Quantitative determination of ametryn in river water using surface-enhanced Raman spectroscopy coupled with an advanced chemometric model

Chen, Yao; Chen, Zengping; Jin, Jing-Wen; Yu, Ru‐Qin

doi:10.1016/j.chemolab.2015.01.012

Cited by 26 publications

(16 citation statements)

References 28 publications

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“…MEMSERS has been recently proposed to improve quantitative analysis by taking into consideration various experimental factors, such as the properties of a SERS substrate, excitation laser power, the focus position, and SERS signal strength. 22,23 The quantitative performance of the MEMSERS model may be evaluated in terms of absolute relative percentage error (ARPE): where c i, 1 and ˆ, c i 1 are the actual and predicted concentrations of the analyte of interest in the ith test sample, respectively and N is the number of test samples.…”

Section: Quantitative Analysis Of Sersmentioning

confidence: 99%

“…Furthermore, this study attempted to improve the accuracy and precision of the quantitative analysis of SERS assays with a multiplicative effects model for surfaceenhanced Raman spectroscopy (MEMSERS). 22,23 We expect this research to provide new insights into the sensitive and fast quantitative analysis of DA.…”

Section: Introductionmentioning

confidence: 99%

“…where R is the ideal gas constant and T is the temperature. MEMSERS was used for the subsequent quantitative analysis: 22,23…”

mentioning

confidence: 99%

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Sensitive determination of dopamine levels via surface-enhanced Raman scattering of Ag nanoparticle dimers

Yu¹,

He²,

Yang³

et al. 2018

IJN

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BackgroundDopamine (DA) is an important neurotransmitter in the hypothalamus and pituitary gland, which can produce a direct influence on mammals’ emotions in midbrain. Additionally, the level of DA is highly related with some important neurologic diseases such as schizophrenia, Parkinson, and Huntington’s diseases, etc. In light of the important roles that DA plays in the disease modulation, it is of considerable significance to develop a sensitive and reproducible approach for monitoring DA.PurposeThe objective of this study was to develop an efficient approach to quantitatively monitor the level of DA using Ag nanoparticle (NP) dimers and enhanced Raman spectroscopy.MethodsAg NP dimers were synthesized for the sensitive detection of DA via surface-enhanced Raman scattering (SERS). Citrate was used as both the capping agent of NPs and sensing agent to DA, which is self-assembled on the surface of Ag NP dimers by reacting with the surface carboxyl group to form a stable amide bond. To improve accuracy and precision, the multiplicative effects model for surface-enhanced Raman spectroscopy was utilized to analyze the SERS assays.ResultsA low limits of detection (LOD) of 20 pM and a wide linear response range from 30 pM to 300 nM were obtained for DA quantitative detection. The SERS enhancement factor was theoretically valued at approximately 107 by discrete dipole approximation. DA was self-assembled on the citrate capped surface of Ag NPs dimers through the amide bond. The adsorption energy was estimated to be 256 KJ/mol using the Langmuir isotherm model. The density functional theory was used to simulate the spectral characteristics of SERS during the adsorption of DA on the surface of the Ag dimers. Furthermore, to improve the accuracy and precision of quantitative analysis of SERS assays with a multiplicative effects model for surface-enhanced Raman spectroscopy.ConclusionA LOD of 20 pM DA-level was obtained, and the linear response ranged from 30 pM to 300 nM for quantitative DA detection. The absolute relative percentage error was 4.22% between the real and predicted DA concentrations. This detection scheme is expected to have good applications in the prevention and diagnosis of certain diseases caused by disorders in the DA level.

