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All-in-one calcium nanoflowers for dual outputs biosensor: A simultaneous strategy for depression drug evaluation and non-invasive stress assessment

生物传感器 辣根过氧化物酶 生物标志物 唾液 化学 色谱法 生物化学
作者
Shengnan Yang,Fuju Dai,Lina Lu,Mengai Yin,Lan Xue,Wei Feng,Binshuai Li,Jun Jiao,Qiang Chen
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:216: 114655-114655 被引量:11
标识
DOI:10.1016/j.bios.2022.114655
摘要

Although enzyme-based signal amplification has been well developed for biosensors, their application in low-abundance biomarker under complicated conditions detection remains challenge. Cortisol is a steroid hormone and a quantitative evaluation of cortisol can objectively assess stress and depression. However, various factors can induce slight cortisol changes in body fluids, and this in turn sets a strict requirement for bedside testing of cortisol for evaluation of stress. Herein, all-in-one calcium nanoflowers (CaHPO4-AM-HRP-SA NFs) integrated with horseradish peroxidase (HRP), α-amylase (α-AM), and streptavidin (SA) have been synthesized to develop a simple but powerful biosensor for cortisol detection. High specific surface area and allosteric modulator provided by the hybrid nanoflowers as inherent advantages significantly boosted the catalytical ability and stability compared with the free enzymes. CaHPO4-AM-HRP-SA NFs also endowed the sensor with two output signals of one sample, leading the as-prepared sensor to realize self-calibration detection. Aside from using a traditional microplate reader to measure the signal, it could also be read out by a handheld blood glucose meter and a mobile phone. The sensor exhibited attractive simplicity and sensitivity with a low LOD of 98.5 pg mL-1. It accomplished the sensitive evaluation of cortisol in rat serum and assessed the antidepressant effects of different medications. The non-invasive and reliable cortisol detection is also achieved in human urine and saliva samples. Overall, we have demonstrated that the sensor can be deployed as a promising platform to evaluate drug efficiency and monitor stress in a simple and non-invasive manner.
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