Possibilities of Real Time Monitoring of Micropollutants in Wastewater Using Laser-Induced Raman & Fluorescence Spectroscopy (LIRFS) and Artificial Intelligence (AI)

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2022 Jul 9

PMID 35808163

Authors

Claudia Post

Niklas Heyden

Andre Reinartz

Aaron Foerderer

Simon Bruelisauer

Volker Linnemann

William Hug

Florian Amann

Affiliations

Soon will be listed here.

Abstract

The entire water cycle is contaminated with largely undetected micropollutants, thus jeopardizing wastewater treatment. Currently, monitoring methods that are used by wastewater treatment plants (WWTP) are not able to detect these micropollutants, causing negative effects on aquatic ecosystems and human health. In our case study, we took collective samples around different treatment stages (aeration tank, membrane bioreactor, ozonation) of a WWTP and analyzed them via Deep-UV laser-induced Raman and fluorescence spectroscopy (LIRFS) in combination with a CNN-based AI support. This process allowed us to perform the spectra recognition of selected micropollutants and thus analyze their reliability. The results indicated that the combination of sensitive fluorescence measurements with very specific Raman measurements, supplemented with an artificial intelligence, lead to a high information gain for utilizing it as a monitoring purpose. Laser-induced Raman spectroscopy reaches detections limits of alert pharmaceuticals (carbamazepine, naproxen, tryptophan) in the range of a few µg/L; naproxen is detectable down to 1 × 10 mg/g. Furthermore, the monitoring of nitrate after biological treatment using Raman measurements and AI support showed a reliable assignment rate of over 95%. Applying the fluorescence technique seems to be a promising method in observing DOC changes in wastewater, leading to a correlation coefficient of R = 0.74 for all samples throughout the purification processes. The results also showed the influence of different extraction points in a cleaning stage; therefore, it would not be sensible to investigate them separately. Nevertheless, the interpretation suffers when many substances interact with one another and influence their optical behavior. In conclusion, the results that are presented in our paper elucidate the use of LIRFS in combination with AI support for online monitoring.

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References

Spencer R, Bolton L, Baker A . Freeze/thaw and pH effects on freshwater dissolved organic matter fluorescence and absorbance properties from a number of UK locations. Water Res. 2007; 41(13):2941-50. DOI: 10.1016/j.watres.2007.04.012. View

Crane M, Watts C, Boucard T . Chronic aquatic environmental risks from exposure to human pharmaceuticals. Sci Total Environ. 2006; 367(1):23-41. DOI: 10.1016/j.scitotenv.2006.04.010. View

Petrie B, Barden R, Kasprzyk-Hordern B . A review on emerging contaminants in wastewaters and the environment: current knowledge, understudied areas and recommendations for future monitoring. Water Res. 2014; 72:3-27. DOI: 10.1016/j.watres.2014.08.053. View

Jjemba P . Excretion and ecotoxicity of pharmaceutical and personal care products in the environment. Ecotoxicol Environ Saf. 2006; 63(1):113-30. DOI: 10.1016/j.ecoenv.2004.11.011. View

Bridgeman J, Baker A, Carliell-Marquet C, Carstea E . Determination of changes in wastewater quality through a treatment works using fluorescence spectroscopy. Environ Technol. 2014; 34(21-24):3069-77. DOI: 10.1080/09593330.2013.803131. View

Rasheed T, Bilal M, Nabeel F, Adeel M, Iqbal H . Environmentally-related contaminants of high concern: Potential sources and analytical modalities for detection, quantification, and treatment. Environ Int. 2018; 122:52-66. DOI: 10.1016/j.envint.2018.11.038. View

Cumberland S, Bridgeman J, Baker A, Sterling M, Ward D . Fluorescence spectroscopy as a tool for determining microbial quality in potable water applications. Environ Technol. 2012; 33(4-6):687-93. DOI: 10.1080/09593330.2011.588401. View

