ArticleJournal of food science2026
Improving Postharvest Stabilization of Henna Leaves Using a Solar-Assisted Zigzag-Airflow Dryer: Drying Kinetics, Quality Attributes, and Economic Feasibility.
Article in Journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Henna (Lawsonia inermis L.) leaves are an important medicinal and cosmetic plant raw material, but their high moisture content makes them highly susceptible to quality deterioration during postharvest handling. This study evaluated a solar-assisted zigzag-airflow dryer (SAZA) for stabilizing henna leaves under arid-region conditions in Aswan, Egypt. Drying experiments were conducted using two airflow rates (0.09 and 0.14 m
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.