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Estudio de los factores determinantes para el desarrollo de sensores SERS efectivos y accesibles

Study of the determinants for the development of effective and accessible SERS sensors

Yulán Hernández= 1*, Angeline Saldaña1, Jorge Sifuentes1, Betty Galarreta1

1 Pontific= ia Universidad Católica del Perú, Departamento de Ciencias-Secci= ón Química, Lima, Perú

Recibido (Recieved= ): 16/10/2018              =         Aceptado (Accepted): 11/12/2018

RESUME= N

La nanotecnología ha aportado a la ciencia = un sinfín de herramientas para la mejora de los sistemas de detección, como es el caso de la espectroscop&i= acute;a Raman amplificada en superficie (SERS), que aum= enta en hasta 8-10 órdenes de magnitud las señales obtenidas media= nte la técnica tradicional. Sin embargo, su éxito depende del material y la morfología de las nanopartí= ;culas, así como de la adsorción de los analitos= sobre las mismas, aspectos que no siempre se tienen en cuenta a la hora de diseñar sensores. En este trabajo se ha explorado la influencia de e= stos factores mediante el uso de una molécula modelo, el azul de metileno (MB), y dos metabolitos del café, trigonelina y ácidos clorogénicos (CGAs), potenciales marcadores de calidad de este prod= ucto agropecuario tan importante en el Perú. Así, se ha determinad= o una mayor amplificación de las señales al emplear  nanoestructura= s de plata versus oro, debido a su mayor poder de dispersión, así como para triángulos versus esferas, por la distribución no homogénea del campo electromagnético. = Además, al analizar los dos metabolitos seleccionados, se ha observado como s&oacut= e;lo en uno de los dos casos se produce un aumento de las señales respectivas, lo cual demuestra que una adecuada interacción entre la molécula y el metal es esencial para evitar la limitación de algunos modos vibracionales. Por último,= en base a los resultados anteriores, se ha desarrollado un sensor rápid= o, sencillo y portátil para la cuantificación de trigonelina en solución, que podría ser implementado en control de calida= d de productos agropecuarios como el café.

Palabr= as Clave: SERS, nanopartículas, oro, plata, metabolitos, café

 

ABSTRACT<= /o:p>

 

Nanotechnology has provided en= dless tools to improve detection systems in the most diverse fields of science. O= ne of those tools is the development of surface enhanced Raman spectroscopy (S= ERS) that promotes the amplification in up to 8-10 orders of magnitude of the co= nventional Raman signals. However, the success of this analytical technique depends on= the core material of the nanoparticles, their morpho= logy and the adsorption pattern of the analytes on t= he metal surface, aspects that are not always considered when designing this t= ype of sensors. This work has focused on the effect of these features using a r= eference molecule such as methylene blue (MB) and two coffee metabolites, trigonelline and chlorogenic acids (CGAs), known as potential quality markers of this agricultural produ= ct so important in Peru. Herein, we report higher Raman signals when using sil= ver nanostructures over their gold homologues, due to their higher scattering cross-section, and nanotriangles over nanospheres, due to the non-homogeneous distribution = of the electromagnetic field. In addition, when the two coffee metabolites were evaluated, only one of them induced an increase of its respective signals, which proves the relevance of the interaction between the analysed molecule= and the metal to not hinder some of its vibrational modes. Lastly, these results have been taken into account for the development of a quick, easy and porta= ble sensor for the quantification of trigonelline in solution, which could be implemented in the quality control of some importa= nt agricultural products such as coffee.

Keywor= ds: SERS, nanoparticles, gold, silver, metabolites, coffee

 


1   &nb= sp;  INTRODUCCION

 

Desde que en 1959 Richard Feynman anunci= ara la gran importancia que adquirirían los materiales cuyas dimensiones fu= eran “un millón de veces más pequeñas que la cabeza d= e un alfiler” (1), y con el desarrollo de técnicas como la microscopía = de efecto túnel (STM) en los años 80, la na= nociencia y sus potenciales aplicaciones no han parado de crecer. Todo ello se debe a= que estos materiales presentan una serie de propiedades ópticas, magnéticas, electroquímicas, etc. muy distintas a las de sus = homólogos a nivel macroscópico, precisamente por sus minúsculas dimensiones, generalmente acotadas a 1-100 nm <= /span>(2,3).

