Novel Spectrophotometric Method for Robust Detection of Trace Copper and Cobalt in High-Concentration Zinc Solution DOI Creative Commons
Fengbo Zhou, Bo Wu, Jianhua Zhou

et al.

Molecules, Journal Year: 2024, Volume and Issue: 29(23), P. 5765 - 5765

Published: Dec. 6, 2024

In the purification process of zinc hydrometallurgy, spectra copper and cobalt seriously overlap in whole band are interfered with by nickel, which affects detection results solutions. Aiming to address problems low resolution, serious overlap, narrow characteristic wavelengths, a novel spectrophotometric method for robust trace is proposed. First, Haar, Db4, Coif3, Sym3 wavelets used carry out second-order continuous wavelet transform on spectral signals cobalt, improves resolution eliminates background interference caused matrix reagents. Then, information ratio separation degree defined as optimization indexes, multi-objective model established decomposition scale variable, non-inferior solution solved state transition algorithm. Finally, optimal second-derivative combined fine zero-crossing technique establish calibration curves at points simultaneous cobalt. The experimental show that performance proposed far superior partial least squares Kalman filtering methods. RMSEPs 0.098 0.063, correlation coefficients 0.9953 0.9971, average relative errors 3.77% 2.85%, making this suitable high-concentration

Language: Английский

Development of a rapid sensor system for nitrate detection in water using enhanced Raman spectroscopy DOI Creative Commons

Xintao Xia,

Guiyan Yang,

Hanjing Tian

et al.

RSC Advances, Journal Year: 2025, Volume and Issue: 15(8), P. 5728 - 5736

Published: Jan. 1, 2025

Nitrate is a primary source of nitrogen pollution in aquatic environments, making timely monitoring its levels surface and drinking water essential for environmental protection public health. Conventional laboratory methods are time-consuming require specialized expertise, while chemical electrode-based online detection systems hindered by challenges-such as frequent calibration ion cross-interference-which limits their suitability long-term monitoring. To address these limitations, novel nitrate method, utilizing an enhanced Raman spectroscopy device, was developed to rapidly detect water. The incorporation optical feedback mechanism significantly improved sensitivity, achieving limit 2.89 mg per L N, with single sample analysis completed under one minute. Furthermore, compact portable system designed integrating the enhancement device handheld spectrometer, which successfully validated using real-world samples. proposed features streamlined user design user-friendly operation, offering innovative approach rapid early warning. It also provides foundation establishing continuous quality.

Language: Английский

Citations

0
Detection of adulteration in cupuaçu pulp using spectroscopy in the infrared in conjunction with multivariate techniques DOI

Joane Cristina Costa Pereira,

Mateus Silva, Beatriz Gondim Matos

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 478, P. 143642 - 143642

Published: March 4, 2025

Language: Английский

Citations

0
Machine learning-assisted etched silver SERS sensors for trace-level detection of micron-scale PET in water DOI
Xin Wang,

Wenmin Zhao,

Dexiang Wang

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113346 - 113346

Published: March 1, 2025

Language: Английский

Citations

0
Gradient Nanostructures and Machine Learning Synergy for Robust Quantitative Surface‐Enhanced Raman Scattering DOI Creative Commons
Xiaoyu Zhao,

Yu-Xia Wang,

Yuting Liu

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 25, 2025

Abstract Surface‐Enhanced Raman Scattering (SERS) holds significant promise for trace‐level molecular detection but faces challenges in achieving reliable quantitative analysis due to signal variability caused by non‐uniform “hot spots” and external factors. To address these limitations, a novel SERS platform based on gradient nanostructures is developed using shadow sphere lithography, enabling the acquisition of diverse spectral features from single analyte concentration under identical conditions. The design minimizes fabrication enhances diversity, while machine learning (ML) model trained multi‐spectral dataset significantly outperformed traditional single‐spectrum approaches, with test Mean Squared Error (MSE) reduced 84.8% coefficient determination ( R 2 ) improved 61.2%. This strategy captures subtle variations, improving precision, robustness, reproducibility SERS‐based quantification, paving way its application real‐world scenarios.

