蔡维,王羽,高艳娥,等. 植物蛋白肉3D打印工艺参数优化[J]. 农业工程学报,2023,39(12):254-264. DOI: 10.11975/j.issn.1002-6819.202304141
    引用本文: 蔡维,王羽,高艳娥,等. 植物蛋白肉3D打印工艺参数优化[J]. 农业工程学报,2023,39(12):254-264. DOI: 10.11975/j.issn.1002-6819.202304141
    CAI Wei, WANG Yu, GAO Yan'e, et al. Optimization of the process parameters for 3D printing plant protein meat[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2023, 39(12): 254-264. DOI: 10.11975/j.issn.1002-6819.202304141
    Citation: CAI Wei, WANG Yu, GAO Yan'e, et al. Optimization of the process parameters for 3D printing plant protein meat[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2023, 39(12): 254-264. DOI: 10.11975/j.issn.1002-6819.202304141

    植物蛋白肉3D打印工艺参数优化

    Optimization of the process parameters for 3D printing plant protein meat

    • 摘要: 为提高植物蛋白肉3D打印品质,该研究探究了3D打印工艺参数对植物蛋白肉品质的影响。通过单因素试验,分析打印速度、喷嘴高度和挤压流量等3D打印工艺参数对植物蛋白肉的硬度、弹性和咀嚼性的影响。采用Box-Behnken Design响应面试验设计,分别建立硬度、弹性和咀嚼性的多元回归拟合模型,提出基于多目标烟花算法的植物蛋白肉硬度、弹性和咀嚼性的3D打印工艺参数优化方法。研究结果表明,打印速度为49.06 mm/s、喷嘴高度为1.21 mm、挤压流量为80.75 mm3/s时,植物蛋白肉硬度、弹性和咀嚼性分别为43.14 N、2.78 mm、75.92 mJ,与鸡肉品质相似度最高。优化结果与验证性试验结果相比,硬度相对误差为2.21%、弹性相对误差为5.48%、咀嚼性相对误差为2.52%。该研究通过3D打印工艺参数的优化改善了植物蛋白肉的品质,可为高品质植物蛋白肉研究与生产提供参考。

       

      Abstract: Meat demand is ever-increasing the globally, as the constant expansion of animal husbandry leads to massive resource consumption and serious environmental pollution. Plant protein meat (PPM), as the meat analogue, is gradually replacing animal meat to alleviate resource consumption and environmental pollution. The current processing technology of SSPM mainly includes extrusion, spinning, shearing, and 3D printing. As an emerging production technology in the food industry, 3D printing has been successfully applied to the PPM production with personalized nutritional content, shape, texture and taste. The current research focuses mainly on the optimization of ink materials and hydrocolloid components for the PPM using 3D printing. It is lacking in the relationship between process parameters and the quality of PPM, in order to obtain the optimal process parameters. There is still a great quality gap between 3D-printed PPM and animal meat. In this study, the process parameters were optimized for the PPM using 3D printing. A single-factor test was carried out to explore the effects of process parameters, including the print speed, nozzle height and extrusion rate on the hardness, springiness and chewiness of PPM. The multiple regression fitting models of hardness, springiness and chewiness were established by Box-Behnken Design (BBD) response surface test design. As such, an optimal combination was obtained for the hardness, springiness and chewiness using multi-objective fireworks. The results showed that hardness, springiness, and chewiness were achieved in similar chicken quality with the increase in print speed. The quality parameters of PPM deviated from the chicken parameters with the low quality, when the print speed was too high. Furthermore, the PPM shared higher quality characteristics at the print speed of 40-80 mm/s. The hardness, springiness and chewiness tended to be stable with the increase in nozzle height. The 3D printing quality gradually approached the chicken quality. The PPM presented the higher quality characteristics, when the nozzle height was 1.0-1.4 mm. The hardness, springiness and chewiness also tended to be stable with the increase of extrusion rate. Once the extrusion rate was too high, the 3D printing quality of PPM deviated from the chicken quality. The higher quality characteristics of PPM were achieved at the extrusion rate of 57.6-86.4 mm3/s. Design-Expert 13 software was combined to evaluate the single factor and response surface test. The results showed that the nozzle height posed the most significant effect on the hardness of PPM. The extrusion rate had the most significant effect on the springiness of PPM, while the print speed had the most significant effect on the chewiness of PPM. The BBD analysis was used to fit the multiple regression model with the variance analysis, according to the range of optimized process parameters. The optimal 3D printing process parameters were obtained using multi-objective fireworks. Therefore, when the print speed was 49.06 mm/s, the nozzle height was 1.21 mm, and the extrusion rate was 80.75 mm3/s, the hardness of PPM was 43.14 N, the springiness was 2.78 mm, and the chewiness was 75.92 mJ, indicating the highest similarity with the chicken quality. The errors of the hardness, springiness and chewiness were 2.21 %, 5.48 % and 2.52 %, respectively, compared with the confirmatory test. The quality of PPM was improved using the optimal 3D printing process parameters. The finding can provide a strong reference for the high-quality PPM production.

       

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