1404/02/01

معصومه حسنی موسوی

مرتبه علمی: دانشیار
ارکید:
تحصیلات: دکترای تخصصی
اسکاپوس:
دانشکده: دانشکده شیمی و علوم نفت
نشانی:
تلفن:

مشخصات پژوهش

عنوان
Classification and discrimination of pyridine-based compounds with various substitutions using fluorescent carbon-dots sensor array
نوع پژوهش
مقاله ارائه شده کنفرانسی
کلیدواژه‌ها
Carbon dots, Classification, Sensor array, Principal component analysis
سال 1398
پژوهشگران افسانه امیدی ، معصومه حسنی موسوی ، عباس کرمی

چکیده

Pyridine derivatives are important chemical compounds with widespread applications in various fields [1]. Several pyridine derivatives play important roles in biological systems [1]. This ring system is present in a number of natural products such as vitamins, niacin, niamide, vitamin-B6, alkaloids, nicotine, and pipeline [1]. So, detection and identification of different pyridine-based compounds with similar structures is of great interest. Carbon dots (C-dots) are kind of fluorescent materials that have drawn increasing attention in recent years owing to exceptional advantages such as high optical absorptivity, chemical stability, biocompatibility, and low toxicity [2]. Moreover, fluorescence quenching is a promising technique for chemical sensing applications and widely used for identification and quantitation of various analytes [3]. In this work, we have developed a facile fluorescent sensor array based on fluorescent carbon dots for detecting and differentiating some pyridine derivatives. Three kinds of nitrogen- doped carbon dots have been synthesized. These carbon dots have various surface states and thus exhibited diverse quenching responses to different target analytes. The fluorescence response was measured after incremental addition of analyte solutions i.e. 4-methyl pyridine, 4-pyridine carboxylic acid, 4-pyridinol, 2,3-pyridindiol, pyridine-3-carboxylic acid, 3- pyridine carboxamide, and 2-pyridine carboxylic acid. Implementation of the principal component analysis (PCA) and linear discriminant analysis (LDA) to the collected data matrices allowed the successful classification of all seven pyridine compounds with good accuracy. In addition, the binary and ternary mixtures of the seven pyridine compounds can also be well recognized with this sensor array. This method is simple, and the sensor arrays could be obtained easily with low-cost.