Optical Fiber Biosensors with ZnO Nanowires and Nanoparticles of Fe3O4 and Au for Rapid Detection of Enrofloxacin Residues in Food

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10257498" target="_blank" >RIV/61989100:27240/24:10257498 - isvavai.cz</a>

Výsledek na webu

<a href="https://pubs.acs.org/doi/full/10.1021/acsanm.4c04045" target="_blank" >https://pubs.acs.org/doi/full/10.1021/acsanm.4c04045</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1021/acsanm.4c04045" target="_blank" >10.1021/acsanm.4c04045</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optical Fiber Biosensors with ZnO Nanowires and Nanoparticles of Fe3O4 and Au for Rapid Detection of Enrofloxacin Residues in Food

Popis výsledku v původním jazyce

In this paper, an enhanced optical fiber biosensor based on nanomaterials is proposed for the detection of enrofloxacin residues in food. Single mode fiber (SMF), multimode fiber (MMF), and four-core fiber (FCF) were fused to fabricate an SMF-MMF-FCF-MMF-SMF fiber structure. Then, a three times tapered (T3) optical fiber structure was fabricated on FCF. The WaveFlex fiber structure T3-SMF-MMF-FCF-MMF-SMF was fabricated. The optical fiber surface was modified with gold nanoparticles, zinc oxide nanowires (ZnO-NWs), and Fe3O4 and Au nanocomposites to stimulate and enhance the localized surface plasmon resonance (LSPR) effect. The enrofloxacin monoclonal antibody was fixed on the surface of the probe in order to achieve specific differentiation detection. The performance of the sensor was verified by testing 0-1000 mu g/mL enrofloxacin solutions. The sensitivity of the proposed sensor is 1.89 nm/ln (mu g/mL), with a detection limit (LoD) of 0.16 mu g/mL. In addition, the method has good reproducibility, reusability, repeatability, stability, and selectivity. It has also obtained promising results in real environment (milk, juice, pork, and chicken) tests and can be used for the detection of enrofloxacin in food.

Název v anglickém jazyce

Optical Fiber Biosensors with ZnO Nanowires and Nanoparticles of Fe3O4 and Au for Rapid Detection of Enrofloxacin Residues in Food

Popis výsledku anglicky

In this paper, an enhanced optical fiber biosensor based on nanomaterials is proposed for the detection of enrofloxacin residues in food. Single mode fiber (SMF), multimode fiber (MMF), and four-core fiber (FCF) were fused to fabricate an SMF-MMF-FCF-MMF-SMF fiber structure. Then, a three times tapered (T3) optical fiber structure was fabricated on FCF. The WaveFlex fiber structure T3-SMF-MMF-FCF-MMF-SMF was fabricated. The optical fiber surface was modified with gold nanoparticles, zinc oxide nanowires (ZnO-NWs), and Fe3O4 and Au nanocomposites to stimulate and enhance the localized surface plasmon resonance (LSPR) effect. The enrofloxacin monoclonal antibody was fixed on the surface of the probe in order to achieve specific differentiation detection. The performance of the sensor was verified by testing 0-1000 mu g/mL enrofloxacin solutions. The sensitivity of the proposed sensor is 1.89 nm/ln (mu g/mL), with a detection limit (LoD) of 0.16 mu g/mL. In addition, the method has good reproducibility, reusability, repeatability, stability, and selectivity. It has also obtained promising results in real environment (milk, juice, pork, and chicken) tests and can be used for the detection of enrofloxacin in food.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10306 - Optics (including laser optics and quantum optics)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

ACS Applied Nano Materials

ISSN

2574-0970

e-ISSN

2574-0970

Svazek periodika

7

Číslo periodika v rámci svazku

21

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

24417-24425

Kód UT WoS článku

001340164200001

EID výsledku v databázi Scopus

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