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

Research output: Contribution to journal › Article › peer-review

Standard

Cleaning maps : a multi length-scale strategy to approach the cleaning of complex food deposits. / Herrera-márquez, Otilia; Serrano-haro, Mireya; Vicaria, José M.; Jurado, Encarnación; Fraatz-leál, Aylin R.; Zhang, Zhenyu Jason; Fryer, Peter J.; Avila-sierra, Alejandro.

In: Journal of Cleaner Production, Vol. 261, 121254, 10.07.2020.

Research output: Contribution to journal › Article › peer-review

Harvard

Herrera-márquez, O, Serrano-haro, M, Vicaria, JM, Jurado, E, Fraatz-leál, AR, Zhang, ZJ, Fryer, PJ & Avila-sierra, A 2020, 'Cleaning maps: a multi length-scale strategy to approach the cleaning of complex food deposits', Journal of Cleaner Production, vol. 261, 121254. https://doi.org/10.1016/j.jclepro.2020.121254

APA

Herrera-márquez, O., Serrano-haro, M., Vicaria, J. M., Jurado, E., Fraatz-leál, A. R., Zhang, Z. J., Fryer, P. J., & Avila-sierra, A. (2020). Cleaning maps: a multi length-scale strategy to approach the cleaning of complex food deposits. Journal of Cleaner Production, 261, [121254]. https://doi.org/10.1016/j.jclepro.2020.121254

Vancouver

Herrera-márquez O, Serrano-haro M, Vicaria JM, Jurado E, Fraatz-leál AR, Zhang ZJ et al. Cleaning maps: a multi length-scale strategy to approach the cleaning of complex food deposits. Journal of Cleaner Production. 2020 Jul 10;261. 121254. https://doi.org/10.1016/j.jclepro.2020.121254

Author

Herrera-márquez, Otilia ; Serrano-haro, Mireya ; Vicaria, José M. ; Jurado, Encarnación ; Fraatz-leál, Aylin R. ; Zhang, Zhenyu Jason ; Fryer, Peter J. ; Avila-sierra, Alejandro. / Cleaning maps : a multi length-scale strategy to approach the cleaning of complex food deposits. In: Journal of Cleaner Production. 2020 ; Vol. 261.

Bibtex

@article{351519f24ad34ae199d81fe6a799c7a6,
title = "Cleaning maps: a multi length-scale strategy to approach the cleaning of complex food deposits",
abstract = "The removal of fat/starch deposit from stainless steel surfaces was investigated analysing the influence of several factors such as fat/starch proportion (0–100%), pH (3–13.2), temperature (40–50 °C), time (10–20min), surfactant (1 g/L linear alkylbenzenesulfonate) and α-amylase and lipase (0.2 g/L). To evaluate cleaning effectiveness, both a micromanipulation technique which measures cohesion and adhesion forces of deposits upon specific substrates and a device which simulates an industrial Cleaning-in-Place system, were used. “Cleaning maps” were used to visualise detergency, finding that deposits with high-starch content required alkaline solutions for reaching high detergency values (close to 85% at 50 °C). The resistance of these complex deposits to mechanical removal changed from strong adhesive and cohesive interactions to reduced cohesive forces as the starch concentration diminished. For deposits with high fat content, the highest detergency value (close to 80%) was reached at 50 °C with the chemical solutions tested, being pH = 7 the solution which could reduce the environmental impact of the cleaning process. For deposits, which showed low cohesive/adhesive forces, chemical action was not required to reach the required cleaning efficiency. The use of α-amylase or lipase (0.2 g/L) did not significantly improve cleaning, suggesting it is not recommended for either high-starch or high-fat deposits.The multiscale “cleaning map strategy” is shown to be an effective approach to visualise the influence of Sinner factors on the cleaning of fat/starch deposits, allowing selection of the most appropriate conditions to achieve the required level of cleanliness with the lowest environmental impact.",
keywords = "Cleaning map, Complex deposits, Starch-fat, Cleaning-in-place, Micromanipulation",
author = "Otilia Herrera-m{\'a}rquez and Mireya Serrano-haro and Vicaria, {Jos{\'e} M.} and Encarnaci{\'o}n Jurado and Fraatz-le{\'a}l, {Aylin R.} and Zhang, {Zhenyu Jason} and Fryer, {Peter J.} and Alejandro Avila-sierra",
year = "2020",
month = jul,
day = "10",
doi = "10.1016/j.jclepro.2020.121254",
language = "English",
volume = "261",
journal = "Journal of Cleaner Production",
issn = "0959-6526",
publisher = "Elsevier Korea",

