Evidence map›Paper›PMID 37628099›Full record

ArticleFoods (Basel, Switzerland)2023

A High-Performance Liquid Chromatography with Electrochemical Detection Method Developed for the Sensitive Determination of Ascorbic Acid: Validation, Application, and Comparison with Titration, Spectrophotometric, and High-Performance Liquid Chromatography with Diode-Array Detection Methods.

Fanhua Wu, Fangrui Xu, Wen Liu, Sinan Chen, Haojie Luo, Ni Cheng, Haoan Zhao, Wei Cao

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 24 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Fanhua WuCollege of Food Science and Technology, Northwest University, Xi'an 710069, China.
Fangrui XuCollege of Food Science and Technology, Northwest University, Xi'an 710069, China.
Wen LiuCollege of Food Science and Technology, Northwest University, Xi'an 710069, China.
Sinan ChenCollege of Food Science and Technology, Northwest University, Xi'an 710069, China.
Haojie LuoCollege of Food Science and Technology, Northwest University, Xi'an 710069, China.
Ni ChengCollege of Food Science and Technology, Northwest University, Xi'an 710069, China.
Haoan ZhaoCollege of Food Science and Technology, Northwest University, Xi'an 710069, China.ORCID 0000-0001-7071-9385
Wei CaoCollege of Food Science and Technology, Northwest University, Xi'an 710069, China.
Northwest University · CN

Funding

National Key R&D Project of China 2022YFD1600204Shaanxi High-Level Talent Special Support Plan TZ0389, QCYRCXM-2022-214Xi'an Science and Technology Planning Project No. 22NYYF047
6 · The paper itself

Abstract

L-ascorbic acid (vitamin C, VC), an essential nutrient obtained from the diet to maintain various vital signs for the human body, is a crucial indicator of food quality and nutritional value. Herein, high-performance liquid chromatography with electrochemical detection (HPLC-ECD) was developed and validated with the advantages of higher sensitivity, simpler operation processes, and more rapid detection in measuring VC levels in honey samples when compared with the common methods (titration, spectrophotometric, and HPLC-DAD methods). The results of the HPLC-ECD methodological validation showed that the limit of detection (LOD) was 0.0043 µg mL

Indexed as

ascorbic acidbiosampleselectrochemical detectionfruithoneymethod validation

Identifiers

PMID37628099
PMCPMC10453043
OpenAlexW4385979656

What OpenQuestion 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 OpenQuestion graph.