A fast methodology for generating skeletal FEM with detailed human geometric features based on CPD and RBF algorithms.

Due to the significant effects of the human anatomical characteristics on the injury mechanism of passenger in traffic accidents, it is necessary to develop human body FEM (Finite Element Model) with detailed anatomical characteristics. However, traditional development of a human body FEM is an extremely complicated process. In particular, the meshing of human body is a huge and time-consuming project. In this paper, a new fast methodology based on CPD (Coherent Point Drift) and RBF (Radial Basis Function) was proposed to achieve the rapid developing the FEM of human bone with detailed anatomical characteristics. In this methodology, the mesh morphing technology based the RBF was used to generate FEM mesh in the geometry extracted from the target CT (Computed Tomography) data. In order to further improve the accuracy and speed of mesh morphing, the target geometric feature points required in the mesh morphing process were realized via the rapid and automatic generation based on the point-cloud registration technology of the CPD algorithm. Finally, this new methodology was used to generate a 3-year-old ribcage FEM consisting of a total of 27,728 elements with mesh size 3-5 mm based on the THUMS (Total Human Model for Safety) adult model. In the entire process of generating this new ribcage model, it only took about 2.7 s. The average error between the new FEM and target geometries was only about 2.7 mm. This indicated that the new FEM well described the detailed anatomical characteristics of target geometry, thus importantly revealing that the mesh quality of the new FEM was basically similar to that of source FEM.

Potentially toxic elements in weathered waste-rocks of Fushun western opencast mine: distribution, source identification, and contamination assessment.

To understand the current status of the contamination of potentially toxic elements (PTEs) after closing the Fushun Western Opencast Mine, this study has focused on the concentration, contamination assessment, and source identification of eight PTEs in weathered waste-rocks in four distinct areas of the mine. The mean concentrations of Ni, Cr, Zn, Cu, Pb, Hg, Cd, and As were 79.4, 86.3, 126, 64.8, 16.9, 1.04, 1.94, and 6.27 mg kg-1, respectively. The results demonstrated that Ni, Cr, Zn, Cu, Pb, Hg, Cd, and As were contaminated to different extents in different weathered waste-rocks and waste-rocks, among which there was considerable Cd contamination. Coal gangue area (CGA) exhibited the most polluted weathered waste-rocks, which can be attributed to severe pollution and moderate ecological hazards. Self-combustion gangue (SCG) contamination of waste-rocks was considerably serious and caused severe pollution and considerable ecological harm. Health risk assessments demonstrated that Hg had the highest non-carcinogenic risk. Ingestion of PTEs was found to be a primary route of exposure, while dermal and inhalation exposure was negligible. Principal component analysis (PCA) demonstrated that there were roughly three sources of PTEs in the weathered waste-rocks of the mine, natural sources related to the weathering of parent rocks, and human sources, including industrial emissions, mining activities, and atmospheric dust deposition and resuspension. This study advances our knowledge of PTEs in mines and provides policymakers with a reference for designing strategies to protect mine-based ecosystems.

A study on the cyclist head kinematic responses in electric-bicycle-to-car accidents using decision-tree model.

Due to the high frequent traffic accidents involving electric bicycles (E-bike), it urgently needs improved protection of cyclists, especially their heads. In this study, by adjusting the initial impact velocities of E-bike and car, initial impact angle between E-bike and car, initial E-bike impact location, and body size of cyclist, 1512 different accident conditions were constructed and simulated using a verified E-bike-to-car impact multi-body model. The cyclist's head kinematic responses including the head relative impact velocity, WAD (Wrap around distance) of head impact location and HIC15 (15 ms Head Injury Criterion) were collected from simulation results to make up a dataset for data mining. The decision tree models of cyclist's head kinematic responses were then created from this dataset and verified accordingly. Based on simulated results obtained from decision tree models, it can be found as follows. 1. In the E-bike-to-car accidents, the average head impact relative velocity and WAD of head impact location are higher than those in the car-to-pedestrian accidents. 2. Increasing the initial impact velocity of car can increase the cyclist's head relative impact velocity, WAD of head impact location, and HIC15. 3. The WAD of cyclist's head impact location is also significantly affected by the initial impact angle between E-bike and car and body size of cyclist: the WAD of head impact location becomes higher with increasing initial impact angle between E-bike and car and body size of cyclist. 4. The effects of initial E-bike impact location on the WAD of cyclist's head impact location is not significant when initial E-bike impact location is concentrated in the region of 0.25 m around the centerline of the car.

