No abstract

No abstract

No abstract

Four precursors (L-phenylalanine, L-tryptophan, cinnamic acid and emodin) and one signal elicitor (methyl jasmonate, MeJA) were added to liquid cultures of Hypericum perforatum L. to study their effect on production of hyperforin and hypericins (pseudohypericin and hypericin). The addition of L-phenylalanine (75 to 100 mg l À1 ) enhanced production of hypericins, but hyperforin levels were decreased. Hypericin, pseudohypericin and hyperforin concentrations were all decreased when L-tryptophan (25 to 100 mg l À1 ) was added to the medium. However, addition of L-tryptophan (50 mg l À1 ) with MeJA (100 lM) stimulated hyperforin production significantly (1.81-fold) and resulted in an increased biomass. Cinnamic acid (25, 50 mg l À1 ) and emodin (1.0 to 10.0 mg l À1 ) each enhanced hyperforin accumulation in H. perforatum, but did not affect accumulation of hypericins.

This study evaluated the changes in contents and composition of soybean isoflavone as well as the β-glucosidase production during sufu preparation by Mucor flavus (M. flavus) at low temperature. The results showed that sufu processing not only led to the losses of isoflavones but also caused the redistribution of isoflavone isomers. The levels of aglycones increased during sufu fermentation, while the corresponding levels of glucosides decreased. β-Glucosidase accumulation by M. flavus mainly contributed to the transformation of isoflavone glucosides into aglycones, which was affected by the NaCl supplementation. The highest content of aglycone isoflavones occurring was recorded as 99.4% at 15%NaCl content under investigated conditions. This work suggested that M. flavus had possible application as an alternative starter to produce sufu with the enhancement of the physiological function at lower temperature.

Atmospheric deposition has become one of the main sources of heavy metals in crops in developed and industrial zones in China for the past several years. However, lack of data of the agro-ecosystems on the vast areas of China makes it difficult to assess the impacts of air pollution on the heavy metal accumulation in crops. In this study, with deposit samples from 67 sites located at different agro-ecosystems (typical, factory nearby, town nearby, roadside, and remote) of four natural regions [Huanghuai (HH), Southeast (SE), Southwest (SW) and upper-mid Yangzi River (Up-mid YR)], atmospheric heavy metal deposition in agro-ecosystems on a large scale in China was studied. The results showed that during the growing season, the deposition fluxes of Cr, Ni, As, Cd, and Pb in typical agro-ecosystems were 0.60-36.86, 0.65-25.37, 0.05-8.88, 0.12-5.81, and 0.43-35.63 μg m day, respectively, which varied greatly between the four different regions. The average deposition fluxes of Cr, Ni, Cd, and Pb in the HH region, as well as the fluxes of As in the SW region, were significantly higher than those in the SE region. Heavy metal deposition rates among agro-ecosystems were very similar, except for the sites around cement factory in flat HH region. In mountainous SW region, however, deposition rates varied widely with sites nearby towns relatively higher and remote regions much lower. Higher correlation coefficients were observed between Cr, As, Pb, and Ni deposition rates, suggesting that they had similar sources. Samples from the SW and SE regions exhibited higher Pb/Pb and Pb/Pb ratios than those from the HH and Up-mid YR regions. Airborne Pb in SW agro-ecosystems were mainly derived from vehicle exhaust and local smelting, whereas that in the HH region from burning of northern Chinese coal.

The output response of any intact oscillatory system subjected to a Gaussian excitation is also Gaussian in nature. On the contrary, when the system contains any type of underlying nonlinearity, the output signal is definitely non-Gaussian. In beam structures, the presence of fatigue-breathing cracks significantly influences the dynamic response characteristics under Gaussian excitation. The presence of such cracks alters the response to be nonlinear, and the non-Gaussianity of the system will arise. In order to examine the non-Gaussianity features and ability for the detection and localization of fatigue cracks, several breathing crack identification scenarios in beam-like structures are presented in this paper. The effects of single and multiple breathing cracks corresponding to different boundary conditions on the responses of beams are studied. The results are analyzed based on the higher-order time-domain transformations. Higher-order transformations, namely the skewness and kurtosis coefficients in addition to the Shannon entropy, are exploited to provide dynamic details about the response, which the conventional second-order statistics cannot show. The results exhibit that the proposed methods are robust and immune to noise and can detect and localize breathing cracks with different sensitivities.

Curved continuous girder bridges (CCGBs) have been widely adopted in the civil engineering field in recent decades for complex interchanges and city viaducts. Unfortunately, compared to straight bridges, this type of bridge with horizontal curvature is relatively vulnerable to earthquakes characterized by large energy and short duration. Seismic damage can degrade the performance of CCGBs, threatening their normal operation and even resulting in collapse. Detection of seismic damage in CCGBs is thus significantly important but is still not well resolved. To this end, a new method based on wavelet packet singular entropy (WPSE) is proposed to identify seismic damage by analyzing the dynamic responses of CCGBs to seismic excitation. This WPSE-based approach features characterizing damage using synergistic advantage of the wavelet packet transform, singular value decomposition, and information entropy. To testify the algorithm, a finite element model of a typical CCGB with two types of seismic damage is built, in which the seismic damage is individually modeled by stiffness reductions at the bottom of piers and at pier-girder connections. The displacement responses of the model to El Centro seismic excitation is used to identify the damage. The results show that damage indices in the WPSE-based approach can correctly locate the seismic damage in CCGBs. Furthermore, the WPSE-based method is competent to identify damage with higher accuracy in comparison with the wavelet packet energy based method, and has a strong immunity to noise revealed by robustness analysis. An array of responses used in this approach paves the way of developing practical technologies for detecting seismic damage using advanced distributed sensing techniques, typically the optical sensors.