https://novaprd-lb.newcastle.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:42674 Wed 31 Aug 2022 16:32:18 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:52052 Wed 27 Sep 2023 15:30:20 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:45061 NCPI > 1). However, 91.97% of the crop samples were uncontaminated according to the Chinese Risk Control Standard. Soils from the vegetable patch showed higher pollution level comparison with that from grain field and orchard. Health risks for both non-carcinogenic and carcinogenic risks were calculated through crop ingestion exposure pathway. Grain samples showed highest health risks, followed by melon and fruit, and vegetables. The health risks of crops were mainly driven by Cr and Cd. Crop consumption may pose risks for children but not adults. The source of trace element contamination in the different farmland soils varied and may be attributed to the different agricultural activities. Plant type had a greater influence on the trace element accumulation in crops compared with soil trace element contents and physicochemical properties.]]> Wed 26 Oct 2022 16:07:43 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:48592 Wed 22 Mar 2023 08:46:48 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:45366 Cu (∼95.01 to 90.53%) > Cd (∼92.5 to 55.25%) > Ni (∼80.85 to 50.6%), even in the presence of 0.01/0.001 M of CaCl2 and Na2SO4 as background electrolytes and charged organic molecule under an environmentally relevant concentration (200 μg/L). The maximum adsorption capacities of Ni, Cd, Cu, and Pb were calculated as 2.85 ± 0.08, 6.96 ± 0.31, 16.87 ± 1.50, and 26.49 ± 2.04 mg/g, respectively. HNT-BC@Alg has fast sorption kinetics and maximum adsorption capacity within a short contact time (∼2 h). Energy-dispersive X-ray spectroscopy (EDS) elemental mapping exhibited that adsorbed heavy metals co-distributed with Ca, Si, and Al. The reduction of surface area, pore volume, and pore area of HNT-BC@Alg (after sorption of heavy metals) confirms that mesoporous surface (2–18 nm) supports diffusion, infiltration, and interaction. However, a lower range of mesoporous diameter of the adsorbent is more suitable for the adsorption of heavy-metal ions. The adsorption isotherm and kinetics fitted well with the Langmuir isotherm and the pseudo-second-order kinetic models, demonstrating the monolayer formation of heavy-metal ions through both the physical sorption and chemical sorption, including pore filling, ion exchange, and electrostatic interaction.]]> Wed 20 Mar 2024 15:10:50 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:53573 Wed 15 May 2024 15:05:18 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:24638 Wed 11 Apr 2018 14:14:24 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:39312 Proteobacteria and Actinobacteria were identified as the two dominant phyla in the remediation of diesel contaminated soil. Metagenomics analysis revealed that the preferred metabolic pathway of nitrogen was from ammonium to glutamate via glutamine, and the enzymes governing this transformation were glutamine synthetase and glutamate synthetase; while in nitrate based amendment, the conversion from nitrite to ammonium was restrained by the low abundance of nitrite reductase enzyme and therefore retarded the TPH degradation rate. It is concluded that during the process of nitrogen enhanced bioremediation, the most efficient nitrogen cycling direction was from ammonium to glutamine, then to glutamate, and finally joined with carbon metabolism after transforming to 2-oxoglutarate.]]> Wed 10 Aug 2022 11:08:14 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:45433 Wed 07 Feb 2024 15:16:06 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:41352 Wed 07 Feb 2024 14:52:18 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46921 Wed 07 Dec 2022 10:40:48 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:29507 Wed 06 Apr 2022 13:59:57 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:49073 Wed 03 May 2023 16:07:56 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:38915 Wed 02 Mar 2022 15:01:20 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:50685 Wed 01 May 2024 15:09:13 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46674 Tue 29 Nov 2022 09:21:37 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:54243 Tue 13 Feb 2024 13:21:09 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:47046 Tue 13 Dec 2022 14:44:22 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46993 Cu > Cd > Ni, despite electrostatic binding strength of Cd > Cu > Pb > Ni and covalent binding strength of Pb > Ni > Cu > Cd. It demonstrated that not only chemosorption but also physisorption acts as the sorption mechanism. The reduction in surface area, porosity, and pore volume of the expended adsorbent, along with sorption study results, confirmed that pore filling and intra-particle diffusion played a considerable role in removing heavy metals.]]