Evidence map›Paper›PMID 40636027›Full record

ReviewMaterials today. Bio2025

Nanohybrid-enabled smart platforms for biostimulation and immunoengineering of plants.

Muhammad Noman, Usman Ijaz, Temoor Ahmed, Zhongna Hao, Jing Wang, Yingying Cai, Yanli Wang, Mohammad Shafiqul Islam, Jason C White, Jiaoyu Wang

Abstract readReview
In one paragraph

Review in Materials today. Bio, 2025. 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. Review
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

10 authors.

Muhammad NomanState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Provincial Key Laboratory of Agricultural Microbiomics, Key Laboratory of Agricultural Microbiome (MARA), Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Usman IjazTasmanian Institute of Agriculture, University of Tasmania, Prospects, TAS, 7250, Australia.
Temoor AhmedXianghu Laboratory, Hangzhou, 311231, China.
Zhongna HaoState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Provincial Key Laboratory of Agricultural Microbiomics, Key Laboratory of Agricultural Microbiome (MARA), Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Jing WangState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Provincial Key Laboratory of Agricultural Microbiomics, Key Laboratory of Agricultural Microbiome (MARA), Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Yingying CaiState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Provincial Key Laboratory of Agricultural Microbiomics, Key Laboratory of Agricultural Microbiome (MARA), Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Yanli WangState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Provincial Key Laboratory of Agricultural Microbiomics, Key Laboratory of Agricultural Microbiome (MARA), Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Mohammad Shafiqul IslamState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Provincial Key Laboratory of Agricultural Microbiomics, Key Laboratory of Agricultural Microbiome (MARA), Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Jason C WhiteThe Connecticut Agricultural Experiment Station, New Haven, CT, 06511, USA.
Jiaoyu WangState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Provincial Key Laboratory of Agricultural Microbiomics, Key Laboratory of Agricultural Microbiome (MARA), Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional agricultural practices have become increasingly impractical due to their high inefficiency and overuse, posing serious threats to ecosystem stability and health. Nanohybrids refer to a class of composite materials comprised of nanomaterials combined with diverse materials, including inorganic, polymeric, or biological materials, resulting in hybrid structures with unique functional features such as greater mechanical strength, catalytic activity, and biocompatibility, thus providing advanced frameworks with a vast variety of applications in the agriculture sector. Nanohybrids can augment the functional capabilities of plants, such as photosynthesis and stress tolerance, enabling crops to thrive under diverse climatic conditions. Additionally, nanohybrid-based agricultural practices can improve growth and productivity of crops by providing them with essential nutrients in a more controlled and precise manner. Importantly, nanohybrid-based systems can shield plants against biotic (pest and pathogen attacks) and abiotic (drought, salinity, temperature, and pH etc.) stressors by activating sophisticated, interconnected, and intricate antioxidative or genetic defense responses. Here, we provide a critical overview of nanohybrid-enabled strategies for improving agriculture practices and plant health under biotic and abiotic environmental challenges. We also highlight the transformative potential of nanohybrid-based smart agrochemicals for developing sustainable and eco-stable agricultural systems, thereby ensuring global food security.

Indexed as

AgricultureClimate changeNanohybridsPlant engineeringStress responses

Identifiers

PMID40636027
PMCPMC12240150

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.