Cited by 169Membrane Separation TechnologiesElectrospun Nanofibers in Biomedical ApplicationsAerosol Filtration and Electrostatic Precipitation

Preparation and dye filtration property of electrospun polyhydroxybutyrate–calcium alginate/carbon nanotubes composite nanofibrous filtration membrane

Guo, Jie, Zhang, Qing, Cai, Zhijiang, Zhao, Kongyin·2016·Separation and Purification Technology

Integrity signals

Registry

Crossref · 10.1016/j.seppur.2016.01.036

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35 of 35 references verified0 citation errors · 0 not checkable

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Authors
Guo, J., Zhang, Q., Cai, Z., & Zhao, K.
Affiliations
Tiangong University (CN)
Venue
Separation and Purification Technology
Publisher
Elsevier BV
Published
2016-03
Volume
161
Pages
69-79
ISSN
1383-5866 (ISSN-L)
OpenAlex
W2251150047
Cited by
169
References
35
Citations by year
2026: 6 · 2025: 7 · 2024: 18 · 2023: 12 · 2022: 28 · 2021: 20 · 2020: 24 · 2019: 19 · 2018: 15 · 2017: 13 · 2016: 7
FWCI
10.67
Type
journal article
Language
en
Open access
closed
Locations
Separation and Purification Technology (publishedVersion)
Funders
  • National Natural Science Foundation of China (51103102)
  • Open Project Program of State Key Laboratory of Separation Membranes and Membrane Processes of Tianjin Polytechnic University (Z2-201567, Z1-201508)
Topics
  • Physical Sciences › Environmental Science › Water Science and Technology › Membrane Separation Technologies
  • Physical Sciences › Materials Science › Biomaterials › Electrospun Nanofibers in Biomedical Applications
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Aerosol Filtration and Electrostatic Precipitation
Keywords
polyhydroxybutyrate, calcium alginate, multi-walled carbon nanotubes, nanofibrous membranes, calcium crosslinking, membrane hydrophilicity, tensile properties, nanofiltration, wastewater treatment

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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