Spatial modeling of geogenic indoor radon distribution in Chungcheongnam-do, South Korea using enhanced machine learning algorithms.

Prolonged inhalation of indoor radon and its progenies lead to severe health problems for housing occupants; therefore, housing developments in radon-prone areas are of great concern to local municipalities. Areas with high potential for radon exposure must be identified to implement cost-effective radon mitigation plans successfully or to prevent the construction of unsafe buildings. In this study, an indoor radon potential map of Chungcheongnam-do, South Korea, was generated using a group method of data handling (GMDH) algorithm based on local soil properties, geogenic, geochemical, as well as topographic factors. To optimally tune the hyper-parameters of GMDH and enhance the prediction accuracy of modelling radon distribution, the GMDH model was integrated with two metaheuristic optimization algorithms, namely the bat (BA) and cuckoo optimization (COA) algorithms. The goodness-of-fit and predictive performance of the models was quantified using the area under the receiver operating characteristic (ROC) curve (AUC), mean squared error (MSE), root mean square error (RMSE), and standard deviation (StD). The results indicated that the GMDH-COA model outperformed the other models in the training (AUC = 0.852, MSE = 0.058, RMSE = 0.242, StD = 0.242) and testing (AUC = 0.844, MSE = 0.060, RMSE = 0.246, StD = 0.0242) phases. Additionally, using metaheuristic optimization algorithms improved the predictive ability of the GMDH. The GMDH-COA model showed that approximately 7 % of the total area of Chungcheongnam-do consists of very high radon-prone areas. The information gain ratio method was used to assess the predictive ability of considered factors. As expected, soil properties and local geology significantly affected the spatial distribution of radon potential levels. The radon potential map produced in this study represents the first stage of identifying areas where large proportions of residential buildings are expected to experience significant radon levels due to high concentrations of natural radioisotopes in rocks and derived soils beneath building foundations. The generated map assists local authorities to develop urban plans more wisely towards region with less radon concentrations.

Radon potential mapping in Jangsu-gun, South Korea using probabilistic and deep learning algorithms.

The adverse health effects associated with the inhalation and ingestion of naturally occurring radon gas produced during the uranium decay chain mean that there is a need to identify high-risk areas. This study detected radon-prone areas using a geographic information system (GIS)-based probabilistic and machine learning methods, including the frequency ratio (FR) model and a convolutional neural network (CNN). Ten influencing factors, namely elevation, slope, the topographic wetness index (TWI), valley depth, fault density, lithology, and the average soil copper (Cu), calcium oxide (Cao), ferric oxide (Fe2O3), and lead (Pb) concentrations, were analyzed. In total, 27 rock samples with high activity concentration index values were divided randomly into training and validation datasets (70:30 ratio) to train the models. Areas were categorized as very high, high, moderate, low, and very low radon areas. According to the models, approximately 40% of the study area was classified as very high or high risk. Finally, the radon potential maps were validated using the area under the receiver operating characteristic curve (AUC) analysis. This showed that the CNN algorithm was superior to the FR method; for the former, AUC values of 0.844 and 0.840 were obtained using the training and validation datasets, respectively. However, both algorithms had high predictive power. Slope, lithology, and TWI were the best predictors of radon-affected areas. These results provide new information regarding the spatial distribution of radon, and could inform the development of new residential areas. Radon screening is important to reduce public exposure to high levels of naturally occurring radiation.

Levulinic acid production by two-step acid-catalyzed treatment of Quercus mongolica using dilute sulfuric acid.

The objectives of this research were to produce a levulinic acid by two-step acid-catalyzed treatment of Quercus mongolica and to investigate the effect of treatment parameter (reaction temperature range: 100-230°C; sulfuric acid (SA) concentration range: 0-2%) on the levulinic acid yield. After 1st step acid-catalyzed treatment, most of the hemicellulosic C5 sugars (15.6gg/100gbiomass) were released into the liquid hydrolysate at the reaction temperature of 150°C in 1% SA; the solid fraction, which contained 53.5% of the C6 sugars, was resistant to further loss of C6 sugars. Subsequently, 2nd step acid-catalyzed treatment of the solid fractions was performed under more severe conditions. Finally, 16.5g/100g biomass of levulinic acid was produced at the reaction temperature of 200°C in 2% SA, corresponding to a higher conversion rate than during single-step treatment.

Degradation and polymerization of monolignols by Abortiporus biennis, and induction of its degradation with a reducing agent.

