Adsorption modeling of microcrystalline cellulose for pharmaceutical-based micropollutants (Record no. 55336)

MARC details
000 -LEADER
fixed length control field 02277nam a2200277Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field MX-MdCICY
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625164352.0
040 ## - CATALOGING SOURCE
Transcribing agency CICY
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-21266
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250602s9999 xx |||||s2 |||| ||und|d
245 10 - TITLE STATEMENT
Title Adsorption modeling of microcrystalline cellulose for pharmaceutical-based micropollutants
490 0# - SERIES STATEMENT
Series statement Journal of Hazardous Materials. 426, 128087, 2022, DOI: 10.1016/j.jhazmat.2021.128087
520 3# - SUMMARY, ETC.
Summary, etc. Cellulose can be considered as a raw material for the production of filters and adsorbents for the removal of micropollutants, particularly in pharmaceutical-based products. To study its applications, it is important to estimate the adsorptive interaction of cellulose with the targeted chemicals, and develop predictive models for the expandable estimation into various types of micropollutants. Therefore, the adsorption affinity between cellulose and micropollutants was measured through isotherm experiments, and a quantitative structure-adsorption relationship model was developed using the linear free energy relationship (LFER) equation. The results indicate that microcrystalline cellulose has a remarkably high adsorption affinity with cationic micropollutants. Moreover, it has interactions with neutral and anionic micropollutants, although they have relatively lower affinities than those of cations. Through a modeling study, an LFER model - comprising of excess molar refraction, polar interaction, molecular volume, and charge-related terms - was developed, which could be used to predict the adsorption affinity values with an R2 of 0.895. To verify the robustness and predictability of the model, internal and external validation studies were performed. The results proved that the model was reasonable and acceptable, with an SE = 0.207 log unit. © 2021 Elsevier B.V.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BIOSORBENT
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element EMERGING CONTAMINANT
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element IONS
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element PREDICTION
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Cho B.-G.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Mun S.-B.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Lim C.-R.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Kang S.B.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Cho C.-W.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Yun Y.-S.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1pANgHj4PwDNA5-ol_AX86d3-Ay68CerL/view?usp=drivesdk">https://drive.google.com/file/d/1pANgHj4PwDNA5-ol_AX86d3-Ay68CerL/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta @cicy.edu.mx
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Clasificación local
Koha item type Documentos solicitados
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Price effective from Koha item type
  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-21266 25.06.2025 25.06.2025 Documentos solicitados