Evidence map›Paper›PMID 42627598›Full record

ReviewDiscover nano2026

Next generation materials for environmental remediation through advanced mechanisms and future perspectives.

Isha Dharsandia, Narendra Kumar, Ananya Tiwari, Budhi Sagar Tiwari, Mangey Ram Nagar, Santosh Kumar Mishra

Abstract readReview
In one paragraph

Review in Discover nano, 2026. 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

6 authors.

Isha DharsandiaEnvironmental Technology Lab, School of Biotechnology and Bioengineering, Institute of Advanced Research, Gandhinagar, 382426, Gujarat, India.
Narendra KumarEnvironmental Technology Lab, School of Biotechnology and Bioengineering, Institute of Advanced Research, Gandhinagar, 382426, Gujarat, India. narendra.kumar@niet.co.in.
Ananya TiwariEnvironmental Technology Lab, School of Biotechnology and Bioengineering, Institute of Advanced Research, Gandhinagar, 382426, Gujarat, India.
Budhi Sagar TiwariEnvironmental Technology Lab, School of Biotechnology and Bioengineering, Institute of Advanced Research, Gandhinagar, 382426, Gujarat, India.
Mangey Ram NagarDepartment of Electronics and Communication Engineering, Noida Institute of Engineering and Technology, Greater Noida, 201306, India.
Santosh Kumar MishraDepartment of Life Science, Sharda School of Bioscience and Technology, Sharda University, Greater Noida, 201306, Uttar Pradesh, India. santosh.mishra1@sharda.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escalating environmental pollution and the increasing complexity of contaminants pose significant challenges to conventional remediation technologies, necessitating the development of innovative, sustainable solutions. This review critically examines the role of next-generation materials in environmental remediation and sustainable development, emphasizing their design principles, mechanisms, and practical relevance. Advanced material classes, including nanomaterials, polymeric and composite systems, and emerging functional materials such as metal-organic frameworks, covalent organic frameworks, and smart hybrid materials are systematically discussed with respect to their structure, property, and function relationships. The review highlights material-enabled remediation strategies for removing organic pollutants, heavy metals, metalloids, and emerging contaminants via adsorption, catalytic degradation, membrane separation, and integrated hybrid approaches. Particular attention is given to mechanistic insights, sustainability considerations, and the incorporation of green synthesis and life cycle assessment. The integration of artificial intelligence, smart sensing, and data-driven optimization for material design and process control is also addressed. Finally, key challenges related to scalability, environmental safety, and real-world implementation are outlined, along with future research directions. Overall, this review underscores the critical importance of material innovation in advancing efficient, scalable, and sustainable environmental remediation technologies aligned with global Sustainable Development Goals.

Indexed as

Artificial intelligenceEnvironmental remediationMetal–organic frameworksNext generation materialsSustainable development goalsWastewater treatment

Identifiers

PMID42627598
PMCPMC13498541

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.