Hyperspectral magnetite grade based on characteristic band screening inversion study.

Yang Bai, Xiaoxiao Xie, Yuna Jia, Yunpeng Zhang

Abstract read

In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yang BaiCollege of Mining Engineering, North China University of Science and Technology, Tangshan, 063210, China.

Xiaoxiao XieSchool of Emergency Management and Safety Engineering, North China University of Science and Technology, Tangshan, 063210, China.

Yuna JiaCollege of Mining Engineering, North China University of Science and Technology, Tangshan, 063210, China. jiayuna1009@163.com.

Yunpeng ZhangCollege of Mining Engineering, North China University of Science and Technology, Tangshan, 063210, China.

Funding

Fund Project of Hebei Education Department QN2020149Tangshan Science and Technology Bureau Fund Project 21130204C

6 · The paper itself

Abstract

In order to clarify the relationship between magnetite grade and reflectance spectra, spectral testing of different grades of magnetite was carried out to analyze the effect of iron grade on the reflectance spectra of specimens. The results show that the fluctuation trends of the spectral curves of different grades of magnetite are slightly different. By screening the characteristic bands of magnetite grade, it was found that the characteristic bands of different grades of magnetite are mainly distributed in the range of 350-1000 nm and 1800-2500 nm. Then based on the relationship between magnetite grade and reflectance spectra, two inversion models of magnetite grade, PLSR(Partial Least Squares Regression) and MLSR(Multiple Linear Stepwise Regression), were established. By comparing and analyzing the inversion models of magnetite grade established by PLSR and MLSR, it was found that the inversion accuracy based on the PLSR model was better than that of the MLSR model, in which the [Formula: see text] and the RMSE of validation set of the best model was respectively 0.9982 and 0.95%.

Indexed as

Characteristic bandInversion modelMagnetitePLSRSpectral signature

Identifiers

PMID40804130

DOI10.1038/s41598-025-15429-3

PMCPMC12350663

What Socratic holds

Textmetadata

LicenceCC BY-NC-ND

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.