Evidence map›Paper›PMID 36093360›Full record

ArticleEngineering in life sciences2022

Real-time droplet size analysis using laser micrometer as a process analytical technology tool for continuous dripping process.

Xiaoping Wang, Ying Tian, Sheng Zhang, Haibin Qu

Abstract read
In one paragraph

Article in Engineering in life sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Xiaoping WangPharmaceutical Informatics Institute College of Pharmaceutical Sciences Zhejiang University Hangzhou China.
Ying TianPharmaceutical Informatics Institute College of Pharmaceutical Sciences Zhejiang University Hangzhou China.
Sheng ZhangPharmaceutical Informatics Institute College of Pharmaceutical Sciences Zhejiang University Hangzhou China.
Haibin QuPharmaceutical Informatics Institute College of Pharmaceutical Sciences Zhejiang University Hangzhou China.ORCID https://orcid.org/0000-0002-9877-4316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Process analysis and monitoring during the manufacturing of the dripping pills are essential. However, research on developing sensor-based technology or process analytical technology (PAT) tools to analyze and monitor the dripping process is minimal. The purpose of this work is to develop a fast and non-destructive laser detection system for quantitative visualization of droplets, which involves detecting the size of the droplet and calculating the weight of the dripping pills during the dripping process. Several factors influencing the detection performance of the detection system and the detection system capability for quantitation of the pill weight were explored. The laser detection system accurately detects the weight of the dripping pills with the coefficients of determination (R

Indexed as

dripping processGinkgo biloba leaf dripping pillslaser detection systemon‐line process analysis and monitoring

Identifiers

PMID36093360
PMCPMC9444713

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.