Characterization of the distribution of mineral elements in chromium-stressed rice (Oryza sativa L.) leaves based on laser-induced breakdown spectroscopy and data augmentation

IF 3.2 2区 化学 Q1 SPECTROSCOPY
Jiyu Peng , Longfei Ye , Yifan Liu , Fei Zhou , Linjie Xu , Fengle Zhu , Jing Huang , Fei Liu
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引用次数: 0

Abstract

The fast and precise visualization of mineral elements in contaminated plants is crucial for understanding nutrient dynamics, plant health, and environmental monitoring. In this study, a Wasserstein generative adversarial network (WGAN) is proposed to expand the data scale and combines laser-induced breakdown spectroscopy (LIBS) with three machine learning methods for mineral elements analysis in Cr-stressed rice (Oryza sativa L.) leaves. In the quantitative analysis of mineral elements, the proposed method improved the prediction performance for Cu, K, Mg, Mn, and Na, except for Ca and Fe, demonstrating the effectiveness of data augmentation in enhancing the quantitative models. Mapping the distribution of Ca, Fe, Mg, K, Mn, and Na in rice leaves shows higher concentrations towards the apical regions and approximately symmetrical distribution along the leaf vein. Additionally, Fe, K, and Mn concentrations are significantly lower in Cr-polluted leaves compared to uncontaminated leaves. These preliminary findings offer insights into the macro distribution of mineral elements in plants.

Abstract Image

基于激光诱导击穿光谱和数据增强的铬胁迫水稻(Oryza sativa L.)叶片中矿物质元素的分布表征
快速、精确地可视化受污染植物中的矿物元素对于了解养分动态、植物健康和环境监测至关重要。本研究提出了一种 Wasserstein 生成式对抗网络(WGAN)来扩大数据规模,并将激光诱导击穿光谱(LIBS)与三种机器学习方法相结合,用于分析受铬胁迫的水稻(Oryza sativa L.)叶片中的矿物元素。在矿物元素定量分析中,除 Ca 和 Fe 外,所提出的方法提高了 Cu、K、Mg、Mn 和 Na 的预测性能,证明了数据扩增在增强定量模型方面的有效性。绘制的水稻叶片中 Ca、Fe、Mg、K、Mn 和 Na 的分布图显示,叶片顶端区域的浓度较高,且沿叶脉大致对称分布。此外,与未受污染的叶片相比,受铬污染的叶片中铁、钾和锰的浓度明显较低。这些初步发现有助于深入了解植物中矿物质元素的宏观分布。
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来源期刊
CiteScore
6.10
自引率
12.10%
发文量
173
审稿时长
81 days
期刊介绍: Spectrochimica Acta Part B: Atomic Spectroscopy, is intended for the rapid publication of both original work and reviews in the following fields: Atomic Emission (AES), Atomic Absorption (AAS) and Atomic Fluorescence (AFS) spectroscopy; Mass Spectrometry (MS) for inorganic analysis covering Spark Source (SS-MS), Inductively Coupled Plasma (ICP-MS), Glow Discharge (GD-MS), and Secondary Ion Mass Spectrometry (SIMS). Laser induced atomic spectroscopy for inorganic analysis, including non-linear optical laser spectroscopy, covering Laser Enhanced Ionization (LEI), Laser Induced Fluorescence (LIF), Resonance Ionization Spectroscopy (RIS) and Resonance Ionization Mass Spectrometry (RIMS); Laser Induced Breakdown Spectroscopy (LIBS); Cavity Ringdown Spectroscopy (CRDS), Laser Ablation Inductively Coupled Plasma Atomic Emission Spectroscopy (LA-ICP-AES) and Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS). X-ray spectrometry, X-ray Optics and Microanalysis, including X-ray fluorescence spectrometry (XRF) and related techniques, in particular Total-reflection X-ray Fluorescence Spectrometry (TXRF), and Synchrotron Radiation-excited Total reflection XRF (SR-TXRF). Manuscripts dealing with (i) fundamentals, (ii) methodology development, (iii)instrumentation, and (iv) applications, can be submitted for publication.
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