DNA based biosensing of Acinetobacter baumannii using nanoparticles aggregation method

DNA based biosensing of Acinetobacter baumannii using nanoparticles aggregation method


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دانشگاه علوم پزشکی تبریز
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نویسندگان: فرناز بهاورنیا , پریا پاشازاده , محمد حسن زاده محله

کلمات کلیدی: Chemistry, Microbiology, Nanoparticles, Analytical chemistry, Sensor, Biosensor, Genosensor, Acinetobacter baumannii, DNA hybridization, Pathogenic bacteria,

نشریه: 0 , 7 , 6 , 2020

اطلاعات کلی مقاله
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نویسنده ثبت کننده مقاله محمد حسن زاده محله
مرحله جاری مقاله تایید نهایی
دانشکده/مرکز مربوطه مرکز تحقیقات آنالیز دارویی
کد مقاله 72879
عنوان فارسی مقاله DNA based biosensing of Acinetobacter baumannii using nanoparticles aggregation method
عنوان لاتین مقاله DNA based biosensing of Acinetobacter baumannii using nanoparticles aggregation method
ناشر 4
آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ بلی
عنوان نشریه (خارج از لیست فوق) Heliyon
نوع مقاله Original Article
نحوه ایندکس شدن مقاله ایندکس شده سطح یک – ISI - Web of Science
آدرس لینک مقاله/ همایش در شبکه اینترنت

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Acinetobacter baumannii is the main cause of nosocomial infections in blood, urinary tract, wounds and in lungs leading to pneumonia. Apart from its strong predilection to be the cause of serious illnesses in intensive care units. Herein, we present a specific and sensitive approach for the monitoring of Acinetobacter baumannii genome based on citrate capped silver nanoparticles (Cit-AgNPs) using spectroscopic methods. In this study, (5ʹ SH-TTG TGA ACT ATT TAC GTC AGC ATG C3ʹ) sequence was used as a probe DNA (pDNA) of Acinetobacter baumannii. Then, complementary DNA (cDNA) was used for hybridization. After the hybridization of pDNA with cDNA, target DNA (5ʹ GCA TGC TGA CGT AAA TAGTTC ACA A 3ʹ) was recognized and detected using turn-on fluorescence bioassay. After the hybridization of pDNA with cDNA, the target DNA was successfully measured in optimum time of 2 min by spectrophotometric techniques. Moreover, the selectivity of designed bioassay was evaluated in the presence of two mismatch sequences and excellent differentiation was obtained. 1 Zepto-molar (zM) of low limit of quantification (LLOQ) was achieved by this genosensor. The present study paved the way for quick (2 min) and accurate detection of Acinetobacter baumannii, which can be a good alternative to the traditional methods. Current study proposed a novel and significant diagnostic test towards Acinetobacter baumannii detection based on silver nanoparticles aggregation which has the capability of being a good alternative to the traditional methods. Moreover, the proposed genosensor successfully could be applied for the detection of other pathogens.

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نویسنده نفر چندم مقاله
فرناز بهاورنیااول
پریا پاشازادهدوم
محمد حسن زاده محلهسوم

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