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A PLS model for predicting rejection of trace organic compounds by nanofiltration using treated wastewater as feed

Flyborg, Lena LU ; Björlenius, Berndt; Ullner, Magnus LU and Persson, Kenneth M LU (2017) In Separation and Purification Technology 174. p.212-221
Abstract
In this study a Partial Least Squares Projection of Latent Structures (PLS) model has been developed for
predicting the rejection of pharmaceutical residuals by nanofiltration (NF) using treated municipal
wastewater as feed. The objective was to provide a practical tool for wastewater reuse facilities for estimating
the rejection of emerging organic contaminants based on their physiochemical characteristics.
The model was developed by identifying the important physiochemical properties of pharmaceutical
residuals for rejection by NF. The investigated pharmaceuticals were those present in the effluent from
Henriksdal wastewater treatment plant (WWTP), Sweden. The rejection, at volume reduction factors
(VRF)... (More)
In this study a Partial Least Squares Projection of Latent Structures (PLS) model has been developed for
predicting the rejection of pharmaceutical residuals by nanofiltration (NF) using treated municipal
wastewater as feed. The objective was to provide a practical tool for wastewater reuse facilities for estimating
the rejection of emerging organic contaminants based on their physiochemical characteristics.
The model was developed by identifying the important physiochemical properties of pharmaceutical
residuals for rejection by NF. The investigated pharmaceuticals were those present in the effluent from
Henriksdal wastewater treatment plant (WWTP), Sweden. The rejection, at volume reduction factors
(VRF) ranging from 2 to 20, was examined in a NF pilot plant at two occasions.
The important variables for rejection by NF were, in descending order: polarizability, globularity, ratio
hydrophobic to polar water accessible surface area and compound charge.
Two studies were performed with a time interval of about a year with different wastewater matrices
and age of membranes. For different VRFs, but in the same study, the model produced consistent predicted
rejections. For the same VRF, but in the different studies, the regression lines were almost parallel,
but with a deviation of about 7% for the predicted values. Most of the compounds were within the 95%
prediction interval. The model also proved to be able to predict rejection using data from the literature.
This confirms that the predictive PLS model can estimate the rejection albeit, with limitations. Generally
the proposed predictive rejection model is most likely valid but the model coefficients need to be determined
for each individual WWTP or wastewater reuse facility. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Separation and Purification Technology
volume
174
pages
10 pages
publisher
Elsevier
external identifiers
  • scopus:84993971336
  • wos:000389091700026
ISSN
1383-5866
DOI
10.1016/j.seppur.2016.10.029
language
English
LU publication?
yes
id
2a136756-12ce-4d29-a5d6-b9b2d67c265c
date added to LUP
2016-12-16 12:47:32
date last changed
2018-01-07 11:41:15
@article{2a136756-12ce-4d29-a5d6-b9b2d67c265c,
  abstract     = {In this study a Partial Least Squares Projection of Latent Structures (PLS) model has been developed for<br/>predicting the rejection of pharmaceutical residuals by nanofiltration (NF) using treated municipal<br/>wastewater as feed. The objective was to provide a practical tool for wastewater reuse facilities for estimating<br/>the rejection of emerging organic contaminants based on their physiochemical characteristics.<br/>The model was developed by identifying the important physiochemical properties of pharmaceutical<br/>residuals for rejection by NF. The investigated pharmaceuticals were those present in the effluent from<br/>Henriksdal wastewater treatment plant (WWTP), Sweden. The rejection, at volume reduction factors<br/>(VRF) ranging from 2 to 20, was examined in a NF pilot plant at two occasions.<br/>The important variables for rejection by NF were, in descending order: polarizability, globularity, ratio<br/>hydrophobic to polar water accessible surface area and compound charge.<br/>Two studies were performed with a time interval of about a year with different wastewater matrices<br/>and age of membranes. For different VRFs, but in the same study, the model produced consistent predicted<br/>rejections. For the same VRF, but in the different studies, the regression lines were almost parallel,<br/>but with a deviation of about 7% for the predicted values. Most of the compounds were within the 95%<br/>prediction interval. The model also proved to be able to predict rejection using data from the literature.<br/>This confirms that the predictive PLS model can estimate the rejection albeit, with limitations. Generally<br/>the proposed predictive rejection model is most likely valid but the model coefficients need to be determined<br/>for each individual WWTP or wastewater reuse facility.},
  author       = {Flyborg, Lena and Björlenius, Berndt and Ullner, Magnus and Persson, Kenneth M},
  issn         = {1383-5866},
  language     = {eng},
  pages        = {212--221},
  publisher    = {Elsevier},
  series       = {Separation and Purification Technology},
  title        = {A PLS model for predicting rejection of trace organic compounds by nanofiltration using treated wastewater as feed},
  url          = {http://dx.doi.org/10.1016/j.seppur.2016.10.029},
  volume       = {174},
  year         = {2017},
}