Detection of Carrageenan in Meat Products Using Lectin Histochemistry

Real-time quantitative detection of hydrocolloid adulteration in meat based on Swin Transformer and smartphone

Hydrocolloids are widely used in meat products as common food additives. However, research has indicated that excessive consumption of these hydrocolloids may have potential health implications. Currently, consumers mainly rely on sensory evaluation to identify hydrocolloid adulteration in meat products. Although many studies on quantitative detection of hydrocolloids have been conducted by biochemical methods in laboratory environments, there is currently a lack of effective tools for consumers and regulators to obtain real-time and reliable information on hydrocolloid adulteration. To address this challenge, a smartphone-based computer vision method was developed to quantitatively detect carrageenan adulteration in beef in this work. Specifically, Swin Transformer models, along with pre-training and fine-tuning techniques, were used to successfully automate the classification of beef into nine different levels of carrageenan adulteration, ranging from 0% to 20%. Among the tested models, Swin-Tiny (Swin-T) achieved the highest trade-off performance, with a Top-1 accuracy of 0.997, a detection speed of 3.2 ms, and a model size of 103.45 Mb. Compared to computer vision, the electrochemical impedance spectroscopy achieved a lower accuracy of 0.792 and required a constant temperature environment and a waiting time of around 30 min for data stabilization. In addition, Swin-T model was also capable of distinguishing between different types of hydrocolloids with a Top-1 accuracy of 0.975. This study provides consumers and regulators with a valuable tool to obtain real-time quantitative information about meat adulteration anytime, anywhere. PRACTICAL APPLICATION: This research provides a practical solution for regulators and consumers to non-destructively and quantitatively detect the content and type of hydrocolloids in beef in real-time using smartphones. This innovation has the potential to significantly reduce the costs associated with meat quality testing, such as the use of chemical reagents and expensive instruments.

Mycoprotein as chicken meat substitute in nugget formulation: Physicochemical and sensorial characterization

The aim of this study was to replace chicken breast by mycoprotein in nuggets and optimizing the sensory and technological properties. In the first step of the study, 14 formulations were prepared by mixture design to evaluate the impact of three binding agents (as independent variables): soy protein isolate, phosphate, and carrageenan on sensory properties. Then, the optimized formulation of mycoprotein nugget (with higher acceptability) was characterized and compared to chicken nugget (control) from texture, color, and physicochemical aspects. The texture attributes including hardness, springiness, cohesiveness, and chewiness of the optimized sample (1.37 kg, 0.70 mm, 0.56, and 0.53 kg.mm) had no significant difference (p > .05) compared to control. Based on the results, optimized sample had a lower lightness and yellowness (a*, b*, and L* were 3.06, 18.62, and 59.23, respectively) rather than the similar value of the control (2.20, 21.27, and 79.10, respectively), which indicated carrageenan did not lead to any significant impact (p > .05) on the color. Also, mycoprotein nugget showed 33% lower cooking loss in comparison to control. Moisture, protein, lipid, and ash in optimized sample were 57.9 ± 1.9, 24.1 ± 1.0, 13.2 ± 1.2, and 2.1 ± 0.5, respectively. Investigation on physicochemical properties shows an acceptable characterization in optimized sample in comparison to control. The results of this study present an opportunity to produce nonmeat nuggets with similar texture and acceptable sensory and technological characteristics by using mycoprotein as meat alternative. The production of mycoprotein is eco-friendly, not dependent on climate (flood and drought) and landscape limitation, which is an important aspect in meat alternatives in the near future.