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HAL Id: hal-02894658

https://hal.univ-angers.fr/hal-02894658

Submitted on 9 Jul 2020

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Phase segregation on electroactive mixed SAMs: a numerical approach for describing interactions

O. Alévêque, Pierre-Yves Blanchard, Tony Breton, M. Dias, Christelle Gautier, E. Levillain

To cite this version:

O. Alévêque, Pierre-Yves Blanchard, Tony Breton, M. Dias, Christelle Gautier, et al.. Phase segrega- tion on electroactive mixed SAMs: a numerical approach for describing interactions. The 61st Annual Meeting of the International Society of Electrochemistry, Sep 2010, NICE, France. �hal-02894658�

(2)

The Laviron's interaction model, dedicated to randomly distributed electroactive adsorbed species, was extended to a non-random distribution in order to extract the current–voltage characteristics from any surface distribution of electroactive centers on self-assembled monolayer (SAM). Confronted to electrochemical behaviour of nitroxyl radical SAMs, the agreement observed between theory and experiments provides evidence of a distribution independence of the interaction parameters.

Phase segregation on electroactive mixed SAMs:

a numerical approach for describing interactions

O. Alévêque, P.-Y. Blanchard, T. Breton, M. Dias, C. Gautier, E. Levillain

olivier.aleveque@univ-angers.fr

Laboratoire MOLTECH ANJOU - Université d’Angers - CNRS UMR6200 - 2, boulevard LAVOISIER - 49045 ANGERS Cedex - FRANCE

We generalized the LAVIRON’s interaction model by introducing the ɸ parameter calculated in the first step.

Generalization of Lateral Interaction Model for any surface distribution Nitroxyl radical self-assembled monolayers on gold

Application

C15-TEMPO Electroactive

C 10 SH

Non electroactive

Can we obtain informations about the surface distribution with the shape of cyclic voltammograms ? Surface distribution is controlled by several factors

like the elaboration protocol and the binary used

0.3 0.4 0.5 0.6 0.7

-20 -15 -10 -5 0 5 10 15 20

I /  A

E / V(AgAgNO

3

)

N OH

N O

N O e-

e- e-, H+

e-, H+ N

OH

N O

N O e-

e- e-, H+

e-, H+

+ e

-

Random distribution Phase segregation

For a fast reversible system (k s = ∞),

the i-E characteristics can be expressed as : CNT model

RND model

FIRST STEP : NUMERICAL MODEL

Generation of two surface distributions with two numerical models simulating the phase of adsorption :

• A "constraint" model (CNT) which simulates preferential adsorption of a molecule in interaction with a similar molecule.

• A "random" model (RND) which simulates the absence of interaction between molecules.

ɸ is representative of lateral interactions per electroactive site.

q is the normalized surface coverage of electroactive species

For a given q T matrix image, with random (RND) or non random (CNT) distribution, and initially composed of R species (q R = q T ), we :

• simulate an oxidation process (left)

• follow the interactions between redox species (right) (here f OO (q O ,q T ) for q T = 50%).

SECOND STEP : GENERALIZATION OF THE MODEL

In both models, numerical simulations exhibited a linear dependence of f ij (q O , q T ), leading to :

For a random distribution :

In order to test this new model, we elaborate C15-TEMPO mixed SAMs using two protocols leading to two surface distributions.

Successive adsorptions of C15-TEMPO and C 10 SH Favors random distribution

Partial desorption of a densely packed SAM of C15-TEMPO under ultrasonication Favors surface segregation

The 61st Annual Meeting of the International Society of Electrochemistry

September 26th - October 1st, 2010, Nice, France

G = 1.13 S = 1.14 G = 1.13 S = 1.19

Distribution independence of G and S parameters. The surface distribution ɸ can be deduced with the shape of cyclic voltammograms.

0 '

p T T

E ( ) E RT

n ( )

F S

q   f q

 

2 2

max T

T T

p

n F vA i ( )

RT 2 2 G ( )

 q

q   f q

 

T T

RT 3 2

FWHM( ) 2ln 2 2 3

n G

F ( )

2

 

q    f q 

 

OO RR OR RO OO RR OR RO

G S

with = a + a - a - a and = a - a + a - a

T

ij O T j

T

( )

( , ) N N the maximum possible neighbors

with

i and j are species O or R f q q  f q q

q

 

T T

ij O T j j j

T T

N

RND

( ) N

( , ) f q q N

f q q  q q q

q  q 

 

 

0

0

O O R

T T

s max

1

R R O

T T

T

OO OR

RR RO

T T

O O

max '

T

'

(t) exp 2 (t) 2 (t)

i t nFAk

(t) exp 2 (t) 2 (t)

d d

i t nFA nFA

dt dt

E - E

where exp

( ) (

nF and E

a a

RT E

)

( ) (

a a )





f q f q

f q f q

    

q   q  q

    q q   

    

  

    

  q    q q  q q  

    

  q

   



 

 

  

 

 

O 0

R 0 '

s

b - RT ln

nF b

and n, F, A, R, k , T, E have their usual meanings.

 

 

 

OO RR O

O R

T O R

R RO

and , normalized surface coverage of oxidized and reduced species = + , normalized surface coverage

and are the interaction constants between molecules of O

a , a , a

, molec a

ules of

q q

q q q

i

T

R and molecules of O and R respectively.

a is positive for an attraction and negative for a repulsion.

The a values are assumed to be independent of the potential.

, "segregation factor", is

( ) rep r

f q esentative of the average

number of lateral interactions per electroactive site

T R D

T N

( )  q  f

f q

T T

T T

T

0.4 4

exp 1.44

1 1

( )

 

     

       

    

q

f q q

q  q

References :

1] Aleveque O., Seladji F., Gautier C., Dias M., Breton T., Levillain E., Chemphyschem, 2009, 10, (14), 2401-2404. 2] Aleveque O., Blanchard P. Y., Breton T., Dias M., Gautier C., Levillain E., Seladji F., Electrochemistry Communications, 2009, 11, (9), 1776-1780.

3] Gautier C., Aleveque O., Seladji F., Dias M., Breton T., Levillai, E., Electrochemistry Communications, 2010, 12, (1), 79-82. 4] Alévêque O., Gautier C., Dias M., Breton T., Levillain E., Phys. Chem. Chem. Phys., 2010, DOI: 10.1039/C0CP00085J..

5] Alévêque O., Blanchard P.-Y., Gautier C., Dias M., Breton T., Levillain E., Electrochemistry Communications, 2010, DOI: 10.1016/j.elecom.2010.07.039

Reduced species

Oxidized species CNT

model

RND

model

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