| 2025 | Nodi SS, Paul M, Robinson N, Wang L, Rehman SU, Kabir MA, 'Munsell Soil Colour Prediction from the Soil and Soil Colour Book Using Patching Method and Deep Learning Techniques', Sensors, 25 (2025) [C1] 
          Soil colour is a key indicator of soil health and the associated properties. In agriculture, soil colour provides farmers and advises with a visual guide to interpret s... [more]
          Soil colour is a key indicator of soil health and the associated properties. In agriculture, soil colour provides farmers and advises with a visual guide to interpret soil functions and performance. Munsell colour charts have been used to determine soil colour for many years, but the process is fallible, as it depends on the user's perception. As smartphones are widely used and come with high-quality cameras, a popular one was used for capturing images for this study. This study aims to predict Munsell soil colour (MSC) from the Munsell soil colour book (MSCB) by using deep learning techniques on mobile-captured images. MSCB contains 14 pages and 443 colour chips. So, the number of classes for chip-by-chip prediction is very high, and the captured images are inadequate to train and validate using deep learning methods; thus, a patch-based mechanism was proposed to enrich the dataset. So, the course of action is to find the prediction accuracy of MSC for both page level and chip level by evaluating multiple deep learning methods combined with a patch-based mechanism. The analysis also provides knowledge about the best deep learning technique for MSC prediction. Without patching, the accuracy for chip-level prediction is below (Formula presented.), the page-level prediction is below (Formula presented.), and the accuracy with patching is around (Formula presented.) for both, which is significant. Lastly, this study provides insights into the application of the proposed techniques and analysis within real-world soil and provides results with higher accuracy with a limited number of soil samples, indicating the proposed method's potential scalability and effectiveness with larger datasets.
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| 2025 | Hassan M, Naidu R, Qi F, Wang B, Wang L, Asadi S, Deb AK, Du J, Liu Y, 'Comparative immobilization of 30 PFAS mixtures onto biochar, clay, nanoparticle, and polymer derived engineered adsorbents: Machine learning insights into carbon chain length and removal mechanism', Journal of Hazardous Materials, 490 (2025) [C1] 
          Per- and polyfluoroalkyl substances (PFAS) are a group of fluorinated chemicals that cause potential risk in PFAS-impacted soil and water. The adsorption efficiency of ... [more]
          Per- and polyfluoroalkyl substances (PFAS) are a group of fluorinated chemicals that cause potential risk in PFAS-impacted soil and water. The adsorption efficiency of 30 PFAS mixtures using different adsorbents in environmentally relevant concentrations was investigated. Different meso/microporous designed adsorbents (n = 7) were used for PFAS adsorption and their interfacial interactions. The adsorbents were tested for their ability to remove PFAS mixtures, including perfluoroalkyl sulfonic acids (PFSAs, n = 7, C4-C10), perfluoroalkyl carboxylic acids (PFCAs, n = 11, C4-C14), fluorotelomer sulfonic acids (FTSs, n = 4), perfluoroalkane sulfonamido acetic acids (FASAAs, n = 3, C8), perfluoroalkane sulfonamides (FASAs, n = 3, C8) and perfluoroalkane sulfonamidoethanols (FASEs, n = 2, C8). The overall removal rate of 30 PFAS was recorded as 86.20¿89.29 %, 87.63¿90.33 %, and 67.07¿93.61 % for microporous biochar/modified biochar, halloysite nanoclays, and mesoporous polymer composites-based adsorbents, respectively. The presence of sugarcane bagasse-derived biochar, iron nanoparticles, and ß-cyclodextrin in the composite adsorbents enhances the sorption of PFAS. Higher adsorption efficiency was observed for long-chain PFCAs, PFSAs, FTSs, FASAAs, FASAs, and FASEs, whereas, complete removal of short-chain PFCAs, PFSAs, and FTSs is still challenging by using all the studied adsorbents. The carbon chain length and head groups of PFAS play a vital role in removing PFAS. The correlation coefficient (R2) values between removal rate and carbon chain length, for PFCAs (n = 11), and PFSAs (n = 7) were found as 0.73, and 0.31 respectively. Appropriate machine learning tools including efficient linear least squares, Gaussian process regression, and stepwise linear regression, were applied to fit experimental data and assess model accuracy.