Malaj E, von der Ohe P, Grote M, Kuhne R, Mondy C, Usseglio-Polatera P . Organic chemicals jeopardize the health of freshwater ecosystems on the continental scale. Proc Natl Acad Sci U S A. 2014; 111(26):9549-54. PMC: 4084479. DOI: 10.1073/pnas.1321082111. View

OFlynn D, Lawler J, Yusuf A, Parle-McDermott A, Harold D, Mc Cloughlin T . A review of pharmaceutical occurrence and pathways in the aquatic environment in the context of a changing climate and the COVID-19 pandemic. Anal Methods. 2021; 13(5):575-594. DOI: 10.1039/d0ay02098b. View

10.

Chinen A, Guan C, Ferrer J, Barnaby S, Merkel T, Mirkin C . Nanoparticle Probes for the Detection of Cancer Biomarkers, Cells, and Tissues by Fluorescence. Chem Rev. 2015; 115(19):10530-74. PMC: 5457709. DOI: 10.1021/acs.chemrev.5b00321. View

11.

Baldwin D, Valo W . Exploring the relationship between the optical properties of water and the quality and quantity of dissolved organic carbon in aquatic ecosystems: strong correlations do not always mean strong predictive power. Environ Sci Process Impacts. 2015; 17(3):619-30. DOI: 10.1039/c4em00473f. View

12.

Post C, Brulisauer S, Waldschlager K, Hug W, Gruneis L, Heyden N . Application of Laser-Induced, Deep UV Raman Spectroscopy and Artificial Intelligence in Real-Time Environmental Monitoring-Solutions and First Results. Sensors (Basel). 2021; 21(11). PMC: 8201312. DOI: 10.3390/s21113911. View

13.

Prasse C, Stalter D, Schulte-Oehlmann U, Oehlmann J, Ternes T . Spoilt for choice: A critical review on the chemical and biological assessment of current wastewater treatment technologies. Water Res. 2015; 87:237-70. DOI: 10.1016/j.watres.2015.09.023. View

14.

Daughton C, Ternes T . Pharmaceuticals and personal care products in the environment: agents of subtle change?. Environ Health Perspect. 1999; 107 Suppl 6:907-38. PMC: 1566206. DOI: 10.1289/ehp.99107s6907. View

15.

Carstea E, Popa C, Baker A, Bridgeman J . In situ fluorescence measurements of dissolved organic matter: A review. Sci Total Environ. 2019; 699:134361. DOI: 10.1016/j.scitotenv.2019.134361. View

16.

Diehle M, Gebhardt W, Pinnekamp J, Schaffer A, Linnemann V . Ozonation of valsartan: Structural elucidation and environmental properties of transformation products. Chemosphere. 2018; 216:437-448. DOI: 10.1016/j.chemosphere.2018.10.123. View

17.

Wortberg M, Kurz J . Analytics 4.0: Online wastewater monitoring by GC and HPLC. Anal Bioanal Chem. 2019; 411(26):6783-6790. DOI: 10.1007/s00216-019-02065-w. View

18.

Wanda E, Nyoni H, Mamba B, Msagati T . Occurrence of Emerging Micropollutants in Water Systems in Gauteng, Mpumalanga, and North West Provinces, South Africa. Int J Environ Res Public Health. 2017; 14(1). PMC: 5295330. DOI: 10.3390/ijerph14010079. View

19.

Shutova Y, Baker A, Bridgeman J, Henderson R . Spectroscopic characterisation of dissolved organic matter changes in drinking water treatment: From PARAFAC analysis to online monitoring wavelengths. Water Res. 2014; 54:159-69. DOI: 10.1016/j.watres.2014.01.053. View

20.

Schmidt T . Recent trends in water analysis triggering future monitoring of organic micropollutants. Anal Bioanal Chem. 2018; 410(17):3933-3941. PMC: 6010479. DOI: 10.1007/s00216-018-1015-9. View