Study on the Long Bone Failure Behaviors Under the Indenter Rigid-Contact by Experiment Analysis and Subject-Specific Simulation.

The bending fracture behaviors of long bone have gained great attention due to the high bending fracture risk during sports events, traffic accidents, and falling incidents, etc. For evaluating bone bending behaviors, most of the previous studies used an indenter in three point bending experiments while the effect of its rigidity was never considered. In this work, using the porcine long bones, the three point bending tests were conducted to explore the bone fracture behaviors under a rigid indenter. In addition to collecting the force applied, the bone fracture dynamic process was recorded by high-speed photography, and the fracture surface profile in mesoscale was observed by the scanning electron microscope (SEM). Based on CT scanning of long bones, the cross section properties of test specimens were calculated by a homemade matlab script for correlating with their failure strengths. Also, a subject-specific finite element (FE) model was developed to identify the outcomes induced by a rigid indenter on simulation. Findings led to conclusions as follows: (1) The tension fracture came with fracture path deflection, which was caused by the bone indentation induced mesoscale crack-opening. Due to this damage before the whole bone fracture, a bone fracture moment correction was established to compensate experimental data. (2) The plastic indentation caused the force fluctuation as suggested by correlation analysis. (3) The bone failure moment correlated with the inertial moment of the bone cross section at the fracture location higher than the traditional cross section area. (4) In the subject-specific simulation, the indentation caused compression fracture under a much lower failure force. Removing the element erosion on the indenter-contacted area only during the validation was verified as a good option to solve this issue.

Analysis of microbial community structure and diversity in surrounding rock soil of different waste dump sites in fushun western opencast mine.

It is importance to understand the correlation between the physicochemical properties of different surrounding rock soil and microbial communities in Fushun western opencast mining for the ecological restoration of land after mine closure. In this study, two layers of soil samples were collected from four different areas in Fushun western opencast mining: coal gangue area (CGA), green mudstone area (GMA), oil shale area (OSA) and mixed area (MA). Then, the effects of different surrounding rock soil physicochemical properties on the microbial communities were explored using the High-throughput sequencing technique. A wide diversity of taxonomical groups were present in four soil cores, and many were correlated with soil physicochemical properties. The obvious differences in microbial communities between different areas showed the influence of different surrounding rock soil on the microbial communities were significant. Redundancy analysis and the network diagram confirmed that soil physicochemical properties pH (Pondus Hydrogenii)-AN (Available Nitrogen)-EC (Electronic Conductivity)-WC (Water Content)-TK (Total Nitrogen), Cd (Cadmium)-Ni (Nickel) had great influence on the microbial communities. Therefore, this study can provide scientific judgments for the different surrounding rock soil physicochemical properties in coal mining, microbial-mediated rock mineralization and biogeochemical cycles.

A study on cyclist head injuries based on an electric-bicycle to car accident reconstruction.

