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Análisis de = la lipófilia de compuestos en el flujo de entrada al proceso de alquilación en refinería mediante química computaciona= l

 

Analysis of the lipophilicity of compounds in the refinery alkylation process upstream using computational chemistry

3D"Interfaz
=  


1

Carlos Jeanpier Yagos Arias

https://orcid.org/0009-0000-4978-2574<= o:p>

 

 

Universidad de las Fuerzas Armadas (ESPE)

= cjyagos@espe.edu.ec

2

Franklin Wladimir Espin Almachi

https://orcid.org/0009-0004-0152-7100<= o:p>

 

 

Investigador independiente

frank_2= 706@live.com

3

Sandra Elizabeth Travez Osorio

https://orcid.org/0000-0002-4546-4541<= o:p>

 

 

Investigador independiente

sandt197= @gmail.com

4

Alex Santiago Moreno Corrales

https://orcid.org/0009-0002-2284-3052

 

 

Investigador independiente 

asmoreno354@gmail.com

 

 

 

Artí= culo de Investigación Científica y Tecnológica=

Enviado: 15/04/2024

Revisado: 10/05/2024

Aceptado: 10/06/2024

Publicado:05/07/2024

DOI: https://doi.org/10.33262/= cienciadigital.v8i3.3080    <= /span>

 

 

 

 

 =

Cítese:

 

 

Yagos Arias, C. J., Espin Almachi, F. W., Travez Osorio, S. E., &a= mp; Moreno Corrales, A. S. (2024). Análisis de la lipófilia de compuestos en el flujo de entrada al proceso de alquilación en refinería mediante química computacional. Ciencia Digital, 8(3), 64-79. https://doi.org/10.33262/cienciadigital.v8i3.3080=

 

 

3Deditorial1.png<= /p>

 =

 

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Palabras claves:

lipófilia, alquilación, refinería, química computacional.

 

Resumen =

Introducci&oacut= e;n: La alquilación en refinerías es crucial para la producción de gasolina de alto octanaje con bajas emisiones, cumpliendo con requerimientos ambientales y exigencias de la industria automotriz actual. Este estudio provee datos obtenidos mediante análisis con química computacional de los compuestos químicos del flujo de entrada al proceso de alquilación en refinería, con lo cual se prevé mejorar significativamente = la calidad del combustible y la eficiencia del proceso. Objetivo: El objetivo de este estudio es analizar los valores= de lipófilia de los compuestos químicos del flujo de entrada al proceso de alquilación en refinería, los cuales son identificados a través de una exhaustiva búsqueda bibliográfica y analizados mediante química computacional utilizando los métodos iLOGP, XLOGP3, MLOGP, WLOGP y SILICOS-IT. Se busca entender cómo la lipófilia de estos compuestos influye en su comportamiento durante este proceso de refinado de crudo, con el fin de mejorar la eficiencia y selectividad de dicho proceso. Metodología: En este estudio se realizan observación, medición, experimentación e interpretación sistemática y rigur= osa de los resultados. Mediante análisis y búsqueda bibliográfica, se determinan los compuestos presentes en el flujo = de entrada al proceso de alquilación en refinería. Estos compuestos son procesados mediante química computacional para obte= ner los valores de lipófilia de cada molécula. Posteriormente, = se procede al análisis meticuloso de dichos valores y su influencia en las variables relevantes del proceso de refinado. Resultados: El Consensus Log Po/w combina métodos computacionales para estimar el Log Po/w de cada molécula, mejoran= do la precisión de las predicciones. Este estudio se centra en analiz= ar la lipófilia de compuestos en el flujo de entrada para la alquilación en refinería. El propileno presenta el menor va= lor, mientras que el n-pentano tiene el mayor. La lipófilia garantiza la solubilidad y eficiencia del proceso. Conclusiones: Las características lipofílicas en compuestos del flujo de entrada a la alquilación son cruciales en el refinado de crudo. La comprensión y predicción de la lipofilia pueden lograrse con métodos computacionales como iLOGP, XLOGP3, WLOGP, MLOGP y SILICOS= -IT. Los valores consensus de lipofilia oscilan entre 1.35 y 2.45, afectando la solubilidad en fases orgánicas y la interacción con catalizadores, lo que influye en la eficiencia y rendimiento de la alquil= ación en refinería.

