Recyclable molecularly imprinted polymers based on Fe3O4@SiO2 and PAMAM dendrimers for the determination of myosmine in cigarettes

Dai, Yin; Jiang, Wei; Zheng, Y.; He, Ping; Zhu, Ruizhi; Fei, Jianwen; Xu, Wei; Liu, Chunbo; Hong, Junli

doi:10.1007/s00604-022-05529-6

Cited by 9 publications

(1 citation statement)

References 40 publications

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“…There are various types of MSPE adsorbents commonly used, including inorganic coated MNPs (SiO 2 ) [10], organic small molecule grafted MNPs, polymer coated MNPs [11], carbon nanomaterials (carbon nanotubes [CNTs], carbon nanosheets, graphene, etc.) [12], molecularly imprinted polymers (MIPs) supported MNPs and metal‐organic frameworks (MOFs) [13]. Superparamagnetic extraction adsorbent has good mono‐dispersity, high selective adsorption capacity, and large specific surface area.…”

Section: Introductionmentioning

confidence: 99%

Applications of magnetic solid‐phase extraction in the sample preparation of natural product analysis (2020–2023)

Chen,

Yang

2024

J of Separation Science

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Sample preparation, including extraction, separation, and purification, is a vital process for natural product analysis. As an attractive sample pretreatment method, magnetic solid‐phase extraction (MSPE) has gained plenty of attention, mainly due to its simpler operation, less consumption of organic solvents, and shorter processing time than traditional SPE. This updated review is devoted to summarizing the applications of MSPE based on different magnetic nanomaterials in the analysis of various natural products in complex matrixes, such as biological samples, plants, and Chinese herbal preparations in the past four years (2020–2023). The preparation and fabrication of different materials are briefly introduced. Furthermore, the extraction mechanism and interaction forces between adsorbent and analytes are elaborated, and the advantages and disadvantages of different adsorbents coupled with various analytical methods for MSPE of different natural products are summarized. Moreover, the future trends and opportunities for MSPE in the natural product analysis are discussed. It is expected that this work can provide updated information for future research on the applications of MSPE in such fields.

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