OBJECTIVE: In China, the electric-bicycle (E-bike) has become one of the most common modes of travel. However, the safety of E-bike has not received sufficient attentions, especially in the area of protection of the cyclists' head. METHODS: In this study, an E-bike-to-car accident was reconstructed using MADYMO and LS-DYNA software and head injuries of the cyclist were analyzed. A multi-rigid body model in MADYMO and a head to windshield impact finite element (FE) model using LS-DYNA were separately developed to achieve objectives of the work. RESULTS: Kinematic responses of the cyclist were predicted by the multi-rigid body model to obtain the best reconstructed results compared to those given in the accident report, and the instantaneous linear and angular relative velocities at the onset of contact between the head and windshield, which were used as input loading conditions to the FE model, were obtained. The maximum principal strain (MPS) of skull, and intracranial pressure (ICP), von-Mises stress and MPS (Maximum principal strain) of brain tissue were predicted by the FE model for the head injuries analyses. CONCLUSIONS: The results of accident reconstruction in this study case showed that: (1) The head impact region on the windshield in the E-bike-to-car impact accidents is higher than that in the pedestrian-to-car impact accidents. (2) The skull MPS, ICP, von-Mises stress and MPS of strain can accurately predict the head injury risk, location, etc. (3) The directly impact force caused the skull fracture, and the tensile inertial force torn bridge vein resulting in the subdural hematoma on the opposite side of impact in this accident. (4) The models developed in this study were validated against the reconstructed accident and can be used for further study on head injuries of E-bike's cyclist and helmet design.

Transcriptome analysis of polysaccharide-based microbial flocculant MBFA9 biosynthesis regulated by nitrogen source.

Microbial flocculant (MBF), an environmentally friendly water treatment agent, can be widely used in various water treatments. However, its use is limited by low yield and high cost. This problem can be solved by clarifying its biosynthesis mechanism and regulating it. Paenibacillus shenyangensis A9, a flocculant-producing bacterium, was used to produce polysaccharide-type MBFA9 by regulating the nitrogen source (nitrogen adequacy/nitrogen deficiency). In this study, RNA-Seq high-throughput sequencing technology and bioinformatic approaches were used to investigate the fermentation and biosynthesis of polysaccharide-type MBFA9 by regulating the nitrogen source (high nitrogen/low nitrogen) in the flocculant-producing bacteria Paenibacillus shenyangensis A9. Differentially expressed genes, functional clustering, and functional annotation of key genes were assessed. Then the MBFA9 biosynthesis and metabolic pathway were reconstructed. Our results showed that when cultured under different nitrogen conditions, bacterial strain A9 had a greater ability to synthesize polysaccharide-type MBFA9 under low nitrogen compared to high nitrogen conditions, with the yield of MBFA9 reaching 4.2 g/L at 36 h of cultivation. The quality of transcriptome sequencing data was reliable, with a matching rate of 85.38% and 85.48% when L36/H36 was mapped to the reference genome. The total expressed genes detected were 4719 and 4730, with 265 differentially expressed genes. The differentially expressed genes were classified into 3 categories: molecular function (MF), cell component (CC), and biological process (BP), and can be further divided into 22 subcategories. There were 192 upregulated genes and 73 downregulated genes, with upregulation being predominant under low nitrogen. UDP-Gal, UDP-Glc, UDP-GlcA, and UDP-GlcNAc, which are in the polysaccharide metabolic pathway, could all be used as precursors for MBFA9 biosynthesis, and murA, wecB, pgm, galU/galF, fcl, gmd, and glgC were the main functional genes capable of affecting the growth of bacteria and the biosynthesis of MBF. Results from this study provide evidence that high-level expression of key genes in MBFA9 biosynthesis, regulation, and control can achieve MBFA9 directional synthesis for large-scale applications.

Nitrogen removal mechanism and microbial community changes of bioaugmentation subsurface wastewater infiltration system.

