Abstract

Herein, the boron and nitrogen co-doped 0-dimensional graphene quantum dots (B,N-GQDs) with high quantum yield (QY) were synthesized via microwave-assisted hydrothermal method at 170 °C for 20 min using fresh passion fruit juice and boric acid as the starting materials. The 3–6 layers of B,N-GQDs with mean particle size of 9 ± 1 nm were then used for ultra-sensitive and selective detection of tetracycline in aqueous and biological media. The hybridization of boron and nitrogen atoms into the GQD structures increases the intensity of electronegative, resulting in the enhancement of QY to 50 ± 1%. The B,N-GQDs show their excellent analytical performance on tetracycline determination after 2 min of reaction under an optimal condition at pH 5. The linear range of 0.04–70 µM and with limits of detection (LOD) of 1 nM in phosphate buffer saline (PBS), 1.9 nM in urine and 2.2 nM in human serum are obtained. Moreover, the high selectivity of tetracycline by B,N-GQDs over the other 23 interferences is observed. The π-π interaction and electron donor-acceptor principle play pivotal roles in enhancing the ultra-sensitivity and selectivity of B,N-GQDs toward TC detection. Moreover, the B, N-GQD based paper nanosensor exhibits an excellent analytical performance on visual detection of 0.1–30 µM TC in human serum. Results of this study clearly indicate the feasibility of synthesis of B,N-GQDs derived from passion fruit juice for ultrasensitive tetracycline detection, which can open an avenue to use natural products for the preparation of environmentally benign and biocompatible carbon nanomaterials for highly sensitive detection of drugs, antibiotics, organic compounds and biomarkers.

Highlights

  • Tetracycline (TC) is one of the wide-spectrum and efficient antibiotics widely employed to treat and prevent infections caused by bacteria in humans and animals [1]

  • To the best of our knowledge, this is the first study on utilizing passion fruit juice as the carbon sources for green synthesis of B,N-Graphene quantum dots (GQDs) as the label-free fluorescent probe for effectively detection of antibiotics in different media, which can open a gateway in design a simple, cost-benefit and environmentally friendly carbon-based materials for a wide variety of practical applications in green chemistry, monitoring, analysis and biomedical engineering

  • 3 mL of 15 μg mL−1 B,N-GQD solutions were prepared in phosphate buffer saline (PBS) and the stock TC solution was added at an appropriate amount to get the desired concentration ranging from 0.04 to 70 μM

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Summary

Introduction

Tetracycline (TC) is one of the wide-spectrum and efficient antibiotics widely employed to treat and prevent infections caused by bacteria in humans and animals [1]. B,N co-doped GQDs (B,N-GQDs) have been fabricated using the microwave-assisted hydrothermal method using passion fruit juice and boric acid as the starting materials and used as the label-free fluorescent probe for TC determination in phosphate-buffered saline (PBS) and human serum. To the best of our knowledge, this is the first study on utilizing passion fruit juice as the carbon sources for green synthesis of B,N-GQDs as the label-free fluorescent probe for effectively detection of antibiotics in different media, which can open a gateway in design a simple, cost-benefit and environmentally friendly carbon-based materials for a wide variety of practical applications in green chemistry, monitoring, analysis and biomedical engineering. The environmentally benign fabrication of B,N co-doped graphene quantum dots (SBc,hNe-mGQe D1.s)Tbhye menivcriorownamvee-natsaslilsytebdenhiygdnrofathberircmatailomn eotfhBod,Nucsoin-gdoppaesdsiognrafpruhietnjueicqeuaanndtubmordoontsac(iBd,NastGhQe Dstas)rtbinygmmicartoewriaalvsea-ansdsitshteedaphpyldicraottihoenrmtoatlemtraecthyocldinuesdinegtepctaisosnioinn fPrBuSit(jpuhicoespanhdateb-obruoffnearceiddsaaslitnhee) astnadrthinugmmanatseerriaulms a. nd the application to tetracycline detection in PBS (phosphate-buffered saline) and human serum

Experimental
Surface Characterization
Results and discussion
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