Language: Английский

Citations

0
A Spectral Detection Method Based on Integrated and Partition Modeling for Trace Copper in High-Concentration Zinc Solution DOI Creative Commons
Fengbo Zhou, Bo Wu,

Zhou Jian-hua

et al.

Molecules, Journal Year: 2024, Volume and Issue: 29(17), P. 4006 - 4006

Published: Aug. 24, 2024

In zinc smelting solution, because the concentration of is too high, spectral signals trace copper are masked by zinc, and their overlap, which makes it difficult to detect copper. To solve this problem, a spectrophotometric method based on integrated partition modeling proposed. Firstly, derivative spectra continuous wavelet transform used preprocess signal highlight peak Then, interval select optimal characteristic according root mean square error prediction, wavelength points absorbance matrix selected correlation-coefficient threshold improve sensitivity linearity ions. Finally, partial least squares Adaboost algorithm established using realize detection in liquid. Comparing proposed with existing regression methods, results showed that can not only reduce complexity screening, but also ensure stability performance. The predicted was 0.0307, correlation coefficient 0.9978, average relative prediction 3.14%, effectively realized under background high-concentration

Language: Английский

Citations

1
Exploring the Path of Teachers’ Career Development and Skill Enhancement in Colleges and Universities for the Intelligent Era DOI Creative Commons
Lei Jiang

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Teachers are the purveyors of ideas and culture, bridge connecting past with present future, continuous innovation technology brings new requirements to college teachers. This paper takes teachers six undergraduate colleges universities in Yongyang as research object, designs self-administered questionnaire measurement tool this paper, then conducts survey collects data a combination online offline methods, finally processes by using Pearson’s correlation coefficient method PLS regression model. The influence coefficients variables “ideological dynamics” “role identity” on variable “teachers’ professional development level” 0.337 (P<0.05) 0.355 (P<0.01), which significant. 0.01), reaching level significance. social security (TS1), teacher management (TS2), training (TS3) teacher’s willingness (TS4) skill higher vocational descending order is follows: (0.301), (0.231), (0.175), (0.045), personal factors (0.045). skills education. While implement concept, build pattern, actively improve themselves, society schools also need give certain welfare protection form path career enhancement for universities.

Language: Английский

Citations

0
An integrated enrichment-enhancement membrane SERS substrate for rapid detection of polycyclic aromatic hydrocarbons in aquatic environments DOI
Xinna Yu, Lili Kong, Tianshuo Lan

et al.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2024, Volume and Issue: 328, P. 125429 - 125429

Published: Nov. 17, 2024

Language: Английский

Citations

0
Machine Learning-Assisted Porous Silver Sers Sensors for Trace-Level Detection of Pet in Water DOI
Xin Wang,

Wenmin Zhao,

Dexiang Wang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Novel Spectrophotometric Method for Robust Detection of Trace Copper and Cobalt in High-Concentration Zinc Solution DOI Creative Commons
Fengbo Zhou, Bo Wu, Jianhua Zhou

et al.

Molecules, Journal Year: 2024, Volume and Issue: 29(23), P. 5765 - 5765

Published: Dec. 6, 2024

In the purification process of zinc hydrometallurgy, spectra copper and cobalt seriously overlap in whole band are interfered with by nickel, which affects detection results solutions. Aiming to address problems low resolution, serious overlap, narrow characteristic wavelengths, a novel spectrophotometric method for robust trace is proposed. First, Haar, Db4, Coif3, Sym3 wavelets used carry out second-order continuous wavelet transform on spectral signals cobalt, improves resolution eliminates background interference caused matrix reagents. Then, information ratio separation degree defined as optimization indexes, multi-objective model established decomposition scale variable, non-inferior solution solved state transition algorithm. Finally, optimal second-derivative combined fine zero-crossing technique establish calibration curves at points simultaneous cobalt. The experimental show that performance proposed far superior partial least squares Kalman filtering methods. RMSEPs 0.098 0.063, correlation coefficients 0.9953 0.9971, average relative errors 3.77% 2.85%, making this suitable high-concentration

Language: Английский

Citations

0