Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(8)
Published: July 6, 2024
Language: Английский
Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(8)
Published: July 6, 2024
Language: Английский
Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal Year: 2024, Volume and Issue: 702, P. 135159 - 135159
Published: Aug. 23, 2024
Language: Английский
Citations
3Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 422, P. 136684 - 136684
Published: Sept. 25, 2024
Language: Английский
Citations
2Food Chemistry, Journal Year: 2024, Volume and Issue: 464, P. 141935 - 141935
Published: Nov. 5, 2024
Language: Английский
Citations
2Nano Letters, Journal Year: 2024, Volume and Issue: 24(37), P. 11683 - 11689
Published: Sept. 3, 2024
Beyond noble metals and semiconductors, quasi-metals have recently been shown to be noteworthy substrates for surface enhanced Raman spectroscopy, their excellent quasi-metal surface-enhanced spectroscopy (SERS) sensing has demonstrated a wider range of application scenarios. However, the underlying mechanism behind activity is still unclear. Here, we demonstrate that hydroxyls play crucial role in enhancement SERS nanostructures. As demonstration material, quasi-metallic MoO
Language: Английский
Citations
1Analytica Chimica Acta, Journal Year: 2024, Volume and Issue: 1332, P. 343359 - 343359
Published: Oct. 23, 2024
Language: Английский
Citations
1ACS Sensors, Journal Year: 2024, Volume and Issue: 9(11), P. 5999 - 6010
Published: Oct. 18, 2024
Label-free surface-enhanced Raman spectroscopy (SERS) is capable of capturing rich compositional information from complex biosamples by providing vibrational spectra that are crucial for biosample identification. However, increasing complexity and subtle variations in biological media can diminish the discrimination accuracy traditional SERS excited a single laser wavelength. Herein, we introduce multiwavelength approach combined with machine learning (ML)-based classification to improve human urine specimens bladder cancer (BCa) diagnosis. This strategy leverages excitation-wavelength-dependent spectral profiles matrices, which mainly attributed wavelength-related changes individual analytes differences variation ratios intensity across different wavelengths among various analytes. By fingerprints under multiple excitation wavelengths, acquire more comprehensive unique chemical on samples. Further experimental examinations clinical specimens, supported ML algorithms, demonstrate effectiveness this diagnostic BCa staging its invasion numbers wavelengths. The holds promise as convenient, cost-effective, broadly applicable technique precise identification matrices diagnosis diseases based body fluids.
Language: Английский
Citations
1Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(8)
Published: July 6, 2024
Language: Английский
Citations
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