> Tue 13 Dec 2022 09:56:24 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:54785 Tue 12 Mar 2024 12:35:11 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44336 Tue 11 Oct 2022 19:21:36 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44255 p < 0.05) between the two particle size fractions of < 2 mm and < 250 μm; (2) EC, CEC and total Pb were significantly correlated to Pb bioaccessibility (p < 0.05); and (3) soil analyses based on source of Pb demonstrated a strongly significant relationship between Pb bioaccessibility and soil properties (CEC, EC, clay content and total Pb) for mining soils from Broken Hill (r² = 0.86, p < 0.05, n = 18). These results demonstrated the influences of Pb contamination sources, soil properties and particle size fractions on Pb bioaccessibility as well as the prediction of Pb bioaccessibility using soil properties. The findings documented here will help in developing a predictive tool for human health risk assessment and the remediation of Pb contaminated soils.]]> Tue 11 Oct 2022 12:44:05 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:45963 Tue 08 Nov 2022 13:30:01 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:43124 Tue 07 Nov 2023 15:33:46 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:40078 Tue 05 Jul 2022 08:28:45 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:43837 Tue 04 Oct 2022 11:46:28 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:33556 Tue 03 Sep 2019 18:31:47 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:41362 Tue 02 Aug 2022 14:31:24 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:34599 Tue 02 Apr 2019 11:41:10 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:32391 Thu 28 Oct 2021 12:36:12 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:39595 Ni2+ > Cd2+. Interestingly, in Cd2+–Cu2+ system the earlier adsorbed Cd2+ could be completely replaced by Cu2+ from the solution. Different competitive adsorption ability of those heavy metal were due to the characteristics of heavy metal and resultant affinity of the adsorption sites on E–CMBC. The adsorption mechanism indicated that chemical adsorption played a dominating role. Therefore, E–CMBC could be a potential adsorbent for wastewater treatment.]]> Thu 28 Jul 2022 15:24:26 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:45403 Thu 27 Oct 2022 17:22:16 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:45293 Thu 27 Oct 2022 14:48:17 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:45317 Thu 27 Oct 2022 13:31:11 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:47297 Thu 27 Jul 2023 11:25:51 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:24067 Thu 27 Jan 2022 15:58:21 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:30385 Thu 27 Jan 2022 15:57:14 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46492 2+, Zn²⁺, and Ni²⁺ concentrations, but also to inorganic metal complexes. In binary mixtures, the two metals in the Cu–Ni mixture showed a weakly antagonistic effect, whereas the two metals in the Zn–Ni mixture showed greater antagonism. Using data from single-metal Cu, Zn, and Ni BLMs, combined with the toxicity index and the overall amounts of metal ions bound to the biotic ligands, one simple model was developed. This model consisted of the toxic unit (TU_M, no competition included) and two extended BLMs, BLM-TU_f (f as a function of TU, including competition between Mg²⁺ and metal ions) and BLM-f_mix (including the competition between Mg²⁺ and metal ions, as well as between free metal ions). They were then used to predict the joint toxicity of Cu–Ni and Zn–Ni binary mixtures to wheat. Both of the extended BLMs could provide more accurate predictions of toxic effects of Cu–Ni and Zn–Ni than TU_M. BLM-f_mix performed best for the Zn–Ni binary mixture (r² = 0.93; root-mean-square error, RMSE = 9.87). On the other hand, for the Cu–Ni mixture, the predictive effect based on BLM-TUf (r² = 0.93; RMSE = 9.60) was similar to that of BLM-f_mix (r² = 0.93; RMSE = 9.56). The results provide a theoretical basis for the evaluation and remediation of soils contaminated with mixtures of heavy metals.]]> Thu 24 Nov 2022 12:06:43 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:47273 Thu 23 Mar 2023 13:51:52 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:49463 Thu 18 May 2023 13:01:04 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:43309 Thu 15 Sep 2022 14:01:43 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:24787 Thu 14 Apr 2022 11:03:33 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44451 Thu 13 Oct 2022 15:01:54 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:39049 Thu 05 May 2022 15:54:37 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:38567 Thu 04 Nov 2021 13:51:08 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:30449 Sat 24 Mar 2018 07:38:06 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:26360 in vitro data streams and computational toxicology are the crucial factors in the NexGen risk assessment, as well as uncertainties minimisation. Although in this review we cannot yet predict how the exposure science and modern toxicology will develop in the long-term, current techniques from emerging science can be integrated to improve decision-making.]]> Sat 24 Mar 2018 07:35:52 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:30320 rat = 0.26RB_swine + 17.3, R2 = 0.70, p < 0.001), despite the regression slope coefficient revealing that the rat model would underestimate RB by about one quarter compared to using swine. Conclusions: In the comparison employed in this study, an interspecies difference of four in RB using AUC assay was identified between the rat and swine models regarding pharmacokinetic differences, which supported the body weight scaling method recommended by US EPA. Future research should focus on the carcinogenic competency (pharmacodynamics) used in experiment animals and humans.]]