Determination of the nutrient profile in plant materials using laser-induced breakdown spectroscopy with partial least squares-artificial neural network hybrid models-Reference-Cited by-同舟云学术

Determination of the nutrient profile in plant materials using laser-induced breakdown spectroscopy with partial least squares-artificial neural network hybrid models

Published:2020-07-17 Issue:15 Volume:28 Page:23037
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Yang Ping^ORCID,Li Xiangyou,Nie Zhanglong

Funder

University-level scientific research projects of Changzhou College of Information Technology

National Natural Science Foundation of China

High-level Key Professional Construction Projects of Jiangsu vocational colleges

Qinglan Project of Jiangsu Province of China

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference33 articles.

1. Elemental Analysis of Different Cultivar of Senna (Cassia angustifolia) using Microwave Digestion and Flame Atomic Absorption Spectroscopy

2. Determination of changes in the concentration and distribution of elements within olive drupes (cv. Leccino) from Se biofortified plants, using laser ablation inductively coupled plasma mass spectrometry

3. Analysis of Plant Leaves Using Laser Ablation Inductively Coupled Plasma Optical Emission Spectrometry: Use of Carbon to Compensate for Matrix Effects

4. On the utilization of principal component analysis in laser-induced breakdown spectroscopy data analysis, a review

5. Laser-Induced Breakdown Spectroscopy (LIBS), Part I: Review of Basic Diagnostics and Plasma—Particle Interactions: Still-Challenging Issues within the Analytical Plasma Community

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