 

 

Keywords:

lipophilicity, alkylation, refinery, computational chemistry.

 

= Abstract

Introduction: Refinery alkylation is crucial for the product= ion of high-octane gasoline with low emissions, meeting environmental requirements and demands of today's automotive industry. This study provi= des data obtained by computational chemistry analysis of the chemical compoun= ds in the refinery alkylation process input stream, which is expected to significantly improve fuel quality and process efficiency. Objective: The objective of this study is to analyse the lipophilicity values of chemical compounds in the refinery alkylation process input stream, which are identified through an exhaustive literature search and analysed by computational chemistry using the iLOGP, XLOGP3, MLOGP, WLOGP and SILICOS-IT methods. The aim is to understand how the lipophilicity of these compounds influences their behaviour during this crude oil refining process, in order to improve the efficiency and selectivity of this process. Methodology: In this study, observation, measurement, experimentation and systematic and rigorous interpretation of the results= are carried out. By means of analysis and bibliographic search, the compounds present in the input flow to the alkylation process in the refinery are determined. These compounds are processed by computational chemistry to obtain the lipophilicity values of each molecule. Subsequently, these val= ues and their influence on the relevant variables of the refining process are meticulously analysed. Results: Consensus Log Po/w combines computational methods to estimate the Log Po/w of each molecule, improving the accuracy of the predictions. This study focuses on analysing the lipophilicity of compounds in the inlet stream for refinery alkylation. Propylene has the lowest value, while n-pentane has the highe= st. Lipophilicity ensures the solubility and efficiency of the process. Conclusions: The lipophilic characteristics of compounds in the alkylation feed stream are crucial in crude oil refining. Understanding and predicting lipophilicity can be achieved with computational methods such as iLOGP, XLOGP3, WLOGP, MLOGP a= nd SILICOS-IT. Consensus values of lipophilicity range from 1.35 to 2.45, affecting solubility in organic phases and interaction with catalysts, wh= ich influences the efficiency and yield of alkylation in refinery.=

Introducción

La alquilación en refinerías es crucial para la industria automo= triz y sus partes interesadas, ya que este proceso tiene la capacidad de convert= ir hidrocarburos ligeros en alquilatos, componentes esenciales de la gasolina = de alto octanaje, como la gasolina premium. Este proceso mejora significativam= ente la calidad del combustible, aumentando su resistencia a la detonació= n y eficiencia. Además, los alquilatos tienen bajos niveles de compuestos aromáticos y olefínicos, reduciendo las emisiones contaminant= es y cumpliendo así con las demandas de motores modernos y regulaciones ambientales.

La motivaci&oacu= te;n de esta investigación radica en optimizar el proceso de alquilación para mejorar la eficiencia y calidad del producto final = en refinerías. Evaluar la lipofilia de los compuestos químicos es crucial, ya que la creciente demanda de combustibles limpios y eficientes, junto con estrictas regulaciones ambientales, requiere procesos refinados más efectivos. De modo que, el proceso de alquilación en refinería es esencial para producir gasolina de alto octanaje con ba= jas emisiones, cumpliendo con los requerimientos ambientales y las exigencias d= e la industria automotriz.

El objetivo de e= ste estudio es analizar los valores de lipofilia de los compuestos quími= cos del flujo de entrada al proceso de alquilación en refinería, = los cuales son identificados a través de una exhaustiva búsqueda bibliográfica y analizados mediante química computacional utilizando los métodos iLOGP, XLOGP3, MLOGP, WLOGP y SILICOS-IT. Se busca entender cómo la lipofilia de estos compuestos influye en su comportamiento durante este proceso de refinado de crudo, con el fin de mej= orar la eficiencia y selectividad de dicho proceso.