Una de las ramas que se ha visto más favorecida con la gran expansión de los nanomateriales, es el d= esarrollo de sensores, ya que la versatilidad de estos sistemas en combinación= con las nuevas propiedades que presentan, ha fomentado la mejora de algunas técnicas analíticas tradicionales y la aparición de ot= ras nuevas, lo que ha permitido disminuir de manera muy notable los lími= tes de detección, manteniendo muy buenos valores de selectividad. Una de= las técnicas que más favorecida se ha visto es la espectroscopía Raman, ya que se trata de una técnica muy selectiva pero cuya baja sensibilidad ha limitado mucho su aplicació= n (4). Sin embargo, en 1974 Fleischmann (5) descubrió que al llevar a cabo el análisis de piridina sobre una superficie de plata, las señales Rama= n de la misma sufrían una gran amplificación. Tres años más tarde Albrecht (6) y Van Duyne (7) consiguieron interpretar correctamente el fenómeno observado= , lo cual se atribuye a las excepcionales propiedades ópticas que present= an las nanoestructuras de oro y plata. Estos estud= ios han dado lugar a lo que se conoce como espectroscop&ia= cute;a Raman amplificada en superficie o SERS (por sus siglas en inglés).

Las nanopartículas de metales nob= les como el oro (AuNPs) y la plata (AgNPs), presentan unas intensas bandas de extinción que se conocen como band= as de plasmón superficial localizado (LSPR)= (8). El ori= gen de estas se encuentra en las oscilaciones de la carga electrónica qu= e se dan en la superficie del metal, de tal forma que al ser irradiado a la frecuencia de resonancia, se produce un aumento del campo electromagn&eacut= e;tico. La especial relevancia en el caso de AuNPs y AgNPs es que la longitud de onda a la que aparecen es= tas bandas decae en la zona del visible-infrarrojo cercano, lo que aumenta su aplicabilidad y es la responsable de los colores tan intensos que presentan= . Además, la frecuencia de resonancia y la magnitud de la contribución de absorción o dispersión dependen de otros parámetros co= mo el material, el tamaño, la forma y el entorno de las nanopartículas, por lo que es posible seleccionar las nanoestructuras<= /span> más adecuadas para cada aplicación concreta.

Aunque la mayoría de trabajos utilizan n= anopartículas esféricas, dado que se tratan de estructuras isotrópicas, el campo electromagnético inducido en la partícula es uniforme a= lo largo de toda ella. En muchos de estos trabajos se aumenta la fuerza iónica del medio para inducir la agregación de las nanopartículas, ya que al reducir la distancia= entre ellas, se produce un solapamiento de los campos electromagnéticos en= esas zonas, denominadas hot spots, y en las cuales el increme= nto de las señales Raman alcanza valores máximos (9). Sin embargo, en el caso de nanopartícu= las anisotrópicas, como los triángulo= s, su inhomogeneidad en el espacio, provoca la desigual distribución del campo electromagnético en la superficie de la estructura, haciendo que existan hot spots que amplifiquen las señales sin necesidad de requerir un fenómeno= tan poco controlado como es la agregación de los sistemas.

Por otra parte, cabe destacar que se habla de dos factores que contribuyen al aumento de las señales Raman, por una parte el electromagnético ya explicado, y por otro, la transferencia electrónica que se puede producir entre la superficie = del metal y la molécula estudiada, siendo el más influyente el pr= imer factor (10). De hecho, según cómo se produzca la interacció= ;n analito-metal los cambios espectrales pueden ser muy notables, no sólo por efecto de la transferencia electrónica y aumento de las señales, sino porque algunos modos vibracionales pueden verse restringidos, lo cual tiene un efecto negativo en el proceso, viendo una reducción de la señal correspondiente.<= /span>

Por estos motivos, para este trabajo se han seleccionado nanoesferas de plata (AgNS) y de oro (AuNS) y nanotri&aacut= e;ngulos de oro (AuNT), a fin de evaluar tanto el materi= al como la morfología frente a las señales SERS de una molécula modelo como es el azul de metileno (MB). Asimismo, se ha estudiado la respuesta obtenida para dos metabolitos de café, trigonelina y ácidos clor= ogénicos, para ver la influencia de la interacción analit= o-nanopartícula puede llegar a tener en el aumento de las señales Raman. Finalmente, en base a estos resultados, se ha desarrollado un sensor de cuantificación de trigonelina, como pote= ncial marcador de calidad de un producto tan importante a nivel mundial como el café.

