Article in Biosensors, 2022. 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
1.1field-weighted citation impact, top 23% of its field
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, 13 citations in OpenAlex.
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
11 authors at 3 institutions in 1 country.
Cheng ZhaoCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Shanshan XuState Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China.
Jing WeiThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Analytical Chemistry and Instrument for Life Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0001-9413-2650
Siqi XieCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Jinlei WeiCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Jingting HanCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Zhaohuan ZhangCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Haiquan LiuCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Jinsheng ChengHenry-Fork School of Food Sciences, Shaoguan University, Shaoguan 512005, China.ORCID 0000-0003-3475-3249
Yong ZhaoCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Yongheng ZhuCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Shanghai Ocean University · CNShaoguan University · CNState Key Laboratory of Chemical Engineering · CN
Funding
Shanghai Agriculture Applied Technology Development Program 2021-02-08-00-12-F00763the Key Basic Research Program of Science and Technology Commission of Shanghai Municipality 20JC1415300the Natural Science Foundation of Shanghai 21ZR1427500
6 · The paper itself
Abstract
PubMed holds no abstract for this paper.
Indexed as
Metal NanoparticlesSmart MaterialsZinc OxideAcetoinBiomarkersGoldHumansAcetoinBiomarkersGoldSmart MaterialsZinc Oxide3-hydroxy-2-butanoneAu nanoparticlesfoodborne-pathogens detectionfood safetyMEMS gas sensorZnO nanosheets
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.
Enhanced Response for Foodborne Pathogens Detection by Au Nanoparticles Decorated ZnO Nanosheets Gas Sensor. · full record | OpenQuestion