This study was carried out to better understand the characteristic modification mechanisms of monolignols by enzyme system of Abortiporus biennis and to induce the degradation of monolignols. Degradation and polymerization of monolignols were simultaneously induced by A. biennis. Whole cells of A. biennis degraded coniferyl alcohol to vanillin and coniferyl aldehyde, and degraded sinapyl alcohol to 2,6-dimethoxybenzene- 1,4-diol, with the production of dimers. The molecular weight of monolignols treated with A. biennis increased drastically. The activities of lignin degrading enzymes were monitored for 24 h to determine whether there was any correlation between monolignol biomodification and ligninolytic enzymes. We concluded that complex enzyme systems were involved in the degradation and polymerization of monolignols. To degrade monolignols, ascorbic acid was added to the culture medium as a reducing agent. In the presence of ascorbic acid, the molecular weight was less increased in the case of coniferyl alcohol, while that of sinapyl alcohol was similar to that of the control. Furthermore, the addition of ascorbic acid led to the production of various degraded compounds: syringaldehyde and acid compounds. Accordingly, these results demonstrated that ascorbic acid prevented the rapid polymerization of monolignols, thus stabilizing radicals generated by enzymes of A. biennis. Thereafter, A. biennis catalyzed the oxidation of stable monolignols. As a result, ascorbic acid facilitated predominantly monolignols degradation by A. biennis through the stabilization of radicals. These findings showed outstanding ability of A. biennis to modify the lignin compounds rapidly and usefully.

Transcriptomic analysis of the white rot fungus Polyporus brumalis provides insight into sesquiterpene biosynthesis.

Object of this study was to identify genes and enzymes that are involved in sesquiterpene biosynthesis in the wood rotting fungus, Polyporus brumalis. Sesquiterpenes, ß-eudesmane and ß-eudesmol, were produced by the mycelium of P. brumalis cultured in modified medium. However, theses final products were not observed when the fungus was grown in potato dextrose medium. We used next generation sequencing (NGS) to identify differentially expressed genes (DEGs) related to terpene metabolism. This approach generated 25,000 unigenes and 127 metabolic pathways that were assigned to Kyoto Encyclopedia Genes Groups (KEGG). Further analysis of samples from modified medium indicated significant upregulation of 8 unigenes involved in the mevalonate (MVA) and methylerythritol phosphate (MEP) biosynthetic pathways. These pathways generate isopentenyl pyrophosphate (IPP) and farnesyl pyrophosphate (FPP), which are precursors for the synthesis of sesquiterpenes. Furthermore, genes encoding germacrene A synthase, which facilitate the cyclization of FPP, were only differentially expressed in mycelium from fungi grown in modified medium. Our data provide a resource for studying the molecular mechanisms underpinning sesquiterpene biosynthesis and terpene metabolism.

Biotransformation of (-)-α-Pinene by Whole Cells of White Rot Fungi, Ceriporia sp. ZLY-2010 and Stereum hirsutum.

Two white rot fungi, Ceriporia sp. ZLY-2010 (CER) and Stereum hirsutum (STH) were used as biocatalysts for the biotransformation of (-)-α-pinene. After 96 hr, CER converted the bicyclic monoterpene hydrocarbon (-)-α-pinene into α-terpineol (yield, 0.05 g/L), a monocyclic monoterpene alcohol, in addition to, other minor products. Using STH, verbenone was identified as the major biotransformed product, and minor products were myrtenol, camphor, and isopinocarveol. We did not observe any inhibitory effects of substrate or transformed products on mycelial growth of the fungi. The activities of fungal manganese-dependent peroxidase and laccase were monitored for 15 days to determine the enzymatic pathways related to the biotransformation of (-)-α-pinene. We concluded that a complex of enzymes, including intra- and extracellular enzymes, were involved in terpenoid biotransformation by white rot fungi.

Elemol from Chamaecyparis obtusa ameliorates 2,4-dinitrochlorobenzene-induced atopic dermatitis.

