Magnetic solid-phase extraction as a novel method for the prediction of the bioaccessibility of polycyclic aromatic hydrocarbons

Qin, Shi-Bin; Qi, Shihua; Li, Xiao-Shui; Fan, Yu-Han; Li, Huan; Mou, Xiao-Xuan; Zhang, Yuan

doi:10.1016/j.scitotenv.2020.138789

Cited by 13 publications

(1 citation statement)

References 37 publications

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“…technology is to select a specific magnetic or magnetized material as the adsorbent, through the effect of magnetic field to separate the sample from the matrix, in addition, considering that there may be a small amount of sample residue on the magnetic adsorbent, so the final need to elute it, to get more accurate results. Qin et al [33] chose Fe 3 O 4 @PDA@PCD as the adsorbent and used magnetic solid-phase extraction to analyze 6 PAHs in soil. When the adsorption efficiency of Fe 3 O 4 @PDA@PCD and Tenax resin is 90%, the time required for PAHs to reach adsorption equilibrium is compared.…”

Section: Magnetic Solid-phase Extraction (Mspe) Magnetic Solid-phase ...mentioning

confidence: 99%

Research Progress of Polycyclic Aromatic Hydrocarbons Pretreatment Methods and Application of Computer Simulation Technology for Prediction and Degradation of Electrochemical Concentration Detection

Chang

2022

Journal of Chemistry

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Polycyclic aromatic hydrocarbons (PAHs) are a class of organic compounds that are composed of aromatic rings containing only carbon and hydrogen atoms. They are one of the widespread environmental pollutants in the world. In recent years, many scholars have focused on the inhibition, formation mechanism, content of active components, and biodegradation effect of polycyclic aromatic hydrocarbons. They summarized the research progress of pretreatment methods for detection, but rarely discussed the experimental dataset for comprehensive analysis of pollution sources and the impact of different pretreatment technologies on the extraction of different substrates. What is more, computer simulation has not been mentioned. In this study, the pollution sources of polycyclic aromatic hydrocarbons (PAHs) are reviewed, and the related applications of various pretreatment methods such as gel permeation chromatography (GPC) are summarized. Finally, the computer simulation of the response surface method is introduced. The concentration of polycyclic aromatic hydrocarbons is tested or predicted by combining the neural network with the alternating trilinear decomposition (ATLD) algorithm, artificial population algorithm (ABC), and hierarchical genetic algorithm (HGA). Its future development trend is discussed and prospected, which provides a reference for solving the pollution problem. We look forward to providing help for the follow-up research of scholars in this field.

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Section: Magnetic Solid-phase Extraction (Mspe) Magnetic Solid-phase ...mentioning

confidence: 99%

Research Progress of Polycyclic Aromatic Hydrocarbons Pretreatment Methods and Application of Computer Simulation Technology for Prediction and Degradation of Electrochemical Concentration Detection

Chang

2022

Journal of Chemistry

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Bioaccessibility and Toxicity Assessment of Polycyclic Aromatic Hydrocarbons in Two Contaminated Sites

Cao

Qu³

et al. 2022

Bull Environ Contam Toxicol

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Constructing bifunctional magnetic porous poly(divinylbenzene) polymer for high-efficient removal and sensitive detection of bisphenols

Li,

Ren,

Gao

et al. 2024

Chinese Chemical Letters

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Magnetic solid-phase extraction as a novel method for the prediction of the bioaccessibility of polycyclic aromatic hydrocarbons

Cited by 13 publications

References 37 publications

Research Progress of Polycyclic Aromatic Hydrocarbons Pretreatment Methods and Application of Computer Simulation Technology for Prediction and Degradation of Electrochemical Concentration Detection

Research Progress of Polycyclic Aromatic Hydrocarbons Pretreatment Methods and Application of Computer Simulation Technology for Prediction and Degradation of Electrochemical Concentration Detection

Bioaccessibility and Toxicity Assessment of Polycyclic Aromatic Hydrocarbons in Two Contaminated Sites

Constructing bifunctional magnetic porous poly(divinylbenzene) polymer for high-efficient removal and sensitive detection of bisphenols

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