生物传感器
生化工程
褪黑素
生物技术
纳米技术
农业
计算机科学
环境科学
样品(材料)
风险分析(工程)
认证
灵敏度(控制系统)
新兴技术
标准物质
工艺工程
样品制备
分析技术
生物
工程类
化学
作者
Melina Sarabandi,Abazar Ghorbani,Ge-Fei Hao,Marino B. Arnao,Moxian Chen
标识
DOI:10.1021/acs.jafc.5c15027
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI