Efficiency assessment of water reclamation processes in milk protein concentrate manufacturing plants: A predictive analysis

Chamberland, Julien; Bouyer, Amandine; Benoit, Scott; Provault, Céline; Bérubé, Amélie; Doyen, Alain; Pouliot, Yves

doi:10.1016/j.jfoodeng.2019.109811

Cited by 10 publications

(7 citation statements)

References 27 publications

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“…For these reasons, membrane processes are often recognized as the best available technology (BAT) in the food industry [ 2 , 3 , 4 ]. Among pressure-driven membrane processes, ultrafiltration (UF) has been extensively applied in the treatment of industrial effluents [ 5 , 6 , 7 , 8 , 9 , 10 ], oil-based emulsions [ 11 , 12 , 13 , 14 ], biological macromolecules [ 15 , 16 , 17 ], milk [ 18 , 19 , 20 ], sugar cane [ 21 , 22 ], extracts of soybean flour [ 23 ], clay suspensions [ 24 ], black kraft liquor [ 25 ], and fruit juices [ 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 ] among others. Within the fruit juice industry, bergamot, kiwifruit, and pomegranate have great importance in the market, not only for their volume of production, but also because they are characterized by a high concentration of phytochemicals which are recognized to be associated with antioxidant activities within others.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Permeate Flux in Ultrafiltration Processes: A Review of Modeling Approaches

et al. 2021

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In any membrane filtration, the prediction of permeate flux is critical to calculate the membrane surface required, which is an essential parameter for scaling-up, equipment sizing, and cost determination. For this reason, several models based on phenomenological or theoretical derivation (such as gel-polarization, osmotic pressure, resistance-in-series, and fouling models) and non-phenomenological models have been developed and widely used to describe the limiting phenomena as well as to predict the permeate flux. In general, the development of models or their modifications is done for a particular synthetic model solution and membrane system that shows a good capacity of prediction. However, in more complex matrices, such as fruit juices, those models might not have the same performance. In this context, the present work shows a review of different phenomenological and non-phenomenological models for permeate flux prediction in UF, and a comparison, between selected models, of the permeate flux predictive capacity. Selected models were tested with data from our previous work reported for three fruit juices (bergamot, kiwi, and pomegranate) processed in a cross-flow system for 10 h. The validation of each selected model's capacity of prediction was performed through a robust statistical examination, including a residual analysis. The results obtained, within the statistically validated models, showed that phenomenological models present a high variability of prediction (values of R-square in the range of 75.91–99.78%), Mean Absolute Percentage Error (MAPE) in the range of 3.14–51.69, and Root Mean Square Error (RMSE) in the range of 0.22–2.01 among the investigated juices. The non-phenomenological models showed a great capacity to predict permeate flux with R-squares higher than 97% and lower MAPE (0.25–2.03) and RMSE (3.74–28.91). Even though the estimated parameters have no physical meaning and do not shed light into the fundamental mechanistic principles that govern these processes, these results suggest that non-phenomenological models are a useful tool from a practical point of view to predict the permeate flux, under defined operating conditions, in membrane separation processes. However, the phenomenological models are still a proper tool for scaling-up and for an understanding the UF process.

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Section: Introductionmentioning

confidence: 99%

Prediction of Permeate Flux in Ultrafiltration Processes: A Review of Modeling Approaches

et al. 2021

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“…Specific energy consumption (SEC) and energy efficiency ( η ) were calculated to analyses the energy consumption for RW and CC milk concentration (Equations 1‐2) (Chamberland et al., 2020).

S E C (kJ / kg) = \frac{Q_{in}}{M_{w}}

η = \frac{Q_{0}}{Q_{in}} \times 100

where, Q in , Q o and M w are input, output energy (kJ) and mass of evaporated water (kg).…”

Section: Methodsmentioning

confidence: 99%

Optimization of process variables on physicochemical properties of milk during an innovative refractance window concentration

Al‐Hilphy

Ali

Al‐IEssa

et al. 2020

J. Food Process. Preserv.

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Cow milk is a nutritionally valuable product containing many of the essential macro and micronutrients including proteins, carbohydrates, fats, minerals, vitamins, and bioactive components (Al-HilphyShirkole, Ali, & Mohsin, 2019; Stratakos et al., 2019). Milk produced in the farm is usually processed to enhance its safety and shelf-life or to produce several dairy products (Musina et al., 2018; Stratakos et al., 2019). For example, the shelf-life of the milk can be enhanced by producing condensed milk which involves evaporative operations (Guimarães, Martins, Flauzino, Basso, & Telis Romero, 2020). Also, milk and whey protein powders can be produced through the evaporation process to be used in dairy product formulation (Musina et al., 2018). In either case, retaining the quality

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“…However, the applied different technological set‐ups to achieve the required purity also entail additional processing effort and energy consumption (Van Asselt and Weeks 2013; Galvão 2018; Chamberland et al . 2020; Pires et al . 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Current approaches of the dairy sector mainly aim at the reuse of such side streams as purified water to reduce freshwater consumption and effluent load. However, the applied different technological set-ups to achieve the required purity also entail additional processing effort and energy consumption (Van Asselt and Weeks 2013;Galvão 2018;Chamberland et al 2020;Pires et al 2021). The direct utilisation of aqueous side streams, for example diafiltration (DF) medium during microfiltration (MF) or ultrafiltration (UF) of skim milk to obtain the proteins in fractionated form, could result in a more sustainable state of processing (Van Asselt and Weeks 2013).…”

Section: Introductionmentioning

confidence: 99%

“…During cross-flow microfiltration in DF mode aiming at mitigating membrane fouling by the retained fraction, minor components are gradually transferred by the aqueous phase into the permeate. Diafiltration requires the use of large volumes of a washing/DF medium to achieve the typically desired high purity of the retained protein phase (Tomasula and Bonnaillie 2015;Chamberland et al 2020). Therefore, this industrial process offers a high potential for the direct reuse of available dairy side streams; however, their applicability will highly depend on their chemical composition.…”

Section: Introductionmentioning

confidence: 99%

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Compositional analysis of dairy side streams and assessment of their applicability as diafiltration media

Reitmaier

Kulozik

2022

Int J of Dairy Tech

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The direct utilisation of side streams from membrane processing and evaporation is of great potential interest for dairies to reduce water consumption. In an analytical screening of 89 industrially obtained processing side streams, samples varied in pH and conductivity in broad ranges of 4.22 to 7.56 and 0.001 to 0.949 Siemens per meter, respectively. Detailed compositional data of the side streams enabled an assessment of their applicability as diafiltration (DF) media for milk protein purification during microfiltration (MF) or ultrafiltration (UF). Microfiltration experiments with simulated nanofiltration (NF) permeates showed that slight compositional variations of DF media can significantly affect milk filtration performance.

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Efficiency assessment of water reclamation processes in milk protein concentrate manufacturing plants: A predictive analysis

Cited by 10 publications

References 27 publications

Prediction of Permeate Flux in Ultrafiltration Processes: A Review of Modeling Approaches

Prediction of Permeate Flux in Ultrafiltration Processes: A Review of Modeling Approaches

Optimization of process variables on physicochemical properties of milk during an innovative refractance window concentration

Compositional analysis of dairy side streams and assessment of their applicability as diafiltration media

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