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Development of Polypyrrole Modified Screen-Printed Carbon Electrode Based Sensors for Determination of L-Tyrosine in Pharmaceutical Products

机译:达妥罗尔改性丝网印刷碳电极基于碳电极的基于碳电极的研制测定药品L-酪氨酸

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摘要

Good health, of vital importance in order to carry out our daily routine, consists of both physical and mental health. Tyrosine (Tyr) deficiency as well as its excess are issues that can affect mental health and can generate disorders such as depression, anxiety, or stress. Tyr is the amino acid (AA) responsible for maintaining good mental health, and for this reason, the present research presents the development of new electrochemical sensors modified with polypyrrole (PPy) doped with different doping agents such as potassium hexacyanoferrate (II) (FeCN), sodium nitroprusside (NP), and sodium dodecyl sulfate (SDS) for a selective and sensitive detection of Tyr. The development of the sensors was carried out by chronoamperometry (CA) and the electrochemical characterization was carried out by cyclic voltammetry (CV). The detection limits (LOD) obtained with each modified sensor were 8.2 × 10−8 M in the case of PPy /FeCN-SPCE, 4.3 × 10−7 M in the case of PPy/NP-SPCE, and of 3.51 × 10−7 M in the case of PPy/SDS-SPCE, thus demonstrating a good sensitivity of these sensors detecting L-Tyr. The validation of sensors was carried out through quantification of L-Tyr from three pharmaceutical products by the standard addition method with recoveries in the range 99.92–103.97%. Thus, the sensors present adequate selectivity and can be used in the pharmaceutical and medical fields.
机译:健康,至关重要,以便进行日常生活,包括身心健康。酪氨酸(TYR)缺乏以及其过量是可能影响心理健康的问题,并且可以产生抑郁,焦虑或压力等疾病。 Tyr是负责维持良好心理健康的氨基酸(AA),因此,本研究表明,用掺杂有不同掺杂剂如己酰基甲甲酸钾(II)(FECN)(FECN)(FECN)(FECN)的新电化学传感器的发展),硝普钠(NP)和十二烷基硫酸钠(SDS),用于选择性和敏感的TYR​​检测。传感器的开发是通过计时抑制(CA)进行的,并且通过循环伏安法(CV)进行电化学表征。在PPY / FECN-SPCE的情况下,在PPY / FECN-SPCE的情况下,用每个改性传感器获得的检测限制(LOD)为8.2×10-8米,在PPY / NP-SPCE的情况下,4.3×10-7米,3.51×10-在PPY / SDS-SPCE的情况下,7米,从而展示了检测L-TYR的这些传感器的良好敏感性。通过标准添加方法通过三种药物产品量化的L-Tyr来进行传感器的验证,其恢复在99.92-103.97%的范围内。因此,传感器具有足够的选择性并且可以用于制药和医疗领域。

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