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Dive into the research topics where Chi Leng Leong is active.

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Featured researches published by Chi Leng Leong.


ACS Chemical Neuroscience | 2013

Continuous online microdialysis using microfluidic sensors: dynamic neurometabolic changes during spreading depolarization

Michelle Rogers; Delphine Feuerstein; Chi Leng Leong; Masatoshi Takagaki; Xize Niu; Rudolf Graf; Martyn G. Boutelle

Microfluidic glucose biosensors and potassium ion selective electrodes were used in an in vivo study to measure the neurochemical effects of spreading depolarizations (SD), which have been shown to be detrimental to the injured human brain. A microdialysis probe implanted in the cortex of rats was connected to a microfluidic PDMS chip containing the sensors. The dialysate was also analyzed using our gold standard, rapid sampling microdialysis (rsMD). The glucose biosensor performance was validated against rsMD with excellent results. The glucose biosensors successfully monitored concentration changes, in response to SD wave induction, in the range of 10–400 μM with a second time-resolution. The data show that during a SD wave, there is a time delay of 62 ± 24.8 s (n = 4) between the onset of the increase in potassium and the decrease in glucose. This delay can be for the first time demonstrated, thanks to the high-temporal resolution of the microfluidic sensors sampling from a single tissue site (the microdialysis probe), and it indicates that the decrease in glucose is due to the high demand of energy required for repolarization.


Journal of Cerebral Blood Flow and Metabolism | 2017

Simultaneous monitoring of potassium, glucose and lactate during spreading depolarization in the injured human brain – Proof of principle of a novel real-time neurochemical analysis system, continuous online microdialysis:

Michelle Rogers; Chi Leng Leong; Sally Gowers; Isabelle Camille Samper; Sharon L. Jewell; Asma Khan; Leanne McCarthy; Clemens Pahl; Christos M. Tolias; Daniel C. Walsh; Anthony J. Strong; Martyn G. Boutelle

Spreading depolarizations occur spontaneously and frequently in injured human brain. They propagate slowly through injured tissue often cycling around a local area of damage. Tissue recovery after an spreading depolarization requires greatly augmented energy utilisation to normalise ionic gradients from a virtually complete loss of membrane potential. In the injured brain, this is difficult because local blood flow is often low and unreactive. In this study, we use a new variant of microdialysis, continuous on-line microdialysis, to observe the effects of spreading depolarizations on brain metabolism. The neurochemical changes are dynamic and take place on the timescale of the passage of an spreading depolarization past the microdialysis probe. Dialysate potassium levels provide an ionic correlate of cellular depolarization and show a clear transient increase. Dialysate glucose levels reflect a balance between local tissue glucose supply and utilisation. These show a clear transient decrease of variable magnitude and duration. Dialysate lactate levels indicate non-oxidative metabolism of glucose and show a transient increase. Preliminary data suggest that the transient changes recover more slowly after the passage of a sequence of multiple spreading depolarizations giving rise to a decrease in basal dialysate glucose and an increase in basal dialysate potassium and lactate levels.


ACS Chemical Neuroscience | 2017

Enhancing Continuous Online Microdialysis Using Dexamethasone: Measurement of Dynamic Neurometabolic Changes during Spreading Depolarization

Erika L. Varner; Chi Leng Leong; Andrea Jaquins-Gerstl; Kathryn M. Nesbitt; Martyn G. Boutelle; Adrian C. Michael

Microdialysis is well established in chemical neuroscience as a mainstay technology for real time intracranial chemical monitoring in both animal models and human patients. Evidence shows that microdialysis can be enhanced by mitigating the penetration injury caused during the insertion of microdialysis probes into brain tissue. Herein, we show that retrodialysis of dexamethasone in the rat cortex enhances the microdialysis detection of K+ and glucose transients induced by spreading depolarization. Without dexamethasone, quantification of glucose transients was unreliable by 5 days after probe insertion. With dexamethasone, robust K+ and glucose transients were readily quantified at 2 h, 5 days, and 10 days after probe insertion. The amplitudes of the K+ transients declined day-to-day following probe insertion, and the amplitudes of the glucose transients exhibited a decreasing trend that did not reach statistical significance. Immunohistochemistry and fluorescence microscopy confirm that dexamethasone is highly effective at preserving a healthy probe-brain interface for at least 10 days even though retrodialysis of dexamethasone ceased after 5 days.


international symposium on circuits and systems | 2016

An ion imaging ISFET array for Potassium and Sodium detection

Nicolas Moser; Chi Leng Leong; Yuanqi Hu; Martyn G. Boutelle; Pantelis Georgiou

In this paper, we present a novel approach to ISFET arrays which allows the conception of ion imaging Lab-on-CMOS platforms. K+ and Na+ selective polymer membranes are deposited on the surface of the array so that each pixel is selective to a particular ionic species. An initial calibration produces an accurate mapping of the array in terms of ion-selective regions and determines the sensitivity of the membrane. The system exhibits K+ and Na+ sensitivities of respectively 51.2 mV/dec and 46.8 mV/dec, and demonstrates good discrimination of Potassium and Sodium ions for a common solution exposed to the chip, with a reported error lower than 1%. This ISFET-based tri-ion imaging array constitutes the basis for a portable integrated multi-ion platform.