 

2   &nb= sp;  MATERIALES Y MÉTODOS

= &= nbsp;

Todos = los materiales fueron adquiridos en Sigma Aldrich (= St Louis, USA) y todas las soluciones se prepararon c= on agua MilliQ.

&= nbsp;

2.1 Síntesis de AuNS<= /o:p>

Se sintetizaron AuNS de 14±1 nm de acuerdo a lo descrito por Turkevich <= !--[if supportFields]>ADDIN CSL_CITAT= ION {"citationItems":[{"id":"ITEM-1","itemDa= ta":{"DOI":"10.1039/df9511100055","ISBN"= :"0366-9033","ISSN":"0366-9033","abstrac= t":"After a preliminary survey with the electron microscope of various preparations of colloidal gold, a study was made of the process of nucleation and growth in gold colloids. It was shown that nucleating agents may be identified with reducing agents which form a mixed polymer with chlorauric ion before the reduction to the nucleus takes place. It was also shown that the law of gro= wth is exponential. The average size, the deviation from the ...","author":[{"dropping-particle":"",&= quot;family":"Turkevich","given":"J",&qu= ot;non-dropping-particle":"","parse-names":false,&= quot;suffix":""},{"dropping-particle":""= ,"family":"Stevenson","given":"P C","non-dropping-particle":"","parse-names&qu= ot;:false,"suffix":""},{"dropping-particle":&= quot;","family":"Hillier","given":"= J","non-dropping-particle":"","parse-names&qu= ot;:false,"suffix":""}],"container-title":&qu= ot;Vol 11  P","id":"ITEM-1","issued":{"= date-parts":[["1951"]]},"page":"0-55",&q= uot;publisher":"The Royal Society of Chemistry","title":"A study of the nucleation and growth processes in the synthesis of colloidal gold // Discu= ss. Faraday Soc.","type":"article-journal","volum= e":"11"},"uris":["http://www.mendeley.com/doc= uments/?uuid=3De817ef0c-b3fe-4b4c-9ec5-9181bd3a59cd"]}],"mendeley= ":{"formattedCitation":"(11)","plainTextForma= ttedCitation":"(11)","previouslyFormattedCitation"= :"(11)"},"properties":{"noteIndex":0},"s= chema":"https://github.com/citation-style-language/schema/raw/mas= ter/csl-citation.json"}(11) y Fre= ns (12), mediante la reducci&oacut= e;n de una sal de oro con citrato sódico. Brevemente, en un balón= se añaden 508 µL de HAuCl4 50 mM<= /span> y 24 mL de agua, y se calienta la mezcla bajo r= eflujo y en agitación constante. Una vez en ebullición, se añ= ade 1 mL de citrato sódico 100 mM y se deja en agitación durante 30 minutos.

&= nbsp;

2.2 Síntesis de AgNS

De man= era análoga se prepararon AgNS de 40±= 7 nm según el método reportado por Lee-Meisel (13). Para ello, se calienta una solución 1 mM de AgNO3 bajo r= eflujo y en agitación constante, y al ebullir se añade 1 mL de citrato sódico dihidratado 34 mM. Tras 1= hora en ebullición, la mezcla se lleva a temperatura ambiente.

&= nbsp;

2.3 Síntesis y funcionalización de <= span class=3DSpellE>AuNT

La síntesis de AuNT de 52±16 nm de lado se llevó a cabo mediante el m&eacut= e;todo de Pelaz et al. (14) con ligeras modificaciones. En nuestro caso, se añaden 8.25 mL de Na2S2<= /sub>O3 0.5 mM con una bomba de jeringa (flujo 9 mL/min) sobre 5 mL de una solución de HAuCl4 2 mM, manteniendo una temperatura de 18-19°C. Tras 9 minutos en agitaci&oacut= e;n constante, se añade 1 mL de la soluci&oa= cute;n de Na2S2O3 y se deja en agitación durante 2 horas.

Para la determinación de trigonelina, los AuNTs fueron funcionalizados con ácido mercaptopropiónico (MPA) 46 µM en presencia de NaOH 4 mM. Tras 16 horas en agitación, se eliminó el exceso de MPA por centrifugación (AuNT@MPA).

