Evidence map›Paper›PMID 34777490›Full record

ReviewBioinorganic chemistry and applications2021

A Review of Detection of Antibiotic Residues in Food by Surface-Enhanced Raman Spectroscopy.

Jun-Fa Liang, Cheng Peng, Peiyu Li, Qiu-Xiong Ye, Yu Wang, Yun-Ting Yi, Zi-Sheng Yao, Gui-Yun Chen, Bin-Bin Zhang, Jia-Jian Lin and 2 more

RetractedAbstract readReviewRetracted Publication
In one paragraph

Review in Bioinorganic chemistry and applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jun-Fa LiangGuangzhou Institute of Food Inspection, Guangzhou, China.
Cheng PengGuangzhou Institute of Food Inspection, Guangzhou, China.
Peiyu LiDepartment of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.
Qiu-Xiong YeGuangzhou Institute of Food Inspection, Guangzhou, China.
Yu WangGuangzhou Institute of Food Inspection, Guangzhou, China.
Yun-Ting YiGuangzhou Institute of Food Inspection, Guangzhou, China.
Zi-Sheng YaoGuangzhou Institute of Food Inspection, Guangzhou, China.
Gui-Yun ChenGuangzhou Institute of Food Inspection, Guangzhou, China.
Bin-Bin ZhangGuangzhou Institute of Food Inspection, Guangzhou, China.
Jia-Jian LinGuangzhou Institute of Food Inspection, Guangzhou, China.
Qizhi LuoDepartment of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.ORCID https://orcid.org/0000-0003-4087-8611
Xuncai ChenDepartment of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.ORCID https://orcid.org/0000-0003-3965-205X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotics, as veterinary drugs, have made extremely important contributions to disease prevention and treatment in the animal breeding industry. However, the accumulation of antibiotics in animal food due to their overuse during animal feeding is a frequent occurrence, which in turn would cause serious harm to public health when they are consumed by humans. Antibiotic residues in food have become one of the central issues in global food safety. As a safety measure, rapid and effective analytical approaches for detecting these residues must be implemented to prevent contaminated products from reaching the consumers. Traditional analytical methods, such as liquid chromatography, liquid chromatography mass spectrometry, and capillary electrophoresis, involve time-consuming sample preparation and complicated operation and require expensive instrumentation. By comparison, surface-enhanced Raman spectroscopy (SERS) has excellent sensitivity and remarkably enhanced target recognition. Thus, SERS has become a promising alternative analytical method for detecting antibiotic residues, as it can provide an ultrasensitive fingerprint spectrum for the rapid and noninvasive detection of trace analytes. In this study, we comprehensively review the recent progress and advances that have been achieved in the use of SERS in antibiotic residue detection. We introduce and discuss the basic principles of SERS. We then present the prospects and challenges in the use of SERS in the detection of antibiotics in food. Finally, we summarize and discuss the current problems and future trends in the detection of antibiotics in food.

Identifiers

PMID34777490
PMCPMC8589529

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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.