Limited nitrogen removal capacity (mainly nitrate, NO3--N) remains a major challenge for subsurface wastewater infiltration system (SWIS). Two nitrogen-removing strains have been isolated from SWIS and inoculated to SWIS to investigate the effect of bioaugmentation on nitrogen removal performance and mechanism. The results showed bioaugmentation improved the removal efficiencies of NH4+-N from 86.81% to 92.86% and TN from 74.90% to 86.55% and running stability compared to unbioaugmentation SWIS. 16 s rRNA amplicon sequencing results of the bacterial indicated that bioaugmentation altered the microbial community structure especially at 150 cm depth and increased the relative abundance of bacteria associated with nitrogen removal, significantly increasing the abundance of Rhizobiales_Incertae_Sedis and Lachnospiraceae. Furthermore, the relation between internal microbial characteristics and operational factors indicated that Hyphomicrobiaceae and Gemmatimonadaceae were also closely related to nitrogen removal. Predicted function profiles revealed that bioaugmentation enhanced the activity of nitrogen removal enzymes (Hao, NorBC, NasAB, NarGHI, NirBD and NosZ).

Enhancement of COD, ammonia, phosphate and sulfide simultaneous removal by the anaerobic photosynthetic bacterium of Ectothiorhodospira magna in batch and sequencing batch culture.

An anaerobic photosynthetic bacterium, with chemical oxygen demand (COD), ammonia nitrogen (NH3-N), total phosphorus (TP) and sulfide (S2-) simultaneous removal ability, strain SU6, was isolated and identified as belonging to Ectothiorhodospira magna. Its removal efficiencies were simultaneously evaluated in batch culture and influenced in sequencing batch culture. The maximum COD, NH3-N, TP and S2- removal rates of 93.04%, 86.70%, 37.55% and 99.99% were obtained in batch culture with an initial pH 8.0 at 35 °C after 72 h. The simultaneous removal efficiency was enhanced in sequencing batch culture, and 789.27 mg/L COD, 68.91 mg/L NH3-N, 70.20 mg/L S2- and 5.26 mg/L TP were removed by the end of the last cycle within 24 h. This was the first time of reporting contaminants' simultaneous removal by a pure-cultured photosynthetic bacterium. The experimental results demonstrate that E. magna can efficiently serve as a good candidate in anaerobic wastewater contaminants' simultaneous removal, and maybe as another model anaerobic photosynthetic microorganism for water purification investigations.

Influence of electric field and iron on the denitrification process from nitrogen-rich wastewater in a periodic reversal bio-electrocoagulation system.

This study proposed a periodic reversal bio-electrocoagulation system (PRBES) with Fe-C electrodes and three other control systems and explored their denitrification mechanism. The experimental results illustrated that iron ions contributed to increasing biomass and denitrifying bacteria and that the electric field may enhance the nitrogen transfer rate and enzyme activities. The dominant bacterial genera in the four systems were the Enterobacter (32.75%), Thauera (9.29%), Paracoccus (8.54%), Hyphomicrobium (5.01%) and Saccharibacteria_genera (10.57%). The sum of the relative abundance of the first four bacteria, which were the major microorganisms in the denitrification process in this study, was 64.61%, 55.40%, 61.19% and 47.08%, respectively, in PRBES and the three other control systems at 10 °C. Additionally, compared to the conventional SBR, there was a 65.48% decrease in N2O in PRBES at 10 °C. This study provided a meaningful and significant understanding of denitrification in PRBES when treating nitrogen-rich wastewater.

Underbody blast effect on the pelvis and lumbar spine: A computational study.

Explosion from an anti-tank landmine under a military vehicle, known as underbody blast (UBB), may cause severe injury or even death for the occupants inside the vehicle. Severity and patterns of lower extremity, pelvis and lumbar spine injuries subjected to UBB have been found highly related to loading conditions, i.e. the vertical acceleration pulse. A computational human model has been developed and successfully simulated the tibia fracture under UBB in the previous study. In the present study, it was further improved by building a detailed lumbar spine and pelvis model with high biofidelity. The newly developed pelvis and lumbar spine were validated against component level test data in the literature. Then, the whole body model was validated with the published cadaver sled test data. Using the validated whole body model, parametric studies were conducted by adjusting the peak acceleration and time duration of pulses produced in the UBB to investigate the effect of waveform on the injury response. The critical values of these two parameters for pelvis and lumbar spine fracture were determined, and the relationship between injury pattern and loading conditions was established.