&= nbsp;

2.4 Caracterización de las nanopartículas<= /o:p>

Todas = las nanopartículas preparadas fueron caracterizadas mediante espectroscopía UV-Vis-NIR (espectrofotómetro Genesys 10S, Thermo Scientific-USA) y microscopía electrónica de transmisión (microscopio LV= EM5, Delong Instruments-República Checa).

&= nbsp;

2.5 Análisis mediante SERS

Los análisis SERS con MB se llevaron a cabo utilizando dos espectr&oacut= e;metros Raman portátil (iRaman Plus, B&WTek – USA) con fuentes de excitación a 532 nm= y a 785 nm. En el caso de la fuente a 532 nm (10 s, 10 adq, 37 mW de potencia), se usó en combinación = con un microscopio y un objetivo 40x, depositando las muestras (sin tratar después de la síntesis) sobre un portamu= estras convencional de vidrio y secándolas sobre una placa calefactora. Con= la fuente de 785 nm (1 s AuNS= y AuNT/100 ms AgNS,= 10 adq, 277 mW de potencia),= los análisis se llevaron a cabo en solución y se utilizó u= n portacubetas proporcionado por la misma marca comerci= al. Salvo que se indique lo contrario, se diluyeron las nanopart= ículas 1:5, teniendo en cuenta que la concentración de AgNS es 1 nM (15), de A= uNS 12 nM (16) y de = AuNT se estima en 0,8 nM (asumiendo que todo el oro = se ha reducido y que el rendimiento es aprox. 70%) (14,17).

En el = caso de los análisis finales de trigonelina, = los ensayos se llevaron a cabo en solución, haciendo diluciones 1:5 de <= span class=3DSpellE>AuNT@MPA y utilizando la fuente de 785 nm (2 s, 10 adq, 110.8 mW). Los espectros fueron estudiados con OriginPro 2= 019, analizando la intensidad máxima entre 1005-1045 cm-1 (l&i= acute;nea base por el método de suavizado asimétrico de mínimos cuadrados).

&= nbsp;

3   &nb= sp;  RESULTADOS Y DISCUSIÓN

 

Se procedió a la preparación de los tres tipos de nanopartículas seleccionados mediante los métodos anteriormente descritos.

En el = caso de los AuNT, las condiciones de reacción fueron optimizadas para aumentar el rendimiento de nan= otriángulos cuya banda plasmónica se encuentra centr= ada en 780±30 nm.

En la = figura 1 se puede apreciar la caracterización de todas las nanopartículas mediante espectroscopía UV-Vis-NIR y microscopía electrónica de transmisión (TEM).

&= nbsp;

<= /o:p>

Figura 1. A) Espectro UV-Vis-NIR de las nanopar= tículas preparadas, y micrografías TEM de B) AgNS, C) AuNS y D) AuNT. Las escal= as representan B) y C) 50 nm y D) 100 nm.

 

3.1 Análisis de la influencia del material = y la forma en SERS con azul de metileno (MB)

Una vez obtenidas las nanoestructuras se procedió= ; a su análisis en presencia de MB como molécula modelo mediante espectroscopía SERS. En primer lugar, se utili= zó la fuente de 532 nm acoplada a un microscopio, = para ello se depositaron las nanopartículas correspondientes y después 3 µL de una solución 10 mM de MB. Tal y como se observa en la figura 2A, las = AgNS fueron las que indujeron un mayor aumento de las señales Raman seguidas por los AuNT y en último lugar las AuNS. De estos resultados, cabe destacar que la plata induce un mayor aumento de = las señales, lo cual se explica por su mayor poder de dispersión = de la luz, que fomenta un mayor aumento en el campo electromagnético localizado. Por otra parte, en cuanto a la forma, los = AuNT proporcionaron ligeramente mejores resultados que las = AuNS, debido a la presencia de hot spots sin necesidad de inducir agregación en el sistema.

   = ;   Estos resultados fueron confirmados en solución mediante el uso de la fuen= te Raman a 785 nm, ya que los resultados obtenidos fueron análogos a los descritos anteriormente (= figura 2B-D). Se probaron dos concentraciones distintas, 1 y 100 µM, confirm= ando lo descrito hasta el momento. Cabe destacar que a la vista de los resultados obtenidos para ambas estructuras de oro y teniendo en cuenta que la concentración de los AuNT se estima 15 v= eces menor que la de AuNS, se puede determinar que l= os primeros proporcionaron de nuevo mejores resultados lo que vuelve a demostr= ar la mayor efectividad de las nanoestructuras anisotrópicas como amplificadoras de la señal.