Este estudio busca contribuir al campo de la química computacional y la ingeniería de procesos, aportando conocimientos relevantes sobre la lipofilia de los compuestos químicos y su relación con el pro= ceso de alquilación en refinería. Los resultados presentados en es= ta investigación pueden tener implicaciones significativas en la optimización de este proceso industrial clave, así como en el diseño de compuestos químicos más eficaces para aplicaciones futuras en la industria del refinado de petróleo.<= /o:p>

Desarrollo

Petróleo

El petróleo, el hidrocarbu= ro más importante del mundo, no solo proporciona combustible y energía para el transporte, sino que también se utiliza en diversas industrias para la producción de plásticos, pinturas, fertilizantes, insecticidas y fármacos, entre otros (Ancheyta, 2011). Sus componentes principales son el hidrógeno y el carbono, y en meno= res cantidades contiene azufre, nitrógeno, oxígeno y metales. Este hidrocarburo, generalmente extraído desde las profundidades subterráneas, es de color negruzco y tiene un olor caracterís= tico, similar a sustancias químicas que contienen azufre, nitrógeno= y otros metales pesados (Kumar & Mohan, 2015). Tras su extracción,= el petróleo se separa de las impurezas, obteniéndose el crudo, q= ue finalmente se somete a refinación para obtener sus múltiples derivados.

Refinería

Una refinería es una instalación industrial donde se procesa el petróleo crudo para producir productos refinados como gasolina, diésel, queroseno, fuel oil, entre otros. El proceso implica una ser= ie de operaciones como destilación, craqueo, reformado y tratamiento químico para separar y transformar los componentes del petról= eo crudo en productos útiles y de mayor valor añadido (Ancheyta, 2011; Kumar & Mohan, 2015).

Proceso de Alquilación

Según Espin & Travez (2021), el proceso de alquilación implica la combinación de un hidrocarburo de cadena corta, como el propileno o = el butileno, con un hidrocarburo de cadena larga, como el isobutano, para form= ar un hidrocarburo más grande y ramificado, conocido como alquilato. Asimismo, para Shokri & Karimi (2021), la reacción se lleva a ca= bo en presencia de un catalizador ácido, como el ácido fluorhídrico (HF) o el ácido sulfúrico (H2SO4), a temperaturas y presiones específicas. La alquilación es un proceso fundamental en la refinería para mejorar la calidad de la gasolina.

¿Qué es un flujo de entrada?

Un flujo de entrada es la corriente de materiales que se introduce en el siste= ma para ser procesada. Estos materiales pueden ser materias primas, reactivos, solventes, catalizadores u otros compuestos necesarios para llevar a cabo l= as reacciones químicas deseadas. El flujo de entrada es una parte cruci= al del proceso químico, ya que determina la composición y las condiciones iniciales del sistema. Además, el control preciso del fl= ujo de entrada es importante para garantizar que se cumplan las condiciones óptimas de operación del proceso, como la relación estequiométrica de los reactivos, la temperatura, la presión y otros parámetros de proceso (Kumar & Mohan, 2015).

Química computacional

La química computacional es un campo de estudio que depende en gran med= ida de los datos experimentales producidos en un laboratorio tradicional. Consi= ste en utilizar ordenadores para convertir datos químicos, como reaccion= es químicas, compuestos, datos de actividad biológica, etc., en información y luego en conocimiento. Este proceso permite reducir co= stes y aumentar la eficacia de los procesos. Por ello, ha tenido un impacto significativo en la sociedad y ha dado lugar a un número creciente d= e aplicaciones que se refleja en un aumento de artículos y publicaciones científicas (Saldívar et al., 2023).

Lipofilia

La lipofilia es un factor crucial= en el diseño de compuestos químicos, sobre todo en relació= ;n con la solubilidad. La incorporación de grupos metilo aumenta significativamente la lipofilia de un compuesto. Esta característica= no solo es pertinente para los procesos de absorción que determinan las propiedades de los productos farmacéuticos, sino también para= la predicción de la permeabilidad (Espín & Trávez, 20= 21). Además, según Wang et al. (2019), es la propiedad de un compu= esto al disolverse en grasas, es crucial en el diseño de fármacos debido a su impacto en la solubilidad, la absorción y la permeabilid= ad. Se mide por el logaritmo de la relación de concentración entre n-octanol y agua (logP).

