ReviewJournal of food science2025
A Review of Processing, Marketing, and Demographic Influence on Consumer Perception of Pulse Milk- Insights From Traditional and AI-Facilitated Research.
Review in Journal of food science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.