A fast determination of insecticide deltamethrin by spectral data fusion of UV–vis and NIR based on extreme learning machine

• Published in: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Molecular and biomolecular spectroscopy, 2021-02, Vol.247, p.119119, Article 119119
• Main Authors: Li, Qianqian, Huang, Yue, Zhang, Jixiong, Min, Shungeng
• Format: Article
• Language: English
• Subjects: Data fusion; Extreme learning machine; Near-infrared; Quality control; Ultraviolet–visible
• ISSN: 1386-1425
• DOI: 10.1016/j.saa.2020.119119

[Display omitted] •Spectral data fusion combined with extreme learning machine were applied to determine deltamethrin formulation.•Low-level fusion was the most effective way for building determination models of insecticide formulation.•It provides a valuable foundation for pesticide quality control. Spectral data fusion strategies combined with the extreme learning machine (ELM) algorithm was applied to determine the active ingredient in deltamethrin formulation. Ultraviolet–visible spectroscopy (UV–vis) is a rapid and sensitive detection method for specific components that are sensitive to ultraviolet irradiation. Alternatively, near-infrared spectroscopy (NIR) technology can be applied over a broader range. To determine a feasible method with a higher sensitivity and broader application range, the active ingredient of deltamethrin formulation was comprehensively investigated by combining the spectral data fusion strategy with ELM by employing UV–vis, NIR and fusion strategies, individually. Consequently, the results demonstrated that the low-level fusion strategy exhibited better predictive ability (lower RMSEP of 0.0645% and higher R2 of 0.9978) than mid-level fusion and individual methods. ELM combined with data fusion is proved to be an efficient method for the rapid analysis of deltamethrin formulations. Furthermore, this study provides a potential approach for pesticide quality control as well as on-site monitoring.