Analysis of Cadmium Contamination in Lettuce (Lactuca sativa L.) Using Visible-Near Infrared Reflectance Spectroscopy

Author:

Zhou Lina1,Zhou Leijinyu1,Wu Hongbo1,Kong Lijuan1,Li Jinsheng1,Qiao Jianlei2,Chen Limei1

Affiliation:

1. College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China

2. College of Horticulture, Jilin Agricultural University, Changchun 130118, China

Abstract

In order to rapidly and accurately monitor cadmium contamination in lettuce and understand the growth conditions of lettuce under cadmium pollution, lettuce is used as the test material. Under different concentrations of cadmium stress and at different growth stages, relative chlorophyll content of lettuce leaves, the cadmium content in the leaves, and the visible-near infrared reflectance spectra are detected and analyzed. An inversion model of the cadmium content and relative chlorophyll content in the lettuce leaves is established. The results indicate that cadmium concentrations of 1 mg/kg and 5 mg/kg promote relative chlorophyll content, while concentrations of 10 mg/kg and 20 mg/kg inhibit relative chlorophyll content. The cadmium content in the leaves increases with increasing cadmium concentrations. Cadmium stress caused a “blue shift” in the red edge position only during the mature period, while the red valley position underwent a “blue shift” during the seedling and growth periods and a “red shift” during the mature period. The green peak position exhibited a “blue shift”. After model validation, it was found that the model constructed using the ratio of red edge area to yellow edge area and the normalized values of red edge area and yellow edge area effectively estimated the cadmium content in lettuce leaves. The model established using the normalized vegetation index of the red edge and the ratio of the peak green value to red shoulder amplitude can effectively estimate the relative chlorophyll content in lettuce leaves. This study demonstrates that the visible-near infrared spectroscopy technique holds great potential for monitoring cadmium contamination and estimating chlorophyll content in lettuce.

Funder

Science and Technology Development Project of Jilin Province

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference39 articles.

1. Energy crops in sustainable phytoremediation;Pandey;Renew. Sustain. Energy Rev.,2016

2. Soil Contamination in China: Current Status and Mitigation Strategies;Zhao;Environ. Sci. Technol.,2014

3. Liang, X.N., Liang, S., Liang, Y.P., and Zhang, J. (2023). Effects of exogenous Ca on seed germination and growth of Miscanthus sacchariflorus seedlings under Cd stress. Chin. J. Ecol., 1–10.

4. Monitoring heavy metal pollution contamination of wheat soil using hyperspectral remote sensing technology;Zhong;Trans. Chin. Soc. Agric. Eng.,2023

5. Application and development of hyperspectral remote sensing technology to determine the heavy metal content in soil;Liu;J. Agro-Environ. Sci.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3