 

3.2 Análisis de la influencia de la adsorción con trigonelina y ácidos clorogénicos (CGAs)

 

   = ;   Una vez establecidos los parámetros más importantes, se decidió probar el efecto de la interacción analito-nanopartícula para el aumento de las señales Raman. Pa= ra ello, se decidió implementar los

 


Figura 2. Espectros Raman de MB en presencia y ausencia de A) diversos ti= pos de nanopartículas medido con fuente de 532 = nm; y B) AgNS,         =          C) AuNS y D) AuNT, med= ido con fuente de 785 nm.

 


TABLA 1. Bandas= de dispersión Raman de trigonelina (18) y CGAs (19) y sus correspondientes modos vibracionales.

 

= Trigonelina

CGAs

Modo vibracionala

Desplazamiento (cm-1)

Desplazamiento (cm-1)

^= 6;(CO2), ρ(Canillo-Ccarboxilo)

515<= o:p>

 

`= 1;(CO), β(COH), v(Canillo= Ccarboxilo)

757<= o:p>

 

v(Cmetil-N)

800<= o:p>

 

Fen<= /span>. [&= #969;(CH)]

 

815<= o:p>

Fen<= /span>. [&= #969;(CH)]

 

847<= o:p>

Cicl= . [υ(C O)]

 

856<= o:p>

Cicl= . [ν(C O)]

 

970<= o:p>

Cicl= . [ν(CO)]

 

980<= o:p>

v(C-= C)anillo,

v (C= -N)anillo

1034=

 

Cicl= . [<= span class=3DSpellE>δanillo]

 

1119=

Fen<= /span>. [δ(CH)]

 

1167=

Fen<= /span>. [δ(C CH)]

 

1206=

Fen<= /span>. [ν(C O)]

 

1244=

Fen<= /span>. [ρ(CH)]

 

1260=

Fen<= /span>. [ρ(CH)]

 

1277=

Fen<= /span>. [δ(OH)]

 

1285=

Fen<= /span>. [<= span class=3DSpellE>δanillo]

 

1342=

Cicl= . [&= #969;(CH)]

 

1367=

vas(COO-), v(CanilloCcarboxilo), ρ(CO2)

1384= w

 

Fen<= /span>. [<= span class=3DSpellE>νanillo]

 

1444=

v(C-= C)anillo,

v (C= -N)anillo

1597= , 1643

 

Fen<= /span>. [<= span class=3DSpellE>νanillo]

 

1605=

Et. [ν(C=3DC)]

 

1631=

v(C= =3DO)

1726=

 

&n= bsp;       a v–estiramiento, vas–estiramiento simétrico, δ-flexión, ρ–balanceo, β-flexión en el plano, ω–aleteo.

resultados anteriores en la detección de conocidos metabolitos de café, como trigonelina y CGAs. De esta forma, se pretendía evaluar que no todas las moléculas pueden ser analizadas mediante un mismo sistema debido a la influencia de la adsorción específica de cada analito. En primer lugar, se analizaron los espectros Raman= de cada una de las especies por separado para obtener las bandas más características en cada caso (Tabla 1).

Figura 3. Espectros Raman en presencia (línea sólida) y aus= encia (línea punteada) de AuNT para A) distint= as concentraciones de trigonelina y B) CGAs 10 mM.

   = ;   Llegados a este punto se analizaron diversas concentraciones de los metabolitos en presencia de AuNT (diluidos 1:10 tras la síntesis). Como se puede apreciar en la figura 3A, el aumento de la señal a         =   1034 cm-1 de la trigonelina es muy claro, permitiendo llegar a detectar hasta 500 µM del metabolito. Por el contrario, tal y como se ve en la figura 3B, en el caso de los CGAs el efecto es el contrario, ya que las bandas más intensas (1605 y 1631 cm-1), correspondientes al νanillo del grupo fenilo y a ν(C= =3DC) del grupo etilo, ven reducida su intensidad hasta llegar a desaparecer. Este efecto se debe a que la adsorción de los CGAs sobre los AuNT se produce a través del g= rupo fenilo, lo que limita la vibración del mismo, haciendo que su señal decaiga hasta casi desaparecer. Así se demuestra, la gr= an importancia de la adsorción de las moléculas a la hora de diseñar sensores SERS.