Por otro lado, Delgado C. et al. (2003) definen a la lipofilia como la afinidad de un compuesto quími= co por los solventes orgánicos, característica clave en muchos procesos industriales, incluyendo la alquilación en refinería= s. Las moléculas lipofílicas son generalmente no polares y tiend= en a disolverse mejor en medios no acuosos (Dhiman, N. et al., 2017). En este estudio se analiza mediante química computacional la lipofilia de las especies químicas halladas en el flujo de entrada al proceso de Alquilación en refinería que, según Espin & Travez (2021), se registra mediante búsqueda bibliográfica veinte compuestos químicos, presentados en la siguiente tabla. Los compuest= os químicos hallados, que forman parte del flujo de entrada al proceso = de alquilación de refinería, constatan de: alcanos saturados, alquenos con dos dobles enlaces conjugados, alquenos cíclicos, alque= nos con un doble enlace terminal, grupos metilos como sustituyentes, alquenos c= on doble enlace interno en configuración trans y cis. Cada compuesto químico encontrado se detalla en la siguiente tabla.

Metodología

La metodología para este estudio implica el análisis de documentos científicos, procedimientos, herramientas y técnicas utilizadas en la investigación científica en el campo de la química. Es= ta metodología incluye la observación, la medición, la experimentación e interpretación sistemática y riguros= a de los resultados. Es importante destacar que esta investigación científica es controlada, objetiva, rigurosa, sistemática e innovadora. Su objetivo es aportar conocimientos sobre la lipofilia y cómo esta influye en las variables más significativas del pro= ceso de alquilación en el refinado de crudo.

Procesamiento mediante química computacional

SwissADME (202= 4) es una plataforma en línea desarrollada por el Instituto Suizo de Bioinformática, que ofrece un análisis exhaustivo de propieda= des moleculares de compuestos químicos. Esta herramienta web calcula diversos parámetros, como la solubilidad, la lipofilia y la biodisponibilidad, utilizando el código de entrada molecular simplificado (SMILES) de una o varias moléculas. Los datos procesado= s se organizan de forma estructurada, asignando a cada molécula un título único. Los resultados se pueden exportar fácilm= ente en un formato compatible con Microsoft Excel (Daina et al., 2017).

Para el procesamiento en SwissADME, es necesario generar el código SMILES de cada especie química. ChemDraw (2024) es una suite de comunicación para la gestión, la elaboración de inform= es y la presentación de investigaciones en química. Es una herrami= enta que permite dibujar moléculas y, a partir de la creación de e= stas estructuras, facilita la obtención del código SMILES. Este código es fundamental para el análisis de química computacional en SwissADME.

En la siguiente tabla se proporciona el código SMILES de cada compuesto quími= co de manera computacional.

Tabla 1

Código SMILES de cada espe= cie química

Número

De molécula<= o:p>

Nomenclatura IUPAC=

Fórmula

 

Código SMILES

1

propano

C₃H₈

 

CCC

2

propileno

CH₂=3DCHCH₃

 

C=3DCC

3

isobutano

(CH₃)₃CH

 

CC(C)C

4

n-butano

CH₃CH₂CH₂CH₃<= /span>

 

CCCC

5

buteno

CH₂=3DCHCH₂CH₃

 

C=3DCCC

6

isopentano

(CH₃)₂CHCH₂CH₃

 

CCC(C)C

7

n-pentano

CH₃CH₂CH₂CH₂CH₃

 

CCCCC

8

3-metil-1-buteno

(CH₃)₂C=3DCHCH₃

 

C=3DCC(C)C

9

1-penteno

CH₂=3DCHCH₂CH₂CH₃

 

C=3DCCCC

10

2-metil-1-buteno

(CH₃) CHCH=3DCH₂

 

C=3DC(C)CC

 

Tabla 1

Código SMILES de cada espe= cie química (continuación)

Número<= /p>

De molécula

Nomenclatura IUPAC

Fórmula

 

Código SMILES

11

2-penteno

CH₃CH₂CH=3DCHCH₃

 

CC=3DCCC

12

2-metil-2-buteno

CH₃C(CH₃) =3DCHCH₃<= /span>

 

C/C(C)=3DC/C

13

ciclopenteno

3D"Forma

Descripción<= /span>

 

C1=3DCCCC1

14

2-metil-1,3-butadie= no

CH₂=3DC(CH₃)CH=3DCH₂

 

C=3DC(C)C=3DC

15

trans-1,3-pentadien= o

CH₃CH=3DCHCH=3DCH₂=

 

