Effect of cationic monomer content on polyacrylamide copolymers by frit-inlet asymmetrical flow field-flow fractionation/multi-angle light scattering

Lee, Hye-Jin; Kim, Jin Yong; Choi, Woonjin; Moon, Myeong Hee

doi:10.1016/j.chroma.2017.04.057

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…In this case, called steric/hyperlayer or "reversed" mode of elution, retention time is inversely proportional to particle size, rather than directly as in the "normal" mode of elution described above. Instances of "reversed" mode can occur also with nanometric objects, especially for high values of the cross-flow, and can hinder the interpretation of the fractogram [31][32][33].…”

Section: Principles Of Fffmentioning

confidence: 99%

Asymmetric flow field-flow fractionation as a multifunctional technique for the characterization of polymeric nanocarriers

Quattrini

Berrecoso

Crecente‐Campo

et al. 2021

Drug Deliv. and Transl. Res.

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The importance of polymeric nanocarriers in the field of drug delivery is ever-increasing, and the accurate characterization of their properties is paramount to understand and predict their behavior. Asymmetric flow field-flow fractionation (AF4) is a fractionation technique that has gained considerable attention for its gentle separation conditions, broad working range, and versatility. AF4 can be hyphenated to a plurality of concentration and size detectors, thus permitting the analysis of the multifunctionality of nanomaterials. Despite this potential, the practical information that can be retrieved by AF4 and its possible applications are still rather unfamiliar to the pharmaceutical scientist. This review was conceived as a primer that clearly states the “do’s and don’ts” about AF4 applied to the characterization of polymeric nanocarriers. Aside from size characterization, AF4 can be beneficial during formulation optimization, for drug loading and drug release determination and for the study of interactions among biomaterials. It will focus mainly on the advances made in the last 5 years, as well as indicating the problematics on the consensus, which have not been reached yet. Methodological recommendations for several case studies will be also included. Graphical abstract

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Section: Principles Of Fffmentioning

confidence: 99%

Asymmetric flow field-flow fractionation as a multifunctional technique for the characterization of polymeric nanocarriers

Quattrini

Berrecoso

Crecente‐Campo

et al. 2021

Drug Deliv. and Transl. Res.

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“…The polymer of DMC possesses extremely strong polarity and affinity for anionic substances and is widely used as a cationic occulant for wastewater treatment, papermaking, coal otation, printing, and dyeing. [16][17][18][19][20] Thus, DMC has potential uses in preparing efficient adsorbents for the removal of anionic dyes through polymerization.…”

Section: àmentioning

confidence: 99%

Novel Fe₃O₄–poly(methacryloxyethyltrimethyl ammonium chloride) adsorbent for the ultrafast and efficient removal of anionic dyes

et al. 2021

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“…Literature [37] Companies targeting groundbreaking strategies often engage in supply chain relationships to benefit from external resources and improve their innovation. However, such efforts may be hampered by power asymmetries in such relationships, especially when their partner firms enforce coercive power [38]. Contracts may reduce the risk of such opportunistic behavior.…”

Section: Introductionmentioning

confidence: 99%

Strategy for financing mode optimization in international trade supply chain based on deep learning model

Liu

2023

Applied Mathematics and Nonlinear Sciences

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With the development of economy and the advance of society, the quality of life of the masses has been improved to a certain extent. Meanwhile, new approaches have emerged in the financial industry, such as the supply chain mode. This paper modeled the coupling relationship of financial markets based on deep learning model and proposed the supply chain financing strategy of financial markets in different countries. The experimental results show that when the minimum value of supply chain finance is 0.5577, the loss risk has not reached the boundary of the effectiveness of the risk control standard. Therefore, this paper aims to systematically analyze the financing mode of international trade supply chain, comprehensively perfect the international trade governance mode, and thus realize the freedom of trade, and at the same time, provide new ideas for enterprises' financing difficulties, and probe into the ways of supply chain financing mode in improving enterprises' financing difficulties, so as to help solve the financing difficulties of a large number of enterprises and optimize the financing strategy of international trade.

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Effect of cationic monomer content on polyacrylamide copolymers by frit-inlet asymmetrical flow field-flow fractionation/multi-angle light scattering

Cited by 7 publications

References 22 publications

Asymmetric flow field-flow fractionation as a multifunctional technique for the characterization of polymeric nanocarriers

Asymmetric flow field-flow fractionation as a multifunctional technique for the characterization of polymeric nanocarriers

Novel Fe₃O₄–poly(methacryloxyethyltrimethyl ammonium chloride) adsorbent for the ultrafast and efficient removal of anionic dyes

Strategy for financing mode optimization in international trade supply chain based on deep learning model

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Effect of cationic monomer content on polyacrylamide copolymers by frit-inlet asymmetrical flow field-flow fractionation/multi-angle light scattering

Cited by 7 publications

References 22 publications

Asymmetric flow field-flow fractionation as a multifunctional technique for the characterization of polymeric nanocarriers

Asymmetric flow field-flow fractionation as a multifunctional technique for the characterization of polymeric nanocarriers

Novel Fe3O4–poly(methacryloxyethyltrimethyl ammonium chloride) adsorbent for the ultrafast and efficient removal of anionic dyes

Strategy for financing mode optimization in international trade supply chain based on deep learning model

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Product

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Novel Fe₃O₄–poly(methacryloxyethyltrimethyl ammonium chloride) adsorbent for the ultrafast and efficient removal of anionic dyes