Green reduction of silver nanoparticles for cadmium detection in food using surface-enhanced Raman spectroscopy coupled multivariate calibration

Chen, Ping; Yin, Ling; El‐Seedi, Hesham R.; Zhang, Xiaobo; Guo, Zhiming

doi:10.1016/j.foodchem.2022.133481

Cited by 26 publications

(3 citation statements)

References 38 publications

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“…intensity related to the blank tea sample (0 μg/L) [28]. According to the established equation, the LOD was calculated to be 3.78 μg/L, indicating that the immunosensor had a good sensitivity.…”

Section: Quantitative Detection Of Cr 6+ In Tea Samplesmentioning

confidence: 99%

“…The linear quantitative relationship was described by the equation y = −32,207.76X + 67,161.47. Furthermore, the limit of detection (LOD) was defined as the concentration of Cr 6+ , resulting in a 3% decrease in Raman intensity related to the blank tea sample (0 µg/L) [28]. According to the established equation, the LOD was calculated to be 3.78 µg/L, indicating that the immunosensor had a good sensitivity.…”

Section: Quantitative Detection Of Cr 6+ In Tea Samplesmentioning

confidence: 99%

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Development of a Sensitive SERS Method for Label-Free Detection of Hexavalent Chromium in Tea Using Carbimazole Redox Reaction

Yin

Jayan

Cai

et al. 2023

Foods

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Tea plants absorb chromium-contaminated soil and water and accumulate in tea leaves. Hexavalent chromium (Cr6+) is a very toxic heavy metal; excessive intake of tea containing Cr6+ can cause serious harm to human health. A reliable and sensitive surface-enhanced Raman spectroscopy (SERS) method was developed using Au@Ag nanoparticles as an enhanced substrate for the determination of Cr6+ in tea. The Au@AgNPs coated with carbimazole showed a highly selective reaction to Cr6+ in tea samples through a redox reaction between Cr6+ and carbimazole. The Cr6+ in the contaminated tea sample reacted with methimazole—the hydrolysate of carbimazole—to form disulfide, which led to the decrease in the Raman intensity of the peak at 595 cm−1. The logarithm of the concentration of Cr6+ has a linear relationship with the Raman intensity at the characteristic peak and showed a limit of detection of 0.945 mg/kg for the tea sample. The carbimazole functionalized Au@AgNPs showed high selectivity in analyzing Cr6+ in tea samples, even in the presence of other metal ions. The SERS detection technique established in this study also showed comparable results with the standard ICP-MS method, indicating the applicability of the established technique in practical applications.

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Section: Quantitative Detection Of Cr 6+ In Tea Samplesmentioning

confidence: 99%

Section: Quantitative Detection Of Cr 6+ In Tea Samplesmentioning

confidence: 99%

Development of a Sensitive SERS Method for Label-Free Detection of Hexavalent Chromium in Tea Using Carbimazole Redox Reaction

Yin

Jayan

Cai

et al. 2023

Foods

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, the optimal number of LVs was determined by the minimizing predicted residual sum of squares, and the predicted residual sum of squares was calculated according to the method of leave-one-out cross-validation [42]. The model performance was mainly estimated by the determination coefficients (R 2 ) and the root mean square errors (RMSE) [43].…”

Section: Establishment and Evaluation Of Modelmentioning

confidence: 99%

Rapid and High-Performance Analysis of Total Nitrogen in Coco-Peat Substrate by Coupling Laser-Induced Breakdown Spectroscopy with Multi-Chemometrics

Lu,

Wang,

et al. 2024

Agriculture

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Nitrogen is an important nutrient element for crop growth. Rapid and accurate acquisition of nitrogen content in cultivation substrate is the key to precise fertilization. In this study, laser-induced breakdown spectroscopy (LIBS) was used to detect the total nitrogen (TN) of coco-peat substrate. A LIBS spectrum acquisition system was established to collect the spectral line signal of samples with wavelengths ranging from 200 nm to 860 nm. Synergy interval partial least squares (Si-PLS) algorithm and elimination of uninformative variables (UVE) algorithm were used to select the spectral data of TN characteristic lines in coco-peat substrate. Univariate calibration curve and partial least squares regression (PLSR) were used to build mathematical models for the relationship between the spectral data of univariate characteristic spectral lines, full variables and screened multi-variable characteristic spectral lines of samples and reference measurement values of TN. By comparing the detection performance of calibration curves and multivariate spectral prediction models, it was concluded that UVE was used to simplify the number of spectral input variables for the model and PLSR was applied to construct the simplest multivariate model for the measurement of TN in the substrate samples. The model provided the best measurement performance, with the calibration set determination coefficient (RC2) and calibration set root mean square error (RMSEC) values of 0.9944 and 0.0382%, respectively; the prediction set determination coefficient (RP2) and prediction set root mean square error (RMSEP) had values of 0.9902 and 0.0513%, respectively. These results indicated that the combination of UVE and PLSR could make full use of the variable information related to TN detection in the LIBS spectrum and realize the rapid and high-performance measurement of TN in coco-peat substrate. It would provide a reference for the rapid and quantitative assessment of nutrient elements in other substrate and soil.

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Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends

et al. 2023

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Green reduction of silver nanoparticles for cadmium detection in food using surface-enhanced Raman spectroscopy coupled multivariate calibration

Cited by 26 publications

References 38 publications

Development of a Sensitive SERS Method for Label-Free Detection of Hexavalent Chromium in Tea Using Carbimazole Redox Reaction

Development of a Sensitive SERS Method for Label-Free Detection of Hexavalent Chromium in Tea Using Carbimazole Redox Reaction

Rapid and High-Performance Analysis of Total Nitrogen in Coco-Peat Substrate by Coupling Laser-Induced Breakdown Spectroscopy with Multi-Chemometrics

Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends

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