C=3DC/C=3DC/C

16

ciclopentadieno

3D"Forma

Descripción

 

C1=3DCC=3DCC1

17

isobuteno

CH₂=3DC(CH₃)CH₃

 

C=3DC(C)C

18

1,3-butadieno

CH₂=3DCHCH=3DCH₂

 

C=3DCC=3DC

19

trans-2-buteno

CH₃CH=3DCHCH₃

 

C/C=3DC/C

20

cis-2-buteno

CH₃CH=3DCHCH₃

 

C/C=3DC\C

Nota: Se presentan las especies químicas ha= lladas mediante búsqueda bibliografía del flujo de entrada al proces= o de Alquilación en refinería según (Espin & Travez, 20= 21).

Presentación de tablas de características lipofílicas de cada especie química

Una vez procesados los códigos SMILES de los compuestos químicos = en SwissADME, se obtienen los datos de lipofilia calculados a partir de varios métodos para estimar el coeficiente de partición octanol-agua (log P), los cuales son parámetros fisicoquímicos clave en el descubrimiento, diseño y desarrollo de fármacos (Daina et al., 2019). En cuanto al proceso de refinería de crudo para el proceso de alquilación, la lipofilia de una molécula relaciona la afinid= ad de un compuesto por solventes orgánicos. En alquilación, esto asegura la solubilidad y la eficiencia del proceso (Delgado et al., 2003).<= o:p>

 

Tabla = 2

Datos de liofilia para de los compuestos la corriente de entrada al proceso de alquilación

N&uacu= te;mero de molécula

1=

2=

3=

4=

5=

F&oacu= te;rmula empírica

C3H8

C3H6

C4H10<= o:p>

C4H10<= o:p>

C4H8

Log Po/w (iLOGP= ) 

1.71

1.57

1.91

1.94

1.78

Log Po/w (XLOGP= 3) 

1.84

1.44

2.09

2.89

2.40

Log Po/w (WLOGP= ) 

1.42

1.19

1.66

1.81

1.58

Log Po/w (MLOGP= ) 

2.28

2.13

2.73

2.73

2.58

Log Po/w (SILIC= OS-IT) 

0.45

0.44

0.72

0.89

0.89

Consensus Log Po/w&n= bsp;

1.54

1.35

1.82

2.05

1.85

N&uacu= te;mero de molécula

6=

7=

8=

9=

10

F&oacu= te;rmula empírica

C5H12<= o:p>

C5H12<= o:p>

C5H10<= o:p>

C5H10<= o:p>

C5H10<= o:p>

Log Po/w (iLOGP= ) 

2.11

2.18

2.04

2.02

2.01

Log Po/w (XLOGP= 3) 

2.64

3.39

2.20

2.41

2.49

Log Po/w (WLOGP= ) 

2.05

2.20

1.83

1.97

1.97

Log Po/w (MLOGP= ) 

3.14

3.14

2.99

2.99

2.99

Log Po/w (SILIC= OS-IT) 

1.17

1.34

1.16

1.33

1.17

Consensus Log Po/w&n= bsp;

2.22

2.45

2.04

2.14

2.13

N&uacu= te;mero de molécula

11

12

13

14

15

F&oacu= te;rmula empírica

C5H10<= o:p>

C5H10<= o:p>

C5H8

C5H8

C5H8

Log Po/w (iLOGP= ) 

2.08

2.01

1.80

1.86

1.94

Log Po/w (XLOGP= 3) 

2.10

2.67

1.92

2.42

2.40

Log Po/w (WLOGP= ) 

1.97

1.97

1.73

1.75

1.75

Log Po/w (MLOGP= ) 

2.99

2.99

2.60

1.97

1.97

Log Po/w (SILIC= OS-IT) 

1.16

1.00

2.00

1.17

1.15

Consensus Log Po/w&n= bsp;

2.06

2.13

2.01

1.83

1.84

N&uacu= te;mero de molécula

16

17

18

19

20

F&oacu= te;rmula empírica

C5H6

C4H8

C4H6

C4H8

C4H8

Log Po/w (iLOGP= ) 

1.65

1.79

1.68

1.83

1.79

Log Po/w (XLOGP= 3) 

