Improved properties of high-moisture extruded meat analogs using ultrasound-treated Nannochloropsis gaditana and chickpea protein concentrate.

Lu Lu, Jian Zhu, Yating Sun, Hang Yu, Weibiao Zhou

Abstract read

In one paragraph

Article in Ultrasonics sonochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Linking Structural and Mechanical Properties to Multimodal Sensory Perception of Fibrousness in Plant-Based Meat Analogs.Journal of texture studies · 2026
Article

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

5 authors.

Lu LuBezos Centre for Sustainable Protein at the National University of Singapore, 2 Science Drive 2, 117542, Singapore; Department of Food Science and Technology, National University of Singapore, 2 Science Drive 2, 117542, Singapore; National University of Singapore (Suzhou) Research Institute, 377 Linquan Street, Suzhou Industrial Park, Jiangsu 215123, China.

Jian ZhuBezos Centre for Sustainable Protein at the National University of Singapore, 2 Science Drive 2, 117542, Singapore; Department of Food Science and Technology, National University of Singapore, 2 Science Drive 2, 117542, Singapore.

Yating SunDepartment of Food Science and Technology, National University of Singapore, 2 Science Drive 2, 117542, Singapore.

Hang YuState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China. Electronic address: hangyu@jiangnan.edu.cn.

Weibiao ZhouBezos Centre for Sustainable Protein at the National University of Singapore, 2 Science Drive 2, 117542, Singapore; Department of Food Science and Technology, National University of Singapore, 2 Science Drive 2, 117542, Singapore; National University of Singapore (Suzhou) Research Institute, 377 Linquan Street, Suzhou Industrial Park, Jiangsu 215123, China. Electronic address: weibiao@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research studied ultrasound treatment for improving the quality of meat analogs made from Nannochloropsis gaditana and chickpea protein concentrate (CP) via high-moisture extrusion (HME). Ultrasound was applied at three intensities (105, 158, and 210 W/cm

Indexed as

CicerFood HandlingMeatPlant ProteinsStramenopilesUltrasonic WavesWaterMeat SubstitutesPlant ProteinsWaterFibrous structureHigh-moisture extrusionNannochloropsis gaditanaProtein digestibilityUltrasound

Identifiers

PMID41130180

DOI10.1016/j.ultsonch.2025.107626

PMCPMC12589994

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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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 OpenQuestion graph.