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| 2025 | Wang L, Lamb D, Dong Z, Sanderson P, Du J, Naidu R, 'Integrating portable X-ray fluorescence site survey and ArcGIS models for rapid risk assessment and mitigation strategies at an abandoned arsenic mine site: a case study', ENVIRONMENTAL TECHNOLOGY, 46, 266-278 (2025) [C1] |   |  | 
| 2024 | Zheng Z, Zhan L, Wang L, Deng Y, Lin Y, Luo F, Weng Z, Lin C, Qiu B, Lin Z, 'Aluminium-copper-mesoporous silica molecular sieve-enabled dual-signal point-of-care aptasensor with integrated temperature and multicolor readout', SENSORS AND ACTUATORS B-CHEMICAL, 418 (2024) [C1] |   |  | 
| 2024 | Wang L, Cheng Y, Parekh G, Naidu R, 'Real-time monitoring and predictive analysis of VOC flux variations in soil vapor: Integrating PID sensing with machine learning for enhanced vapor intrusion forecasts', SCIENCE OF THE TOTAL ENVIRONMENT, 924 (2024) [C1] 
          In the rapidly evolving domain of vapor intrusion (VI) assessments, traditional methodologies encompass detailed groundwater and soil vapor sampling coupled with compre... [more]
          In the rapidly evolving domain of vapor intrusion (VI) assessments, traditional methodologies encompass detailed groundwater and soil vapor sampling coupled with comprehensive laboratory measurements. These models, blending empirical data, theoretical equations, and site-specific parameters, evaluate VI risks by considering a spectrum of influential factors, from volatile organic compounds (VOC) concentrations in groundwater to nuanced soil attributes. However, the challenge of variability, influenced by dynamic ambient conditions and intricate soil properties, remains. Our study presents an advanced on-site gas sensing station geared towards real-time VOC flux monitoring, enriched with an array of ambient sensors, and spearheaded by the reliable PID sensor for VOC detection. Integrating this dynamic system with machine learning, we developed predictive models, notably the random forest regression, which boasts an R-squared value exceeding 79 % and mean relative error near 0.25, affirming its capability to predict trichloroethylene (TCE) concentrations in soil vapor accurately. By synergizing real-time monitoring and predictive insights, our methodology refines VI risk assessments, equipping communities with proactive, informed decision-making tools and bolstering environmental safety. Implementing these predictive models can simplify monitoring for residents, reducing dependence on specialized systems. Once proven effective, there's potential to repurpose monitoring stations to other VI-prone regions, expanding their reach and benefit. The developed model can leverage weather forecasting data to predict and provide alerts for future VOC events.
         |   | Open Research Newcastle | 
| 2024 | Wang L, Cheng Y, Meftaul IM, Luo F, Kabir MA, Doyle R, Lin Z, Naidu R, 'Advancing Soil Health: Challenges and Opportunities in Integrating Digital Imaging, Spectroscopy, and Machine Learning for Bioindicator Analysis', ANALYTICAL CHEMISTRY, 96, 8109-8123 (2024) [C1] |   | Open Research Newcastle | 
| 2024 | Wang L, Gopalan S, Naidu R, 'Advancements in nanotechnological approaches to volatile organic compound detection and separation', CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH, 37 (2024) |   | Open Research Newcastle | 
| 2023 | Wang L, Cheng Y, Wu C, Luo F, Lin Z, Naidu R, 'Rapid on-site detection of underground petroleum pipeline leaks and risk assessment using portable gas chromatography-mass spectrometry and solid phase microextraction', JOURNAL OF CHROMATOGRAPHY A, 1696 (2023) [C1] |   | Open Research Newcastle | 
| 2023 | Wang L, Cheng Y, Gopalan S, Luo F, Amreen K, Singh RK, Goel S, Lin Z, Naidu R, 'Review and Perspective: Gas Separation and Discrimination Technologies for Current Gas Sensors in Environmental Applications', ACS SENSORS, 8, 1373-1390 (2023) [C1] |   | Open Research Newcastle | 
| 2023 | Nodi SS, Paul M, Robinson N, Wang L, Rehman SU, 'Determination of Munsell Soil Colour Using Smartphones', SENSORS, 23 (2023) [C1] |   | Open Research Newcastle | 
| 2022 | Saianand G, Gopalan A-I, Wanga L, Venkatramanan K, Roy VAL, Sonar P, Lee D-E, Naidu R, 'Conducting polymer based visible light photocatalytic composites for pollutant removal: Progress and prospects', ENVIRONMENTAL TECHNOLOGY & INNOVATION, 28 (2022) [C1] |   | Open Research Newcastle | 
