the availability of information about food products may be an essential factor in the consumer's value perception in their purchasing decision. As the food product becomes personalized, the customization of this information becomes complex due to the possible combinations of product components. The use of smart technology in devices is one way to provide customers with customized food information. In the following research five attributes were identified in the composition of these devices: (A) portability; (B) precision; (C) diet customization; (D) food quality analysis; and (E) price. This study aims to identify the appropriate combination of possible functionalities or attributes that must be present in a device in order to detect the food composition of customized foods and their relation to market characteristics. One experiment used fractional factorial project to present the attributes in the form of scenarios following the Choice-Based Conjoint Analysis (CBCA) method. The data collection was done using survey methodology, through online questionnaire, with some 303 Brazilian respondents. So, the Logistic Regression was applied to data analysis. The moderating variables—gender, age, gluten restriction, lactose restriction and other restrictions—were also added to verify potential interactions with the primary attributes. From the results obtained, it was possible to observe higher significance for the primary attributes of diet personalization and quality food analyzes function. Our study contributes to the literature by enhancing the understanding about what the attributes should be in a technological device that has the purpose of recognizing food characteristics and is capable of generating information about customized food products. Furthermore, this device can enabler the production of mass customized food with the nutritional labels for each possible combination.

食品信息的可获得性可能是消费者在购买决策中对价值的感知的重要因素。随着食品变得个性化，由于产品成分的可能组合，此信息的定制变得复杂。在设备中使用智能技术是向客户提供定制的食品信息的一种方式。在以下研究中，在这些设备的组成中确定了五个属性：（A）便携性；（B）精度；（三）饮食定制；（四）食品质量分析；和（E）价格。本研究旨在确定设备中必须存在的可能功能或属性的适当组合，以检测定制食品的食品成分及其与市场特征的关系。一项实验使用分数阶乘项目，按照基于选择的联合分析（CBCA）方法以场景的形式呈现属性。数据收集是使用调查方法，通过在线问卷调查和大约303名巴西受访者完成的。因此，将Logistic回归应用于数据分析。还添加了适度变量（性别，年龄，面筋限制，乳糖限制和其他限制）以验证与主要属性的潜在相互作用。从获得的结果来看，有可能在饮食个性化和优质食品分析功能的主要属性方面具有更高的意义。我们的研究通过增强对旨在识别食品特征并能够生成有关定制食品信息的技术设备应具有的属性的理解，从而为文献做出了贡献。此外，该设备可以为每个可能的组合生产带有营养标签的大量定制食物。