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Gelatine-based Biosensor for Molecular screening of Aspirin and Paracetamol via Surface Enhanced Raman Spectroscopy

机译:基于明胶的生物传感器,用于通过表面增强拉曼光谱法分子筛的分子筛选和扑热息醇

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Polypeptide gelatine has been used extensively in microbiology to enhance cellular adhesion and growth.Likewise, fabrication of biochemical sensors using a variety of organic material and nanomaterials is a growingresearch area particularly in experiments involving single molecular screening. Both fields of study exploit thevarious interactions that occur at molecular level such as charge-charge binding, hydrogen bonding and van DerWaals forces. In this work, a thin film gelatine based biosensor, containing amino acids such as glycine, prolineand hydroxy-proline was synthesized on glass slides using the self-assembly method. Further -adaption involvedcoating gold nanoparticles onto the substrate to enhance chemical binding and improve signal intensity andsensitivity. Pharmaceutical drugs aspirin and paracetamol were used as analytes to explore the qualitative andquantitative capabilities of the sensor in molecular screening through surface enhanced Raman spectroscopy(SERS). The results showed a distinguishable qualitative difference between the Raman spectra of gelatine-drug(Gel-D) and gelatine-gold-drug (Gel-Au-D) fabricated sensors. Similarly in both Gel-D and Gel-Au-D, the peakareas of the functional groups found in both aspirin and paracetamol increased with drug concentration, yieldingsatisfactory calibration curves. The gelatine based biosensor thus holds potential as an in vitro sensing platformfor screening of pharmaceutical drugs.
机译:多肽明胶已广泛用于微生物学中以增强细胞粘附和生长。同样,使用各种有机材料和纳米材料的生物化学传感器的制备是一种生长研究领域特别是在涉及单分子筛查的实验中。两个研究领域都利用了分子水平发生的各种相互作用,例如电荷充电结合,氢键和范德瓦尔斯力量。在这项工作中,薄膜明胶基生物传感器,含有氨基酸如甘氨酸,脯氨酸使用自组装方法在玻璃载玻片上合成羟脯氨酸。进一步达到了达爱将金纳米颗粒涂覆到基材上以增强化学结合和提高信号强度和灵敏度。药物阿司匹林阿司匹林和扑热息痛用作分析物,以探索定性和通过表面增强拉曼光谱分析分子筛选传感器的定量能力(sers)。结果表明明胶 - 药物的拉曼光谱之间可区分的定性差异(凝胶D)和明胶 - 金 - 药物(凝胶-AU-D)制造的传感器。同样在凝胶-D和凝胶-AU-D中,峰值阿司匹林和扑热息醇中发现的官能团的区域随药物浓度而增加,屈服令人满意的校准曲线。因此,凝胶基的生物传感器将电位保持为体外传感平台用于筛选药物药物。

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