| 2021 | Wang L, Cheng Y, Naidu R, Chadalavada S, Bekele D, Gell P, Donaghey M, Bowman M, 'Application of portable gas chromatography-mass spectrometer for rapid field based determination of TCE in soil vapour and groundwater', ENVIRONMENTAL TECHNOLOGY & INNOVATION, 21 (2021) [C1] 
          The application of portable chromatography¿mass spectrometer (GC¿MS) is restrained by its detection limits without the development of proper sample pre-concentration me... [more]
          The application of portable chromatography¿mass spectrometer (GC¿MS) is restrained by its detection limits without the development of proper sample pre-concentration methods. The primary focus of this paper is to introduce a practical field measurement methodology for the analysis of volatile organic compounds (VOCs) in soil vapour and groundwater using a portable gas (GC¿MS)system for application to in situ assessment of vapour intrusion from VOC contamination. A solid-phase micro-extraction (SPME) technique was applied for sample pre-concentration before the GC¿MS¿ measurement. Practical in-field soil gas SPME sampling methods have been developed to optimise the SPME extraction efficiency to then ultimately improve the detection limits of portable GC¿MS. An Australian site impacted by a chlorinated VOC, trichloroethylene (TCE), was the subject of the case study. To rapidly assess soil vapour samples in subsurface soil, in-house-developed retractable soil vapour sampling probes (SVSPs) were installed at the site in clusters at depths of 1 m, 2 m and 3 m below ground level at each sampling location. Use of the SVSPs for sampling enabled the generation of a three-dimensional map and distribution contours for TCE concentrations using the in situ measurement results of a portable GC¿MS analysis for vapour intrusion investigation. The results of the portable GC¿MS¿ analysis were compared with the results from conventional USEPA methods, such as TO-15 and Method 8265 for soil vapour and groundwater samples, respectively. This work demonstrates that the developed methodology of using a portable GC¿MS system has the capability for in-field quantitative analysis of VOCs for rapid contaminated site vapour intrusion assessment.
         |   | Open Research Newcastle | 
| 2021 | Hoang SA, Lamb D, Seshadri B, Sarkar B, Cheng Y, Wang L, Bolan NS, 'Petroleum hydrocarbon rhizoremediation and soil microbial activity improvement via cluster root formation by wild proteaceae plant species', CHEMOSPHERE, 275 (2021) [C1] 
          Rhizoremediation potential of different wild plant species for total (aliphatic) petroleum hydrocarbon (TPH)-contaminated soils was investigated. Three-week-old seedlin... [more]
          Rhizoremediation potential of different wild plant species for total (aliphatic) petroleum hydrocarbon (TPH)-contaminated soils was investigated. Three-week-old seedlings of Acacia inaequilatera, Acacia pyrifolia, Acacia stellaticeps, Banksia seminuda, Chloris truncata, Hakea prostrata, Hardenbergia violacea, and Triodia wiseana were transplanted in a soil contaminated with diesel and engine oil as TPH at pollution levels of 4,370 (TPH1) and 7,500 (TPH2) mg kg-1, and an uncontaminated control (TPH0). After 150 days, the presence of TPH negatively affected the plant growth, but the growth inhibition effect varied between the plant species. Plant growth and associated root biomass influenced the activity of rhizo-microbiome. The presence of B. seminuda, C. truncata, and H. prostrata significantly increased the TPH removal rate (up to 30% compared to the unplanted treatment) due to the stimulation of rhizosphere microorganisms. No significant difference was observed between TPH1 and TPH2 regarding the plant tolerance and rhizoremediation potentials of the three plant species. The presence of TPH stimulated cluster root formation in B. seminuda and H. prostrata which was associated with enhanced TPH remediation of these two members of Proteaceae family. These results indicated that B. seminuda, C. truncata, and H. prostrata wild plant species could be suitable candidates for the rhizoremediation of TPH-contaminated soil.
