Real-time Analysis of Sulfur,Arsenic,and Copper Contents in Raw Ore Using Laser-Induced Breakdown Spectroscopy
10.19756/j.issn.0253-3820.251128
- VernacularTitle:激光诱导击穿光谱在线快速检测原矿浆中硫、砷和铜含量
- Author:
Ming-Ming XU
1
;
Cui-Ping LU
;
Tao LI
;
Jia-Tao QIN
Author Information
1. 合肥大学先进制造工程学院,合肥 230601
- Keywords:
Spectral analysis;
Laser-induced breakdown spectroscopy;
Raw ore;
Multiple linear regression;
Partial least squares;
Sulfur;
Arsenic;
Copper
- From:
Chinese Journal of Analytical Chemistry
2025;53(10):1722-1731
- CountryChina
- Language:Chinese
-
Abstract:
Real-time analysis of major element content in raw ore slurry represents a crucial part in mining extraction processes.A self-developed real-time online detection system based on laser-induced breakdown spectroscopy(LIBS)was applied for rapid detection of primary elements in raw ore slurry.Using 72 synchronized samples collected from mining enterprises,with 58 samples allocated for model construction and 14 for validation,this research focused on addressing the industrial requirements for real-time monitoring of sulfur(S),arsenic(As),and copper(Cu)elements.Multiple characteristic spectral lines were selected from LIBS detection system's spectral data.The analytical approach combined multiple linear regression(MLR)for initial model development with partial least squares(PLS)full-spectrum analysis for model refinement,ultimately establishing calibration and prediction models for the three target elements.The results demonstrated that the integrated MLR-PLS methodology achieved high precision,with calibration model determination coefficients(R2)of 0.95,0.97,and 0.99,and prediction model R2 values of 0.96,0.94,and 0.99 for S,As and Cu,respectively.The mean relative prediction errors were 1.65%,2.10%and 0.86%,respectively,which could meet the practical production requirements of mining operations.This approach provided an effective technical solution for real-time quality monitoring in mineral slurry processing.
