Gold nanoparticles-based SERS nanosensor for thiram and chloramphenicol monitoring in food samples: Insight into effects of analyte molecular structure on their sensing performance and signal enhancement

Nguyen, Ha Anh; Doan, Mai Quan; Dinh, Ngo Xuan; Huy, Trần Quang; Tri, Doan Quang; Le, Anh‐Tuan

doi:10.1016/j.apsusc.2022.152555

Cited by 30 publications

(24 citation statements)

References 31 publications

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“…In a previous study, we reported that analyte molecular structure had great effects on its adsorption on the NP surface and the nanogaps between them, which was known as one of the decisive factors for SERS detection . As a result, analyte molecular structure could influence SERS performance.…”

Section: Resultsmentioning

confidence: 99%

“…The adsorption ability of organic compounds on the surface of plasmonic nanoparticles could be investigated using the absorption spectra of nanoparticle solutions in the presence of analytes, as described in our previous study. It was reported that the level of adsorption of analytes on the nanoparticle surface was responsible for the level of decrease in the absorption intensity of nanoparticle solutions Figure b,c shows the absorption spectra of e-AgNPs in the presence of AMX and CAP at varied concentrations.…”

Section: Resultsmentioning

confidence: 99%

“…The study indicated that light excitation has impacts on not only the electromagnetic field around the excited silver nanoparticles (AgNPs) but also the charge transfer process via CM between the analyte and the metallic surface . Besides, another factor, substrate surface oxidation, was reported to reduce SERS performance in both CM and EM. , In addition, analyte molecular structure can also influence the performance of an SERS sensor as a bulky structure and large steric hindrance might limit chemical and electromagnetic enhancements …”

Section: Introductionmentioning

confidence: 99%

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Silver Nanoparticles-Based SERS Platform towards Detecting Chloramphenicol and Amoxicillin: An Experimental Insight into the Role of HOMO–LUMO Energy Levels of the Analyte in the SERS Signal and Charge Transfer Process

et al. 2022

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Great influences of the lowest unoccupied molecular orbital (LUMO) and highest occupied molecular orbital (HOMO) energy levels of the analyte and their alignments compared to the Fermi level of the substrate on the charge transfer (CT) process, and consequently, on the surface-enhanced Raman scattering (SERS) phenomenon have been described via theoretical calculations. To provide experimental evidence, in this study, two antibiotics, chloramphenicol (CAP) and amoxicillin (AMX), were investigated as analytes in SERS sensors based on electrochemically synthesized colloidal silver nanoparticles (e-AgNPs) as the substrate. Despite the same experimental condition, similarities in analyte structure, and in the ability of absorbing onto e-AgNPs, the detection of the two antibiotics showed obvious distinction. While CAP was able to be detected using e-AgNP-based SERS sensors at concentrations down to 1.2 × 10 −9 M, there were no characteristic peaks observed in the SERS spectra of AMX even at a high concentration of 10 −3 M. The LUMO and HOMO energy levels of the two analytes were measured using electrochemical cyclic voltammetry. The obtained results showed that the LUMO levels of both analytes were higher than the Fermi level of Ag, and the LUMO level of AMX was higher than that of CAP. The larger gap between the LUMO level of AMX and the Fermi level of Ag might have prevented the metal-to-molecule CT process, which is related to the Raman signal enhancement in both chemical and electromagnetic mechanisms. In contrast, the smaller energy gap in the case of CAP might have allowed the transfer of hot electrons from the Fermi level of the e-AgNPs to the LUMO level of the analyte. Therefore, CAP could experience an SERS effect on the e-AgNPs under the excitation of a 785 nm laser source, while AMX could not. The hypothesis was then confirmed using three other organic compounds, including furazolidone, 4-nitrophenol, and tricyclazole. The results revealed a clear correlation between the LUMO level of the analytes and their SERS signals.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Silver Nanoparticles-Based SERS Platform towards Detecting Chloramphenicol and Amoxicillin: An Experimental Insight into the Role of HOMO–LUMO Energy Levels of the Analyte in the SERS Signal and Charge Transfer Process

et al. 2022

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“…Anisotropic AuNPs, such as nanostars, nanorods, have been synthesized and employed as SERS materials, leading to signicant enhancement in SERS signal. 112,113 Besides, hot-spots could be also created between isotropic AuNPs by self-assembly 114 or polymer assisted assembly 115 on the substrates, or even the targets themselves. 116 In a strategy of hot-spots modulation, hot-spots are created or destroyed by the target elements themselves, consequently, SERS-based sensors are generated via either "turn-on" or "turnoff" mechanisms.…”

Section: Glucosementioning

confidence: 99%

“…Anisotropic AuNPs, such as nanostars, nanorods, have been synthesized and employed as SERS materials, leading to significant enhancement in SERS signal. 112,113 Besides, hot-spots could be also created between isotropic AuNPs by self-assembly 114 or polymer assisted assembly 115 on the substrates, or even the targets themselves. 116…”

Section: Gold Nanoparticlesmentioning

confidence: 99%

Gold nanoparticle-based optical nanosensors for food and health safety monitoring: recent advances and future perspectives

et al. 2022

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Fabrication of molecularly imprinted cotton fibers for quantification of streptomycin in honey samples

Zengi̇n

Badak

Bilici

et al. 2023

J of Applied Polymer Sci

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Streptomycin is a type of aminoglycoside used in treatment of several infections and with serious side effects in humans and animals, such as ototoxicity and nephrotoxicity. In the present study, we focused on the preparation of streptomycin‐imprinted cotton fiber for rapid, sensitive and selective quantification of streptomycin in honey samples. The imprinted cotton fibers were characterized by attenuated total reflectance‐Fourier transform spectroscopy, scanning electron microscopy, and x‐ray photoelectron spectroscopy. In addition, the imprinted cotton fibers showed high adsorption capacity (95.4 mg/g) with an imprinting factor of 3.69 and had satisfactory regeneration ability of up to 10 regenerations without significant change in adsorption capacity. The imprinted cotton fibers showed good linearity with a correlation coefficient of 0.9989 and limit of detection was determined to be 0.29 ng/mL for streptomycin in honey samples. The proposed method showed acceptable recovery ranges (98.0%–100.3%) with lower inter‐day and intra‐day precisions. Moreover, the performance of the proposed method was compared to the ELISA method. The results showed that the present method is as sensitive and selective as ELISA. It is concluded that the imprinted cotton fibers could be a potential alternative to antibiotic quantification based on traditional immunoassays or chromatographic techniques.

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Gold nanoparticles-based SERS nanosensor for thiram and chloramphenicol monitoring in food samples: Insight into effects of analyte molecular structure on their sensing performance and signal enhancement

Cited by 30 publications

References 31 publications

Silver Nanoparticles-Based SERS Platform towards Detecting Chloramphenicol and Amoxicillin: An Experimental Insight into the Role of HOMO–LUMO Energy Levels of the Analyte in the SERS Signal and Charge Transfer Process

Silver Nanoparticles-Based SERS Platform towards Detecting Chloramphenicol and Amoxicillin: An Experimental Insight into the Role of HOMO–LUMO Energy Levels of the Analyte in the SERS Signal and Charge Transfer Process

Gold nanoparticle-based optical nanosensors for food and health safety monitoring: recent advances and future perspectives

Fabrication of molecularly imprinted cotton fibers for quantification of streptomycin in honey samples

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