1.84

2.06

1.99

2.33

2.33

Log Po/w (WLOGP= ) 

1.50

1.58

1.36

1.58

1.58

Log Po/w (MLOGP= ) 

1.58

2.58

1.56

2.58

2.58

Log Po/w (SILIC= OS-IT) 

1.59

0.73

0.88

0.71

0.71

Consensus Log Po/w&n= bsp;

1.63

1.75

1.49

1.81

1.80

Discusión y analisis de resultados

Para el análisis de lipofilia con Log Po/w (iLOGP), se tiene en cuenta que, según Daina et al. (2014), Log Po/w describe la distribución = de una sustancia entre octanol y agua, lo que indica su lipofilicidad y su relevancia en la farmacocinética. Mientras tanto, iLOGP corresponde = a la química computacional y predice el coeficiente de partición de manera precisa y eficiente. Es ampliamente utilizado en el diseño de fármacos y ayuda a comprender el comportamiento de nuevas moléculas.

La lipofilia, un factor crucial en el refinado de crudo influye significativamente en los procesos de alquilación, donde la interacción de moléc= ulas con componentes lipofílicos determina la eficiencia y selectividad de las reacciones químicas involucradas. El cálculo del Log Po/w (iLOGP) mediante la energía libre de solvatación en disolvent= es implícitos demuestra una fuerte correlación lineal con valores experimentales, estableciéndose como un predictor fiable de la hidrofobicidad y lipofilia de una molécula (Saha & Pal, 2017). E= n el contexto de la presente investigación, los valores reportados en la tabla 3 para propano y propileno, ambos con tres carbonos, son 1.71 y 1.57 respectivamente, sugiriendo que la lipofilia de estas moléculas indi= ca su afinidad por entornos lipofílicos, esencial para procesos de alquilación en refinerías.

El Log Po/w (XLO= GP3) es un algoritmo esencial para obtener un modelo aditivo atómico que = se complementa con varios factores como la contribución del i-és= imo tipo de átomo de la molécula, lo que ayuda a predecir el comp= ortamiento de la molécula como fármaco. Este modelo predictivo posee un rango de valoración sobre la propiedad de la lipoficidad entre -0.7 a 5.0, por lo que en base a los resultados obtenidos podemos predecir que tod= as las moléculas de la tabla 3 son biodisponibles por vía oral porque son demasiado flexibles y se consideran similares a un fármaco (Mannhold et al., 2019). Este enfoque ayuda a predecir el comportamiento de= la molécula no solo como fármaco, sino también en reaccio= nes de refinado, ya que las propiedades de lipofilia influyen en la biodisponibilidad y reactividad de los hidrocarburos.

El método= Log Po/w (WLOGP), basado en el sistema fragmentario de Wildman y Crippen, evalúa el comportamiento y las propiedades moleculares mediante 27 fragmentos y 7 descriptores topológicos. Este método híbrido proporciona información sobre la flexibilidad y polar= idad de las moléculas, fundamentales para el diseño y la optimización de procesos en la industria del refinado (Daina et al., 2017). Los valores obtenidos de +0.2 a +6.0 en la tabla 3 indican que estas moléculas son moderadamente polares y relativamente lipofílic= as, características esenciales para su eficiencia en reacciones de alquilación, donde una mayor lipofilia puede mejorar la solubilidad = de los hidrocarburos en fases orgánicas, facilitando la interacci&oacut= e;n con catalizadores y mejorando la selectividad del proceso (Wildman & Crippen, 1999; Daina & Zoete, 2016).

El Log Po/w (MLO= GP) evalúa la afinidad relativa de compuestos químicos en la fase lipídica en contraste con la fase acuosa. MLOGP es un método computacional de alta precisión y rapidez para la optimizació= n de la lipofilicidad en el desarrollo de nuevos agentes terapéuticos (Parveen & Alnoman, 2021), ya que está basado en la contribución de fragmentos para estimar el Log Po/w de una mol&eacut= e;cula. Con este enfoque, se descompone la estructura molecular en fragmentos específicos y se suman las contribuciones individuales de dichos fragmentos, proporcionando una predicción del Log Po/w (Mishra & Dahima, 2019).

