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加工、营销及人口统计学因素对消费者对豆类奶认知的影响综述——来自传统研究与人工智能辅助研究的见解

A Review of Processing, Marketing, and Demographic Influence on Consumer Perception of Pulse Milk- Insights From Traditional and AI-Facilitated Research.

作者信息

Ifeh Chidimma, Whitaker Bradley, Nazemi Neda, Greenwood Mark, Miles Mary, Kuo Wan-Yuan

机构信息

Department of Food Systems, Nutrition and Kinesiology, Montana State University, Bozeman, Montana, USA.

Department of Electrical and Computer Engineering, Montana State University, Bozeman, Montana, USA.

出版信息

J Food Sci. 2025 Jul;90(7):e70403. doi: 10.1111/1750-3841.70403.

DOI:10.1111/1750-3841.70403
PMID:40660482
Abstract

Sustainable, healthy, and environmental concerns are part of the reasons consumers are shifting to plant-based diets, such as plant-based milk, which has reduced greenhouse gas emissions and water footprint as an advantage over animal-based diets. Pulse crops such as lentils, lupins, chickpeas, and peas offer nutritious and health benefits, containing proteins, dietary fiber, and low-fat content, as well as soil health restoration and cropping diversification as environmental benefits. Pulse milk is gaining popularity as one of the broader plant-based milk categories that offer beneficial dairy alternatives. This review summarizes the impact of processing, marketing, and demographic variables and how they influence consumer perception of pulse milk. We also highlighted insights from artificial intelligence (AI) and traditional research methods to understand consumer choices. The consumer acceptance of pulses faces some challenges despite their benefits, related to sensory attributes such as beany, earthy, and grassy off-flavors and the lack of culinary knowledge amongst consumers. The lower government subsidies for pulses compared to common crops and the lack of sustainability benefits awareness by some consumers limit pulse crop production. Advanced processing techniques like enzymatic treatments and homogenization can enhance pulse milk sensory quality. Marketing strategies tailored to target different demographics can encourage consumption. When developing a food product, analyzing relationships becomes difficult when there are multi-faceted variables to consider. The gap in traditional research methods can be bridged with AI-facilitated methods in predicting consumer preferences in product development. Further research is needed to enhance the nutritional and sensory quality of pulse milk.

摘要

可持续性、健康和环境问题是消费者转向植物性饮食的部分原因,例如植物基牛奶,与动物性饮食相比,它具有减少温室气体排放和降低水足迹的优势。小扁豆、羽扇豆、鹰嘴豆和豌豆等豆类作物具有营养和健康益处,含有蛋白质、膳食纤维且脂肪含量低,同时还具有恢复土壤健康和使作物多样化的环境效益。豆类奶作为提供有益乳制品替代品的更广泛植物基奶类别之一,正越来越受欢迎。本综述总结了加工、营销和人口统计学变量的影响,以及它们如何影响消费者对豆类奶的认知。我们还强调了人工智能(AI)和传统研究方法在理解消费者选择方面的见解。尽管豆类有诸多益处,但消费者对其接受度仍面临一些挑战,这些挑战与诸如豆腥味、土腥味和草腥味等感官特性以及消费者缺乏烹饪知识有关。与常见作物相比,政府对豆类的补贴较低,且一些消费者缺乏对可持续性益处的认识,这限制了豆类作物的生产。酶处理和均质化等先进加工技术可以提高豆类奶的感官品质。针对不同人口群体量身定制的营销策略可以鼓励消费。在开发食品产品时,当需要考虑多方面变量时,分析各种关系会变得困难。在产品开发中预测消费者偏好时,人工智能辅助方法可以弥补传统研究方法的不足。需要进一步研究以提高豆类奶的营养和感官品质。

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