当前位置: X-MOL 学术J. Clean. Prod. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Cleaning maps: A multi length-scale strategy to approach the cleaning of complex food deposits
Journal of Cleaner Production ( IF 11.1 ) Pub Date : 2020-03-25 , DOI: 10.1016/j.jclepro.2020.121254
Otilia Herrera-Márquez , Mireya Serrano-Haro , José M. Vicaria , Encarnación Jurado , Aylin R. Fraatz-Leál , Zhenyu Jason Zhang , Peter J. Fryer , Alejandro Avila-Sierra

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.



中文翻译:

清洁图:一种多尺度策略来清洁复杂的食物沉积物

研究了不锈钢表面脂肪/淀粉沉积物的去除,分析了多种因素的影响,例如脂肪/淀粉比例(0-100%),pH(3-13.2),温度(40-50°C),时间( 10-20分钟),表面活性剂(1 g / L线性烷基苯磺酸盐)和α-淀粉酶和脂肪酶(0.2 g / L)。为了评估清洁效果,使用了测量沉积在特定基材上的内聚力和粘附力的微处理技术以及模拟工业现场清洁系统的设备。“清洁图”用于可视化去污力,发现高淀粉含量的沉积物需要碱性溶液才能达到高去污力值(在50°C时接近85%)。随着淀粉浓度的降低,这些复杂沉积物对机械去除的抵抗力从牢固的粘合和内聚相互作用变为内聚力降低。对于高脂肪含量的沉积物,在50°C下使用测试的化学溶液达到最高去污力值(接近80%),pH = 7的溶液可以减少清洁过程对环境的影响。对于具有低内聚力/粘附力的沉积物,不需要化学作用即可达到所需的清洁效率。使用α-淀粉酶或脂肪酶(0.2 g / L)不能显着改善清洁度,这表明不建议将其用于高淀粉或高脂肪的沉积物。测试的化学溶液在50°C时达到最高去污力值(接近80%),pH = 7的溶液可以减少清洗过程对环境的影响。对于具有低内聚力/粘附力的沉积物,不需要化学作用即可达到所需的清洁效率。使用α-淀粉酶或脂肪酶(0.2 g / L)不能显着改善清洁度,这表明不建议将其用于高淀粉或高脂肪的沉积物。测试的化学溶液在50°C时达到最高的去污力值(接近80%),pH = 7的溶液可以减少清洗过程对环境的影响。对于具有低内聚力/粘附力的沉积物,不需要化学作用即可达到所需的清洁效率。使用α-淀粉酶或脂肪酶(0.2 g / L)不能显着改善清洁度,这表明不建议将其用于高淀粉或高脂肪的沉积物。

多尺度的“清洁图策略”被证明是一种可视化的罪人因素对脂肪/淀粉沉积物清洁效果的有效方法,可以选择最合适的条件以在最低的环境影响下达到要求的清洁度。

更新日期:2020-03-26
down
wechat
bug