         |   | Open Research Newcastle | 
| 2021 | Wang L, Cheng Y, Naidu R, Gell P, Bowman M, 'Rapid In-Field Approaches for Delineating VOC in Both Soil Vapour and Groundwater for Vapour Intrusion Assessment', FRONTIERS IN ENVIRONMENTAL SCIENCE, 9 (2021) [C1] 
          Traditional contaminated site characterisation approaches are time-consuming, labour-intensive, and demand a high level of expertise. This case study provides a rapid f... [more]
          Traditional contaminated site characterisation approaches are time-consuming, labour-intensive, and demand a high level of expertise. This case study provides a rapid field-based solution to investigating a VOC contaminated site and its vapour incursion by combining soil vapour and groundwater survey. To fully assess the volatile organic compound (VOC) distribution in a contaminated site, a number of self-developed soil vapour sampling probes (SVSPs) were placed vertically at different locations in a grid with different depths. Hence, 3D subsurface contour maps for VOC concentrations in soil vapour can be obtained and used to help identify hot spots and the migration patterns of VOCs. This SVSP is "easy-to-install" in the field and a cost-effective solution for rapid assessment of soil vapour samples. The SVSPs can be installed both vertically and horizontally. If there is a requirement to take soil vapour samples beneath an existing building from a potential contamination source zone, SVSPs can be horizontally installed beneath the building without compromising its structural integrity. In addition, to ascertain the correct groundwater channels that are likely to carry contaminants from a potential source zone, an electrical resistivity tomography technique was employed to provide the preliminary information for groundwater delineation in a complex groundwater channel network.
         |   | Open Research Newcastle | 
| 2021 | Wang L, Cheng Y, Naidu R, Bowman M, 'The Key Factors for the Fate and Transport of Petroleum Hydrocarbons in Soil With Related in/ex Situ Measurement Methods: An Overview', Frontiers in Environmental Science, 9 (2021) [C1] 
          Once petroleum hydrocarbons (PHs) are released into the soil, the interaction between PHs and soil media is dependent not only upon the soil properties but also on the ... [more]
          Once petroleum hydrocarbons (PHs) are released into the soil, the interaction between PHs and soil media is dependent not only upon the soil properties but also on the characteristics of PHs. In this study, the key factors influencing the interactions between PHs and soil media are discussed. The key factors include: 1) the characteristics of PHs, such as volatility and viscosity; and 2) soil properties, such as porosity, hydraulic properties and water status, and organic matter; and 3) atmospheric circumstances, such as humidity and temperature. These key factors can be measured either ex-situ using conventional laboratory methods, or in situ using portable or handheld instruments. This study overviews the current ex/in situ techniques for measuring the listed key factors for PH contaminated site assessments. It is a tendency to apply in situ methods for PH contaminated site characterisation. Furthermore, handheld/portable Fourier transform infrared spectroscopy (FTIR) instrument provides tremendous opportunities for in-field PH contaminated site assessment. This study also reviewed the non-destructive FTIR spectroscopy analysis coupling with handheld FTIR for in-field PH contaminated site characterisation, including determining the concentration of total PH, dominant PH fractions and soil key properties for PH transport modelling.
