Effects of UV-B on photochemical behavior of fly ash particle-associated PCDD/Fs.
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Adsorption↗
Biomedical subjects
X Quan
Publications and source records attributed to X Quan.
IAL-CHS (internal airlift loop--ceramic honeycomb supports) reactor used for biodegradation of 2,4-dichlorophenol and phenol.
The internal airlift loop reactor with ceramic honeycomb supports (IAL-CHS) was applied for biodegradation of 2,4-dichlorophenol (2,4-DCP) and phenol. A strain of DCP-degrading bacteria isolated from activated sludge, Achromobacter sp., was rapidly immobilized onto the ceramic honeycomb supports. The immobilized cells effectively biodegraded 2,4-DCP alone and together with phenol in batch and continuous-flow experiments. For example, 2,4-DCP was biodegraded from an influent concentration of 50 mg/L to less than 1 mg/L with a 6-h hydraulic retention time (HRT) in continuous flow tests. The immobilized biomass grew and accumulated through 2,4-DCP biodegradation, and the rate of degradation increased accordingly.
Anthelmintics↗
Quantitative predictive models for octanol-air partition coefficients of polybrominated diphenyl ethers at different temperatures.
Quantitative predictive models for octanol-air partition coefficients of polybrominated diphenyl ethers at different environmental temperatures (T) were developed. Partial least squares (PLS) regression was used for model development. A list of 18 theoretical molecular structural descriptors was screened by PLS analysis. The optimal model was selected from the one containing nine theoretical molecular descriptors and 1/T as predictor variables. The cross-validated Q(2)(cum) value for the optimal model is 0.975, indicating a good predictive ability and stability of the model. Intermolecular dispersive interactions play a leading role in governing the magnitude of logK(OA). The lower the E(LUMO) (the energy of the lowest unoccupied molecular orbital), the greater the intermolecular interactions between octanol and PCB molecules, and thus the greater the logK(OA) values.
Environmental Pollutants↗
Quantitative relationships between molecular structures, environmental temperatures and octanol-air partition coefficients of polychlorinated biphenyls.
A quantitative model that incorporates information on both environmental temperatures (T) and molecular structures, for logarithm of octanol-air partition coefficient to base 10 (logK(OA)) of polychlorinated biphenyls (PCBs) was developed. Partial least squares (PLS) analysis together with 16 theoretical molecular structural descriptors was used to develop the Quantitative relationships between structures, environmental temperatures and properties (QRSETP) model. The cross-validated Q(cum)(2) value for the optimal QRSETP model is 0.976, indicating a good predictive ability for logK(OA) of PCBs at different environmental temperatures. T, E(LUMO) (the energy of the lowest unoccupied molecular orbital), molecular size or average molecular polarizability (alpha), and the net atomic charges on chlorine, hydrogen and carbon atoms of PCB molecules, are major factors governing logK(OA). The lower the E(LUMO), the greater the intermolecular interactions between octanol and PCB molecules, and thus the greater the logK(OA) values. Because of intermolecular dispersive forces, the more chlorine atoms in PCB molecules, the greater the molecular size or alpha, the greater the logK(OA). The largest negative net atomic charge on a carbon atom (q(C)(-)) and molecular size or average molecular polarizability (alpha) are major factors governing temperature dependence of logK(OA). PCB molecules with low q(C)(-) values and more chlorines (big size or alpha) tend to have strong temperature dependence, due to intermolecular electrostatic interactions and dispersive forces, respectively.
Journal Article↗
Quantitative structure-property relationships for vapor pressures of polybrominated diphenyl ethers.
Based on quantum chemical descriptors, by the use of partial least squares regression, quantitative structure-property relationship models for subcooled liquid vapor pressures (PL) of polybrominated diphenyl ether (PBDE) congeners were developed. The Q2cum value of the optimal model obtained is as high as 0.993, indicating a good predictive ability and robustness of the model. Although disagreements were observed between the predicted log PL values and log PL values of validation set, the model obtained can still be used for estimating PL of other PBDE congeners, considering the fact that accurate PL values for compounds with low volatility are extremely difficult to determine experimentally. Intermolecular dispersive interactions play a leading role in governing the values of PL, followed by electrostatic, dipole-dipole and dipole-induced dipole interactions. Intermolecular dispersive interactions also govern the values of enthalpies of vaporization.
Chemical Phenomena↗
Quantitative relationships between molecular structures, environmental temperatures and octanol-air partition coefficients of PCDD/Fs.
