Modeling the adsorption of ibuprofen on the Zn-decorated S, P, B co-doped C2N nanosheet: Machine learning and central composite design approaches. (Record no. 61977)
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| fixed length control field | 02095nam a2200241Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MX-MdCICY |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251009160708.0 |
| 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-21888 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251009s9999 xx 000 0 und d |
| 245 10 - TITLE STATEMENT | |
| Title | Modeling the adsorption of ibuprofen on the Zn-decorated S, P, B co-doped C2N nanosheet: Machine learning and central composite design approaches. |
| 490 0# - SERIES STATEMENT | |
| Series statement | Journal of Industrial and Engineering Chemistry, 137, 583-592, 2024. |
| 500 ## - GENERAL NOTE | |
| General note | Artículo |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | The ibuprofen (IB) residuals in water resources are classified as toxic and non-biodegradable contaminants. In the previous study, the Zn-decorated S,P,B co-doped C2N (Zn-SPB@C2N) nanosheet exhibited significant effectiveness in adsorbing IB from aqueous solutions. However, the operating conditions were not optimized for the adsorption process. The current study modeled the adsorption of IB onto Zn-SPB@C2N nanosheets employing central composite design (CCD) and machine learning (ML) methods under various operating conditions. The operating conditions included adsorbent mass, initial IB concentration, and pH. The CCD model revealed a mean squared error (MSE) value of 36.56. The ML investigations showed MSE values of 28.12 for the artificial neural network (ANN), 10.12 for the decision tree (DT), 8.68 for the linear regression (LR), and 3.70 for the random forest (RF) models. The RF model demonstrated high reliability in predicting IB removal across various conditions compared to other methods. Using the RF model, a maximum removal efficiency of 98 % was achieved under the optimized operating conditions, containing a pH of 7, an initial concentration of 59 mg/L, and an adsorbent mass of 0.020 g. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | CENTRAL COMPOSITE DESIGN |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MACHINE LEARNING |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | ADSORPTION |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | OPTIMIZATION |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Khajavian, M. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Haseli, A. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://drive.google.com/file/d/16zyTj5wRE1Pz0Z0dvXizXXTohP0Zwvn2/view?usp=drive_link">https://drive.google.com/file/d/16zyTj5wRE1Pz0Z0dvXizXXTohP0Zwvn2/view?usp=drive_link</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 |
| 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 |
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| Clasificación local | Ref1 | CICY | CICY | Documento préstamo interbibliotecario | 09.10.2025 | B-21888 | 09.10.2025 | 09.10.2025 | Documentos solicitados |