[Quantitative Analysis of Heave Mental Ion Based on Portable NIR Spectrometer]

Area of Science:

• Analytical Chemistry
• Environmental Science
• Spectroscopy

Background:

• Near-infrared reflectance spectroscopy (NIRS) offers rapid analysis and simple pretreatment, making it valuable across various fields.
• Portable NIRS instruments are gaining attention for on-site identification and analysis.
• NIRS is a green analytical tool suitable for multi-component analysis.

Purpose of the Study:

• To investigate the feasibility of simultaneous quantitative analysis of heavy metal ions in dilute solutions using a portable near-infrared spectrometer.
• To develop a method for efficient enrichment and detection of nickel and copper ions.

Main Methods:

• Amino modified polymerized starch was used as an adsorbent to enrich nickel and copper ions from dilute solutions.
• Diffuse reflectance spectra were measured using a portable near-infrared spectrometer.
• Spectral preprocessing (Continuous Wavelet Transform, Multiplicative Scatter Correction, Savitzky-Golay) and Partial Least Squares Regression were employed to build quantitative models.

Main Results:

• Amino modified polymerized starch efficiently enriched nickel and copper ions, achieving adsorption rates of 99.5% and 99.8%, respectively, even in the presence of interfering ions.
• Robust quantitative models were developed with high correlation coefficients (0.9819 for Ni, 0.9654 for Cu).
• Simultaneous quantitative analysis of mixed nickel and copper ions was achieved down to 3.0 mg·L(-1).

Conclusions:

• The developed method enhances the sensitivity of NIRS for heavy metal ion detection.
• It demonstrates the feasibility of using portable NIRS for simultaneous quantitative determination of multiple heavy metal ions in dilute solutions.
• This approach offers a promising avenue for broadening the application of NIRS in environmental monitoring and analysis.