Comprehensive utilization of residues of Magnolia officinalis based on fiber characteristics

Luo, Xiaofang; Dessie, Wubliker; Wang, Meifeng; Duns, Gregory J.; Rong, Nianhang; Feng, Luya; Zeng, Jianguo; Qin, Zuodong; Tan, Yimin

doi:10.1007/s10163-020-01139-7

Cited by 7 publications

(7 citation statements)

References 30 publications

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“…Another study indicates that Magnolia (Magnolia officinalis) bark extract residues due to their moisture and lignocellulosic contents can be a raw material to make composites which in turn can be adapted into products. The findings reveal that composites with 20% Magnolia bark extract residues in their composition resulted in products with optimal impact and bending strengths [63].…”

Section: Further Applicationsmentioning

confidence: 90%

“…The use of MAP residues to create add-value products requires low-cost raw materials, and it can represent a business strategy that is green, economically viable, and scalable to industrial use [63]. Also, if cheap raw materials, such as agricultural residues, are used in enzyme production and other MAP-based products, production costs can be reduced and it would solve, to some extent, waste disposal problems in the industry [1].…”

Section: Positive Effects Of Waste Valorisationmentioning

confidence: 99%

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Sustainable Waste Management in the Production of Medicinal and Aromatic Plants—A Systematic Review

Marcelino,

Gaspar,

Paço

2023

Sustainability

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Without a Sustainable Waste Management (SWM) system, the growing demand for Medicinal and Aromatic Plants (MAPs) can also lead to a considerable increase in the waste generated by the industry. Since MAP residues have a notable potential to be valorised, the implementation of Circular Economy (CE) solutions can play a central role in converting waste into economic opportunities, while fostering a sustainable planet. CE helps to mitigate environmental and social risks caused by the accumulation of biomass by turning waste into valuable products. A systematic review was conducted, aiming to identify potential applications for the valorisation of MAP residues under a sustainable approach. A total number of 47 studies were analysed, providing a novel compilation of possibilities for decision makers in the MAP industry to develop new products for crop management or new businesses in food, cosmetic, pharmaceutical, chemical, paper, or building industries. Researchers in this field have focused more on the industrial value of MAP residues than on the empirical assessment of environmental and economic benefits. Further investigation should be undertaken to present empirical applications and to develop a decision support system to assess the sustainable performance of valorisation options.

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Section: Further Applicationsmentioning

confidence: 90%

Section: Positive Effects Of Waste Valorisationmentioning

confidence: 99%

Sustainable Waste Management in the Production of Medicinal and Aromatic Plants—A Systematic Review

Marcelino,

Gaspar,

Paço

2023

Sustainability

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“…Raw materials and solid residues of the pretreated IHR and SMS were analyzed by FTIR (Fourier-transform infrared spectroscopy) and SEM (scanning electron microscope). The procedures were elucidated in our recent work [13].…”

Section: Ftir and Sem Analysismentioning

confidence: 99%

Towards Full Utilization of Biomass Resources: A Case Study on Industrial Hemp Residue and Spent Mushroom Substrate

Dessie

Luo

Tang³

et al. 2021

Processes

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This was early-stage, proof-of-concept research on the full utilization of biomass resources. The current study considered industrial hemp residue (IHR) and spent mushroom substrate (SMS) to demonstrate the initial upstream steps towards the total valorization of biomass. Accordingly, different pretreatment methods such as autohydrolysis, thermal hydrolysis, and thermochemical hydrolysis methods were employed against individual and various mix ratios of IHR and SMS. To this end, raw materials, hydrolysates, and residual solids were analyzed to gain some insights, identify gaps, and suggest future research directions in this area. Implementation of the full utilization of biomass resources is, in fact, not only a matter of transforming the resources into valuable products, but it is also a plausible waste management strategy in the quest towards the development of a circular bioeconomy and sustainable future.

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“…As a commonly used prediction method, machine learning has good nonlinear characteristics [ 25 , 26 ], convergence and a certain generalization ability. Therefore, machine learning technology has been widely used in the agricultural field in recent years [ 27 , 28 ], such as the study of material characteristics [ 29 , 30 ], the control of compression mechanisms [ 31 , 32 ] and the inspection of work quality [ 33 , 34 ].…”

Section: Introductionmentioning

confidence: 99%

Experimental study on creep properties prediction of reed bales based on SVR and MLP

Zhang

Huang³

et al. 2021

Plant Methods

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Background Reed has high lignin content, wide distribution and low cost. It is an ideal raw material for replacing wood in the paper industry. Reeds are rich in resources, but the density of reeds is low, leading to high transportation and storage costs. This paper aims to study the compression process of reeds and the creep behaviour of compressed reeds, and provide theoretical guidance for the reed compressor management, bundling equipment and the stability of compressed reed bales. Results We have established a multi-layer perceptron network prediction model for the creep characteristics of reeds, and the prediction rate R2 of this model is greater than 0.997. The constitutive equation, constitutive coefficient and creep quaternary model of the reed creep process were established by using the prediction model. The creep behaviour of the reed bale is positively correlated with the initial maximum compressive stress (σ0). During the creep of the reed, the elastic power and the viscous resistance restrict each other. The results show that the proportion of elastic strain in the initial stage is the largest, and gradually decreases to 99.19% over time. The viscoelastic strain increases rapidly with time, then slowly increases, and finally stabilizes to 0.69%, while the plastic strain accounts for the proportion of the total strain. The specific gravity of the reed increases linearly with the increase of creep time, and finally accounts for 0.39%, indicating that as time increases, the damage of the reed's own structure gradually increases. Conclusions We studied the relationship between the strain and time of the reed and the strain and creep behaviour of the reed bag under different holding forces under constant force. It is proved that the multi-layer perceptron network is better than the support vector machine regression in predicting the characteristics of reed materials. The three stages of elasticity, viscoelasticity and plasticity in the process of reed creep are analysed in detail. This article opens up a new way for using machine learning methods to predict the mechanical properties of materials. The proposed prediction model provides new ideas for the characterization of material characteristics.

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Comprehensive utilization of residues of Magnolia officinalis based on fiber characteristics

Cited by 7 publications

References 30 publications

Sustainable Waste Management in the Production of Medicinal and Aromatic Plants—A Systematic Review

Sustainable Waste Management in the Production of Medicinal and Aromatic Plants—A Systematic Review

Towards Full Utilization of Biomass Resources: A Case Study on Industrial Hemp Residue and Spent Mushroom Substrate

Experimental study on creep properties prediction of reed bales based on SVR and MLP

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