 

3.3  Cuantificación de trigonelina

 

   = ;   Una vez determinados los parámetros fundamentales para una cuantificación efectiva, se procedió al desarrollo de un sens= or para trigonelina, un metabolito del café seleccionado como potencial marcador de calidad de dicho producto A= DDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1"= ,"itemData":{"DOI":"10.1016/j.vibspec.2012.09.004&= quot;,"ISBN":"0924-2031","ISSN":"0924203= 1","abstract":"Surface-enhanced Raman scattering spectroscopy with a near-IR excitation (FT-SERS) and Ag nanoparticles and was used for the vibrational characterization of biologic= ally active nicotinamide (NA) and trigonelline (TR). The adsorption of these two molecules is studied here on the basis of the results obtained by varying p= H of the medium. An assignment of SERS bands of NA and TR was performed by the comparison of their Raman spectra in the solid state and the solutions, and supported by DFT modelling. We showed that nicotinamide adopts a tilted orientation of the ring in regard to the silver substrate and the amide gro= up does not participate in the adsorption. Trigonelline, on the other hand, do= es not show SER activity unless the carboxylic group is deprotonated, and accordingly, the adsorption on the Ag nanoparticles occurs via the deproton= ated site. The SERS profile of both molecules indicates that the enhancement of Raman signal appears mainly due to the long distance electromagnetic mechan= ism of the SERS phenomenon with some contribution of the charge-transfer effect= . ?? 2012 Elsevier B.V. All rights reserved.","author":[{"dr= opping-particle":"","family":"Jaworska",= "given":"Aleksandra","non-dropping-particle":= "","parse-names":false,"suffix":""}= ,{"dropping-particle":"","family":"Malek= ","given":"Kamilla","non-dropping-particle&qu= ot;:"","parse-names":false,"suffix":"&qu= ot;},{"dropping-particle":"","family":"M= arzec","given":"Katarzyna M.","non-dropping-particle":"","parse-names&q= uot;:false,"suffix":""},{"dropping-particle":= "","family":"Baranska","given":&quo= t;Malgorzata","non-dropping-particle":"","par= se-names":false,"suffix":""}],"container-titl= e":"Vibrational Spectroscopy","id":"ITEM-1","issued":{&q= uot;date-parts":[["2012","11","1"]]},&qu= ot;page":"469-476","publisher":"Elsevier"= ;,"title":"Nicotinamide and trigonelline studied with surface-enhanced FT-Raman spectroscopy","type":"article-journal","volum= e":"63"},"uris":["http://www.mendeley.com/doc= uments/?uuid=3Dbc22e792-0938-4007-b062-1692730203a7"]}],"mendeley= ":{"formattedCitation":"(18)","plainTextForma= ttedCitation":"(18)","previouslyFormattedCitation"= :"(18)"},"properties":{"noteIndex":0},"s= chema":"https://github.com/citation-style-language/schema/raw/mas= ter/csl-citation.json"}(18). Para maximizar la adsorción de la tri= gonelina sobre AuNT, estos se funci= onalizaron con MPA (AuNT@MPA) para favorecer la interacción electrostática entre ambas especies. Al analizar distintas concentraciones de trigonelina, se pu= do establecer una buena relación lineal entre la concentración observada y la intensidad de la señal observada a 1034 cm-1 (figura 4) llegando a un LOD de 0,122 mM (calcu= lado siguiendo el método de propagación de errores propuesto por L= ong et al.(20)), median= te un sencillo y rápido ensayo en solución.

Figura 4. Curva de calibración de trigonelina en soluci&oac= ute;n utilizando AuNT@MPA y espe= ctroscopía SERS. Cada punto representa el promedio de un mínimo de 2 medidas independientes.

 

4   &nb= sp; CONCLU= SIONES

&= nbsp;

Median= te la preparación de distintas nanopartículas<= /span> de oro y plata y su aplicación en SERS con distintas molécula= s, se ha podido determinar la gran influencia del material utilizado y la form= a de las nanoestructuras en el aumento de las señales. Así, la plata ha demostrado inducir mayores factores= de aumento debido a su mayor poder de dispersión, mientras que el uso d= e nanopartículas anisotr&oa= cute;picas también mejora las señales debido a la concentración d= el campo electromagnético en determinadas zonas.