Scientific Reports | 2018

Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients

Paula Cunnea; Tommy Gorgy; Konstantinos Petkos; Sally Gowers; Haonan Lu; Cristina Morera; Wen Wu; Phillip Lawton; Katherine Nixon; Chi Leng Leong; Flavia Sorbi; Lavinia Domenici; Andrew Paterson; Ed Curry; Hani Gabra; Martyn G. Boutelle; Emmanuel M. Drakakis; Christina Fotopoulou

Currently, there are no valid pre-operatively established biomarkers or algorithms that can accurately predict surgical and clinical outcome for patients with advanced epithelial ovarian cancer (EOC). In this study, we suggest that profiling of tumour parameters such as bioelectrical-potential and metabolites, detectable by electronic sensors, could facilitate the future development of devices to better monitor disease and predict surgical and treatment outcomes. Biopotential was recorded, using a potentiometric measurement system, in ex vivo paired non-cancerous and cancerous omental tissues from advanced stage EOC (n = 36), and lysates collected for metabolite measurement by microdialysis. Consistently different biopotential values were detected in cancerous tissue versus non-cancerous tissue across all cases (p < 0.001). High tumour biopotential levels correlated with advanced tumour stage (p = 0.048) and tumour load, and negatively correlated with stroma. Within our EOC cohort and specifically the high-grade serous subtype, low biopotential levels associated with poorer progression-free survival (p = 0.0179, p = 0.0143 respectively). Changes in biopotential levels significantly correlated with common apoptosis related pathways. Lactate and glucose levels measured in paired tissues showed significantly higher lactate/glucose ratio in tissues with low biopotential (p < 0.01, n = 12). Our study proposes the feasibility of biopotential and metabolite monitoring as a biomarker modality profiling EOC to predict surgical and clinical outcomes.


Analytical Chemistry | 2018

Chemical Monitoring in Clinical Settings: Recent Developments toward Real-Time Chemical Monitoring of Patients

Marsilea Adela Booth; Sally Anne Nicola Gowers; Chi Leng Leong; Michelle Rogers; Isabelle Camille Samper; Aidan Paul Wickham; Martyn G. Boutelle

This review covers references found in the recent literature (from 2015) describing clinically relevant chemical monitoring that either gives continuous chemical information in real time or has the near prospect of doing so.


international symposium on circuits and systems | 2017

Live demonstration: Real-time chemical imaging of ionic solutions using an ISFET array

Nicolas Moser; Chi Leng Leong; Yuanqi Hu; Martyn G. Boutelle; Pantelis Georgiou

We demonstrate a CMOS-based lab-on-chip platform which is capable of ion imaging to detect a variation in hydrogen, potassium and sodium ions. An ISFET array is used to detect a change in ion concentration with a calibration scheme to cancel the offset due to trapped charge. The SÍ3N4 passivation layer confers an inherent sensitivity to the sensors, and additional polymer membranes are pipetted containing a potassium and sodium ionophore. An initial algorithm identifies the sensitivity of each pixel towards the target ions. The user can inject a solution with a given concentration of ions and observe the real-time output change of the array on a MATLAB interface. The display then provides an estimate of the target ion concentration.


Chemical Communications | 2014

A low pH sensor from an esterified pillar[5]arene

Raghuram Reddy Kothur; Jessica Hall; Bhavik Anil Patel; Chi Leng Leong; Martyn G. Boutelle; Peter J. Cragg


Analytical and Bioanalytical Chemistry | 2013

Online rapid sampling microdialysis (rsMD) using enzyme-based electroanalysis for dynamic detection of ischaemia during free flap reconstructive surgery.

Michelle Rogers; P. A. Brennan; Chi Leng Leong; Sally Gowers; T. Aldridge; T. K. Mellor; Martyn G. Boutelle


Journal of Surgical Research | 2016

Rapid sampling microdialysis as a novel tool for parenchyma assessment during static cold storage and hypothermic machine perfusion in a translational ex vivo porcine kidney model

Karim Hamaoui; Sally Gowers; Samir Damji; Michelle Rogers; Chi Leng Leong; George B. Hanna; Ara Darzi; Martyn G. Boutelle; Vassilios Papalois

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Sally Gowers

Imperial College London

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Yuanqi Hu

Imperial College London

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