Litsea cubeba is an important aromatic oil plant. Litsea cubeba pericarp essential oil has various physiological activities such as antibacterial activity, antioxidant capacity, etc., and is widely used. Its main ingredient is citral, which is the raw material for the synthesis of many precious spices. For the purpose of increasing yield, researchers have conducted many studies on the extraction of essential oil from pericarp of Litsea cubeba. But the extraction process still has room for optimization。In this study, Litsea cubeba fruits were subjected to an optimized method of hydrodistillation to increase the yield and biological activity of pericarp essential oils. Three-factor and three-level orthogonal experimental design was performed (fruit preservation time, distillation voltage and fruit microwave pretreatment time) to optimize the process. According to the results of orthogonal experiments, the highest yield of essential oil can be obtained after the fruit has been preserved for 9 days without microwave pretreatment and the distillation voltage is 220 V. The extracted essential oils were analyzed by gas chromatography-mass spectrometry (GC–MS), which indicated that their main components were 2,6-Octadienal, 3,7-dimethyl-, (E)-, 2,6-Octadienal, 3,7-dimethyl-, (Z)-, 1-Heptanol and 1-Octanol. GC–MS results showed that the relative content of citral in the extracted essential oil was the highest after the fruit was preserved for nine days without microwave pretreatment and the distillation voltage was 150 V. Changes in the process will not significantly affect the main component types of essential oils, but will significantly affect the relative content of the same components.
Rosemary (Rosmarinus officinalis L.) is an essential perennial aromatic, evergreen shrub belonging to the family Lamiaceae and indigenous to the Mediterranean region (Naimi et al., 2017;de Oliveira et al., 2019). However, it could be found worldwide and grown widely in northern central Europe, America, and East Asia (Ahmed et al., 2016;Tigrine-Kordjani et al., 2012). This plant has a height of up to 2 m, with branches full of green leaves that exude a characteristic fragrance (de Oliveira et al., 2019). Its health benefits have been recognized since ancient times, and it is the raw material of many culinary traditions (Bellumori et al., 2015;Spadi et al., 2021). Moore et al. (2016) mentioned that Rosemary extract has antioxidant, anti-inflammatory, antidiabetic, and anticancer properties.Widespread use of rosemary is to extract the essential oil.Rosemary essential oil (REO) is a colorless or pale-yellow volatile liquid extracted from the branches and leaves with a characteristic odor. It consists mainly of monoterpenes such as 1,8-cineole,
Potentially toxic elements (PTEs) pollution has become a serious environmental threat, particularly in developing countries such as China. In response, there is a growing interest in phytoremediation studies to identify plant species as designated hyperaccumulators of PTEs in polluted soils. Poinsettia was selected as a candidate species for phytoremediation of six PTEs (Zn, Pb, Hg, Cr, As, Cu) in this study. A pot cultivation experiment (randomized incomplete block experimental design with 5 treatments and 4 blocks) was conducted using contaminated soils gathered from an industrial area in southcentral China. The bioaccumulation factor (BAF), translocation factor (TF), and bioconcentration factor were analyzed to determine the phytoremediation potential of poinsettia potted in different ratios of polluted soils. One-way ANOVA with post-hoc Tukey’s test showed that poinsettia had significant uptake of Zn, Pb, Cu (BAF < 1 and TF < 1, p < 0.05) and Hg (BAF < 1 and TF > 1, p < 0.05). Poinsettias can therefore effectively accumulate Zn, Pb, and Cu in their lateral roots while extracting and transferring Hg into their leaves. Moreover, poinsettia exhibited tolerance towards As and Cr. Interestingly, it was also observed that PTEs can inhibit the height of potted poinsettia at a certain concentration.
A range reduction method for shift-and-add algorithms for exponential functions is proposed in this paper. An exponential function accelerator with this method and radix-16 shift-and-add algorithm has been implemented in SMIC 55 nm CMOS process. Compared with the existing method, the proposed method reduces the latency (cycles) by 33% and 20% for 16 and 32-bit precision results, respectively; thereby increasing the throughput to 50M exp/s and reducing the power consumption to 4.6 pJ/exp. In addition, this method saves die area since no arithmetic units are adopted. This exponential accelerator is supposed to be used in a neuromorphic chip for spiking neural network modeling.
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