Adem&a= acute;s, se ha demostrado, que no sólo son importantes estos factores para el éxito final de un sensor SERS, sino que la adsorción de cada molécula a analizar también es de gran importancia y, según el tipo de interacción que presente con el metal, las señales pueden verse amplificadas o inhibidas.

Por último, se ha utilizado toda esta información para el desarro= llo de un sensor SERS de trigonelina en soluci&oacu= te;n, que podría ser implementado en la industria del café. De esta forma, se dan las claves para el desarrollo de sensores rápidos y selectivos, mediante una técnica portátil y que no precisa de exhaustivos tratamientos previos. Todo ello puede contribuir a la mejora de= los controles de calidad de productos agropecuarios.

 

AGRADE= CIMIENTOS

&= nbsp;

   = ;   Este trabajo fue financiado por la Dirección de Gestión de la Investigación de la PUCP a través de las subvenciones DGI-2016-352 y DGI-2017-482.

 

REFERENCIAS

 

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[2] El-Sayed MA. 20= 01. Some interesting properties of etals confined in time and nanometer space of different shapes. Acc Chem Res. 34(4):25764.

[3] Whitesides GM. 2= 003. The “right” size in  nanobiotechnology. Nat Biotechnol. 21(10):11615.

[4] Cialla D, M&aum= l;rz A, Böhme R, Theil F, Weber K, Schmitt M, et al. 2012. Surface-enhanced Raman spectroscopy (SERS): Progress and trends. Anal Bioanal Chem. <= b>403(1):2754.

[5] Raman spectra of pyridine adsorbed at a silver electrode. Chem Phys Lett. 26(2):1636.

[6] Albrecht MG, Creighton JA. 1977. Anomalously Intense Raman Spectra of Pyridine at a Silv= er Electrode. J Am Chem Soc. 99(15):52157.

[7] Jeanmaire DL, V= an Duyne RP. 1977. Surface Raman spectroelectrochemistry: Part I. Heterocyclic, aromatic, and aliphatic amines adsorbed on the anodized silver electrode. <= i>J Electroanal Chem. 84(1):120.

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[9] Kleinman SL, Frontiera RR, Henry A-I, Dieringer JA, Van Duyne RP. 2013. Creating, characterizing, and controlling chemistry with SERS hot spots. Phys Chem Chem Phys. 15(1):2136.

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[15]Paramelle D, Sadovoy A, Gorelik S, Free P, Hobley J, Fernig DG. 2014. A rapid method to estimate the concentration of citrate capped silver nanoparticles from UV-visible light spectra. Analyst. 139(19):4855= 61.

[16] Haiss W, Thanh = NTK, Aveyard J, Fernig DG. 2007. Determination of size and concentration of gold nanoparticles from UV-Vis spectra. Anal Chem. 79(11):4215&= #8211;21.

[17] Liu X, Atwater = M, Wang J, Huo Q. 2007. Extinction coefficient of gold nanoparticles with different sizes and different capping ligands. Colloids Surfaces B Biointerfaces. 58(1):37.

[18]Jaworska A, Mal= ek K, Marzec KM, Baranska M. 2012. Nicotinamide and trigonelline studied with surface-enhanced FT-Raman spectroscopy. Vib Spectrosc. 63:469= 76.

[19] Eravuchira PJ, El-Abassy RM, Deshpande S, Matei MF, Mishra S, Tandon P, et al. 2012. Raman= spectroscopic characterization of different regioisomers of monoacyl and diacyl chlorogen= ic acid. Vib Spectrosc. 61:106. =

[20] Long GL, Winefordner JD. 1983. Limit of Detection. Anal Chem. 55(7):A7= 1224.

 


 

 

 

Los artículos publicados por TECNIA <= span class=3DSpellE>pueden ser compartidos a través de la li= cencia Creative Commons: CC BY 4.0 Perú. Permisos lejos de este alcance pueden ser consultados a través del corr= eo revistas@uni.edu.pe

 



* Corresponding author

E-mail: yhernandez@pucp.pe

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Y. Hernández et al.        =             &nb= sp;         =             &nb= sp;           =             &nb= sp;            =   Pag

doi: https://doi.org/10.21754/tecnia.v28i2.560        =             &nb= sp;               =       Revista TECNIA Vol. 28 Nº 1 Agosto – Diciembre 2018

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