> Sat 24 Mar 2018 07:31:49 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:26716 27Al Magic Angle Spinning Nuclear Magnetic Resonance (MAS NMR) spectroscopy. The XRD patterns indicated preservation of the crystalline structure of palygorskite following all the treatments. These findings were supported by the Al (IV) and Al (VI) coordination peaks (chemical shift ~ 55 and 2.9 ppm, respectively) which were unaltered in the ²⁷Al MAS NMR spectra of the samples. The acid-thermal activated palygorskite exhibited the highest specific surface area (152.7 m² g^-1) and pore volume (0.2137 cm³ g^-1) which respectively were 3-fold and 69% greater than the raw palygorskite. The potentiometric titration analyses highlighted the possible role of Al derivatives towards development of the surface charge of the activated palygorskites. Electrokinetic studies described the stability of the activated products (zeta potential values ranging from - 5 mV to - 32 mV) at different electrolyte (NaNO₃) concentrations. Combined acid-thermal activated palygorskite displayed a stronger specific adsorption of multivalent cations, and held a direct relevance to environmental remediation. Findings of this study will assist in the development of palygorskite-based adsorbents for heavy metal contaminants remediation.]]> Sat 24 Mar 2018 07:26:22 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:30028 Sat 24 Mar 2018 07:24:22 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:24816 in vivo measurement is reliable but resource insensitive, in vitro approaches promise to provide high-throughput RBA predictions. One challenge on using in vitro bioaccessibility (BAc) to predict in vivo RBA is how to minimize the heterogeneities associated with in vivo-in vitro correlations (IVIVCs) stemming from various biomarkers (kidney, blood, liver, urinary and femur), in vitro approaches and studies. In this study, 252 paired RBA-BAc data were retrieved from 9 publications, and then a Bayesian hierarchical model was implemented to address these random effects. A generic linear model (RBA (%) = (0.87 ± 0.16) × BAc + (4.70 ± 2.47)) of the IVIVCs was identified. While the differences of the IVIVCs among the in vitro approaches were significant, the differences among biomarkers were relatively small. The established IVIVCs were then applied to predict Pb RBA of which an overall Pb RBA estimation was 0.49 ± 0.25. In particular the RBA in the residential land was the highest (0.58 ± 0.19), followed by house dust (0.46 ± 0.20) and mining/smelting soils (0.45 ± 0.31). This is a new attempt to: firstly, use a meta-analysis to correlate Pb RBA and BAc; and secondly, estimate Pb RBA in relation to soil types.]]> Sat 24 Mar 2018 07:15:13 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:24311 Sat 24 Mar 2018 07:14:39 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:38347 Mon 30 Aug 2021 15:52:38 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:38993 intraparticle diffusion (R2 = 0.93) > pseudo-first-order (R2 = 0.87). Energy-dispersive X-ray spectroscopy (EDS) elemental mapping demonstrated that MB has a co-distribution with silicon, aluminium, and alginate carbon phase but is limited with iron and nickel, indicating HNTs and alginate polymer performed as sorption sites, whereas NiZnFe4O4 performed as a catalyst. The presence (post-sorption) and absence (pre-sorption) of inorganic, total carbon or total organic carbon content at different solution pH, contact time, and initial concentration of MB demonstrated that the adsorbent act as a catalyst as well for degradation of MB. NiZnFe4O4-HNT@alg triggers efficient removal of MB with the assist of adsorption and catalytic degradation at broad solution pH. A comparison in removal of MB by various adsorbents including, biochars, clays, activated carbon, nanoparticles, polymers, nano composites, graphene oxides, carbon nanotubes, and polymer beads with the result of this study were performed, illustrating competitive sorption capacity of NiZnFe4O4-HNT@alg.]]> Mon 29 Jan 2024 18:52:42 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:45348 Mon 29 Jan 2024 18:32:06 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:38651 Mon 29 Jan 2024 17:49:32 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:43631 Mon 26 Sep 2022 16:22:55 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44820 Mon 24 Oct 2022 09:38:27 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:52519 Mon 16 Oct 2023 10:38:38 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:50233 Mon 10 Jul 2023 14:23:06 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:33876 Fri 30 Aug 2019 13:07:57 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:38320 −1) and dissolved organic matter(0–20 mg L⁻¹). The string rate of more than 100 rpm indicated the DGT will not likely be affected by flow rate in the aquatic environment. The study successfully indicates the DGT’s performance on diuron, providing a promising technique for future investigation of distribution and occurrence in the natural environment.]]