}

RIS

TY - JOUR

T1 - Cleaning maps

T2 - a multi length-scale strategy to approach the cleaning of complex food deposits

AU - Herrera-márquez, Otilia

AU - Serrano-haro, Mireya

AU - Vicaria, José M.

AU - Jurado, Encarnación

AU - Fraatz-leál, Aylin R.

AU - Zhang, Zhenyu Jason

AU - Fryer, Peter J.

AU - Avila-sierra, Alejandro

PY - 2020/7/10

Y1 - 2020/7/10

N2 - The removal of fat/starch deposit from stainless steel surfaces was investigated analysing the influence of several factors such as fat/starch proportion (0–100%), pH (3–13.2), temperature (40–50 °C), time (10–20min), surfactant (1 g/L linear alkylbenzenesulfonate) and α-amylase and lipase (0.2 g/L). To evaluate cleaning effectiveness, both a micromanipulation technique which measures cohesion and adhesion forces of deposits upon specific substrates and a device which simulates an industrial Cleaning-in-Place system, were used. “Cleaning maps” were used to visualise detergency, finding that deposits with high-starch content required alkaline solutions for reaching high detergency values (close to 85% at 50 °C). The resistance of these complex deposits to mechanical removal changed from strong adhesive and cohesive interactions to reduced cohesive forces as the starch concentration diminished. For deposits with high fat content, the highest detergency value (close to 80%) was reached at 50 °C with the chemical solutions tested, being pH = 7 the solution which could reduce the environmental impact of the cleaning process. For deposits, which showed low cohesive/adhesive forces, chemical action was not required to reach the required cleaning efficiency. The use of α-amylase or lipase (0.2 g/L) did not significantly improve cleaning, suggesting it is not recommended for either high-starch or high-fat deposits.The multiscale “cleaning map strategy” is shown to be an effective approach to visualise the influence of Sinner factors on the cleaning of fat/starch deposits, allowing selection of the most appropriate conditions to achieve the required level of cleanliness with the lowest environmental impact.

AB - The removal of fat/starch deposit from stainless steel surfaces was investigated analysing the influence of several factors such as fat/starch proportion (0–100%), pH (3–13.2), temperature (40–50 °C), time (10–20min), surfactant (1 g/L linear alkylbenzenesulfonate) and α-amylase and lipase (0.2 g/L). To evaluate cleaning effectiveness, both a micromanipulation technique which measures cohesion and adhesion forces of deposits upon specific substrates and a device which simulates an industrial Cleaning-in-Place system, were used. “Cleaning maps” were used to visualise detergency, finding that deposits with high-starch content required alkaline solutions for reaching high detergency values (close to 85% at 50 °C). The resistance of these complex deposits to mechanical removal changed from strong adhesive and cohesive interactions to reduced cohesive forces as the starch concentration diminished. For deposits with high fat content, the highest detergency value (close to 80%) was reached at 50 °C with the chemical solutions tested, being pH = 7 the solution which could reduce the environmental impact of the cleaning process. For deposits, which showed low cohesive/adhesive forces, chemical action was not required to reach the required cleaning efficiency. The use of α-amylase or lipase (0.2 g/L) did not significantly improve cleaning, suggesting it is not recommended for either high-starch or high-fat deposits.The multiscale “cleaning map strategy” is shown to be an effective approach to visualise the influence of Sinner factors on the cleaning of fat/starch deposits, allowing selection of the most appropriate conditions to achieve the required level of cleanliness with the lowest environmental impact.

KW - Cleaning map

KW - Complex deposits

KW - Starch-fat

KW - Cleaning-in-place

KW - Micromanipulation

U2 - 10.1016/j.jclepro.2020.121254

DO - 10.1016/j.jclepro.2020.121254

M3 - Article

VL - 261

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

M1 - 121254

ER -