Standardized Quantification of Melatonin: Analytical Framework and Emerging Biosensor Technologies for Agricultural Biotechnology

Melatonin is evolutionarily preserved across nature, while accurate analysis faces huge challenges because concentrations vary by 8 orders of magnitude depending on the matrix. Here, chromatography-based techniques such as HPLC/UHPLC-MS are compared with immunoanalytical methods like ELISA/RIA and biosensor approaches. In this sense, LC-MS/MS has demonstrated higher sensitivity (fmol-level) with higher selectivity, only 5% CV, although at higher costs. Immunoassays showed 15-40% cross-reactivity with structural analogues, leading to overestimations of melatonin levels. Moreover, sample processing and melatonin stability have raised additional uncertainties beyond the analytical capability. This review discusses the validation principles of analytical methods and nanomaterial-based biosensors for online plant stress analysis within agriculture. The following areas of future research need to be focused on: a) uniform analytical recommendations for melatonin analysis, b) establishing internationally valid Certified Reference Materials that guarantee traceable interlaboratory harmonization, and c) translation of biosensors to precision agriculture applications.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2026-01-20
DOI
https://doi.org/10.1021/acs.jafc.5c15027
Primary Topic
Circadian rhythm and melatonin
Type
article
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article

Standardized Quantification of Melatonin: Analytical Framework and Emerging Biosensor Technologies for Agricultural Biotechnology

Abazar Ghorbani, Ge-Fei Hao, Moxian Chen, Marino B. Arnao et al.
Journal of Agricultural and Food Chemistry
Circadian rhythm and melatonin
article

Standardized Quantification of Melatonin: Analytical Framework and Emerging Biosensor Technologies for Agricultural Biotechnology

Abazar Ghorbani, Ge-Fei Hao, Moxian Chen, Marino B. Arnao, Melina Sarabandi
article en

Abstract

Melatonin is evolutionarily preserved across nature, while accurate analysis faces huge challenges because concentrations vary by 8 orders of magnitude depending on the matrix. Here, chromatography-based techniques such as HPLC/UHPLC-MS are compared with immunoanalytical methods like ELISA/RIA and biosensor approaches. In this sense, LC-MS/MS has demonstrated higher sensitivity (fmol-level) with higher selectivity, only 5% CV, although at higher costs. Immunoassays showed 15-40% cross-reactivity with structural analogues, leading to overestimations of melatonin levels. Moreover, sample processing and melatonin stability have raised additional uncertainties beyond the analytical capability. This review discusses the validation principles of analytical methods and nanomaterial-based biosensors for online plant stress analysis within agriculture. The following areas of future research need to be focused on: a) uniform analytical recommendations for melatonin analysis, b) establishing internationally valid Certified Reference Materials that guarantee traceable interlaboratory harmonization, and c) translation of biosensors to precision agriculture applications.

Journal of Agricultural and Food ChemistryVol. 74(4)
Nanjing Forestry University (CN), Guizhou University (CN), Planta (RU), Shanghai Pesticide Research Institute (CN), Institute of Plant Biology (HU), Research Institute of Forestry (CN), State Forestry and Grassland Administration (CN), Institut des Sciences des Plantes de Montpellier (FR), Universidad de Murcia (ES)
Zero hunger
Openalex Percentile: Top 82%
Circadian rhythm and melatonin
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Standardized Quantification of Melatonin: Analytical Framework and Emerging Biosensor Technologies for Agricultural Biotechnology — Abazar Ghorbani, Ge-Fei Hao, et al. · Journal of Agricultural and Food Chemistry (2026) | TGRS Research Map | TGRS