> Fri 27 Aug 2021 12:02:40 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:53860 Fri 19 Jan 2024 12:31:46 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:42230 Fri 19 Aug 2022 11:35:34 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:53106 Fri 17 Nov 2023 11:54:55 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:32987 m) and maximum reaction velocity (V_max) values of soil ACP ranged from 1.18 to 3.77 mM and 0.025–0.133 mM h⁻¹ in uncontaminated soils. The kinetic parameters of soil ACP in different soils changed differently with As contamination. The K_m remained unchanged and V_max decreased with increase of As concentration in most acid and neutral soils, indicating a noncompetitive inhibition mechanism. However, in alkaline soils, the K_m increased linearly and V_max decreased with increase of As concentration, indicating a mixed inhibition mechanism that include competitive and noncompetitive. The competitive inhibition constant (K_ic) and noncompetitive inhibition constant (K_iu) varied among soils and ranged from 0.38 to 3.65 mM and 0.84–7.43 mM respectively. The inhibitory effect of As on soil ACP was mostly affected by soil organic matter and cation exchange capacity. Those factors influenced the combination of As with enzyme, which resulted in a difference of As toxicity to soil ACP. Catalytic efficiency (V_max/K_m) of soil ACP was a sensitive kinetic parameter to assess the ecological risks of soil As contamination.]]> Fri 17 Aug 2018 15:43:55 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46117 10,000 mg/kg. The comparison of Pb minerals prior to and after in vitro extractions demonstrated that the relatively soluble forms of Pb (PbSO4, PbO2 and MgO Pb) start to dissolve than other forms of Pb minerals, suggesting there was no difference in Pb2+ release between chemical-based (RBALP) and physiologically-based (UBM) models. The identification of the Pb minerals of Pb5(PO4)3Cl and organically-complexed Pb in mice excreta demonstrated that a portion of Pb2+ combined with food and humic acid to generate organically-complexed Pb in mice excreta, and that Pb5(PO4)3Cl is not bioavailable.]]> Fri 11 Nov 2022 14:46:52 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:38433 3O₄), ferrihydrites, and desilicated minerals are identified in the RMSDN600 using XRD (X-ray diffraction) and XANES (X-ray absorption near-edge structure). Sorption isotherm for RMSD600 and SDN600 showed close-fitting with Langmuir and Freundlich model demonstrated monolayer and multilayer sorption of PFOS over the active sites of the adsorbents. The potential formation of micelles and hemi-micelles can occur in interparticle porous biochars as the concentration of PFOS exceeds critical hemi-micelle concentration (4.57-45.7 mg/L). The kinetic study followed Pseudo-second-order model for both adsorbents, demonstrated both physisorption and chemisorption of PFOS. The results revealed the adsorption of PFOS was governed by both hydrophobic and electrostatic interaction, with hydrophobic interaction as the dominant sorption mechanism. The higher adsorption capacity for RMSDN600 (194.6 mg/g) was recorded than that for SDN600 (178.6 mg/g) at pH 3.1 due to the abundance of protonated metal-based functional groups, and more ordered graphitic carbon structure resulting from catalytic degradation and transformation of cellulose and hemicellulose. Aromatic structure can potentially enhance PFOS sorption by non-ionic interaction. In contrast, metal-based and other oxygen-containing functional groups of adsorbents enhance adsorption capacity through electrostatic interaction and ion exchange reactions. Lower solution pH and smaller particle size of the adsorbents could also enhance sorption of PFOS from aqueous phase.]]> Fri 10 Sep 2021 15:11:32 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:55283 Fri 10 May 2024 16:22:27 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:41550 10 nm) could be effective for the postsynthesis loading of active molecules onto HSNs using a simple immersion method. We synthesized HSNs with a single large through hole or pore opening on shells (15.95 nm) in an earlier study, which was subsequently termed bowl-structured hollow porous silica nanospheres (BHSNs). In this study, the postsynthesis loading of a model pesticide, namely imidacloprid, onto BHSNs was evaluated via the simple immersion method. It was observed that the presence of a single large pore-opening on the shells of BHSNs facilitated loading of imidacloprid to the inner core or void space of BHSNs. Thermogravimetric analysis (TGA) showed that around 16% imidacloprid molecules were loaded to the BHSNs when acetone was used as a dispersing medium. It was evidenced by differences between weight losses patterns of imidacloprid loaded to BHSNs (imi@BHSNs) from pure imidacloprid. Both adsorption and entrapment mechanisms were effective during loading. FTIR analysis showed that pesticide molecules were adsorbed on BHSNs via hydrogen bonding interaction. The controlled releasing profile of imidacloprid from BHSNs was observed in distilled water at room temperature, except an initial burst release of a small amount (<5%). The controlled release composed of a faster sustained release followed by a slower conditional release due to the deposited and adsorbed imidacloprid. The non-Fickian case II transport mechanism prevailed during transportation of imidacloprid to the release media from BHSNs. We anticipate that this study could provide an important avenue for advancing practical applications of BHSNs in pesticide delivery systems.]]> Fri 05 Aug 2022 14:23:34 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:39332 Fri 03 Jun 2022 16:59:24 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:47883 Fri 03 Feb 2023 16:00:04 AEDT ]]>