Chirico Scheele Stefania, Hartmann Christina, Siegrist Michael, Binks Martin, Egan Paul F
Department of Mechanical Engineering, Texas Tech University, Lubbock, Texas, USA.
Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.
3D Print Addit Manuf. 2022 Dec 1;9(6):473-482. doi: 10.1089/3dp.2020.0271. Epub 2022 Dec 13.
Additive manufacturing enables the production of complex structures with emerging approaches showing great promise in the food industry for design customization. Three-dimensional food printing has benefits for providing personalized health and shape fabrication for consumers. Past studies have demonstrated positive consumer perceptions for 3D food printing, but there is still a need for consumer validation of the technology through consumption and rating of fabricated 3D-printed foods. This article measures consumer response on shape, taste, and fidelity for 3D-printed food designs. Participants ( = 28) were presented with a series of designs differing in shape complexity and ingredients (marzipan and chocolate) and provided ratings using a visual analog scale (100 mm line). The results show that fabricated shapes with higher complexity were preferred by participants with 8.8 ± 0.3 ratings over lower complexity shapes with 5.5 ± 0.4 ratings. Taste preference was primarily dependent on the material selection, with chocolate material preferred by participants with 8.2 ± 0.5 ratings over marzipan material with 6.0 ± 0.5. Results demonstrated that participants preferred 3D-printed shapes that achieved high fidelity in recreating their computer-aided design (CAD) with 7.3 ± 0.3 ratings that were greater than 5.5 ± 0.5 for low-fidelity prints. These findings demonstrate first measurements of 3D food printing from a consumer perspective and provide a foundation for future studies on personalized manufacturing and nutrition.
增材制造能够利用新兴方法生产复杂结构,这些方法在食品行业的设计定制方面显示出巨大潜力。三维食品打印在为消费者提供个性化健康食品和塑形方面具有优势。过去的研究表明消费者对3D食品打印持积极看法,但仍需要通过食用和对3D打印食品进行评级来让消费者验证该技术。本文衡量了消费者对3D打印食品设计在形状、口味和逼真度方面的反应。研究人员向28名参与者展示了一系列形状复杂度和成分(杏仁蛋白软糖和巧克力)不同的设计,并使用视觉模拟量表(100毫米线)让他们进行评分。结果显示,形状复杂度较高的打印形状更受参与者青睐,其评分为8.8±0.3,而复杂度较低的形状评分为5.5±0.4。口味偏好主要取决于材料选择,巧克力材料更受参与者喜爱,评分为8.2±0.5,而杏仁蛋白软糖材料评分为6.0±0.5。结果表明,参与者更喜欢在重现计算机辅助设计(CAD)时具有高逼真度的3D打印形状,其评分为7.3±0.3,高于低逼真度打印形状的5.5±0.5。这些发现首次从消费者角度对3D食品打印进行了测量,并为未来关于个性化制造和营养的研究奠定了基础。