Use of near-infrared spectroscopy on predicting wastewater constituents to facilitate the operation of a membrane bioreactor

Kim, Sang Yeob; Ćurko, Josip; Kljusurić, Jasenka Gajdoš; Matošić, Marin; Crnek, Vlado; López-Vázquez, Carlos M.; García, Héctor A.; Brdjanović, Damir; Valinger, Davor

doi:10.1016/j.chemosphere.2021.129899

Cited by 2 publications

(1 citation statement)

References 42 publications

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“…It is crucial to have a reliable analytical approach to detect, measure, and identify MPs of varied materials, sizes, and shapes from environmental, agricultural, and food matrices to improve the risk assessments of MPs to people [17,18]. For microplastic investigation, spectroscopic methods, particularly vibrational spectroscopy (Raman and infrared), are often utilized, as for food analyses as well [19,20], coupled with chemometric tools [21][22][23].…”

Section: Analytical Methods For Analysis Of Microplasticsmentioning

confidence: 99%

Green Techniques for Detecting Microplastics in Marine with Emphasis on FTIR and NIR Spectroscopy—Short Review

Mikulec,

Adamović,

Cvetković

et al. 2023

Processes

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The amount of microplastics (MPs) present in marine ecosystems are a growing concern, with potential impacts on human health because they are associated with an increase in the ecotoxicity of certain foods, such as fish. As a result, there has been a growing interest in developing effective methods for the analysis of MPs in marine waters. Traditional methods for MP analysis involve visual inspection and manual sorting, which can be time-consuming and subject to human error. However, novel methods have been developed that offer more efficient and accurate analyses. One such method is based on spectroscopy, such as Fourier transform infrared spectroscopy (FTIR). Another method involves the use of fluorescent dyes, which can selectively bind to microplastics and allow for their detection under UV light. Additionally, machine learning approaches have been developed to analyze large volumes of water samples for MP detection and classification. These methods involve the use of specialized algorithms that can identify and classify MPs based on their size, shape, and texture. Overall, these novel methods offer more efficient and accurate analyses of MPs in marine waters, which is essential for understanding the extent and impacts of MP pollution and for developing effective mitigation strategies. However, there is still a need for continued research and development to optimize these methods and improve their sensitivity and accuracy.

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Section: Analytical Methods For Analysis Of Microplasticsmentioning

confidence: 99%

Green Techniques for Detecting Microplastics in Marine with Emphasis on FTIR and NIR Spectroscopy—Short Review

Mikulec,

Adamović,

Cvetković

et al. 2023

Processes

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Linear and Non-Linear Modelling of Bromate Formation during Ozonation of Surface Water in Drinking Water Production

Gregov

Tušek

Valinger

et al. 2023

Water

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Bromate formation is a complex process that depends on the properties of water and the ozone used. Due to fluctuations in quality, surface waters require major adjustments to the treatment process. In this work, we investigated how the time of year, ozone dose and duration, and ammonium affect bromides, bromates, absorbance at 254 nm (UV254), near-infrared (NIR) spectra, and fluorescent components (humic-like and tyrosine-like) during surface water ozonation. Linear and non-linear models were used to determine and predict the relationships between input and output variables. Season, ozonation dose and time were correlated with the output variables, while ammonium affected only bromates. All coefficients of determination (R2) for the multiple linear regression models were >0.64, while R2 for the piecewise linear regression models was >0.89. The season had no effect on bromate formation in either model, while ammonium only affected bromides and bromates. Three input variables influenced UV254 in both models. The artificial neural network (ANN) model with the season, ozonation dose and time, ammonium, and NIR spectra was an effective way to describe water ozonation results. The multilayer perception neural network 14-14-5 had the lowest errors and was the best ANN model with R2 values for training, testing, and validation of 0.9916, 0.9826, and 0.9732, respectively.

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Use of near-infrared spectroscopy on predicting wastewater constituents to facilitate the operation of a membrane bioreactor

Cited by 2 publications

References 42 publications

Green Techniques for Detecting Microplastics in Marine with Emphasis on FTIR and NIR Spectroscopy—Short Review

Green Techniques for Detecting Microplastics in Marine with Emphasis on FTIR and NIR Spectroscopy—Short Review

Linear and Non-Linear Modelling of Bromate Formation during Ozonation of Surface Water in Drinking Water Production

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