Determination of seawater COD spectra using double-loop contraction and sorted frog optimization
© 2024 The Authors This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/)..
This study develops a novel double-loop contraction and C value sorting selection-based shrinkage frog-leaping algorithm (double-contractive cognitive random field [DC-CRF]) to mitigate the interference of complex salts and ions in seawater on the ultraviolet-visible (UV-Vis) absorbance spectra for chemical oxygen demand (COD) quantification. The key innovations of DC-CRF are introducing variable importance evaluation via C value to guide wavelength selection and accelerate convergence; a double-loop structure integrating random frog (RF) leaping and contraction attenuation to dynamically balance convergence speed and efficiency. Utilizing seawater samples from Jiaozhou Bay, DC-CRF-partial least squares regression (PLSR) reduced the input variables by 97.5% after 1,600 iterations relative to full-spectrum PLSR, RF-PLSR, and CRF-PLSR. It achieved a test R2 of 0.943 and root mean square error of 1.603, markedly improving prediction accuracy and efficiency. This work demonstrates the efficacy of DC-CRF-PLSR in enhancing UV-Vis spectroscopy for rapid COD analysis in intricate seawater matrices, providing an efficient solution for optimizing seawater spectra.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:89 |
|---|---|
| Enthalten in: |
Water science and technology : a journal of the International Association on Water Pollution Research - 89(2024), 7 vom: 14. Apr., Seite 1613-1629 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Hou, Shiwei [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Chemical oxygen demand |
|---|
| Anmerkungen: |
Date Completed 17.04.2024 Date Revised 17.04.2024 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.2166/wst.2024.101 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM371092264 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM371092264 | ||
| 003 | DE-627 | ||
| 005 | 20240417233016.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240416s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.2166/wst.2024.101 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1378.xml |
| 035 | |a (DE-627)NLM371092264 | ||
| 035 | |a (NLM)38619893 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Hou, Shiwei |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Determination of seawater COD spectra using double-loop contraction and sorted frog optimization |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 17.04.2024 | ||
| 500 | |a Date Revised 17.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2024 The Authors This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/). | ||
| 520 | |a This study develops a novel double-loop contraction and C value sorting selection-based shrinkage frog-leaping algorithm (double-contractive cognitive random field [DC-CRF]) to mitigate the interference of complex salts and ions in seawater on the ultraviolet-visible (UV-Vis) absorbance spectra for chemical oxygen demand (COD) quantification. The key innovations of DC-CRF are introducing variable importance evaluation via C value to guide wavelength selection and accelerate convergence; a double-loop structure integrating random frog (RF) leaping and contraction attenuation to dynamically balance convergence speed and efficiency. Utilizing seawater samples from Jiaozhou Bay, DC-CRF-partial least squares regression (PLSR) reduced the input variables by 97.5% after 1,600 iterations relative to full-spectrum PLSR, RF-PLSR, and CRF-PLSR. It achieved a test R2 of 0.943 and root mean square error of 1.603, markedly improving prediction accuracy and efficiency. This work demonstrates the efficacy of DC-CRF-PLSR in enhancing UV-Vis spectroscopy for rapid COD analysis in intricate seawater matrices, providing an efficient solution for optimizing seawater spectra | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a UV–Vis spectrophotometry | |
| 650 | 4 | |a chemical oxygen demand | |
| 650 | 4 | |a random frog | |
| 650 | 4 | |a seawater monitoring | |
| 650 | 4 | |a spectrum | |
| 700 | 1 | |a Zhang, Yingying |e verfasserin |4 aut | |
| 700 | 1 | |a Yuan, Da |e verfasserin |4 aut | |
| 700 | 1 | |a Feng, Xiandong |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Ying |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Water science and technology : a journal of the International Association on Water Pollution Research |d 1986 |g 89(2024), 7 vom: 14. Apr., Seite 1613-1629 |w (DE-627)NLM098149431 |x 0273-1223 |7 nnns |
| 773 | 1 | 8 | |g volume:89 |g year:2024 |g number:7 |g day:14 |g month:04 |g pages:1613-1629 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.2166/wst.2024.101 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 89 |j 2024 |e 7 |b 14 |c 04 |h 1613-1629 | ||