Metals content of recycled construction and demolition wood before and after implementation of best management practices

Robey, Nicole M.; Solo‐Gabriele, Helena M.; Jones, Athena S.; Marini, Juniper; Townsend, Timothy G.

doi:10.1016/j.envpol.2018.07.134

Cited by 24 publications

(7 citation statements)

References 28 publications

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“…Thus, numerous unregulated industries have sprung up in Ugandan wood industry, leaving several environmental footprints [3][4][5]. Because of its susceptibility to attack by insects, wood is often preserved using chemicals [6,7]. Wood preservation have been classified broadly as oil borne or waterborne, contingent on the nature of the chemicals employed in the treatment formulation [7].…”

Section: Introductionmentioning

confidence: 99%

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Mobility of Chromium, Copper and Arsenic in Amended Chromated Copper Arsenate Contaminated Soils

Nakiguli

Ojok

Omara

et al. 2020

AJACR

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Aim: The use of copper-based preservatives such as chromated copper arsenate (CCA) and creosote to prolong the life of lumber present environmental concerns because they contain heavy metals and polycyclic aromatic hydrocarbons which are toxic to humans. The aim of this study was to investigate the effects of sewage sludge biosolid amendment on the distribution and mobility of chromium, copper and arsenic in chromated copper arsenate contaminated soils subjected to phytoremediation using maize (Zea mays L.). Place and Duration of the Study: Random composite soil samples from Kitetika wood factory, Wakiso, Uganda and sewage sludge biosolid from National Water and Sewerage Corporation plant in Bugolobi, Kampala, Uganda were collected and prepared. Maize grains were obtained from FICA Seeds Limited (Uganda). The pot experiments and analysis of samples were done at Mbarara University of Science and Technology (Mbarara) and Directorate of Government Analytical Laboratory, Kampala (Uganda), respectively. Methodology: The fresh CCA contaminated soils and sewage sludge biosolid were analyzed for physicochemical parameters and heavy metals (chromium, copper and arsenic). Sewage sludge biosolid was added to 1 kg of the contaminated soils at 5-25% (w/w) in 2 L plastic containers, watered and maintained at 25 ℃ for 14 days to stabilize. Controls were set up with unamended soils. Thereafter, maize was planted in the potted soils for 40 days. The concentrations of the trace metals in the soils were determined after 20 and 40 days of maize growth by atomic absorption spectroscopy. Results: The concentrations of chromium, copper and arsenic in fresh CCA contaminated soils were 365.8 ± 6.18 mg/kg, 109.72 ± 14.04 mg/kg and 28.22 ± 3.8 mg/kg, respectively. Basing on mobility factor, bioavailability of the trace metals followed the chemical sequence copper (8.9%) < chromium (17.1%) < arsenic (30.2%). Conclusion: The maize variety experimented could be used to phytoextract or phytostabilize the trace metals in the CCA contaminated soils without or with 5-25% amendment. Amendment with sewage sludge biosolid improved the phytoremediation potential of maize. Arsenic was the most mobile and bioavailable metal in CCA contaminated soils. Further studies should use other local maize varieties such as Longe series.

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Section: Introductionmentioning

confidence: 99%

“…Oil borne preservatives include creosote and pentachlorophenol, which are used to treat wood for specific industrial uses. On the other hand, waterborne preservatives such as chromated copper arsenate (CCA) are the most common, and are used for preservation of lumber products used in commercial and residential applications [6].…”

Section: Introductionmentioning

confidence: 99%

Mobility of Chromium, Copper and Arsenic in Amended Chromated Copper Arsenate Contaminated Soils

Nakiguli

Ojok

Omara

et al. 2020

AJACR

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“…The handheld LIBS employed here ablates the sample and collects atomic emission spectra in a sequence of rapid laser pulses. A typical measurement would entail a small number of "cleaning shots" to remove a contaminated surface (e.g., 2) followed by a series of "data shots" that return optical emission spectra (e.g., [4][5][6][7][8][9][10][11][12]. Such a scheme is often repeated over one to 12 locations, separated by 24 μm, in a serpentine pattern.…”

