Evidence map›Paper›PMID 40660482›Full record

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.

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

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chidimma IfehDepartment of Food Systems, Nutrition and Kinesiology, Montana State University, Bozeman, Montana, USA.
Bradley WhitakerDepartment of Electrical and Computer Engineering, Montana State University, Bozeman, Montana, USA.
Neda NazemiDepartment of Computer Science, Montana State University, Bozeman, Montana, USA.ORCID https://orcid.org/0000-0003-0903-3223
Mark GreenwoodDepartment of Mathematical Sciences, Montana State University, Bozeman, Montana, USA.
Mary MilesDepartment of Food Systems, Nutrition and Kinesiology, Montana State University, Bozeman, Montana, USA.
Wan-Yuan KuoDepartment of Food Systems, Nutrition and Kinesiology, Montana State University, Bozeman, Montana, USA.ORCID https://orcid.org/0000-0003-0057-1009

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial IntelligenceConsumer BehaviorFood HandlingMarketingAnimalsHumansTasteartificial intelligenceplant‐based milkproduct developmentsensorysustainability

Identifiers

PMID40660482
PMCPMC12260306

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.