De los compuestos químicos que forman parte de la corriente de entrada al proceso de alquilación en refinería, se han considerado rangos de lipofi= lia entre 1.35 y 1.8 para la absorción oral según Velmourougane (2024), correspondientes a valores de 1.58 para el ciclopentadieno y 1.56 p= ara el 1,3-butadieno. Log Po/w (SILICOS-IT) es una herramienta computacional que utiliza un método híbrido fragmental/topológico para calcular el Log Po/w de manera precisa, combinando la descomposición molecular y la información topológica para predecir la lipofi= lia y otras propiedades fisicoquímicas en compuestos químicos (Udugade et al., 2019), ayudando a predecir el comportamiento de nuevas sustancias en sistemas biológicos (Arias, 2002). El rango adecuado p= ara los niveles de lipofilia según este método puede variar dependiendo del contexto específico del proceso de refinación= . En la investigación farmacológica, un buen compuesto lipofílico tiene un Log Po/w mayor a 1 (Aleixandre & Puerro, 200= 9). Singh et al. (2024) sitúan los valores óptimos de lipofilia e= ntre 0.65 y 5.47.

Finalmente, el Consensus Log Po/w combina métodos computacionales como iLOGP, XLOGP= 3, WLOGP, MLOGP y SILICOS-IT para proporcionar una estimación robusta d= el Log Po/w de cada molécula, mejorando la precisión de las predicciones (Daina et al., 2017; Mansouri et al., 2018). Este estudio se enfoca en el análisis de lipofilia de compuestos químicos del flujo de entrada al proceso de alquilación en refinería, aunq= ue la evaluación de la lipofilia y otros parámetros fisicoquímicos son fundamentales en el diseño de fárma= cos (Mishra & Dahima, 2019). En el proceso de alquilación en refinería, la lipofilia puede asegurar la solubilidad y eficiencia d= el proceso (Sempere, 2020). Los compuestos alquilados, como los isoparafinos, = son esenciales para producir gasolina de alto octanaje (PennState College of Ea= rth and Mineral Sciences, 2024).

Los valores Consensus Log Po/w muestran que los alcanos de cadena larga tienden a ser m= enos lipofílicos que los de cadena corta debido a su mayor peso molecular= y menor solubilidad en lípidos (Mäki-Arvela et al., 2019). Por el= lo, los compuestos utilizados en la alquilación en refinería deben tener una lipofilia moderada a baja, como los presentados en este estudio.<= o:p>

CONCLUSIONES

·= ;      =    Estas características lipofílicas en compuestos químicos típicos del flujo de entrada a la alquilación son cruciales p= ara el proceso de refinado de crudo. La comprensión y predicción = de la lipofilia de las moléculas implicadas en estos procesos pueden ser realizadas con química computacional mediante los métodos iLO= GP, XLOGP3, WLOGP, MLOGP y SILICOS-IT. Como resultado, se halla que permiten optimizar las condiciones de refinado y maximizar la producción de compuestos deseados, producto de la alquilación en la industria del refinado de petróleo.

·         Para alquilació= ;n, las moléculas tienen valores consensus de lipófilia entre 1.3= 5 y 2.45, debido a que es más probable que se disuelvan en la fase orgánica, lo que es evidente en el coeficiente de partición más alto. Por lo tanto, los niveles de lipófilia de los compuestos químicos afectan directamente su capacidad para moverse e= ntre las fases acuosa y orgánica en el proceso de alquilación en refinería, lo que puede influir en la eficiencia y el rendimiento de este proceso de refinería. Además, afecta la formación= de productos deseados y la eficiencia global del proceso de alquilación. Los valores adecuados de lipófilia en los compuestos químicos= del flujo de entrada al proceso de alquilación pueden afectar su solubil= idad y la interacción con el catalizador ácido utilizado, ya sea H= F o H2SO4.<= /o:p>

Conflicto de intereses

No existe conflicto de intereses en relación con el artículo presentado.

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3Deditorial1.pngWildman, S. A., & Crippen, G. M. (1999). Prediction of physicochemical parameters by atomic contributions. Journal of chemical information and computer sciences, 39(5), 868-873. https://doi.org/10.1021/ci990307l

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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        =          Ciencia & Genética &= nbsp;                 Pági= na 64 | 79<= /o:p>

 

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