         |   | Open Research Newcastle | 
| 2021 | Huang Y, Luo F, Wang J, Wang L, Qiu B, Lin C, Lin Z, 'Electrochemiluminescence Aptasensor for Charged Targets through the Direct Regulation of Charge Density in Microchannels', ANALYTICAL CHEMISTRY, 93, 17127-17133 (2021) [C1] |   | Open Research Newcastle | 
| 2021 | Lamb D, Choppala G, Yeasmin M, Abbasi S, Wang L, Naidu R, Reichman S, McGrath S, 'Are root elongation assays suitable for establishing metallic anion  ecotoxicity thresholds?', Journal of Hazardous Materials Letters, 2 (2021) [C1] |   | Open Research Newcastle | 
| 2021 | Lamb D, Choppala G, Yeasmin M, Abbasi S, Wang L, Naidu R, et al.,  'Are root elongation assays suitable for establishing metallic anion  ecotoxicity thresholds?', Journal of Hazardous Materials Letters, 2 100024-100024 (2021) |   |  | 
| 2020 | Wang L, Cheng Y, Lamb D, Naidu R, 'The application of rapid handheld FTIR petroleum hydrocarbon-contaminant measurement with transport models for site assessment: A case study', Geoderma, 361 (2020) [C1] |   | Open Research Newcastle | 
| 2019 | Wang L, Cheng Y, Lamb D, Megharaj M, Naidu R, 'Application of Ion Selective Electrode array to simultaneously determinate multi-free ions in solution', Environmental Technology and Innovation, 15 (2019) [C1] |   | Open Research Newcastle | 
| 2019 | Wang L, Cheng Y, Lamb D, Dharmarajan R, Chadalavada S, Naidu R, 'Application of infrared spectrum for rapid classification of dominant petroleum hydrocarbon fractions for contaminated site assessment', Spectrochimica Acta Part A-Molecular And Biomolecular Spectroscopy, 207, 183-188 (2019) [C1] |   | Open Research Newcastle | 
| 2018 | Kader M, Lamb DT, Wang L, Megharaj M, Naidu R, 'Copper interactions on arsenic bioavailability and phytotoxicity in soil', Ecotoxicology and Environmental Safety, 148, 738-746 (2018) [C1] |   | Open Research Newcastle | 
| 2018 | Fang C, Zhang X, Dong Z, Wang L, Megharaj M, Naidu R, 'Smartphone app-based/portable sensor for the detection of fluoro-surfactant PFOA.', Chemosphere, 191, 381-388 (2018) [C1] |   | Open Research Newcastle | 
| 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] |   | Open Research Newcastle | 
| 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] |   | Open Research Newcastle | 
| 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] |   | Open Research Newcastle | 
| 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] 
          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 under... [more]
          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 R2 = 0.84, p < 0.01) in the presence of Zn in the whole dataset, whereas Zn and Zn2+ 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.
         |   | Open Research Newcastle | 
| 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] |   | Open Research Newcastle | 
| 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] |   | Open Research Newcastle | 
| 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, 154-161 (2016) [C1] 
          Work reported in this manuscript takes into consideration the possible use of NH3 gas by terrorists and the potential for an effective and rapid removal of such toxic s... [more]
          Work reported in this manuscript takes into consideration the possible use of NH3 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 (NH3) 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 (Cu2+). Two kinds of clays were used. One was an acid-treated bentonite that had a specific surface area (SSA) of 395 m2/g and the other was natural palygorskite with a SSA of 87 m2/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 NH3 was investigated using NH3 breakthrough dynamic test while the strength of NH3 retention was characterised by Thermogravimetric Analysis (TGA) coupled with FTIR. The results indicate that clay/poly-acrylic acid composites are highly efficient adsorbents of NH3 after binding with Cu2+. Trapping NH3 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 NH3 release from the material following adsorption showed that majority of the adsorbed NH3 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 NH3 from contaminated air.
         |   | Open Research Newcastle | 
| 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] |   | Open Research Newcastle | 
| 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] |   | Open Research Newcastle | 
| 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) [C1] |   |  | 
| 2015 | Wang L, Liu E, Cheng Y, Bekele DN, Lamb D, Chen Z, Megharaj M, Naidu R, 'Novel methodologies for automatically and simultaneously determining BTEX components using FTIR spectra', TALANTA, 144, 1104-1110 (2015) [C1] 
          This study introduced a patented novel methodological system for automatically analysis of Fourier Transform Infrared Spectrometer (FTIR) spectrum data located at &apos... [more]
          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-1), 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).
         |   | Open Research Newcastle | 
| 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) [C1] |   |  | 
| 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) [C1] |   |  | 
| 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) [C1] |   |  | 
| 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) [C1] |   |  | 
| 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) [C1] |   |  | 
| 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) [C1] |   |  |