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Section: Quantitative Analysis Of Sersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sensitive determination of dopamine levels via surface-enhanced Raman scattering of Ag nanoparticle dimers

Yu¹,

He²,

Yang³

et al. 2018

IJN

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“…The SSD has been extended to address the predictive precision problem of quantitative SERS assays caused by the irreproducibility of enhancing substrates as well as variations in the intensity and alignment/focusing of laser excitation source . Under the guidance of SSD, 3 SERS detection modes were designed, ie, internal standard addition detection mode, internal standard tagging detection mode, and generalized ratiometric SERS indictor based detection mode . The internal standard addition detection mode and internal standard tagging detection mode based on SSD are distinctly different from conventional internal standard methods adopted in SERS assays.…”

Section: Applications Of Ssd In Quantitative Analysis Of Complex Systemsmentioning

confidence: 99%

“…The SSD in combination with each of the above 3 detection modes can explicitly account for the confounding effects on SERS signals caused by variations in the physical properties of enhancing substrates and the intensity and alignment/focusing of laser excitation source. The SSD has been applied to the quantitative analysis of several complex systems such as malachite green, thiram, ametryn, and Cd 2+ in environmental water samples, 6‐mercaptopurine in plasma samples, and captopril in both tablet samples and plasma samples, and achieved quite satisfactory results with average relative predictive errors less than 10%. These results demonstrated that SSD has general applicability and possess great application potential in quantitative SERS analysis of complex chemical and biologic systems.…”

Section: Applications Of Ssd In Quantitative Analysis Of Complex Systemsmentioning

confidence: 99%

Quantitative analysis based on spectral shape deformation: A review of the theory and its applications

Chen

Xiong

Zuo

et al. 2017

Journal of Chemometrics

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Most of the commonly used calibration methods in quantitative spectroscopic analysis are established or derived from the assumption of a linear relationship between the concentrations of the analytes of interest and corresponding absolute spectral intensities. They are not applicable for heterogeneous samples where the potential uncontrolled variations in optical path length due to the changes in samples' physical properties undermine the basic assumption behind them. About a decade ago, a unique calibration strategy was proposed to extract chemical information from spectral data contaminated with multiplicative light scattering effects. From then on, this calibration strategy has been attentively examined, modified, and used by its developers. After more than 10 years of development, some important features of the calibration strategy have been identified. It has been proved that the calibration strategy can solve many complex problems in quantitative spectroscopic analysis. But, because of the relatively low awareness of the calibration strategy among chemometrics society, its potential has not been fully exploited yet. This paper reviews the theory of the calibration strategy and its applications with a view to introducing the unique and powerful calibration strategy to a wider audience.

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Quantitation of cobalt in Chinese tea by surface‐enhanced Raman spectroscopy in combination with the spectral shape deformation quantitative theory

Liu

Chen

Shi

et al. 2018

J Raman Spectroscopy

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A surface-enhanced Raman spectroscopy (SERS) method for the quantification of Co 2+ in Chinese tea was developed in this contribution. SERS-enhancing substrates with a high selectivity for Co 2+ were prepared by attaching 2-(bis (pyridin-2-ylmethyl)amino)ethane-1-thiol onto the surfaces of Ag nanoparticles. A calibration model based on the spectral shape deformation quantitative theory was derived to address the poor reproducibility problem in SERS assays due to the practical impossibility in controlling the number and distribution of "hot spots" on or close to the surface of enhancing substrates. The proposed SERS platform was applied to the quantification of Co 2+ in Chinese tea samples and achieved quite satisfactory quantitative results. The average relative deviation between the quantitative results of the proposed SERS platform and those of inductively coupled plasma mass spectrometry was about 6.0%.It is therefore reasonable to expect that the proposed SERS platform can be a competitive alternative for the quantification of Co 2+ in food samples.

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Quantitative determination of ametryn in river water using surface-enhanced Raman spectroscopy coupled with an advanced chemometric model

Cited by 26 publications

References 28 publications

Sensitive determination of dopamine levels via surface-enhanced Raman scattering of Ag nanoparticle dimers

Sensitive determination of dopamine levels via surface-enhanced Raman scattering of Ag nanoparticle dimers

Quantitative analysis based on spectral shape deformation: A review of the theory and its applications

Quantitation of cobalt in Chinese tea by surface‐enhanced Raman spectroscopy in combination with the spectral shape deformation quantitative theory

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