Laboratory methods to predict the cleaning behaviour of egg yolk layers in a flow channel

Helbig, Manuel; Zahn, Susann; Böttcher, Kristin; Rohm, Harald; Majschak, Jens‐Peter

doi:10.1016/j.fbp.2018.11.005

Cited by 18 publications

(4 citation statements)

References 48 publications

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“…In addition to the cleaning parameters discussed above, an effective and comprehensive approach to optimise CIP protocols must consider the type and composition of the food deposits, and their corresponding cleaning characteristics -Laboratory methods that predict cleaning behavior are also necessary (Helbig et al, 2019). Palabiyik et al(2015) studied the adhesive and cohesive strength of deposits, such as toothpaste, aiming to design of specific cleaning protocols.…”

Section: Introductionmentioning

confidence: 99%

Cleaning maps: A multi length-scale strategy to approach the cleaning of complex food deposits

Herrera‐Márquez

Serrano-Haro

Vicaria

et al. 2020

Journal of Cleaner Production

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Section: Introductionmentioning

confidence: 99%

Cleaning maps: A multi length-scale strategy to approach the cleaning of complex food deposits

Herrera‐Márquez

Serrano-Haro

Vicaria

et al. 2020

Journal of Cleaner Production

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“…It is apparent from Table 3 that the model gave a good qualitative description of the experimental results. Recently, Helbig et al 46 used differential scanning calorimetry, rheology, optical swelling measurements, and micromanipulation analysis to reflect the complex interactions between soil and surface. According to the results, the micromanipulation method could predict the cleaning performance of EY soils.…”

Section: Resultsmentioning

confidence: 99%

Improving Cleaning Efficiency through the Measurement of Food Fouling Adhesive Strength

Sözeri Atik,

Palabiyik,

Tirpanci Sivri

et al. 2024

ACS Omega

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This study aims to investigate the impacts of factors, including textural properties, surface roughness, and contact angle, on the cleaning performance of food soils and develop a preliminary mathematical model to predict the cleaning score, depending on the soil-surface properties. The force required to remove soil from the surface was determined by a texture analyzer equipped with a newly designed probe. Potato puree and egg yolk soils showed high adhesive forces compared to other deposits. Margarine required the lowest force to detach from the surfaces. A soil-surface characteristic number (SSCN) was constructed from the results of contact angle, roughness, and textural analysis to predict the cleaning score depending on the soil-surface properties. The experimental work presented indicates that a higher SSCN was associated with lower cleaning scores for soil-surface combinations. Furthermore, a predictive model was developed to define the relationship between cleaning scores and SSCN. The applicability of the model was validated by measuring the cleaning performance of caramel and pudding soils on glass, porcelain, and stainless-steel household surfaces by using an automatic method. Therefore, it can be concluded that the SSCN approach can be improved in further studies to predict cleaning scores of soil-surface combinations in the experimental rig or automatic dishwasher.

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“…Measuring soil adhesion forces in situ is difficult because the soil-substrate interactions need to be undisturbed. This has been addressed by the development of micro-and millimanipulation devices (Helbig et al (2019), Herrera-Márquez et al (2020) to compare cleaning of a range of complex food deposits.) whereby blades or wires are moved through a deposit or soil layer at controlled speed.…”

Section: (D) Adhesionmentioning

confidence: 99%

Elucidating the cleaning of complex food soil layers by in-situ measurements

Cuckston¹,

Suleiman²,

Goodwin

et al. 2022

Food and Bioproducts Processing

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Laboratory methods to predict the cleaning behaviour of egg yolk layers in a flow channel

Cited by 18 publications

References 48 publications

Cleaning maps: A multi length-scale strategy to approach the cleaning of complex food deposits

Cleaning maps: A multi length-scale strategy to approach the cleaning of complex food deposits

Improving Cleaning Efficiency through the Measurement of Food Fouling Adhesive Strength

Elucidating the cleaning of complex food soil layers by in-situ measurements

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