Properties of antibacterial bioboard from bamboo macromolecule by hot press

Wang, Li‐Shu; Ge, Shengbo; Liu, Zhenling; Zhou, Yangfeng; Yang, Xiongxiong; Yang, Wei; Li, Dongli; Peng, Wanxi

doi:10.1016/j.sjbs.2017.08.010

Cited by 28 publications

(19 citation statements)

References 14 publications

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“…The filtrate of pitaya ethanol extract was obtained by filter paper filtration. The filtrate was evaporated and concentrated to 10 ml at vacuum temperature of 45°C and 0.01 MPa, and 1 μl of sample was taken for online analysis of GC/MS 34,35 …”

Section: Methodsmentioning

confidence: 99%

Constituent diversity of ethanol extracts from pitaya

Zhang

et al. 2020

Asia-Pacific J Chem Eng

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Pitaya is rich in nutrition and unique in function and contains vegetable albumin, anthocyanins, rich vitamins, and water soluble dietary fiber, which are rare in fruits and vegetables. However, researches mostly focused on pitaya cultivation, biological characteristics, fresh‐keeping, and lacked analyses about chemical composition of pitaya. Therefore, ethanol extraction and GC/MS were used to extract and identify the bioactive components in pulp and pericarp of red pitaya and white pitaya. The extracting results showed that percentages of ethanol extracts from pulp and pericarp of red pitaya were 14.5% and 12%, whereas those of white pitaya were 16% and 12%. The GC/MS results showed that different kinds of bioactive constituents were identified in fresh pericarp and pulp of red pitaya and white pitaya. In the four ethanol extracts, there are rich polysiloxane plant organosilicon with total contents of 10.09%, 24.21%, 25.77%, and 23.25%. Meanwhile, there are many heterocyclic substances, and the content of pericarp is much higher than that of pulp. The four ethanol extracts also contain some other bioactive ingredients, such as esters, hydrocarbons, alcohols, amides, halides, and fatty acids, which can be used as raw materials for biomedicine, advanced cosmetics, and skin care products.

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Section: Methodsmentioning

confidence: 99%

Constituent diversity of ethanol extracts from pitaya

Zhang

et al. 2020

Asia-Pacific J Chem Eng

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“…As a liquid solution, the extracts were directly placed in the tablet press for tabletting. The pressed samples were tested in a Fourier transform infrared spectroscopy (SHIMADZU, IR Affinity-1) from 4000-400cm -1 [17][18][19].…”

Section: Analysis Of Group Changes During Extraction By Ft-irmentioning

confidence: 99%

Development of bioactive components from Chaenomeles sinensis leaves

et al. 2020

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Due to its good ornamental value, Chaenomeles sinensis has a long history of planting in China, and its fruit has health efficacy. The components from fruit and the functions of them have been fully excavated and developed, but there is little research on Chaenomeles sinensis leaves. In our study, the components of Chaenomeles sinensis leaves were extracted by ethanol and acetone. The extracts were identified by FT-IR and GC-MS in order to detect and excavate the bioactive components. The result shows that Chaenomeles sinensis leaves contain alcohols, ethers, aldehydes and other substances which were identified by FT-IR. The main volatile organic compounds (VOC) of Chaenomeles sinensis immature leaves are alcohols, ketones, alkenes and alkanes. Some substances can be simultaneously extracted by two solvents. Ethanol extracts contain high content of biogenic substances, and acetone solvents can effectively extract bioenergy substances.

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“…The guarantee rate, p, of the characteristic value or frequent value of variable actions is no less than 0.90 [1], such as the wind load and snow load, p = 0.98 (characteristic value) and p = 0.90 (frequent value) [20][21][22][23]. In the next section, we mainly, through contrastive analysis, present the accuracy of the Bayesian inference method in the light of p ≥ 0.90 [24][25][26].…”

Section: In the Condition Of Unknown Parameter Informationmentioning

confidence: 99%

Bayesian Methods of Representative Values of Variable Actions

Wang

Yao

2019

Symmetry

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In engineering practice, it is sometimes necessary to infer the representative value of variable action under the condition that the test data is insufficient, but the classical statistics methods adopted now do not take into account the influences of statistical uncertainty, and the inferring results are always small, especially when characteristic and frequent values are inferred. Variable actions usually obey a type I maximum distribution, so the linear regression estimation of the tantile of type I minimum distribution can be employed to infer their characteristic and frequent values. However, it is inconvenient to apply and cannot totally meet the demands of characteristic and frequent values inference. Applying Jeffreys non-informative prior distribution, Bayesian methods for inferring characteristic and frequent values of variable actions are put forward, including that with known standard deviation, which could yield more advantageous results. The methods proposed are convenient and flexible, possessing good precision.

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Properties of antibacterial bioboard from bamboo macromolecule by hot press

Cited by 28 publications

References 14 publications

Constituent diversity of ethanol extracts from pitaya

Constituent diversity of ethanol extracts from pitaya

Development of bioactive components from Chaenomeles sinensis leaves

Bayesian Methods of Representative Values of Variable Actions

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