Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters

The dairy industry produces large amounts of wastewater, including white and cleaning wastewater originating principally from rinsing and cleaning-in-place procedures. Their valorization into process water and non-fat milk solids, in the case of white wastewater, or the renewal of cleaning solutions...

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Main Authors: Sabine Alalam, Farah Ben-Souilah, Marie-Hélène Lessard, Julien Chamberland, Véronique Perreault, Yves Pouliot, Steve Labrie, Alain Doyen
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Dairy
Subjects:
Online Access:https://www.mdpi.com/2624-862X/2/2/16
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spelling doaj-24cfcd55d06349ecb23f84a621c15faf2021-08-06T15:20:58ZengMDPI AGDairy2624-862X2021-04-0121617919010.3390/dairy2020016Characterization of Chemical and Bacterial Compositions of Dairy WastewatersSabine Alalam0Farah Ben-Souilah1Marie-Hélène Lessard2Julien Chamberland3Véronique Perreault4Yves Pouliot5Steve Labrie6Alain Doyen7Department of Food Sciences, STELA Dairy Research Center, Institute of Nutrition and Functional Foods (INAF), Université Laval, Québec, QC G1V 0A6, CanadaDepartment of Food Sciences, STELA Dairy Research Center, Institute of Nutrition and Functional Foods (INAF), Université Laval, Québec, QC G1V 0A6, CanadaDepartment of Food Sciences, STELA Dairy Research Center, Institute of Nutrition and Functional Foods (INAF), Université Laval, Québec, QC G1V 0A6, CanadaDepartment of Food Sciences, STELA Dairy Research Center, Institute of Nutrition and Functional Foods (INAF), Université Laval, Québec, QC G1V 0A6, CanadaDepartment of Food Sciences, STELA Dairy Research Center, Institute of Nutrition and Functional Foods (INAF), Université Laval, Québec, QC G1V 0A6, CanadaDepartment of Food Sciences, STELA Dairy Research Center, Institute of Nutrition and Functional Foods (INAF), Université Laval, Québec, QC G1V 0A6, CanadaDepartment of Food Sciences, STELA Dairy Research Center, Institute of Nutrition and Functional Foods (INAF), Université Laval, Québec, QC G1V 0A6, CanadaDepartment of Food Sciences, STELA Dairy Research Center, Institute of Nutrition and Functional Foods (INAF), Université Laval, Québec, QC G1V 0A6, CanadaThe dairy industry produces large amounts of wastewater, including white and cleaning wastewater originating principally from rinsing and cleaning-in-place procedures. Their valorization into process water and non-fat milk solids, in the case of white wastewater, or the renewal of cleaning solutions could be achieved using pressure-driven membrane processes. However, it is crucial to determine the intrinsic characteristics of wastewaters, such as proximate composition and bacterial composition, to optimize their potential for valorization. Consequently, white and cleaning wastewaters were sampled from industrial-scale pasteurizers located in two different Canadian dairy processing plants. Bacterial profiles of dairy wastewaters were compared to those of tap waters, pasteurized skim milk and unused cleaning solutions. The results showed that the physicochemical characteristics as well as non-fat milk solids contents differed drastically between the two dairy plants due to different processing conditions. A molecular approach combining quantitative real-time polymerase chain reaction (qPCR) and metabarcoding was used to characterize the bacteria present in these solutions. The cleaning solutions did not contain sufficient genomic DNA for sequencing. In white wastewater, the bacterial contamination differed depending on the dairy plant (6.91 and 7.21 log10 16S gene copies/mL). Psychrotrophic <i>Psychrobacter</i> genus (50%) dominated white wastewater from plant A, whereas thermophilic <i>Anoxybacillus</i> genus (56%) was predominant in plant B wastewater. The use of cold or warm temperatures during the pasteurizer rinsing step in each dairy plant might explain this difference. The detailed characterization of dairy wastewaters described in this study is important for the dairy sector to clearly identify the challenges in implementing strategies for wastewater valorization.https://www.mdpi.com/2624-862X/2/2/16dairy industrywhite wastewatercleaning solutionspressure-driven membrane processes16S rRNAHigh-throughput sequencing
collection DOAJ
language English
format Article
sources DOAJ
author Sabine Alalam
Farah Ben-Souilah
Marie-Hélène Lessard
Julien Chamberland
Véronique Perreault
Yves Pouliot
Steve Labrie
Alain Doyen
spellingShingle Sabine Alalam
Farah Ben-Souilah
Marie-Hélène Lessard
Julien Chamberland
Véronique Perreault
Yves Pouliot
Steve Labrie
Alain Doyen
Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters
Dairy
dairy industry
white wastewater
cleaning solutions
pressure-driven membrane processes
16S rRNA
High-throughput sequencing
author_facet Sabine Alalam
Farah Ben-Souilah
Marie-Hélène Lessard
Julien Chamberland
Véronique Perreault
Yves Pouliot
Steve Labrie
Alain Doyen
author_sort Sabine Alalam
title Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters
title_short Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters
title_full Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters
title_fullStr Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters
title_full_unstemmed Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters
title_sort characterization of chemical and bacterial compositions of dairy wastewaters
publisher MDPI AG
series Dairy
issn 2624-862X
publishDate 2021-04-01
description The dairy industry produces large amounts of wastewater, including white and cleaning wastewater originating principally from rinsing and cleaning-in-place procedures. Their valorization into process water and non-fat milk solids, in the case of white wastewater, or the renewal of cleaning solutions could be achieved using pressure-driven membrane processes. However, it is crucial to determine the intrinsic characteristics of wastewaters, such as proximate composition and bacterial composition, to optimize their potential for valorization. Consequently, white and cleaning wastewaters were sampled from industrial-scale pasteurizers located in two different Canadian dairy processing plants. Bacterial profiles of dairy wastewaters were compared to those of tap waters, pasteurized skim milk and unused cleaning solutions. The results showed that the physicochemical characteristics as well as non-fat milk solids contents differed drastically between the two dairy plants due to different processing conditions. A molecular approach combining quantitative real-time polymerase chain reaction (qPCR) and metabarcoding was used to characterize the bacteria present in these solutions. The cleaning solutions did not contain sufficient genomic DNA for sequencing. In white wastewater, the bacterial contamination differed depending on the dairy plant (6.91 and 7.21 log10 16S gene copies/mL). Psychrotrophic <i>Psychrobacter</i> genus (50%) dominated white wastewater from plant A, whereas thermophilic <i>Anoxybacillus</i> genus (56%) was predominant in plant B wastewater. The use of cold or warm temperatures during the pasteurizer rinsing step in each dairy plant might explain this difference. The detailed characterization of dairy wastewaters described in this study is important for the dairy sector to clearly identify the challenges in implementing strategies for wastewater valorization.
topic dairy industry
white wastewater
cleaning solutions
pressure-driven membrane processes
16S rRNA
High-throughput sequencing
url https://www.mdpi.com/2624-862X/2/2/16
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