Noushin Nasiri

Prof. Noushin Nasiri

School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia
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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 February 2017 in Advanced Functional Materials
Verified
Journal Article
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ATAntonio Tricoli
Antonio Tricoli
Noushin NasiriNoushin Nasiri
Noushin Nasiri
SDSayan De
Sayan De


23 January 2019 in Sensors
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Journal Article
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Noushin NasiriNoushin Nasiri
Noushin Nasiri
CCChristian Clarke
Christian Clarke
Treating diseases at their earliest stages significantly increases the chance of survival while decreasing the cost of treatment. Therefore, compared to traditional blood testing methods it is the goal of medical diagnostics to deliver a technique that can rapidly predict and if required non-invasively monitor illnesses such as lung cancer, diabetes, melanoma and breast cancer at their very earliest stages, when the chance of recovery is significantly higher. To date human breath analysis is a promising candidate for fulfilling this need. Here, we highlight the latest key achievements on nanostructured chemiresistive sensors for disease diagnosis by human breath with focus on the multi-scale engineering of both composition and nano-micro scale morphology. We critically assess and compare state-of-the-art devices with the intention to provide direction for the next generation of chemiresistive nanostructured sensors.

17 March 2019 in Biosensors
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Journal Article
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Noushin NasiriNoushin Nasiri
Noushin Nasiri
CCChristian Clarke
Christian Clarke
Human breath has long been known as a system that can be used to diagnose diseases. With advancements in modern nanotechnology, gas sensors can now diagnose, predict, and monitor a wide range of diseases from human breath. From cancer to diabetes, the need to treat at the earliest stages of a disease to both increase patient outcomes and decrease treatment costs is vital. Therefore, it is the promising candidate of rapid and non-invasive human breath gas sensors over traditional methods that will fulfill this need. In this review, we focus on the nano-dimensional design of current state-of-the-art gas sensors, which have achieved records in selectivity, specificity, and sensitivity. We highlight the methods of fabrication for these devices and relate their nano-dimensional materials to their record performance to provide a pathway for the gas sensors that will supersede.

6 January 2017 in ACS Nano
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Journal Article
Closed access
WWWilliam S. Y. Wong
William S. Y. Wong
GLGuanyu Liu
Guanyu Liu
Noushin NasiriNoushin Nasiri
Noushin Nasiri
CHChonglei Hao
Chonglei Hao
Zuankai WangZuankai Wang
Zuankai Wang
ATAntonio Tricoli
Antonio Tricoli

13 January 2017 in Nanoscale
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Journal Article
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Noushin NasiriNoushin Nasiri
Noushin Nasiri
RBRenheng Bo
Renheng Bo
Lan FuLan Fu
Lan Fu
ATAntonio Tricoli
Antonio Tricoli
Visible-blind ultraviolet photodetectors are a promising emerging technology for the development of wide bandgap optoelectronic devices with greatly reduced power consumption and size requirements. A standing challenge is to improve the slow response time of these nanostructured devices. Here, we present a three-dimensional nanoscale heterojunction architecture for fast-responsive visible-blind UV photodetectors. The device layout consists of p-type NiO clusters densely packed on the surface of an ultraporous network of electron-depleted n-type ZnO nanoparticles. This 3D structure can detect very low UV light densities while operating with a near-zero power consumption of ca. 4 × 10−11 watts and a low bias of 0.2 mV. Most notably, heterojunction formation decreases the device rise and decay times by 26 and 20 times, respectively. These drastic enhancements in photoresponse dynamics are attributed to the stronger surface band bending and improved electron–hole separation of the nanoscale NiO/ZnO interface. These findings demonstrate a superior structural design and a simple, low-cost CMOS-compatible process for the engineering of high-performance wearable photodetectors.