Rapid nitrification process upgrade coupled with succession of the microbial community in a full-scale municipal wastewater treatment plant (WWTP).

Bioaugmentation was used to upgrade the nitrification process in a full-scale municipal WWTP with an A2/O system. A mixture of nitrifying bacteria was inoculated into the bioreactor for a final concentration of 1% (v/v). The upgrade process took 25 days, and the NH4+-N removals reached 94.6% (increased at least by 75%). The effluent concentrations of COD and NH4+-N stabilized at <30 mg/L and <4 mg/L even when the corresponding influent concentrations were over 300 mg/L and 60 mg/L, which met the first-class requirement of the National Municipal Wastewater Discharge Standards of China (COD ≤ 50 mg/L, NH4+-N ≤ 5 mg/L). The succession of the microbial community showed the enhanced NH4+-N removal efficiency mainly resulted from the persistence of introduced ammonia-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB), which increased from 0% to 0.4% and from 0.01% to 2.1%, respectively. This bioaugmentation was shown as an effective technology for upgrading or retrofitting conventional systems to tertiary-level.

Computational Study of Fracture Characteristics in Infant Skulls Using a Simplified Finite Element Model.

Skull fracture characteristics are associated with loading conditions (such as the impact point and impact velocity) and could provide indication of abuse or accident-induced head injuries. However, correlations between fracture characteristics and loading conditions in infant and toddler are ill-understood. A simplified computational model representing an infant head was built to simulate skull responses to blunt impacts. The fractures were decided through a first principal strain-based element elimination strategy. Simulation results were qualitatively compared with test data from porcine heads. This simplified model well captured the fracture pattern, initial fracture position, and direction of fracture propagation. The model also very well described fracture characteristics found in studies with human infant cadaveric specimens. A series of parametric studies was conducted, and results indicated that the parameters studied had substantial effects on fracture patterns. Additionally, the jagged shapes of sutures were associated with strain concentrations in the skull.

Clostridium guangxiense sp. nov. and Clostridium neuense sp. nov., two phylogenetically closely related hydrogen-producing species isolated from lake sediment.

Two novel anaerobic, mesophilic, biohydrogen-producing bacteria, designated strains ZGM211T and G1T, were isolated from lake sediment. 16S rRNA and ATP synthase beta subunit (atpD) gene sequences and phylogenetic analysis of strains ZGM211T and G1T revealed an affiliation to the genus Clostridium sensu stricto (cluster I of the clostridia), with Clostridium acetobutylicum as the closest characterized species, showing the same sequence similarity of 96.4 % to the type strain (98.9 % between the two isolates). Cells of the two strains were rod shaped. Growth occurred at 20-45 °C, pH 4.0-8.0 and NaCl concentrations up to 2 % (w/v). Grown on glucose, the main fermentation products were H2, CO2, acetate and butyrate. The major fatty acids were C14 : 0 and C16 : 0. The DNA G+C contents of strains ZGM211T and G1T were 40.7 and 41.5 mol%, respectively. Based on phenotypic, chemotaxonomic and phylogenetic differences, strains ZGM211T (=CICC 24070T=BCRC 80950T) and G1T (=CICC 24069T=BCRC 80949T) are proposed as the type strains of novel species of the genus Clostridium with the names Clostridium guangxiense sp. nov. and Clostridium neuense sp. nov., respectively.

Numerical simulations of the 10-year-old head response in drop impacts and compression tests.

