Evidence map›Paper›PMID 37025139›Full record

ReviewFrontiers in plant science2023

Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy.

Rongqin Chen, Fei Liu, Chu Zhang, Wei Wang, Rui Yang, Yiying Zhao, Jiyu Peng, Wenwen Kong, Jing Huang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Rapid fat quantification inFrontiers in nutrition · 2026
    Article
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  5. Article
  6. Review
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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

9 authors at 4 institutions in 1 country.

Rongqin ChenCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Fei LiuCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Chu ZhangSchool of Information Engineering, Huzhou University, Huzhou, China.
Wei WangCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Rui YangCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Yiying ZhaoCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Jiyu PengCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China.
Wenwen KongCollege of Mathematics and Computer Science, Zhejiang A & F University, Hangzhou, China.
Jing HuangCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Zhejiang University · CNHuzhou University · CNZhejiang A & F University · CNZhejiang University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herbs have been used as natural remedies for disease treatment, prevention, and health care. Some herbs with functional properties are also used as food or food additives for culinary purposes. The quality and safety inspection of herbs are influenced by various factors, which need to be assessed in each operation across the whole process of herb production. Traditional analysis methods are time-consuming and laborious, without quick response, which limits industry development and digital detection. Considering the efficiency and accuracy, faster, cheaper, and more environment-friendly techniques are highly needed to complement or replace the conventional chemical analysis methods. Infrared (IR) and Raman spectroscopy techniques have been applied to the quality control and safety inspection of herbs during the last several decades. In this paper, we generalize the current application using IR and Raman spectroscopy techniques across the whole process, from raw materials to patent herbal products. The challenges and remarks were proposed in the end, which serve as references for improving herb detection based on IR and Raman spectroscopy techniques. Meanwhile, make a path to driving intelligence and automation of herb products factories.

Indexed as

herbal medicineherbal nutraceuticalsInfrared and Raman spectroscopynatural productsrapid detection

Identifiers

PMID37025139
PMCPMC10072231
OpenAlexW4328090750

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.