Laser-Induced Breakdown Spectroscopy for Rapid Discrimination of Heavy-Metal-Contaminated Seafood Tegillarca granosa-Reference-Cited by-同舟云学术

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Laser-Induced Breakdown Spectroscopy for Rapid Discrimination of Heavy-Metal-Contaminated Seafood Tegillarca granosa

Published:2017-11-17 Issue:11 Volume:17 Page:2655
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Ji Guoli,Ye Pengchao,Shi Yijian,Yuan Leiming,Chen Xiaojing,Yuan Mingshun,Zhu Dehua,Chen Xi,Hu Xinyu,Jiang Jing

Publisher

MDPI AG

Subject

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

Link

http://www.mdpi.com/1424-8220/17/11/2655/pdf

Reference47 articles.

1. Pharmacokinetic modeling in aquatic animals I. Models and concepts

2. Identification of heavy metal-contaminated Tegillarca granosa using infrared spectroscopy

3. Nutritive and Officinal Value of Tegillarca granosa;Wen;J. Econ. Anim.,2009

4. Polymorphism of the multiple hemoglobins in blood clam Tegillarca granosa and its association with disease resistance to Vibrio parahaemolyticus

5. Aquatic Insects and Trace Metals: Bioavailability, Bioaccumulation, and Toxicity

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Determination of Molybdenum in Geological Ores by Laser-Induced Breakdown Spectroscopy (LIBS) with Support Vector Machine Regression (SVMR) and Data Preprocessing;Analytical Letters;2023-11-19

2. Detección rápida de cromo, plomo y mercurio mediante espectroscopia de plasmas inducidos por láser (LIBS) en recursos invertebrados: Aulacomya atra, Argopecten purpuratus y Anadara tuberculosa;South Florida Journal of Development;2023-09-04

3. Machine Learning in Prediction of Nanotoxicology;Machine Learning and Deep Learning in Computational Toxicology;2023

4. A robust method to improve the regression accuracy of LIBS data: determination of heavy metal Cu in Tegillarca granosa;Analytical Methods;2023

5. Development of one-class classification method for identifying healthy T. granosa from those contaminated with uncertain heavy metals by LIBS;International Journal of Agricultural and Biological Engineering;2023

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