A concise quantitative model that incorporates information on both environmental temperature (T) and molecular structures, for logarithm of octanol-air partition coefficient (K(OA)) to base 10 (logK(OA)) of PCDDs, was developed. Partial least squares (PLS) analysis together with 14 quantum chemical descriptors were used to develop the quantitative relationships between structures, environmental temperatures and properties (QRSETP) model. It has been validated that the obtained QRSETP model can be used to predict logK(OA) of other PCDDs. Molecular size, environmental temperature (T), q+ (the most positive net atomic charge on hydrogen or chlorine atoms in PCDD molecules) and E(LUMO) (the energy of the lowest unoccupied molecular orbital) are main factors governing logK(OA) of PCDD/Fs under study. The intermolecular dispersive interactions and thus the size of the molecules play a leading role in governing logK(OA). The more chlorines in PCDD molecules, the greater the logK(OA) values. Increasing E(LUMO) values of the molecules leads to decreasing logK(OA) values, implying possible intermolecular interactions between the molecules under study and octanol molecules. Greater q+ values results in greater intermolecular electrostatic repulsive interactions between PCDD and octanol molecules and smaller logK(OA) values.
Journal Article↗
Linear free energy relationships on rate constants for dechlorination by zero-valent iron.
By correlation analysis, molecular structural factors governing surface area-normalized rate constants (k) for dechlorination by zero-valent iron, were identified. Twenty-nine quantum chemical descriptors computed by MNDO, AM1 and PM3 Hamiltonians for gas-phase and the conductor-like screening model (COSMO) for incorporating solvent (H2O) effects were studied. Besides the energy of the lowest unoccupied molecular orbital (E(LUMO)), the character of carbon-chlorine bonds (C-Cl bonds) and especially the strength of C-Cl bonds was found significant in governing the magnitude of log k. By PLS analysis, six two-parameter linear free energy relationships (LFER) were obtained. The best two-parameter LFER model was the one using E(LUMO) and C (the Coulombic interaction energy of the two-center term for the C-Cl bonds) computed by PM3/H2O method as molecular structural descriptors. Chlorinated compounds with high E(LUMO) and C values tend to have low dechlorination rate constants.
Carbon↗
Quantitative structure-property relationships on photodegradation of PCDD/Fs in cuticular waxes of laurel cherry (Prunus laurocerasus).
By the use of the partial least squares (PLS) method and 13 fundamental quantum chemical descriptors computed by PM3 Hamiltonian, a OSPR model was developed for first order rate constants of photodegradation of 10 PCDD/Fs dissolved in cuticular wax from laurel cherry (Prunus laurocerasus) leaves and exposed to sunlight. The QSPR showed that photodegradation rates increase with the degree of chlorination of the homologues. PCDD/Fs with large values of Q(Cl) (the largest positive atomic charge on a chlorine atom in a molecule), Q(O)- (the most negative atomic charge on the oxygen atoms in a molecule), and mu (dipole moment) tend to photodegrade fastest. PCDD/Fs with large values of E(lumo) (the energy of the lowest unoccupied molecular orbital), E(homo) (the energy of the highest occupied molecular orbital), and E(lumo) - E(homo) tend to have the lowest photodegradation rates.
Benzofurans↗
Quantitative structure-property relationships for vapor pressure of PCDD/Fs.
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Benzofurans↗
Quantitative structure-property relationships for octanol-air partition coefficients of PCDD/Fs.
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Benzofurans↗
Analysis of candidate genes included in the mammary cancer susceptibility 1 (Mcs1) region.
The rat strain COP is resistant to spontaneous and carcinogen-induced mammary cancer, whereas the strain WF is susceptible. Using genetic linkage analysis of (WF x COP) F1 x WF backcrosses, LC Hsu, LA Shepel and co-workers showed that a region at the centromeric end of Chromosome (Chr) 2 (2q1) segregates with the sensitivity to mammary cancer development. The responsible locus was named Mcs1 (for mammary cancer susceptibility 1). We have developed the chromosome map of the 2q1 region by localizing 18 genes, 4 ESTs, and several anonymous markers, using radiation hybrids and fluorescence in situ hybridization. The region containing Mcs1 was delineated to 2q12-q14. Five of the genes (Mef2c, Map1b, Ccnh, Rasa, Rasgrf2) were assigned to this region and were shown to be expressed in the rat mammary glands, while three possible functional candidate genes, Pi3kr1, Rad17, and Naip, were excluded from the critical region. Since cyclin H, encoded by Ccnh, plays an important role in the control of the cell cycle and since the proteins encoded by Rasa and Rasgrf2 control the activity of the RAS oncoprotein, the corresponding genes appeared as both functional and positional Mcs1 candidates. RT-PCR experiments on RNA extracted from mammary glands of the two rat strains (COP, WF) was done. No amino acid sequence difference was found between the two strains. These results argue against the hypothesis that any of these three genes is Mcs1.
Animals↗
Quantitative structure-property relationship studies on direct photolysis of selected polycyclic aromatic hydrocarbons in atmospheric aerosol.
Based on some fundamental quantum chemical descriptors computed by PM3 Hamiltonian, by the use of partial least-squares analysis, a quantitative structure property relationship model for direct photolysis half-lives of 11 polycyclic aromatic hydrocarbons (PAHs) in atmospheric aerosol under UV irradiation was developed. PAHs with great molecular weight (bulkness) tend to photolyze fast, and PAHs with small absolute electronegativity values and large absolute hardness values, tend to photolyze fast.
Atmosphere↗
Quantitative structure-property relationships (QSPRs) on direct photolysis quantum yields of PCDDs.
