rev. Lett. 113, 268103 (2014)**Emerging Meso- and Macroscales from Synchronization of Adaptive Networks**

R. Gutiérrez, A. Amann,**S. Assenza**, J. Gómez-Gardeñes, V. Latora, and S. Boccaletti

Phys. Rev. Lett. 107, 234103 (2011)**Emergence of structural patterns out of synchronization in networks with competitive interactions**

**S. Assenza**, R. Gutiérrez, J. Gómez-Gardeñes, V. Latora, and S. Boccaletti

Sci. Rep. 1,99 (2011)**Enhancement of cooperation in highly clustered scale-free networks**

**S. Assenza**, J. Gómez-Gardeñes and V. Latora

Phys. Rev. E 78,017101 (2008)

### Software Tools

###### Here you can find some tools I developed to facilitate analysis of experimental results on cubic phases. Click on the title of the tool to use it. The tools can be freely used, and relevant references are listed for each of them. Please cite the appropriate articles if you use the tools in your research!

_{0}) at a given temperature (T

_{0}, it can be different than the temperature used in the experiment with the cubic phase); the working temperature of the experiment (T

_{exp}); the thickness of the layer of "bound water" in proximity of the lipid heads (good values usually lie between 0.6 nm and 1.2 nm, corresponding to a layer thickness equal to roughly two and four water molecules respectively). The outputs of the tool are the total fraction of bound water x

_{b}(i.e. # of bound water molecules divided by total # of water molecules) and the effective diffusion coefficient D. The default input values correspond to glucose diffusion in a Pn3m cubic phase based on monolinolein at 37

^{o}C (Antognini et al.)

Relevant Literature:

- Assenza and Mezzenga, J. Chem. Phys. 148:054902 (2018)

- Antognini, Assenza, Speziale and Mezzenga, J. Chem. Phys. 145:084903 (2016)

##### Inputs

##### Results

_{b}

^{-5}cm

^{2}/s)