Chunxiao Hu

Dr. Chunxiao Hu

James Watt School of Engineering, University of Glasgow, Glasgow, Scotland G12 8QQ, UK
orcid

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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1 October 2017 in Biosensors and Bioelectronics
Verified
Journal Article
Open access
CHChunxiao Hu
Chunxiao Hu
SKSumit Kalsi
Sumit Kalsi
IZIoannis Zeimpekis
Ioannis Zeimpekis
KSKai Sun
Kai Sun
PAPeter Ashburn
Peter Ashburn
HMHywel Morgan
Hywel Morgan
A low cost thin-film transistor (TFT) nanoribbon (NR) sensor has been developed for rapid real-time detection of DNA amplification using an isothermal Recombinase Polymerase Amplification (RPA) method. The semiconductor chip measures DNA amplification through a pH change, rather than via fluorescence. The utility of the method was demonstrated by amplifying CTX-M and NDM, two genes that confer bacterial resistance to cephalosporins and carbapenems, respectively. It is shown that this approach provides extremely fast and sensitive detection. It can detect <10 copies of the gene in genomic DNA extracted from E. coli or K. pneumoniae clinical isolates within a few minutes. A differential readout system was developed to minimize the effect of primer-dimer amplification on the assay. The simple device has the potential for low cost, portable and real-time nucleic acid analysis as a Point of Care device.

28 April 2016 in Chemistry – An Asian Journal
Verified
Journal Article
Closed access
PDF file
PKPadmanathan Karthick Kannan
Padmanathan Karthick Kannan
CHChunxiao Hu
Chunxiao Hu
HMHywel Morgan
Hywel Morgan
Chandra Sekhar RoutChandra Sekhar Rout
Chandra Sekhar Rout

19 June 2019 in IEEE Transactions on Biomedical Engineering
Verified
Journal Article
Closed access
MAMohammed A. Al-Rawhani
Mohammed A. Al-Rawhani
CHChunxiao Hu
Chunxiao Hu
CGChristos Giagkoulovits
Christos Giagkoulovits
Valerio AnneseValerio Annese
Valerio Annese
BCBoon Chong Cheah
Boon Chong Cheah
DCDavid R. S. Cumming
David R. S. Cumming
Precision metabolomics and quantification for cost-effective rapid diagnosis of disease are the key goals in personalized medicine and point-of-care testing. At present, patients are subjected to multiple test procedures requiring large laboratory equipment. Microelectronics has already made modern computing and communications possible by integration of complex functions within a single chip. As More than Moore technology increases in importance, integrated circuits for densely patterned sensor chips have grown in significance. Here, we present a versatile single complementary metal-oxide-semiconductor chip forming a platform to address personalized needs through on-chip multimodal optical and electrochemical detection that will reduce the number of tests that patients must take. The chip integrates interleaved sensing subsystems for quadruple-mode colorimetric, chemiluminescent, surface plasmon resonance, and hydrogen ion measurements. These subsystems include a photodiode array and a single photon avalanche diode array with some elements functionalized to introduce a surface plasmon resonance mode. The chip also includes an array of ion sensitive field-effect transistors. The sensor arrays are distributed uniformly over an active area on the chip surface in a scalable and modular design. Bio-functionalization of the physical sensors yields a highly selective simultaneous multiple-assay platform in a disposable format. We demonstrate its versatile capabilities through quantified bio-assays performed on-chip for glucose, cholesterol, urea, and urate, each within their naturally occurring physiological range.

22 May 2013 in PLOS ONE
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Journal Article
Open access
PDF file
CHChunxiao Hu
Chunxiao Hu
JDJames Dillon
James Dillon
JKJames Kearn
James Kearn
CMCaitriona Murray
Caitriona Murray
VOVincent O’cOnnor
Vincent O’cOnnor
HMHywel Morgan
Hywel Morgan
Genetic and chemical biology screens of C. elegans have been of enormous benefit in providing fundamental insight into neural function and neuroactive drugs. Recently the exploitation of microfluidic devices has added greater power to this experimental approach providing more discrete and higher throughput phenotypic analysis of neural systems. Here we make a significant addition to this repertoire through the design of a semi-automated microfluidic device, NeuroChip, which has been optimised for selecting worms based on the electrophysiological features of the pharyngeal neural network. We demonstrate this device has the capability to sort mutant from wild-type worms based on high definition extracellular electrophysiological recordings. NeuroChip resolves discrete differences in excitatory, inhibitory and neuromodulatory components of the neural network from individual animals. Worms may be fed into the device consecutively from a reservoir and recovered unharmed. It combines microfluidics with integrated electrode recording for sequential trapping, restraining, recording, releasing and recovering of C. elegans. Thus mutant worms may be selected, recovered and propagated enabling mutagenesis screens based on an electrophysiological phenotype. Drugs may be rapidly applied during the recording thus permitting compound screening. For toxicology, this analysis can provide a precise description of sub-lethal effects on neural function. The chamber has been modified to accommodate L2 larval stages showing applicability for small size nematodes including parasitic species which otherwise are not tractable to this experimental approach. We also combine NeuroChip with optogenetics for targeted interrogation of the function of the neural circuit. NeuroChip thus adds a new tool for exploitation of C. elegans and has applications in neurogenetics, drug discovery and neurotoxicology.

13 April 2016 in Analytical Chemistry
Verified
Journal Article
Closed access
CHChunxiao Hu
Chunxiao Hu
IZIoannis Zeimpekis
Ioannis Zeimpekis
KSKai Sun
Kai Sun
SASally Anderson
Sally Anderson
PAPeter Ashburn
Peter Ashburn
HMHywel Morgan
Hywel Morgan

1 February 2018 in Biosensors and Bioelectronics
Verified
Journal Article
Open access
DHDanni Hao
Danni Hao
CHChunxiao Hu
Chunxiao Hu
JGJames Grant
James Grant
AGAndrew Glidle
Andrew Glidle
DCDavid R.S. Cumming
David R.S. Cumming
We report on the design and fabrication of a hybrid sensor that integrates transmission-mode localized surface plasmonic resonance (LSPR) into a quartz crystal microbalance (QCM) for studying biochemical surface reactions. The coupling of LSPR nanostructures and a QCM allows optical spectra and QCM resonant frequency shifts to be recorded simultaneously and analyzed in real time for a given surface adsorption process. This integration simplifies the conventional combination of SPR and QCM and has the potential to be miniaturized for application in point-of-care (POC) diagnostics. The influence of antibody-antigen recognition effect on both the QCM and LSPR has been analyzed and discussed.