Chamaecyparis obtusa has been traditionally used as an antibiotic agent and in cosmetics for the prevention of microorganism infection and skin troubles. Atopic dermatitis (AD) is a chronic inflammatory skin disease that encompasses immunologic responses, susceptibility factors and compromised skin-barrier function. Use of plant medicines in therapeutic treatment of AD has recently been suggested as an alternative therapeutic option. The present study examined the effect of elemol, an active component of Chamaecyparis obtusa, on AD using in vivo and in vitro models. RBL-2H3 cells were stimulated with concanavalin A and dinitrophenyl human serum albumin, and atopic dermatitis was induced in BALB/c mice by topical application of 2,4-dinitrochlorobenzene (DNCB) prior to elemol treatment. The mRNA expression was evaluated by reverse transcription quantitative polymerase chain reaction, and the levels of ß-hexosaminidase and serum immunoglobulin E (IgE) were examined by ELISA. Histological changes were also performed by microscopy. Elemol attenuated the onset of AD-like skin lesions, reduced serum IgE levels and decreased mast cell infiltration into the dermis and hypodermis. In addition, elemol downregulated the transcriptional expression of several pro-inflammatory cytokines, including TNF-α, IL-1ß, IL-6 and IκBα, in the skin of the DNCB-induced animal models of AD. In the RBL-2H3 mast cell line, elemol significantly inhibited the mRNA expression of IL-4 and IL-13, and further attenuated the release of ß-hexosaminidase from mast cells. Histological examination revealed that elemol significantly ameliorated the DNCB-induced dermal destruction in mice. The results of the present study suggested that elemol may have therapeutic potential in the treatment of AD due to its immunosuppressive effects.

Biotransformation of (-)-α-pinene and geraniol to α-terpineol and p-menthane-3,8-diol by the white rot fungus, Polyporus brumalis.

In this study, the monoterpenes, α-pinene and geraniol, were biotransformed to synthesize monoterpene alcohol compounds. Polyporus brumalis which is classified as a white rot fungus was used as a biocatalyst. Consequently α-terpineol was synthesized from α-pinene by P. brumalis mycelium, after three days. Moreover, another substrate, the acyclic monoterpenoids geraniol was transformed into the cyclic compound, p-menthane-3, 8-diol (PMD). The main metabolites, i.e., α-terpineol and PMD, are known to be bioactive monoterpene alcohol compounds. This study highlights the potential of fungal biocatalysts for monoterpene transformation.

Involvement of extracellular and intracellular enzymes of Ceriporia sp. ZLY-2010 for biodegradation of polychlorinated biphenyls (PCBs).

This study examined the interrelation between the biodegradation of polychlorinated biphenyls (PCBs) by Ceriporia sp. ZLY-2010 and its fungal enzyme systems. The degradation rates of Aroclor 1254 and 1260 were 29.01% on day 5 and 36.80% on day 10, respectively. MnP (Manganese dependent peroxidase) and laccase activities showed the greatest increases in the samples containing Aroclors, indicating that extracellular enzymes of Ceriporia sp. ZLY-2010 were affected by the addition of Aroclors. However, the relationship between the biodegradation rate and extracellular enzymes might be obscured by the complexity of the biodegradation process. Cytochrome P450 monooxygenase was inhibited and the biodegradation rate of the Aroclor decreased by adding the inhibitor 1-aminobenzotriazole. Two-dimensional gel electrophoresis showed that intracellular enzymes play a significant role in the biodegradation of Aroclor. Complex extracellular and intracellular enzyme systems in Ceriporia sp. ZLY-2010 play an important role in degrading PCBs. Physiological changes of Ceriporia sp. ZLY-2010 caused by PCBs appeared to affect biodegradation of PCBs. However, it is necessary to further study the unidentified enzymes related to the biodegradation of Aroclor.

Biodegradation of PCB congeners by white rot fungus, Ceriporia sp. ZLY-2010, and analysis of metabolites.

Polychlorinated biphenyls (PCBs) are difficult to degrade due to poor solubility, toxicity, and thermal stability. In the present study, the feasibility of PCB congener biodegradation by Ceriporia sp. ZLY-2010 was evaluated. The biodegradation rates of four PCB congeners, 4,4'-dichlorobiphenyl, 2,3',4',5-tetrachlorobiphenyl, 2,2',4,5,5'-pentachlorobiphenyl, and 2,2',4,4',5,5'-hexachlorobiphenyl were evaluated. The degradation rate of 4,4'-dichlorobiphenyl was 34.03% on incubation day 13, while that of 2,2',4,4',5,5'-hexachlorobiphenyl reached 40.05% on incubation day 17. Therefore, Ceriporia sp. ZLY-2010 was degrading the higher PCB congeners more efficiently. PCB congener degradation products were extracted using acetone and ethyl acetate. No 2,2',4,5,5'-pentachlorobiphenyl metabolites were detected in Ceriporia sp. ZLY-2010 culture, whereas 2,2',4,4',5,5'-hexachlorobiphenyl appeared to degrade to benzoic acid. However, intermediates of 2,2',4,4',5,5'-hexachlorobiphenyl were not detected during degradation. Therefore, additional studies should be performed to explore the mechanisms of PCB degradation. Our results indicate that Ceriporia sp. ZLY-2010 is able to degrade highly chlorinated biphenyls and has potential for use in PCB biodegradation and bioremediation.