Evidence map›Paper›PMID 35686006›Full record

ArticleBiotechnology reports (Amsterdam, Netherlands)2022

Development of a plant-produced recombinant monoclonal antibody against Δ-9-tetrahydrocannabinol (Δ9-THC) for immunoassay application.

Wanuttha Boonyayothin, Khwanlada Kobtrakul, Petlada Khositanon, Sornkanok Vimolmangkang, Waranyoo Phoolcharoen

Open access · goldAbstract read
In one paragraph

Article in Biotechnology reports (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Review
  3. Green Biologics: Harnessing the Power of Plants to Produce Pharmaceuticals.International journal of molecular sciences · 2023
    Review
  4. Article
  5. Article
  6. 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

5 authors at 1 institution in 1 country.

Wanuttha BoonyayothinCenter of Excellence in Plant-Produced Pharmaceuticals, Chulalongkorn University, Bangkok, Thailand.
Khwanlada KobtrakulPharmaceutical Sciences and Technology Program, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand.
Petlada KhositanonResearch Cluster for Cannabis and its Natural Substances, Chulalongkorn University, Bangkok, Thailand.
Sornkanok VimolmangkangCenter of Excellence in Plant-Produced Pharmaceuticals, Chulalongkorn University, Bangkok, Thailand.
Waranyoo PhoolcharoenCenter of Excellence in Plant-Produced Pharmaceuticals, Chulalongkorn University, Bangkok, Thailand.
Chulalongkorn University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Δ-9-tetrahydrocannabinol (Δ9-THC) is mainly a psychoactive compound in the cannabis plant. The immunoassay, an alternative method to HPLC and GC, can be used to analyze and measure Δ9-THC. This method provides high sensitivity and specificity by using antibodies specific to the desired substances. Currently, plants provide several benefits over traditional expression platforms to produce recombinant antibodies, such as lower production costs and scalability. Therefore, this study aims to produce a recombinant anti-Δ9-THC monoclonal antibody (mAb) with transient expression using

Indexed as

ImmunoassayNicotiana benthamiana, Cannabis extractPlant-produced mAbTransient expression(-)-Δ 9-tetrahydrocannabinol (Δ9-THC)

Identifiers

PMID35686006
PMCPMC9171438
OpenAlexW4220974196

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.