Evidence map›Paper›PMID 40647149›Full record

ReviewFoods (Basel, Switzerland)2025

Comprehensive New Insights into Sweet Taste Transmission Mechanisms and Detection Methods.

Yuanwei Sun, Shengmeng Zhang, Tianzheng Bao, Zilin Jiang, Weiwei Huang, Xiaoqi Xu, Yibin Qiu, Peng Lei, Rui Wang, Hong Xu and 2 more

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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

12 authors.

Yuanwei SunCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Shengmeng ZhangCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Tianzheng BaoCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Zilin JiangCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Weiwei HuangCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Xiaoqi XuCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Yibin QiuCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Peng LeiCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.ORCID 0000-0001-5538-3780
Rui WangCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Hong XuCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Sha LiCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Qi ZhangCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.ORCID 0000-0003-0354-5877

Funding

China Postdoctoral Science Foundation 2024M751421Jiangsu Basic Research Center for Synthetic Biology BK20233003Jiangsu Funding Program for Excellent Postdoctoral Talent 2023ZB445Jiangsu Synergetic Innovation Center for Advanced Bio-Manufacture XTD2201National Key Research and Development Program of China 2024YFF1106402-03National Natural Science Foundation of China 32402053Natural Science Foundation of the Jiangsu Higher Education Institutions of China 1020241663
6 · The paper itself

Abstract

Sweet taste plays a pivotal role in human dietary behavior and metabolic regulation. With the increasing incidence of metabolic disorders linked to excessive sugar intake, the development and accurate evaluation of new sweeteners have become critical topics in food science and public health. However, the structural diversity of sweeteners and their complex interactions with sweet taste receptors present major challenges for standardized sweetness detection. This review offers a comprehensive and up-to-date overview of sweet taste transmission mechanisms and current detection methods. It outlines the classification and sensory characteristics of both conventional and emerging sweeteners, and explains the multi-level signaling pathway from receptor binding to neural encoding. Key detection techniques, including sensory evaluation, electronic tongues, and biosensors, are systematically compared in terms of their working principles, application scope, and limitations. Special emphasis is placed on advanced biosensing technologies utilizing receptor-ligand interactions and nanomaterials for highly sensitive and specific detection. Furthermore, an intelligent detection framework integrating molecular recognition, multi-source data fusion, and artificial intelligence is proposed. This interdisciplinary approach provides new insights and technical solutions to support precise sweetness evaluation and the future development of healthier food systems.

Indexed as

biosensordetection methodelectronic tonguesensory evaluationsweetnesstransmission mechanism

Identifiers

PMID40647149
PMCPMC12248591

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.