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Dr Liang Wang

Research Fellow

Global Centre for Environmental Remediation

Career Summary

Biography

Environmental pollutants are pervasive throughout the human food chain. One of the major challenges in environmental chemistry is determining contaminants in situ rapidly and reliably prior to significant changes may occur. Determining chemicals of interest in soil, water, food or organism tissues in situ has the major advantage of minimizing chemical transformations that may occur with transportation to laboratories for measurement.

My research interest lies is coupling chemometric computational methodologies to environmental processes and problems. These include rapid determination of contaminants in food stuffs, coupling of erosion processes with in situ measurements and also applying advanced analytical measurements to ecotoxicological processes. This includes high resolution mapping of contaminants in a range of environmental media.

Following my PhD graduation, I continued my research direction as a full-time postdoctoral researcher. From 2011 to present time, I have worked full-time as a postdoctoral researcher at University of South Australia and the University of Newcastle.

My research contributions and interests include:

  1. Computational methodologies and chemometrics
    • My work developed and patented a methodological system for automatic analysis of Fourier Transform Infrared spectral data to simultaneously determine six BTEX components (benzene, toluene, ethylbenzene and three different xylenes) in mixed vapour samples. It became evident that organic compounds can be comprehensively and simultaneously determined using FTIR spectral data located in the fingerprint region;

  • Application of a genetic algorithm (GA) to modify one of the most popular Independent Component Analysis (ICA) methods, the fast fixed-point algorithm for ICA (fastICA), to avoid the local maxima problem commonly observed with fastICA. This patented method, geneticICA, can be used as a data pre-processing method to improve the accuracy of prediction of BPNNs;

  • Furthermore, in order to simplify the recalibration procedures of ion selective electrode array for practical utilities, my work developed and patented mathematical models to describe the characteristics of an ion selective electrode (ISE) array’s response. By using the models with measuring only a very few standard solutions, the ISE array can be automatically recalibrated. These methods increase the simplicity of measurement of multiple ions simultaneously with ISEs.

  1. Ecotoxicological modelling
    • My work coupled the factorial design experiment with artificial neural networks and genetic algorithms to develop a model for predicting the interactive toxicological effects using a soil microalga. The chemicals included in the mixtures were two polyaromatic hydrocarbons (PAHs), phenanthrene and benzo[a]pyrene, and two heavy metals (HMs), cadmium and lead. Three bio-chemicals implicated in oxidative stress, viz., malondialdehyde (a measure for lipid peroxidation, LPO), catalase activity and proline accumulation were used as the toxicity criteria;

  • My work applied computational methodologies to optimize the parameters of a terrestrial biotic ligand-like model (BLM) including carbonate and phosphate. Estimated effective concentrations from the BLM-like parametrization were strongly correlated to measured arsenate values in pore-water; this approach has also been applied to copper, lead and zinc.

  1. Complementary chemometric and environmental modelling

  • Combining chemometric techniques to environmental and ecological processes provide detailed in situ information on chemistry and environmental processes. I have developed erosion models to evaluate the fate and transport of a range of environmental contaminants based on the landscape and soil properties.

  1. Environmental monitoring

Development of on-line monitoring sensor array’s such as chemical sensors and FTIR. The research involves applying computational and mathematical methods to the design and selection of optimal procedures and experiments to maximise information obtained from analysis of chemical data. I have developed on-line monitoring integrated with chemometric methods, including:

  • Development of both combined sensor probes with capacity to monitor multiple contaminants in the field;
  • Development of software tools and smart phone access for remote monitoring of pollutants in the environment;



Qualifications

  • PhD, University of South Australia
  • Master of Information Technology, University of Adelaide

Keywords

  • Analytical tools
  • Chemical sensors
  • Electronic tongue

Fields of Research

Code Description Percentage
030106 Quality Assurance, Chemometrics, Traceability and Metrological Chemistry 30
030107 Sensor Technology (Chemical aspects) 40
080108 Neural, Evolutionary and Fuzzy Computation 30

Professional Experience

UON Appointment

Title Organisation / Department
Research Fellow University of Newcastle
Global Centre for Environmental Remediation
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (18 outputs)

