ArticleFrontiers in microbiology2022
Optimization of Heavy Metals Biosorption
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- Clinical characteristics and risk factors associated with ICU-acquired infections in sepsis: A retrospective cohort study.Frontiers in cellular and infection microbiology · 2022Trial
- The metabolic pathway of THF-degrading composite bacteria and its immobilized microspheres.Antonie van Leeuwenhoek · 2025Article
- Article
- Potential application of Staphylococcus devriesei MS as a biosorbent agent for manganase, chromium, and cadmium heavy metals in contaminated water.Scientific reports · 2025Article
- Article
- Advanced Low-Cost Technology for Assessing Metal Accumulation in the Body of a Metropolitan Resident Based on a Neural Network Model.Sensors (Basel, Switzerland) · 2024Article
- Article
- Article
- Turmeric extract-mediated biogenic synthesis of Ag@SeORSC advances · 2024Article
- Innovative optimization for enhancing PbFrontiers in microbiology · 2024Article
- Application of artificial neural networks for enhancingHeliyon · 2023Article
- A comparative study using response surface methodology and artificial neural network towards optimized production of melanin by Aureobasidium pullulans AKW.Scientific reports · 2023Article
- Evidences for the augmented Cd(II) biosorption by Cd(II) resistant strain Candida tropicalis XTA1874 from contaminated aqueous medium.Scientific reports · 2023Article
- Innovative binary sorption of Cobalt(II) and methylene blue by Sargassum latifolium using Taguchi and hybrid artificial neural network paradigms.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The definitive screening design (DSD) and artificial neural network (ANN) were conducted for modeling the biosorption of Co(II) by
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.