BACKGROUND AND OBJECTIVE: Studies on traumatic injuries of children indicate that impact to the head is a major cause of severe injury and high mortality. However, regulatory and ethical concerns very much limit development and validation of computer models representing the pediatric head. The purpose of this study was to develop a child head finite element model with high-biofidelity to be used for studying pediatric head injury mechanisms. METHODS: A newly developed 10-year-old (YO) pediatric finite element head model was limitedly validated for kinematic and kinetic responses against data from quasi-static compressions and drop tests obtained from an experimental study involving a child-cadaver specimen. The validated model was subsequently used for a fall accident reconstruction and associated injury analysis. RESULTS: The model predicted the same shape of acceleration-time histories as was found in drop tests with the largest discrepancy of -8.2% in the peak acceleration at a drop height of 15 cm. Force-deflection responses predicted by the model for compression loading had a maximum discrepancy of 7.5% at a strain rate of 0.3 s(-1). The model-predicted maximum von Mises stress (σv) and principal strain (εp) in the skull, intracranial pressure (ICP), maximum σv and maximum εp in the brain, head injury criterion (HIC), brain injury criterion (BrIC), and head impact power (HIP) were used for analyzing risks of injury in the accident reconstruction. CONCLUSIONS: Based on the results of the injury analyses, the following conclusions can be drawn: (1) ICP cannot be used to accurately predict the locations of brain injury, but it may reflect the overall energy level of the impact event. (2) The brain regions predicted by the model to have high σv coincide with the locations of subdural hematoma with transtentorial herniation and the impact position of an actual injury. (3) The brain regions with high εp predicted by the model coincide with locations commonly found where diffuse axonal injuries (DAI) due to blunt-impact and rapid acceleration have taken place.

Symbiotic relationship analysis of predominant bacteria in a lab-scale anammox UASB bioreactor.

In order to provide the comprehensive insight into the key microbial groups in anaerobic ammonium oxidation (anammox) process, high-throughput sequencing analysis has been used for the investigation of the bacterial communities of a lab-scale upflow anaerobic sludge bed (UASB) anammox bioreactor. Results revealed that 109 operational taxonomic units (OTUs; out of 14,820 reads) were identified and a domination of anammox bacteria of Candidatus Kuenenia stuttgartiensis (OTU474, 35.42 %), along with heterotrophs of Limnobacter sp. MED105 (OTU951, 14.98 %), Anerolinea thermophila UNI-1 (OTU465 and OTU833, 6.60 and 3.93 %), Azoarcus sp. B72 (OTU26, 9.47 %), and Ignavibacterium sp. JCM 16511 (OTU459, 8.33 %) were detected. Metabolic pathway analysis showed that Candidatus K. stuttgartiensis encountered gene defect in synthesizing a series of metabolic cofactors for growth, implying that K. stuttgartiensis is auxotrophic. Coincidentally, the other dominant species severally showed complete metabolic pathways with full set gene encoding to corresponding cofactors presented in the surrounding environment. Furthermore, it was likely that the survival of heterotrophs in the autotrophic system indicates the existence of a symbiotic and mutual relationship in anammox system.

Genome sequence analysis of a flocculant-producing bacterium, Paenibacillus shenyangensis.

OBJECTIVE: To explore the metabolic process of Paenibacillus shenyangensis that is an efficient bioflocculant-producing bacterium. The biosynthesis mechanism of bioflocculation was used to enrich the genome of Paenibacillus shenyangensis and provide a basis for molecular genetics and functional genomics analyses. RESULTS: According to the analysis of de novo assembly, a total of 5,501,467 bp clean reads were generated, and were assembled into 92 contigs. 4800 unigenes were predicted of which 4393 were annotated showing a specific gene function in the NCBI-Nr database. 3423 genes were found in the database of cluster of orthologous groups. Among the 168 Kyoto Encyclopedia of Genes and Genomes database, cell growth and metabolism were the main biological processes, and a potential metabolic pathway was predicted from glucose to exopolysaccharide within the starch and sucrose metabolism pathway. CONCLUSION: By using the high-throughput sequencing technology, we provide a genome analysis of Paenibacillus shenyangensis that predicts the main metabolic processes and a potential pathway of exopolysaccharide biosynthesis.