Year Citation Altmetrics Link
2017 Subashchandrabose SR, Wang L, Venkateswarlu K, Naidu R, Megharaj M, 'Interactive effects of PAHs and heavy metal mixtures on oxidative stress in Chlorella sp MM3 as determined by artificial neural network and genetic algorithm', ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS, 21 203-212 (2017) [C1]
DOI 10.1016/j.algal.2016.11.018
Citations Scopus - 1Web of Science - 1
Co-authors Megh Mallavarapu, Ravi Naidu, Suresh Subashchandrabose
2017 Cheng Y, Wang L, Faustorilla V, Mallavarapu M, Naidu R, Chen Z, 'Integrated electrochemical treatment systems for facilitating the bioremediation of oil spill contaminated soil', Chemosphere, 175 294-299 (2017) [C1]
DOI 10.1016/j.chemosphere.2017.02.079
Citations Scopus - 1
Co-authors Zuliang Chen, Megh Mallavarapu, Ravi Naidu
2017 Wang L, Cheng Y, Lamb D, Lesniewski P, Chen Z, Mallavarapu M, Naidu R, 'Novel recalibration methodologies for ion-selective electrode arrays in the multi-ion interference scenario', Journal of Chemometrics, 31 (2017) [C1]
DOI 10.1002/cem.2870
Co-authors Zuliang Chen, Ravi Naidu, Dane Lamb, Megh Mallavarapu
2017 Kader M, Lamb DT, Wang L, Megharaj M, Naidu R, 'Zinc-arsenic interactions in soil: Solubility, toxicity and uptake', Chemosphere, 187 357-367 (2017) [C1]

© 2017 Elsevier Ltd Arsenic (As) and zinc (Zn) are common co-contaminants in mining impacted soils. Their interaction on solubility and toxicity when present concurrently is not ... [more]

© 2017 Elsevier Ltd Arsenic (As) and zinc (Zn) are common co-contaminants in mining impacted soils. Their interaction on solubility and toxicity when present concurrently is not well understood in natural systems. The aim of this study was to observe their interaction in solubility (soil-solution), bioaccumulation (shoot uptake) and toxicity to cucumber (Cucumis sativa L) conducting 4 weeks pot study in 5 different soils spiked with As (0, 2, 4, 8 to 1024 mg kg -1 ) individually and with Zn at two phytotoxic doses. The As pore-water concentration was significantly reduced (df = 289, Adjusted R 2 = 0.84, p < 0.01) in the presence of Zn in the whole dataset, whereas Zn and Zn 2+ activity in pore-water was reduced significantly only in the two alkaline soils. This outcome may be due to adsorption/surface precipitation or tertiary bridging complexation. No homogenous precipitation of zinc arsenate could be established using electron microscopy, XRD or even equilibrium calculations. For bioaccumulation phase, no significant effect of Zn on As uptake was observed except acidic MG soil whereas, Zn uptake was significantly reduced (p < 0.05) by As in whole dataset. However, an additive response was observed mostly except acidic MG soil. The synergistic response (more than additive) was predominant in this soil for a wide range of inhibition concentration (0¿80%) at both Zn EC10 and EC50 levels. Since additive response is mostly considered in risk assessment for mixtures, precautions should be implemented for assessment of toxicity for As-Zn mixture in acidic soil due to their synergistic response in some soils.

DOI 10.1016/j.chemosphere.2017.08.093
Co-authors Megh Mallavarapu, Ravi Naidu, Dane Lamb
2016 Lamb DT, Kader M, Wang L, Choppala G, Rahman MM, Megharaj M, Naidu R, 'Pore-Water Carbonate and Phosphate As Predictors of Arsenate Toxicity in Soil', ENVIRONMENTAL SCIENCE & TECHNOLOGY, 50 13062-13069 (2016) [C1]
DOI 10.1021/acs.est.6b03195
Citations Scopus - 2
Co-authors Dane Lamb, Ravi Naidu, Mahmud Rahman, Megh Mallavarapu
2016 Kader M, Lamb DT, Wang L, Megharaj M, Naidu R, 'Predicting copper phytotoxicity based on pore-water pCu', ECOTOXICOLOGY, 25 481-490 (2016) [C1]
DOI 10.1007/s10646-015-1605-7
Citations Scopus - 5Web of Science - 2
Co-authors Megh Mallavarapu, Dane Lamb, Ravi Naidu
2016 Liu E, Sarkar B, Wang L, Naidu R, 'Copper-complexed clay/poly-acrylic acid composites: Extremely efficient adsorbents of ammonia gas', Applied Clay Science, 121-122 154-161 (2016) [C1]

© 2015 Elsevier B.V. Work reported in this manuscript takes into consideration the possible use of NH 3 gas by terrorists and the potential for an effective and rapid removal of... [more]

