Collaborative estimation of heavy metal stress in wheat seedlings based on LIBS-Raman spectroscopy coupled with machine learning-Reference-Cited by-同舟云学术

Collaborative estimation of heavy metal stress in wheat seedlings based on LIBS-Raman spectroscopy coupled with machine learning

Published:2023 Issue:10 Volume:38 Page:2059-2072
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Yang Zihan¹,Li Junmeng¹,Zuo Lingming¹,Zhao Yanru¹²³,Yu Keqiang¹²³^ORCID

Affiliation:

1. College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China

2. Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, China

3. Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China

Abstract

Systematic research procedures of this research. (a) Step 1 is wheat culture, heavy metal Pb stressed and sample preparation; (b) step 2 is spectral data preprocessing, and discriminant models foundation and analysis.

Funder

Natural Science Foundation of Shaanxi Province

National Natural Science Foundation of China

Ministry of Agriculture and Rural Affairs of the People's Republic of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/JA/D3JA00243H

Reference66 articles.

1. Lead in Urban Soils: Relation between the Hazard Exposure from Bioaccessible Fraction and Soil Fractionation

2. Evaluation of in vitro bioaccessibility of Cr, Ni and Pb in rice varieties. Effect of cooking, dietary components and risk assessment

3. Vermicompost Amendment in Soil Affects Growth and Physiology of Zea mays Plants and Decreases Pb Accumulation in Tissues

4. Uptake of heavy metal in wheat from application of different phosphorus fertilizers

5. Direct absorption of atmospheric lead by rapeseed siliques is the leading cause of seed lead pollution

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