Computational Modeling of Traffic Related Thoracic Injury of a 10-Year-Old Child Using Subject-Specific Modeling Technique.

Traffic injuries have become a major health-related issue to school-aged children. To study this type of injury with numerical simulations, a finite element model was developed to represent the full body of a 10-year-old (YO) child. The model has been validated against test data at both body-part and full-body levels in previous studies. Representing only the average 10-YO child, this model did not include subject-specific attributes, such as the variations in size and shape among different children. In this paper, a new modeling approach was used to morph this baseline model to a subject-specific model, based on anthropometric data collected from pediatric subjects. This mesh-morphing method was then used to rapidly morph the baseline mesh into the subject-specific geometry while maintaining a good mesh quality. The morphed model was subsequently applied to simulate a real-world motor vehicle crash accident. A lung injury observed in the accident was well captured by the subject-specific model. The findings of this study demonstrate the feasibility of the proposed morphing approach to develop subject-specific human models, and confirm their capability in prediction of traffic injuries.

Testing and Modeling the Responses of Hybrid III Crash-Dummy Lower Extremity under High-speed Vertical Loading.

Anthropometric test devices (ATDs), such as the Hybrid III crash-test dummy, have been used to simulate lowerextremity responses to military personnel subjected to loading conditions from anti-vehicular (AV) landmine blasts. Numerical simulations [e.g., finite element (FE) analysis] of such high-speed vertical loading on ATD parts require accurate material parameters that are dependent on strain rate. This study presents a combined experimental and computational study to calibrate the rate-dependent properties of three materials on the lower extremities of the Hybrid III dummy. The three materials are heelpad foam, foot skin, and lower-leg flesh, and each has properties that can affect simulation results of forces and moments transferred to the lower extremities. Specifically, the behavior of the heel-pad foam was directly calibrated through standard compression tests, and the properties of the foot skin and lower-leg flesh were calibrated based on an optimization procedure in which the material parameters were adjusted for best fit between the calculated force-deflection responses and least squares of the experimental data. The material models updated with strain-rate effects were then integrated into an ATD full-body FE model (FEM), which was used to simulate vertical impulsive loading responses at different speeds. Results of validations using this model demonstrated basic replication of experimentally obtained response patterns of the tibia. The bending moments matched those calculated from the experimental data 25-40% more accurately than those obtained from the original model, and axial forces were 60-90% more accurate. However, neither the original nor the modified models well captured whole-body response patterns, and further improvements are required. As a generalized approach, the optimization method presented in this paper can be applied to characterize material constants for a wide range of materials.

Examination of Pb2+ bio-sorption onto Rhodotorula mucilaginosa using response surface methodology.

With the rapid industrial development, wastewater has been a risk for environmental contamination. We aimed to explore the optimum condition and mechanism of Pb2+ bio-sorption onto Rhodotorula mucilaginosa WT6-5. Optimization of initial concentration of Pb2+, initial pH, and adsorption time for Pb2+ bio-sorption onto R. mucilaginosa WT6-5 was performed using response surface methodology. Field emission scanning electron microscopy, energy dispersive X-ray detection, X-ray fluorescence and Fourier transform infrared spectroscopy were used to analyze the mechanisms and characteristics of Pb2+ bio-sorption. A maximum Pb2+ bio-sorption capacity of 1.45 mg/g was obtained under the optimal conditions of initial concentration of Pb2+ (30 mg/L), initial pH (5.45) and adsorption time (25 minutes). Some Pb2+ remained after adsorption, and the -OH, -C=O and C-O functional groups were primarily involved in Pb2+ bio-sorption onto R. mucilaginosa WT6-5. The mechanism of Pb2+ bio-sorption involved chemical and biological actions, ion exchange and functional groups effects.