Evidence map›Paper›PMID 42675266›Full record

ReviewAnalytical and bioanalytical chemistry2026

Advances in electrochemical sensors for smart farming and precision agriculture: a focus on phytohormone quantification.

Mingli Zang, Xiaodong Wang, Yunling Chen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical and bioanalytical chemistry, 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

3 authors.

Mingli ZangSchool of Science and Technology, Xinyang University, Xinyang, 464000, Henan, China. 15978356892@163.com.
Xiaodong WangSchool of Science and Technology, Xinyang University, Xinyang, 464000, Henan, China.
Yunling ChenSchool of Medicine, Huanghe College of Science and Technology, Zhengzhou, 450063, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrochemical sensors detect target molecules using biorecognition elements, such as antibodies or molecularly imprinted polymers (MIPs), or the target's inherent electrocatalytic activity, with a transducer converting the resulting interaction into a measurable electrical signal. In agriculture, they are gaining importance for optimizing plant growth, crop quality, safety, and overall productivity. Healthy plants are vital globally as they ensure food security, support ecosystems, produce oxygen, protect soil, and sustain human life and environmental balance worldwide. Phytohormones are naturally occurring signaling molecules produced by plants that regulate growth, defense, responses to environmental stimuli and adaptation processes. Hence, fluctuations in phytohormone levels serve as early biochemical indicators of stress, often before visible signs appear. Major phytohormones involved in stress responses include abscisic acid (ABA), ethylene, methyl jasmonate (MeJA), salicylic acid (SA), indole-3-acetic acid (IAA), and cytokinins (CKs). Quantifying these phytohormones provides the early detection of abiotic and biotic stresses such as drought, nutrient imbalance, salinity, and pathogen attack. This early diagnosis supports timely intervention, improves crop management, and enhances agricultural productivity. Electrochemical sensors allow for rapid, sensitive, and sometimes real-time detection, even in field conditions. Their portability and compatibility with digital technologies make them promising tools for precision agriculture. However, challenges remain, such as ensuring durability in harsh environments, reducing device costs, and enabling detection of multiple targets simultaneously. Overall, electrochemical biosensors represent a powerful innovation in modern agriculture. With continued development and integration into smart farming systems, they are expected to play a crucial role in sustainable and efficient agricultural practices.

Indexed as

Electrochemical sensorPhytohormonesPrecision agricultureSmart farming

Identifiers

What OpenQuestion holds

Textmetadata
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.