Matching the nano- to the meso-scale: Measuring deposit–surface interactions with atomic force microscopy and micromanipulation

Improving Cleaning Efficiency through the Measurement of Food Fouling Adhesive Strength

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.

Understanding stickiness in sugar-rich food systems: A review of mechanisms, analyses, and solutions of adhesion

Stickinessis an inherent textural property in many sugar-rich foods, which can be problematic to the processing of confectionery products. The adhesion between foods and contact surfaces during processing and consumption has not been well understood in academia or industry. The theories of adhesion were discovered by scientists in the adhesive field of study, some of which can explain the stickiness phenomenon of confections. This work reviewed these theories in the context of sugar-rich foods, followed by a survey on the sensory and instrumental analyses of stickiness. Furthermore, the contributions of ingredients, temperature, compression, and contact surfaces to sugar-rich food adhesion are highlighted.

Comparison of flow characteristics in a bench-scale system with commercial-scale pipelines: Use of computational fluid dynamics (CFD)

The challenges for scale-up are often encountered in cleaning operations during the interpretation of data from clean-in-place (CIP) research. The objective of this investigation was to design and characterize flow characteristics in a bench-scale system in a manner that evaluates scale-up to a commercial-scale CIP operation. A bench-scale temperature-controlled vessel was designed for evaluation of in-place cleaning, and for development of scale-up parameters. The wall shear stress was selected as the parameter for the comparison, as it is the significant parameter associated with deposit removal. Using the traditional prediction models, the wall shear stress of bench-scale ranged 0.015 to 4.99 Pa with impeller speeds from 50 to 900 rpm. For the commercial-scale with 0.022 m of inside diameter, prediction ranged from 1.43 to 7.90 Pa with the mean fluid velocity from 0.72 to 1.67 m/s. Computational fluid dynamics (CFD) was used to predict wall shear stress on the surfaces within the bench-scale and commercial-scale systems. The predicted wall shear stress values ranged from 0.016 to 2.42 Pa for surfaces within the bench-scale system, and from 1.33 to 7.20 Pa for the commercial-scale system. The differences between two calculation methods are attributed to the averaging the magnitude over the whole area and the overestimation of friction coefficients employed in the traditional prediction. The results confirm that CFD provided more reliable wall shear stress estimates for surfaces of interest. The wall shear stress estimates for a bench-scale compare favorably to estimates for a commercial-scale pie section in a CIP system. PRACTICAL APPLICATION: The current investigation demonstrates that the computational fluid dynamics (CFD) simulation provides accurate estimates for the scale-up parameters. Both academic and industrial researchers will benefit from the proposed methodologies to compare the flow properties of the bench-scale and commercial-scale CIP operation that facilitate the practical implementation of the systems.

Contribution of the shear wave ultrasonic reflectometry to the stickiness measurements

Today, non-invasive quantification of the adhesion of a deposit to a surface is always a challenge and, unfortunately, few tools are available in this area. This is an obstacle, in several industrial processes, to the identification of conditions limiting the fouling and to the establishment of eco-efficient cleaning strategies. In this paper, a non-invasive ultrasonic technique was developed in the aim of characterizing the adhesion of viscoelastic fluids or solid deposited on a substrate. We adopted the idea that the more a deposit is difficult to clean the more adherent it is. From this point of view the value of the reflection coefficient of an ultrasonic shear wave informs us about the adhesion of the deposit on a surface. A large bibliography on the adhesion measurement is given. Then the principle of ultrasonic test is presented and cares required for the measurement of the reflection coefficient are widely discussed. The ultrasonic reflection coefficients obtained with different controlled samples covering a wide range of interfaces (liquid/substrate, solid/substrate) are presented and compared with other indicators of adhesion. All the data on various samples showed that the ultrasonic test is a tool to discriminate non-destructively a large range of interface quality, allowing ranking according to the adhesive strength.