Evidence map›Paper›PMID 41384072›Full record

ReviewRSC advances2025

Advances in surface-enhanced Raman scattering applications for precision agriculture: monitoring plant health and crop quality.

Ha Anh Nguyen, Dao Thi Nguyet Nga, To Dao Cuong, Mai Quan Doan, Anh-Tuan Le

Abstract readReview
In one paragraph

Review in RSC advances, 2025. 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

5 authors.

Ha Anh NguyenPhenikaa University Nano Institute (PHENA), Phenikaa School of Engineering (PSE), Phenikaa University Hanoi 12116 Vietnam anh.nguyenha@phenikaa-uni.edu.vn tuan.leanh@phenikaa-uni.edu.vn.ORCID https://orcid.org/0000-0002-1183-5041
Dao Thi Nguyet NgaPhenikaa University Nano Institute (PHENA), Phenikaa School of Engineering (PSE), Phenikaa University Hanoi 12116 Vietnam anh.nguyenha@phenikaa-uni.edu.vn tuan.leanh@phenikaa-uni.edu.vn.ORCID https://orcid.org/0000-0001-5824-8007
To Dao CuongPhenikaa University Nano Institute (PHENA), Phenikaa School of Engineering (PSE), Phenikaa University Hanoi 12116 Vietnam anh.nguyenha@phenikaa-uni.edu.vn tuan.leanh@phenikaa-uni.edu.vn.
Mai Quan DoanPhenikaa University Nano Institute (PHENA), Phenikaa School of Engineering (PSE), Phenikaa University Hanoi 12116 Vietnam anh.nguyenha@phenikaa-uni.edu.vn tuan.leanh@phenikaa-uni.edu.vn.ORCID https://orcid.org/0000-0003-2931-0822
Anh-Tuan LePhenikaa University Nano Institute (PHENA), Phenikaa School of Engineering (PSE), Phenikaa University Hanoi 12116 Vietnam anh.nguyenha@phenikaa-uni.edu.vn tuan.leanh@phenikaa-uni.edu.vn.ORCID https://orcid.org/0000-0002-4191-1834

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring plant health and crop quality is vital for sustainable modern agriculture. Conventional detection methods for stress markers, contaminants, and pathogens are often constrained by labor-intensive procedures, bulky equipment, and reliance on centralized facilities, limiting real-time field monitoring. Surface-enhanced Raman scattering (SERS) has emerged as a promising solution, providing rapid, ultrasensitive, and non-destructive analysis across plant, soil, and water matrices. This review outlines the fundamental SERS mechanisms and strategies that boost sensing performance, and surveys recent advances in monitoring throughout the cultivation cycle, covering plant stress markers, metabolites, contaminants, and plant pathogens under realistic agricultural conditions. Emphasis is placed on substrate architecture (hot-spot control, composites/heterostructures, functionalization, flexible formats), enhancement mechanisms, and analytical performance (typical enhancement factor (EF), limit of detection (LOD), limit of quantitation (LOQ), and relative standard deviation (RSD) ranges). Persistent challenges, including substrate reproducibility, matrix interference, quantitative calibration, and scalable fabrication for field deployment, are evaluated alongside emerging solutions, including matrix-aware calibration (with ratiometric readout), fluorescence-robust preprocessing, and durable, large-area platforms. We close with practical considerations for durability and cost and with future perspectives toward next-generation, field-ready SERS tools for proactive plant-health management and crop-quality assurance.

Identifiers

PMID41384072
PMCPMC12695143

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.