Evidence map›Paper›PMID 35909703›Full record

ReviewJournal of intelligent & robotic systems2022

A Review of Pharmaceutical Robot based on Hyperspectral Technology.

Xuesan Su, Yaonan Wang, Jianxu Mao, Yurong Chen, ATing Yin, Bingrui Zhao, Hui Zhang, Min Liu

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of intelligent & robotic systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. The Identification ofFoods (Basel, Switzerland) · 2023
    Article
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.

Xuesan SuNational Engineering Laboratory of Robot Visual Perception and Control Technology, Hunan University, Changsha, 410082 Hunan People's Republic of China.
Yaonan WangNational Engineering Laboratory of Robot Visual Perception and Control Technology, Hunan University, Changsha, 410082 Hunan People's Republic of China.
Jianxu MaoNational Engineering Laboratory of Robot Visual Perception and Control Technology, Hunan University, Changsha, 410082 Hunan People's Republic of China.
Yurong ChenNational Engineering Laboratory of Robot Visual Perception and Control Technology, Hunan University, Changsha, 410082 Hunan People's Republic of China.
ATing YinNational Engineering Laboratory of Robot Visual Perception and Control Technology, Hunan University, Changsha, 410082 Hunan People's Republic of China.
Bingrui ZhaoNational Engineering Laboratory of Robot Visual Perception and Control Technology, Hunan University, Changsha, 410082 Hunan People's Republic of China.
Hui ZhangNational Engineering Laboratory of Robot Visual Perception and Control Technology, Hunan University, Changsha, 410082 Hunan People's Republic of China.
Min LiuNational Engineering Laboratory of Robot Visual Perception and Control Technology, Hunan University, Changsha, 410082 Hunan People's Republic of China.
Hunan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality and safety of medicinal products are related to patients' lives and health. Therefore, quality inspection takes a key role in the pharmaceutical industry. Most of the previous solutions are based on machine vision, however, their performance is limited by the RGB sensor. The pharmaceutical visual inspection robot combined with hyperspectral imaging technology is becoming a new trend in the high-end medical quality inspection process since the hyperspectral data can provide spectral information with spatial knowledge. Yet, there is no comprehensive review about hyperspectral imaging-based medicinal products inspection. This paper focuses on the pivotal pharmaceutical applications, including counterfeit drugs detection, active component analysis of tables, and quality testing of herbal medicines and other medical materials. We discuss the technology and hardware of Raman spectroscopy and hyperspectral imaging, firstly. Furthermore, we review these technologies in pharmaceutical scenarios. Finally, the development tendency and prospect of hyperspectral imaging technology-based robots in the field of pharmaceutical quality inspection is summarized.

Indexed as

Hyperspectral imagingPharmaceutical robotQuality inspectionRaman hyperspectral

Identifiers

PMID35909703
PMCPMC9306415
OpenAlexW4286559695

What OpenQuestion holds

Textmetadata
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.