Study on element detection and its correction in iron ore concentrate based on a prompt gamma-neutron activation analysis system

• Published in: Nuclear science and techniques Vol. 30; no. 4; pp. 44 - 52
• Main Authors: Zhao, Long, Xu, Xu, Lu, Jing-Bin, Gong, Ya-Lin, Li, Xiang-Lin, Zhang, Wei, Shang, Qing-Min, Song, Qing-Feng, Li, Yan-Feng
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.04.2019; Dandong Dongfang Measurement & Control Technology Co., Ltd, Dandong 118002, China%College of Physics, Jilin University, Changchun 130012, China%Dandong Dongfang Measurement & Control Technology Co., Ltd, Dandong 118002, China%Hunan First Normal University, Changsha 410205, China; College of Physics, Jilin University, Changchun 130012, China
• Subjects: Energy; Hadrons; Heavy Ions; Nuclear Energy; Nuclear Physics; Self-absorption; Energy spectrum; Iron ore concentrate; Correction; Prompt gamma-neutron activation analysis; Compensation
• ISSN: 1001-8042; 2210-3147
• DOI: 10.1007/s41365-019-0579-1

A prompt gamma-neutron activation analysis (PGNAA) system was developed to detect the iron content of iron ore concentrate. Because of the self-absorption effect of gamma-rays and neutrons, and the interference of chlorine in the neutron field, the linear relationship between the iron analytical coefficient and total iron content was poor, increasing the error in the quantitative analysis. To solve this problem, gamma-ray self-absorption compensation and a neutron field correction algorithm were proposed, and the experimental results have been corrected using this algorithm. The results show that the linear relationship between the iron analytical coefficient and total iron content was considerably improved after the correction. The linear correlation coefficients reached 0.99 or more.