© 2015 Elsevier B.V. Work reported in this manuscript takes into consideration the possible use of NH 3 gas by terrorists and the potential for an effective and rapid removal of such toxic substance from air using a modified clay material. In this study, a series of clay/polymer composites were synthesised for ammonia gas (NH 3 ) adsorption. The adsorbents were prepared by polymerisation of acrylic acid with N,N'-methylenebisacrylamide (MBA) as cross-linker in the presence of a large amount of highly dispersed clay nanoparticles, followed by interaction with copper ions (Cu 2+ ). Two kinds of clays were used. One was an acid-treated bentonite that had a specific surface area (SSA) of 395 m 2 /g and the other was natural palygorskite with a SSA of 87 m 2 /g. The materials were characterised by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), nitrogen adsorption-desorption and Fourier transform infrared spectroscopy (FTIR). The materials' ability to remove NH 3 was investigated using NH 3 breakthrough dynamic test while the strength of NH 3 retention was characterised by Thermogravimetric Analysis ( TGA) coupled with FTIR. The results indicate that clay/poly-acrylic acid composites are highly efficient adsorbents of NH 3 after binding with Cu 2+ . Trapping NH 3 on such adsorbents can lead to colour change and this makes it possible to predict the lifetime of the adsorption bed visually. In addition, the result of NH 3 release from the material following adsorption showed that majority of the adsorbed NH 3 desorbed at temperature above 180°C. The clay/polymer composites can potentially be used in air filters. They may provide an effective and cheap way for removing NH 3 from contaminated air.

DOI 10.1016/j.clay.2015.12.012
Citations Scopus - 1Web of Science - 1
Co-authors Ravi Naidu
2016 Wang L, Fang C, Cheng Y, Lamb D, Chen Z, Megharaj M, Naidu R, 'A practical way to make solid-state reference electrodes', Journal of Bioanalytical Techniques, 1 1-5 (2016)
DOI 10.16966/jbt.101
Co-authors Dane Lamb, Ravi Naidu, Zuliang Chen, Megh Mallavarapu, Cheng Fang
2016 Wang L, Cheng Y, Lamb D, Chen Z, Lesniewski P, Mallavarapu M, Naidu R, 'Simultaneously determining multi-metal ions using an Ion Selective Electrode array system', Environmental Technology & Innovation, 6 165-176 (2016) [C1]
DOI 10.1016/j.eti.2016.10.001
Co-authors Ravi Naidu, Megh Mallavarapu, Dane Lamb, Zuliang Chen
2016 Lamb DT, Kader M, Ming H, Wang L, Abbasi S, Megharaj M, Naidu R, 'Predicting plant uptake of cadmium: validated with long-term contaminated soils', ECOTOXICOLOGY, 25 1563-1574 (2016) [C1]
DOI 10.1007/s10646-016-1712-0
Citations Scopus - 2Web of Science - 1
Co-authors Megh Mallavarapu, Ravi Naidu, Dane Lamb
2015 Wang L, Yang D, Lamb D, Chen Z, Lesniewsk PJ, Mallavarapu M, Naidu R, 'Application of mathematical models and genetic algorithm to simulate the response characteristics of an ion selective electrode array for system recalibration', Chemometrics and Intelligent Laboratory Systems, 144 24-30 (2015)
DOI 10.1016/j.chemolab.2015.03.007
Citations Scopus - 2Web of Science - 2
Co-authors Megh Mallavarapu, Ravi Naidu, Dane Lamb
2015 Wang L, Liu E, Cheng Y, Bekele DN, Lamb D, Chen Z, et al., 'Novel methodologies for automatically and simultaneously determining BTEX components using FTIR spectra', Talanta, 144 1104-1110 (2015) [C1]

© 2015 Elsevier B.V. This study introduced a patented novel methodological system for automatically analysis of Fourier Transform Infrared Spectrometer (FTIR) spectrum data locat... [more]

© 2015 Elsevier B.V. This study introduced a patented novel methodological system for automatically analysis of Fourier Transform Infrared Spectrometer (FTIR) spectrum data located at 'fingerprint' region (wavenumber 670-800 cm < sup > -1 < /sup > ), to simultaneously determinate multiple petroleum hydrocarbons (PHs) in real mixture samples. This system includes: an object oriented baseline correction; Band decomposition (curve fitting) method with mathematical optimization; and Artificial Neural Network (ANN) for determination, which is suitable for the characteristics of this IR regions, where the spectra are normally with low signal to noise ratio and high density of peaks. BTEX components are potentially lethal carcinogens and contained in many petroleum products. As a case study, six BTEX components were determinate automatically and simultaneously in mixture vapor samples. The robustness of the BTEX determination was validated using real petroleum samples, and the prediction results were compared with gas chromatography-mass spectrometry (GC-MS).

