Surface-enhanced Raman spectroscopy (SERS) for the characterization of atmospheric aerosols: Current status and challenges

Li, Dongxian; Yue, Weisheng; Gao, Ping; Gong, Tiancheng; Wang, Changtao; Luo, Xiangang

doi:10.1016/j.trac.2023.117426

Cited by 6 publications

(2 citation statements)

References 90 publications

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“…Raman spectroscopy is a powerful label-free technique to identify molecules by measuring the vibrational and rotational character of their chemical bonds. SERS exploits the phenomenon of enhanced Raman scattering on the surface of plasmonic nanoparticles or nanostructures [17]. The SERS spectra of Tricholoma matsutakes samples were acquired by a laser SERS spectrometer (DXR532) with a 785 nm laser source equipped with a coupled device detector.…”

Section: Spectroscopy Data Acquisitionmentioning

confidence: 99%

Simultaneous Quantitative Determination of Low-Concentration Preservatives and Heavy Metals in Tricholoma Matsutakes Based on SERS and FLU Spectral Data Fusion

Jin,

Li,

Huang

et al. 2023

Foods

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As an ingredient of great economic value, Tricholoma matsutake has received widespread attention. However, heavy metal residues and preservatives in it will affect the quality of Tricholoma matsutake and endanger the health of consumers. Here, we present a method for the simultaneous detection of low concentrations of potassium sorbate and lead in Tricholoma matsutakes based on surface-enhanced Raman spectroscopy (SERS) and fluorescence (FLU) spectroscopy to test the safety of consumption. Data fusion strategies combined with multiple machine learning methods, including partial least-squares regression (PLSR), deep forest (DF) and convolutional neural networks (CNN) are used for model training. The results show that combined with reasonable band selection, the CNN prediction model based on decision-level fusion achieves the best performance, the correlation coefficients (R2) were increased to 0.9963 and 0.9934, and the root mean square errors (RMSE) were reduced to 0.0712 g·kg−1 and 0.0795 mg·kg−1, respectively. The method proposed in this paper accurately predicts preservatives and heavy metals remaining in Tricholoma matsutake and provides a reference for other food safety testing.

show abstract

Section: Spectroscopy Data Acquisitionmentioning

confidence: 99%

Simultaneous Quantitative Determination of Low-Concentration Preservatives and Heavy Metals in Tricholoma Matsutakes Based on SERS and FLU Spectral Data Fusion

Jin,

Li,

Huang

et al. 2023

Foods

View full text Add to dashboard Cite

show abstract

“…SERS, as an emerging technology with the ability to analyze chemical characteristics quickly and sensitively, has been widely used in the research fields of chemistry [ 25 , 26 , 27 , 28 ], biomedicine [ 29 ], food [ 30 ], environment [ 31 ], etc. These applications depend primarily on the unique features of the nanomaterials with distinctive component, structure, and assembly form [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

Galvanic-Replacement-Assisted Synthesis of Nanostructured Silver-Surface for SERS Characterization of Two-Dimensional Polymers

Zhao,

Tan,

Yang

et al. 2024

Sensors

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Surface-enhanced Raman scattering (SERS) spectroscopy is a powerful technology in trace analysis. However, the wide applications of SERS in practice are limited by the expensive substrate materials and the complicated preparation processes. Here we report a simple and economical galvanic-replacement-assisted synthesis route to prepare Ag nanoparticles on Cu(0) foil (nanoAg@Cu), which can be directly used as SERS substrate. The fabrication process is fast (ca. 10 min) and easily scaled up to centimeters or even larger. In addition, the morphology of the nanoAg@Cu (with Ag particles size from 30 nm to 160 nm) can be adjusted by various additives (e.g., amino-containing ligands). Finally, we show that the as-prepared nanoAg@Cu can be used for SERS characterization of two-dimensional polymers, and ca. 298 times relative enhancement of Raman intensity is achieved. This work offers a simple and economical strategy for the scalable fabrication of silver-based SERS substrate in thin film analysis.

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Recent Developments in MXene-Based Enzyme-Free Electrochemical Glucose Sensing

Le,

Cho

2024

BioChip J

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Surface-enhanced Raman spectroscopy (SERS) for the characterization of atmospheric aerosols: Current status and challenges

Cited by 6 publications

References 90 publications

Simultaneous Quantitative Determination of Low-Concentration Preservatives and Heavy Metals in Tricholoma Matsutakes Based on SERS and FLU Spectral Data Fusion

Simultaneous Quantitative Determination of Low-Concentration Preservatives and Heavy Metals in Tricholoma Matsutakes Based on SERS and FLU Spectral Data Fusion

Galvanic-Replacement-Assisted Synthesis of Nanostructured Silver-Surface for SERS Characterization of Two-Dimensional Polymers

Recent Developments in MXene-Based Enzyme-Free Electrochemical Glucose Sensing

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