Evidence map›Paper›PMID 38367087›Full record

ArticleEnvironmental geochemistry and health2024

Techno-economic feasibility and life cycle assessment analysis for a developed novel biosorbent-based arsenic bio-filter system.

Sourav Maity, Puja Dokania, Manav Goenka, S Rahul, Ramakrishna P Are, Angana Sarkar

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Sourav MaityDepartment of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, Odisha, 769008, India.
Puja DokaniaDepartment of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, Odisha, 769008, India.
Manav GoenkaDepartment of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, Odisha, 769008, India.
S RahulDepartment of Biotechnology, Indian Institute of Technology, Madras, 600036, India.
Ramakrishna P AreDepartment of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, Odisha, 769008, India.
Angana SarkarDepartment of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, Odisha, 769008, India. sarkar.angana@gmail.com.

Funding

Department of Science and Technology, Ministry of Science and Technology, India DST/TM/WTI/2K16/264
6 · The paper itself

Abstract

Significant aquifers around the world is contaminated by arsenic (As), that is regarded as a serious inorganic pollution. In this study, a biosorbent-based bio-filter column has been developed using two different plant biomasses (Colocasia esculenta stems and Artocarpus heterophyllus seeds) to remove total As from the aqueous system. Due to its natural origin, affordability, adaptability, removal effectiveness, and possibility for integration with existing systems, the biosorbent-based bio-filter column presents an alluring and promising method. It offers a practical and eco-friendly way to lessen the damaging impacts of heavy metal contamination on ecosystems and public health. In this system, As (III) is oxidized to As (V) using chlorine as an oxidant, after this post-oxidized As-contaminated water is passed through the bio-filter column to receive As-free water (or below World Health Organization permissible limit for As in drinking water). Optimization of inlet flow rate, interference of co-existing anions and cations, and life cycle of the column were studied. The maximum removal percent of As was identified to be 500 µg L

Indexed as

ArsenicDrinking WaterWater Pollutants, ChemicalWater PurificationAdsorptionAnimalsEcosystemFeasibility StudiesHydrogen-Ion ConcentrationKineticsLife Cycle StagesSpectroscopy, Fourier Transform InfraredArsenicDrinking WaterWater Pollutants, ChemicalArsenicBio-filterBiosorbent-basedCharacterizationOptimization

Identifiers

PMID38367087

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Registered trials

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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.