Correlating instrumental textural properties to human sensory data using biomimetic molar probes: Case study with hazelnuts.

Jingye Zhu, Huilin Zeng, Ancha Xu, David Julian McClements, Jianshe Chen, Yong Chen

Abstract read

In one paragraph

Article in Current research in 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.

Jingye ZhuLaboratory of Food Oral Processing, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China.

Huilin ZengLaboratory of Food Oral Processing, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China.

Ancha XuSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.

David Julian McClementsLaboratory of Food Oral Processing, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China.

Jianshe ChenLaboratory of Food Oral Processing, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China.

Yong ChenLaboratory of Food Oral Processing, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The textural properties of foods influence consumer purchasing decisions and eating experiences. However, current instrumental textural analysis methods do not provide quantitative data that matches well to sensory evaluations performed by humans. To enhance the alignment between instrumental textural properties and sensory evaluations, this study developed two types of biomimetic probes (M1 and M2) based on the morphology of human molars. The textural properties of four hazelnut samples were measured using these simulated molar probes and then compared to those obtained using two conventional texture analyzer probes (P/50 and HPD). The impact of test speed (0.1, 1.0 and 10.0 mm/s) during uniaxial compression of the samples was also assessed. Additionally, changes in the particle size distribution, surface electromyography (EMG) signals and sensory evaluation of the hazelnut samples during oral processing were measured. Multimodal data analysis methods were then used to establish correlations between the instrumental textural properties and sensory evaluations of the hazelnut samples. The hardness values obtained by the texture analyzer using a specific molar probe (M1) and test speed (10.0 mm/s) showed the highest correlation with the sensory hardness values (

Indexed as

Hazelnut testingOral processingSensory analysisTexture profile analysis

Identifiers

PMID41473538

DOI10.1016/j.crfs.2025.101171

PMCPMC12745824

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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 OpenQuestion graph.