Evidence map›Paper›PMID 36354480›Full record

ArticleBiosensors2022

Accurate and Rapid Genetic Tracing the Authenticity of Floral Originated Honey with the Molecular Lateral Flow Strip.

Qian Wu, Qi Chen, Chao Yan, Jianguo Xu, Zhaoran Chen, Li Yao, Jianfeng Lu, Bangben Yao, Wei Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Qian WuEngineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
Qi ChenEngineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
Chao YanEngineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
Jianguo XuEngineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
Zhaoran ChenProduct Quality Supervision and Inspection Research Institute of Anhui Province, Hefei 230009, China.
Li YaoEngineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
Jianfeng LuEngineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0002-5887-9455
Bangben YaoProduct Quality Supervision and Inspection Research Institute of Anhui Province, Hefei 230009, China.
Wei ChenEngineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.

Funding

National Natural Science Foundation of China 32172295
6 · The paper itself

Abstract

Honey is a natural product and is heavily consumed for its well-known nutritional functions. Honeys with different floral origins possess distinctive flavors, tastes, functions and economic values. It is vital to establish an effective strategy for identifying the authenticity of honey. The intrinsic genetic materials of pollen were adopted as target analytes for the effective identification of honey with floral origins. With an optimized protocol for the rapid gene extraction from honey, target genetic templates were amplified on-site with a portable device. Conveniently, all on-site amplified functional products were easily judged by the designed lateral flow strip (LFS), which was defined as the molecular LFS in this research. Additionally, the entire on-site genetic authentication of honey was completed in less than 2 h by visual observation. Commercial honey products have been successfully identified with excellent accuracy. This low-cost, high-efficiency and easy-operational strategy will greatly benefit the quality guarantee of foods with specific functions and geographical markers.

Indexed as

Food AnalysisHoneyauthenticationfood safetylateral flow striplocust honeymolecular amplification

Identifiers

PMID36354480
PMCPMC9688305

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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.