Evidence map›Paper›PMID 33024746›Full record

ReviewFrontiers in chemistry2020

Portable Analytical Techniques for Monitoring Volatile Organic Chemicals in Biomanufacturing Processes: Recent Advances and Limitations.

Xiaofeng Chen, Runmen Hu, Luoyu Hu, Yingcan Huang, Wenyang Shi, Qingshan Wei, Zheng Li

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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, 13 citations in OpenAlex.

  1. Review
  2. Review
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

7 authors at 2 institutions in 2 countries.

Xiaofeng ChenInstitute for Advanced Study, Shenzhen University, Shenzhen, China.
Runmen HuInstitute for Advanced Study, Shenzhen University, Shenzhen, China.
Luoyu HuInstitute for Advanced Study, Shenzhen University, Shenzhen, China.
Yingcan HuangInstitute for Advanced Study, Shenzhen University, Shenzhen, China.
Wenyang ShiInstitute for Advanced Study, Shenzhen University, Shenzhen, China.
Qingshan WeiDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, United States.
Zheng LiInstitute for Advanced Study, Shenzhen University, Shenzhen, China.
Shenzhen University · CNNorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is essential to develop effective analytical techniques for accurate and continuous monitoring of various biomanufacturing processes, such as the production of monoclonal antibodies and vaccines, through sensitive and quantitative detection of characteristic aqueous or gaseous metabolites and other analytes in the cell culture media. A comprehensive summary toward the use of mainstream techniques for bioprocess monitoring is critically reviewed here, which illustrates the instrumental and procedural advances and limitations of several major analytical tools in biomanufacturing applications. Despite those drawbacks present in modern detection systems such as mass spectrometry, gas chromatography or chemical/biological sensors, a considerable number of useful solutions and inspirations such as electronic or optoelectronic noses can be offered to greatly overcome the restrictions and facilitate the development of advanced analytical techniques that can target a more diverse range of key nutritious components, products or potential contaminants in different biomanufacturing processes.

Indexed as

analytical methodsbiomanufacturingbioprocess assessmentselectronic nosessensorsvolatile organic chemicals

Identifiers

PMID33024746
PMCPMC7516303
OpenAlexW3086718044

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.