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Microfluidics: Rapid Diagnosis for Breast Cancer

Nano-Micro Letters 2016年第3期8卷 204-220页

作者： Satvinder Panesar suresh neethirajan BioNano Laboratory School of Engineering University of Guelph

Breast cancer affected 1.7 million people worldwide in 2012 and accounts for approximately 23.3 % of all cancers diagnosed in women. The disease is characterized by a genetic mutation, either inherited or resulting from environmental factors, that causes uncontrollable cellular growth of breast tissue or adjacent tissues. Current means of diagnosing this disease depend on the individual analyzing the results from bulky, highly technical, and expensive equipment that is not globally accessible. As a result, patients can go undiagnosed due to a lack of available equipment or be overdiagnosed due to human error. This review attempts to highlight current means of diagnosing breast cancer and critically analyze their effectiveness and usefulness in terms of patient survival. An alternative means based on microfluidics biomarker detection is then presented. This method can be considered as a primary screening tool for diagnosing breast cancer based on its robustness, high throughput, low energy requirements, and accessibility to the general public.

关键词： Mircofluidics Mi RNA Biomarkers Diagnostic technology Breast cancer

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Noninvasive Label-Free Detection of Cortisol and Lactate Using Graphene Embedded Screen-Printed Electrode

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Nano-Micro Letters 2018年第3期10卷 42-51页

作者： Satish K.Tuteja Connor Ormsby suresh neethirajan BioNano Lab School of Engineering University of Guelph

A sensitive and specific immunosensor for the detection of the hormones cortisol and lactate in human or animal biological fluids, such as sweat and saliva, was devised using the label-free electrochemical chronoamperometric technique. By using these fluids instead of blood,the biosensor becomes noninvasive and is less stressful to the end user, who may be a small child or a farm *** graphene oxide(e-RGO) was used as a synergistic platform for signal amplification and template for bioconjugation for the sensing mechanism on a screenprinted electrode. The cortisol and lactate antibodies were bioconjugated to the e-RGO using covalent carbodiimide chemistry. Label-free electrochemical chronoamperometric detection was used to analyze the response to the desired biomolecules over the wide detection range. A detection limit of 0.1 ng mL^(-1) for cortisol and 0.1 mM for lactate was established and a correlation between concentration and current was observed. A portable, handheld potentiostat assembled with Bluetooth communication and battery operation enables the developed system for point-of-care applications. A sandwich-like structure containing the sensing mechanisms as a prototype was designed to secure the biosensor to skin and use capillary action to draw sweat or other fluids toward the sensing mechanism. Overall, the immunosensor shows remarkable specificity, sensitivity as well as the noninvasive and point-of-care capabilities and allows the biosensor to be used as a versatile sensing platform in both developed and developing countries.

关键词： Graphene Immunosensor Electrochemical Screen-printed electrodes Cortisol sensor

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Detection of the adulteration of extra virgin olive oil by near-infrared spectroscopy and chemometric techniques

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Food Quality and Safety 2018年第4期2卷 189-198页

作者： Nick Vanstone Andrew Moore Perry Martos suresh neethirajan BioNano Laboratory School of EngineeringUniversity of Guelph50 Stone Road EastGuelphOntario N1G 2W1Canada Agriculture&Food Laboratory Laboratory Services DivisionUniversity of Guelph95 Stone Road WestGuelphOntario N1G 2Z4Canada

Introduction and Objectives:Due to the value of extra virgin olive oil(EVOO),adulteration has become an important issue in the industry,which has created demand for quick and inexpensive fraud detection *** contrast to many current food fraud detection methods,near-infrared spectroscopy(NIRS)can be inexpensive and convenient by minimizing sample preparation and measurement *** this study,we developed a method using NIRS and chemometrics to detect adulteration of EVOO with other edible oil types that does not require sample preparation and can be completed in less than 10 ***,Results,and Discussions:First,a single EVOO was adulterated with corn oil from 2.7%to 25%w/*** for the unadulterated sample and its adulterated counterparts were measured.A principal component analysis(PCA)scores plot showed separation between the adulterated mixtures and the unadulterated sample,which demonstrated that the developed method could detect as low as 2.7%w/w adulteration if an unadulterated sample of the oil in question is *** study adulteration detection without an unadulterated sample for reference,the spectra of unadulterated samples and samples adulterated with corn,sunflower,soybean,and canola oils were measured.A PCA with soft independent modelling of class analogy was used for adulteration *** limits of adulteration detection for corn,sunflower,soybean,and canola oils were found to be approximately 20%,20%,15%,and 10%,***:These results demonstrate that the developed method can be used to rapidly screen for adulterated olive oils.

关键词： olive oil adulteration spectroscopy chemometrics NIR principal component analysis

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