ArticleMolecules (Basel, Switzerland)2023
Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
- Industrial Hemp and Tobacco as Multipurpose Crops: Traditional Uses, Contemporary Applications, and Future Perspectives.Plants (Basel, Switzerland) · 2026Review
- Synergistic effects of crop straw formulations onMicrobiology spectrum · 2026Article
- Sustainable Extraction of Bioactive Phenolic Compounds from Cannabis Leaf Powder from Local Strain of Tucumán, Argentina, to Promote a Circular Economy.Molecules (Basel, Switzerland) · 2026Article
- Preparation and analysis of tobacco glycosides, and the relationship between glycoside aglycones and pyrolysis products: a review.Frontiers in molecular biosciences · 2026Review
- Targeted membrane permeability alterations in Enterobacter hormaechei ZS01 for high-level production of 3-succinyl-pyridine from the tobacco waste.World journal of microbiology & biotechnology · 2025Article
- Nonconventional Techniques in Plant Alkaloid Extraction: A Decade of Progress (2014-2023).Chemistry & biodiversity · 2025Review
- Green Extract from Pre-Harvest Tobacco Waste as a Non-Conventional Source of Anti-Aging Ingredients for Cosmetic Applications.Plants (Basel, Switzerland) · 2025Article
- A New Plant Active Polysaccharide fromFoods (Basel, Switzerland) · 2024Article
- Chemical-Functional Analysis of Extracts Obtained fromPlants (Basel, Switzerland) · 2024Article
- Current Status and De Novo Synthesis of Anti-Tumor Alkaloids inMetabolites · 2023Review
- Morphological Characterization ofPlants (Basel, Switzerland) · 2023Article
- Investigating the dynamic responses ofFrontiers in plant science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Tobacco cultivation and industrialization are characterized by the production of trillions of pre-harvest and post-harvest waste biomasses each year with the resulting negative effects on the environment. The leaves of blunt, pre-harvest waste, could be further used to obtain bioactive metabolites, i.e., polyphenols and alkaloids, for its potential cosmetic use. This study was conducted to obtain bio-compounds from pre-harvest tobacco leaf waste (var. Virginia) by applying conventional and green solvents (NaDES). Leaves and ground leaf waste were characterized based on their microscopic features. Conventional solvents, such as water, acetone, ethanol, and non-conventional solvents, such as Natural Deep Eutectic Solvents (NaDES), i.e., sucrose:lactic acid (LAS), frutose:glucose:sucrose (FGS), lactic acid:sucrose:water (SALA), choline chloride:urea (CU), and citric acid: propylene glycol (CAP) were used for bioactive extraction from tobacco waste powder. CU, FGS, and acetone/ethanol had similar behavior for the best extraction of alkaloids (6.37-11.23 mg ACE/g tobacco powder). LAS, FGS, SALA, and CU were more effective in phenolic compound extraction than conventional solvents (18.13-21.98 mg AGE/g tobacco powder). Because of this, LAS and SALA could be used to obtain phenolic-enriched extracts with lower alkaloid content rather than CU and FGS. Extracts of the powder obtained with conventional solvent or CU showed a high level of sugars (47 mg/g tobacco powder) The ABTS antioxidant capacity of tobacco leaf powder was higher in the extracts obtained with CU, FGS, and acetone (SC
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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.