Evidence map›Paper›PMID 41250237›Full record

ArticleJournal of cannabis research2025

Unlocking safety: a mathematical model and selective extraction for Δ9-THC removal from hemp seed husks.

Namsoo P Kim, Abhilash Aditiya, Too Jae Min

Abstract read
In one paragraph

Article in Journal of cannabis research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Namsoo P KimVIZO Investment, INC., Washington DC, USA. nsking21@gmail.com.
Abhilash AditiyaCollege of Engineering, University of Texas , El Paso, TX, USA.
Too Jae MinDept. of Anesthesiology and Pain Medicine, Korea University Ansan Hospital, Ansan , Gyeonggi-do, Korea.

Funding

Brain Pool program of the Korea Research Foundation 2022H1D3A2A0109646
6 · The paper itself

Abstract

Among the myriad components found in marijuana, cannabis, and hemp, cannabidiol (CBD), delta 9-tetrahydrocannabinol (Δ9-THC), cannabinol (CBN), cannabigerol (CBG), and other cannabinoids have long been utilized. However, controversies persist regarding the addictive and hallucinogenic effects of Δ9-THC, CBN, and hexahydrocannabihexol (HHCH) in various countries, contrasting with the positive attributes associated with CBD and CBG. Ongoing debates and sudden regulatory shifts pose challenges for the medical and industrial utilization of hemp, despite the UN's favorable stance persisting in many countries. Despite the widespread use of hemp seeds or oils in the food and medical sectors, many countries also negatively evaluate hemp product use due to the ambiguity of the Δ9-THC content analysis methods and corresponding standards. These difficulties arise from concerns regarding economic viability, regulatory restrictions on Δ9-THC levels, and the lack of stable processing and analysis techniques. To address these issues, a mathematical model based on hemp seed density was initially proposed. This model aims to analyze husk thickness and Δ9-THC concentration, thereby improving the stability and production efficiency of hemp seeds and making their utilization economically feasible. By expanding upon the mechanical peeling model, chemical extraction was conducted to control cannabinoids in hemp seeds using oil roasting and aqueous solutions such as ethanol based on the difference in the solubility of cannabinoids in hydrophilic and hydrophobic solutions. Different techniques were examined within a mathematical framework. THC removal was confirmed through repeated experiments and analysis of the residual THC content. PK-16 analysis revealed that the husk components contained 300 mg/kg THC, and the nut kernels contained 2 mg/kg THC. THC was selectively removed without physically eliminating husks, establishing a simplified, efficient, and economically viable method for future hemp seed oil production and analysis.

Indexed as

Hemp seedPK-16 analysisSelective THC removalΔ9-THC

Identifiers

PMID41250237
PMCPMC12625421

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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.