By the use of partial least squares (PLS) method and 16 fundamental quantum chemical descriptors computed by PM3 Hamiltonian, quantitative structure-property relationships (QSPRs) were obtained for direct photolysis quantum yields of selected polychlorinated dibenzo-p-dioxins (PCDDs). Direct photolysis quantum yields for PCDDs without experimental quantum yield values were predicted. The QSPR results showed that it was mainly the number of chlorine atoms bonded to the parent structure, the largest positive atomic charge on a chlorine atom, the dipole moment, and the frontier molecular orbital energies (Ehomo and Elumo) that determine the direct photolysis quantum yields of the PCDDs. Increasing the number of chlorine atoms, dipole moment, and the largest positive atomic charge on a chlorine atom, leads to decrease of photolysis quantum yields. Increasing Elumo, Ehomo and Elumo - Ehomo values lead to increase of log Y values.
Chlorine↗
Quantitative structure-property relationship studies on n-octanol/water partitioning coefficients of PCDD/Fs.
Based on some fundamental quantum chemical descriptors computed by PM3 Hamiltonian, by the use of partial least-squares (PLS) analysis, a significant quantitative structure-property relationship (QSPR) model for logKow of polychlorinated dibenzo-p-dioxins and dibenzo-p-furans (PCDD/Fs) was obtained. The QSPR can be used for prediction. The intermolecular dispersive interactions and thus the bulkness of the PCDD/Fs are the main factors affecting the logKow. The more chlorines in the PCDD/F molecule, the greater the logKow values.
Benzofurans↗
Quantitative structure-property relationship study on reductive dehalogenation of selected halogenated aliphatic hydrocarbons in sediment slurries.
In this study, by the use of partial least squares (PLS) method and 26 quantum chemical descriptors computed by PM3 Hamiltonian, a quantitative structure-property relationship (QSPR) model was developed for reductive dehalogenation rate constants of 13 halogenated aliphatic compounds in sediment slurry under anaerobic conditions. The model can be used to explain the dehalogenation mechanism. Halogenated aliphatic compounds with great energy of the lowest unoccupied molecular orbital (Elumo), total energy (TE), electronic energy (EE), the smallest bond order of the carbon-halogen bonds (BO) and the most positive net atomic charges on an atom of the molecule (q+) values tend to be reductively dehalogenated slow, whereas halogenated aliphatic compounds with high values of molecular weight (Mw), average molecular polarizability (alpha) and core-core repulsion energy (CCR) values tend to be reductively dehalogenated fastest.
Electrons↗
Quantitative structure-property relationships (QSPRs) on direct photolysis of PCDDs.
By the use of partial least squares (PLS) method and 27 quantum chemical descriptors computed by PM3 Hamiltonian, a statistically significant QSPR were obtained for direct photolysis quantum yields (Y) of selected Polychlorinated dibenzo-p-dioxins (PCDDs). The QSPR can be used for prediction. The direct photolysis quantum yields of the PCDDs are dependent on the number of chlorine atoms bonded with the parent structures, the character of the carbonoxygen bonds, and molecular polarity. Increasing bulkness and polarity of PCDDs lead to decrease of log Y values. Increasing the frontier molecular orbital energies (Elumo and Ehomo) and heat of formation (HOF) values leads to increase of log Y values.
Carbon↗
Is it possible to develop a QSPR model for direct photolysis half-lives of PAHs under irradiation of sunlight?
By the use of the partial least squares method and 11 fundamental quantum chemical descriptors computed from the PM3 Hamiltonian, a Quantitative Structure-Property Relationship model was obtained for direct photolysis half-lives of selected polycyclic aromatic hydrocarbons (PAHs) under irradiation of sunlight. Direct photolysis half-lives for some other PAHs without reported values were predicted. It was concluded from the model that the main factors affecting photolysis half-lives of PAHs under irradiation of sunlight are PAH absolute hardness and electronegativity, which are related to the energy difference between the lowest unoccupied molecular orbital and the highest occupied molecular orbital, (Elumo - Ehomo) and (Elumo + Ehomo), respectively. Increasing Ehomo and the average molecular polarizability (alpha) values of the PAHs leads to decrease of photolysis half-lives. Increasing (Elumo - Ehomo) and Elumo values of the PAHs leads to an increase of the PAH photolysis half-lives.
Environmental Pollutants↗
Improved radiation hybrid map of rat chromosome 2: colocalization of the genes encoding corticotropin-releasing hormone and IL6-receptor with quantitative trait loci regulating the inflammatory response.
We established a radiation hybrid (RH) map of several genes and anonymous markers in the lower half of rat chromosome 2, a chromosome region that contains quantitative trait loci (QTLs) for blood pressure, diabetes and inflammatory response. Two of the newly localized genes (Crh and Il6r) encode proteins involved in the regulation of inflammatory and immune events. Our data show that they reside within regions that were genetically defined as QTLs controlling the inflammatory response. These genes are thus both functional and positional candidates.
Animals↗