Evidence map›Paper›PMID 41173864›Full record

ArticleNPJ science of food2025

Evaluating the pungency perception of Zanthoxylum armatum DC. oil by facial recognition techniques and machine learning.

Shijun Zheng, Qixin Kan, Guo Liu, Xiang Zhu, Jinxin Luo, Chi-Tang Ho, Yongjun Hu, Yong Cao, Linfeng Wen

Abstract read
In one paragraph

Article in NPJ science of food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Shijun Zheng *Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
Qixin Kan *Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
Guo LiuGuangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
Xiang ZhuSichuan Yaomazi Food Co., Ltd, Hong Ya, Sichuan, 620360, China.
Jinxin LuoGuangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
Chi-Tang HoDepartment of Food Science, Rutgers University, New Brunswick, USA.
Yongjun HuGuangzhou University, Guangzhou, 510006, China.
Yong CaoGuangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, 510642, China. caoyong2181@scau.edu.cn.
Linfeng WenGuangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, 510642, China. wenlinfeng123@126.com.

Funding

Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods 2018B030322010Sichuan Province Key Research and Development Plan Project for the Research and Development of Antibacterial Active Substances and Products of Zanthoxylum armatum DC. 2022YFN0019
6 · The paper itself

Abstract

Zanthoxylum armatum DC. (ZAD) oil is a kind of popular seasoning for its unique flavor and numbing taste. Pungency is characterized as a numbing and stimulating sensation in ZAD oil. This study aimed to objectively assess ZAD oil pungency by combining sensory evaluations with facial expression analysis. The contents of four major pungency compounds, including hydroxy-α-sanshool, hydroxy-β-sanshool, hydroxy-ε-sanshool, and hydroxy-γ-sanshool, were determined. Among them, the content of hydroxy -α-sanshool was 242.741 ± 18.293 mg/mL. The pungency intensity increased with higher Scoville pungency units (SPU). There was a demarcation point for the degree of preference. That is, before Sample 2 (with an SPU of 11,200), the degree of preference showed an upward trend as the numbing degree increased. After Sample 2 (with an SPU of 11,200), the degree of preference decreased as the numbing degree increased. Moreover, facial expression recognition technology was employed to collect data on 20 facial action units (AUs) from 52 participants. Subsequent correlation analysis highlighted significant AUs associated with the sensation of pungency, including AU4 (brow lowering), AU6 (cheek raising), AU7 (lid tightening), AU10 (upper lip raising), AU23 (lip tightening), AU25 (lips parting), and AU26 (jaw dropping). Furthermore, utilizing the Extra Trees model, the study achieved 75.5% accuracy in ternary and 90.4% in binary classification of pungency. SHapley Additive exPlanations methodology was applied to clarify feature contributions, enhancing model transparency. This research showed the potential of facial recognition techniques to evaluate pungent flavors of ZAD oil.

Identifiers

PMID41173864
PMCPMC12578923

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Registered trials

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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.