DOI 10.1016/j.talanta.2015.07.044
Citations Scopus - 2Web of Science - 1
Co-authors Megh Mallavarapu, Dane Lamb, Dawit Bekele, Ravi Naidu, Zuliang Chen
2015 Wang L, Yang D, Fang C, Chen Z, Lesniewski PJ, Mallavarapu M, Naidu R, 'Application of neural networks with novel independent component analysis methodologies to a Prussian blue modified glassy carbon electrode array', Talanta, 131 395-403 (2015)
DOI 10.1016/j.talanta.2014.08.010
Citations Scopus - 4Web of Science - 3
Co-authors Cheng Fang, Zuliang Chen, Megh Mallavarapu, Ravi Naidu
2014 Yang D, Wang L, Chen Z, Megharaj M, Naidu R, 'Voltammetric Determination of Lead (II) and Cadmium (II) Using a Bismuth Film Electrode Modified with Mesoporous Silica Nanoparticles', Electrochimica Acta, 132 223-229 (2014)
DOI 10.1016/j.electacta.2014.03.147
Citations Scopus - 32Web of Science - 27
Co-authors Ravi Naidu, Zuliang Chen, Megh Mallavarapu
2014 Yang D, Wang L, Chen Z, Megharaj M, Naidu R, 'Anodic stripping voltammetric determination of traces of Pb(II) and Cd(II) using a glassy carbon electrode modified with bismuth nanoparticles', Microchimica Acta, 181 1199-1206 (2014)
DOI 10.1007/s00604-014-1235-4
Citations Scopus - 13Web of Science - 13
Co-authors Zuliang Chen, Megh Mallavarapu, Ravi Naidu
2014 Wang L, Yang D, Chen Z, Lesniewski PJ, Naidu R, 'Application of neural networks with novel independent component analysis methodologies for the simultaneous determination of cadmium, copper, and lead using an ISE array', Journal of Chemometrics, 28 491-498 (2014)
DOI 10.1002/cem.2599
Citations Scopus - 5Web of Science - 4
Co-authors Ravi Naidu, Zuliang Chen
2014 Yang D, Wang L, Chen Z, Megharaj M, Naidu R, 'Determination of Trace Lead and Cadmium in Water Samples by Anodic Stripping Voltammetry with a Nafion-Ionic Liquid-Coated Bismuth Film Electrode', Electroanalysis, 26 639-647 (2014)
DOI 10.1002/elan.201300622
Citations Scopus - 8Web of Science - 7
Co-authors Zuliang Chen, Megh Mallavarapu, Ravi Naidu
2013 Yang D, Wang L, Chen Z, Megharaj M, Naidu R, 'Investigation of Copper(II) Interference on the Anodic Stripping Voltammetry of Lead(II) and Cadmium(II) at Bismuth Film Electrode', ELECTROANALYSIS, 25 2637-2644 (2013)
DOI 10.1002/elan.201300375
Citations Scopus - 19Web of Science - 19
Co-authors Ravi Naidu, Megh Mallavarapu, Zuliang Chen
Show 15 more journal articles

Conference (1 outputs)

Year Citation Altmetrics Link
2015 Wang L, Chen Z, Naidu R, 'ANALYTE ION DETECTION METHOD AND DEVICE (ProbeCARE TM )' (2015)
Co-authors Zuliang Chen, Ravi Naidu

Patent (1 outputs)

Year Citation Altmetrics Link
2012 Wang L, Naidu R, Chen Z, mallavarapu M, Analyte Ion Detection Method and Device (2012)
Co-authors Ravi Naidu, Zuliang Chen, Megh Mallavarapu
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Grants and Funding

Summary

Number of grants 2
Total funding $462,771

Click on a grant title below to expand the full details for that specific grant.


20171 grants / $307,100

Risk-based land management of weatherboard hydrocarbon contaminated sited by coupling in situ FTIR measurements with GIS models$307,100

Funding body: CRC CARE Pty Ltd

Funding body CRC CARE Pty Ltd
Project Team Doctor Liang Wang, Doctor Dane Lamb, Doctor Raja Dharmarajan, Professor Ravi Naidu, Dr Prashant Srivastava, Dr Sreenivasulu Chadalavada
Scheme Research Project
Role Lead
Funding Start 2017
Funding Finish 2019
GNo G1700898
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON Y

20161 grants / $155,671

Portable GC-MS system for onsite real-time monitoring of semi-volatiles and volatiles at contaminated sites$155,671

Funding body: CRC CARE Pty Ltd

Funding body CRC CARE Pty Ltd
Project Team

Dr Dawit Nega Bekele, Prof Ravi Naidu, Dr Liang Wang

Scheme Research Project
Role Lead
Funding Start 2016
Funding Finish 2017
GNo
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON N
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Dr Liang Wang

Position

Research Fellow
Global Centre for Environmental Remediation (GCER)
Global Centre for Environmental Remediation
Faculty of Science

Contact Details

Email liang.wang@newcastle.edu.au

Office

Room ATC
Building Advanced Technology Centre.
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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