Section: Analyses In Contextmentioning

confidence: 99%

Evaluation of spectral collection strategies for identification of Dalbergia spp. using handheld laser‐induced breakdown spectroscopy

Celani

McCormick

Speed

et al. 2023

Journal of Chemometrics

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The illegal timber trade has significant impact on the survival of endangered tropical hardwood species like Dalbergia spp. (rosewood), a world‐wide protected genus from the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Due to increased threat to Dalbergia spp., and lack of action to reduce threats, port of entry analysis methods are required to identify Dalbergia spp. Handheld laser‐induced breakdown spectroscopy (LIBS) has been shown to be capable of identifying species and establishing provenance of Dalbergia spp. and other tropical hardwoods, but analysis methods for this work have yet to be investigated in detail. The present work investigates five well‐known algorithms—partial least squares discriminant analysis (PLS‐DA), classification and regression trees (CART), k‐nearest neighbor (k‐NN), random forest (RF), and support vector machine (SVM)—two training/test set sampling regimes, and data collection at two signal‐to‐noise (S/N) ratios to assess the potential for handheld LIBS analyses. Additionally, imbalanced classes are addressed. For this application, SVM and RF yield near identical results (though RF takes nearly 100 longer to compute), while the S/N ratio has a significant effect on model success assuming all else is equal. It was found that forming a training set with replicate low S/N analyses can perform as well as higher precision training sets for true prediction, even if the predicted samples have low signal to noise! This work confirms handheld LIBS analyzers can provide a viable method for classification of hardwood species, even within the same genus.

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“…Arsenic's extreme toxicity at low doses is a massive attraction. Because of its high toxicity and widespread distribution, the Registry of Toxic Substances and Diseases has placed arsenic at the top of its 2015 priority list of hazardous compounds [8,9]. Primary exposure occurs when one drinks contaminated water; secondary exposure happens when one irrigates plants with water containing arsenic or when one comes into direct contact with polluted soils.…”

Section: Introductionmentioning

confidence: 99%

Optimization of As(V) Removal by Dried Bacterial Biomass: Nonlinear and Linear Regression Analysis for Isotherm and Kinetic Modelling

Altowayti

Salem

Al-Fakih

et al. 2022

Metals

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Arsenic occurrence and toxicity records in various industrial effluents have prompted researchers to find cost-effective, quick, and efficient methods for removing arsenic from the environment. Adsorption of As(V) onto dried bacterial biomass is proposed in the current work, which continues a line of previous research. Dried bacterial biomass of WS3 (DBB) has been examined for its potential to remove As(V) ions from aqueous solutions under various conditions. Under optimal conditions, an initial concentration of 7.5 ppm, pH 7, adsorbent dose of 0.5 mg, and contact period of 8 h at 37 °C results in maximum removal of 94%. Similarly, amine, amide, and hydroxyl groups were shown to contribute to As(V) removal by Fourier transform infrared spectroscopy (FTIR), and the adsorption of As(V) in the cell wall of DBB was verified by FESEM-EDX. In addition, equilibrium adsorption findings were analyzed using nonlinear and linear isotherms and kinetics models. The predicted best-fit model was selected by calculating the coefficient of determination (R2). Adsorption parameters representative of the adsorption of As(V) ions onto DBB at R2 values were found to be more easily attained using the nonlinear Langmuir isotherm model (0.95). Moreover, it was discovered that the nonlinear pseudo-second-order rate model using a nonlinear regression technique better predicted experimental data with R2 than the linear model (0.98). The current study verified the nonlinear approach as a suitable way to forecast the optimal adsorption isotherm and kinetic data.

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Metals content of recycled construction and demolition wood before and after implementation of best management practices

Cited by 24 publications

References 28 publications

Mobility of Chromium, Copper and Arsenic in Amended Chromated Copper Arsenate Contaminated Soils

Mobility of Chromium, Copper and Arsenic in Amended Chromated Copper Arsenate Contaminated Soils

Evaluation of spectral collection strategies for identification of Dalbergia spp. using handheld laser‐induced breakdown spectroscopy

Optimization of As(V) Removal by Dried Bacterial Biomass: Nonlinear and Linear Regression Analysis for Isotherm and Kinetic Modelling

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