Evidence map›Paper›PMID 37630160›Full record

ArticleMicromachines2023

Classification-Based Evaluation of Multi-Ingredient Dish Using Graphene-Modified Interdigital Electrodes.

Hongwu Zhu, Yongyuan Xu, Shengkai Liu, Xuchun He, Ning Ding

Abstract read
In one paragraph

Article in Micromachines, 2023. 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.

  1. 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.

Hongwu ZhuShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China.ORCID 0000-0003-0522-0152
Yongyuan XuShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China.
Shengkai LiuShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China.
Xuchun HeShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China.
Ning DingShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China.

Funding

Guangdong Basic and Applied Basic Research Foundation 2019A1515111119Guangdong Basic and Applied Basic Research Foundation 2021A1515010926Guangdong Basic and Applied Basic Research Foundation 2021B1515420005National Key R\&D Program of China 2019YFB1310402National Key R\&D Program of China 2019YFB1310403National Natural Science Foundation of China U1813216National Natural Science Foundation of China U2013202Shenzhen Science and Technology Program RCBS20221008093108031
6 · The paper itself

Abstract

A taste sensor with global selectivity can be used to discriminate taste of foods and provide evaluations. Interfaces that could interact with broad food ingredients are beneficial for data collection. Here, we prepared electrochemically reduced graphene oxide (ERGO)-modified interdigital electrodes. The interfaces of modified electrodes showed good sensitivity towards cooking condiments in mixed multi-ingredients solutions under electrochemical impedance spectroscopy (EIS). A database of EIS of cooking condiments was established. Based on the principal component analysis (PCA), subsets of three taste dimensions were classified, which could distinguish an unknown dish from a standard dish. Further, we demonstrated the effectiveness of the electrodes on a typical dish of scrambled eggs with tomato. Our kind of electronic tongue did not measure the quantitation of each ingredient, instead relying on the database and classification algorithm. This method is facile and offers a universal approach to simultaneously identifying multiple ingredients.

Indexed as

electrochemical impedance spectroscopyelectronic tonguegrapheneprincipal component analysistaste sensors

Identifiers

PMID37630160
PMCPMC10456818

What OpenQuestion holds

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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.