Change to biogas production in solid-state anaerobic digestion using rice straw as substrates at different temperatures

Liu, Yang; Fang, Junnan; Tong, Xili; Huan, Chenchen; Ji, Gaosheng; Zeng, Yong; Xu, Lishang; Yan, Zhiying

doi:10.1016/j.biortech.2019.122066

Cited by 50 publications

(9 citation statements)

References 34 publications

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“…However, the relative abundance of Firmicutes, Gemmatimonadetes, Sphingomonas and Bacillus was decreased by CSDI (Figure 3a,b), especially in the third and fifth year of CSDI, which was advantageous for SOC accumulation. Because Firmicutes predominantly performs the decomposition of cellulose, lignocellulose and chitin (Liu et al, 2020; Zhang, Su, et al, 2014), while Gemmatimonadetes (Zhao et al, 2019), Bacillus (Liu et al, 2020) and Sphingomonas (Liu et al, 2019; Woolet & Whitman, 2020) decompose relatively recalcitrant C (such as polycyclic aromatic hydrocarbons), and thus the reduction of their relative abundance was beneficial to SOC retention. Moreover, the negative correlation between SOC content and the relative abundance of Bacillus , Sphingomonas was shown by RDA (Figure 3d), which also confirmed the inference.…”

Section: Discussionmentioning

confidence: 99%

Deep incorporation of corn straw benefits soil organic carbon and microbial community composition in a black soil of Northeast China

Zhu

Lin

Guan

et al. 2022

Soil Use and Management

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‘Deep incorporation of corn straw’ (CSDI) is to concentrate the burial of corn straw into the subsurface soil layer (20–40 cm) and to break the plough pan, thereby creating a loosened plough layer (0–20 cm) and a fertile subsurface soil layer. However, its impacts on soil organic carbon (SOC) and the microbial community remain poorly understood. A field experiment was conducted to investigate the effects of 1‐year CSDI (CD1), 3‐year CSDI (CD3) and 5‐year CSDI (CD5) on soil aggregates and aggregate‐associated SOC, as well as bacterial and fungal community characteristics (examined by the high‐throughput gene sequencing method). The results demonstrated that SOC and soil fungal diversity were decreased by CD1, but increased by CD3 and CD5. Compared with the control, CD5 promoted 2–0.25 mm soil macroaggregation, significantly increased SOC by 8.94% and aggregate‐associated SOC by 5.96%–8.84%, consequently improving the physical protection of SOC by soil aggregates. CD3 and CD5 enhanced the richness and diversity of soil bacteria and fungi, and altered community composition. For soil bacteria, the relative abundance of Acidobacteria and Chloroflexi was increased, while that of Firmicutes, Gemmatimonadetes, Sphingomonas and Bacillus was decreased. For soil fungi, the relative abundance of Ascomycota, Zygomycota, Mortierella and Fusarium was greatly improved, but that of Basidiomycota was reduced. These obvious variations in microbial community structure were beneficial to straw degradation and SOC accumulation. Overall, the optimization of microbial community with CSDI plays a positive role in promoting soil organic matter, nutrient cycling and carbon sequestration, and thus improving soil fertility.

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Section: Discussionmentioning

confidence: 99%

Deep incorporation of corn straw benefits soil organic carbon and microbial community composition in a black soil of Northeast China

Zhu

Lin

Guan

et al. 2022

Soil Use and Management

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“…In pharmaceutical industries, ethanol is used in filmcoating process for tablets production and as solvent to solubilize the preservatives like injections [23][24][25]. Different organic solvents such as ethanol, acetone and isopropanol have been utilized in the formulation of tablets and capsules during wet granulation process and film-coating process [26][27][28]. Ethanol (95%, v/v) is widely used as a carrier for a wide spectrum of medicines like iodine solutions, decongestants cough [29].…”

Section: Ethanol Use In Diversified Sectors In Indiamentioning

confidence: 99%

Production of first- and second-generation ethanol for use in alcohol-based hand sanitizers and disinfectants in India

Hans

Lugani

Chandel

et al. 2021

Biomass Conv. Bioref.

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Emergence of "severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)" causing "COVID-19" or "coronavirus disease 19" as pandemic has got worldwide attention towards hygiene as the first line of defense for the infection control. It is first line of defense not only from COVID-19 but also from other infectious diseases caused by deadly pathogens such as cholera, hepatitis, tuberculosis, polio, etc. Absence of any particular vaccine or treatment let World Health Organization (WHO) recommend to the public to maintain social distancing along with regularly washing their hands with soap, sanitize their hands (where washing is not possible), and disinfect their belongings and buildings to avoid the infection. Out of various formulations available in the market, WHO has recommended alcohol-based hand sanitizers, which mainly comprise of ethanol, isopropyl alcohols, and hydrogen peroxides in different combinations due to their high potential to kill the broad range of pathogens including bacterial, viral, fungal, helminthes, etc. Therefore, alcohol-based sanitizers are in high demand since centuries to prevent infection from pathogenic diseases. Ethanol is the most common and popular alcohol in terms of vanishing wide range of pathogens, convenient to use and its production. Ethanol is produced worldwide and is used in various sectors, e.g., beauty and cosmetics, food and beverages, and as the most demanding gasoline additive. The present review is focused on the ethanol production in India, its diversified applications emphasizing hand sanitizers with discussions on formulation of sanitizer and disinfectants, and viability of lignocellulosic and food grain-based ethanol. The review article also emphasizes on the technological details of 1G and 2G ethanol production, their associated challenges, and inputs for the improved ethanol yields so as to strengthen the supply chain of ethanol in India, and making "Atmanirbhar Bharat" (Self-reliant India) campaign of Indian government successfully viable.

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“…The main composition of biogas is methane (CH 4 ) and carbon dioxide (CO 2 ) with other impurities such as hydrogen sulfide (H 2 S), ammonia (NH 3 ) and water vapor (Ge et al, 2016). The combustion of methane produces relatively environmentally friendly gases such as carbon dioxide and water vapor (Liu et al, 2019). Biogas raw materials can be obtained from various kinds of organic wastes, such as tofu waste.…”

Section: Introductionmentioning

confidence: 99%

Development of Kinetic Models For Biogas Production From Tofu Liquid Waste

Shitophyta

Salsabila

Anggraini

et al. 2021

EKW

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Biogas promises bioenergy to be developed as a renewable fuel to reduce the fossil energy crisis. Biogas raw material can be derived from tofu liquid waste. Biogas is processed by anaerobic digestion. This study aimed to develop a simulation of the kinetic model variations of biogas production from tofu liquid waste. The results showed that the ascending limb of the exponential equation had a greater coefficient (R2 = 1) than the ascending limb of the linear equation (R2 = 0.9574). The descending limb of the linear equation had a better coefficient (R2 = 0.9574) than the descending limb of the exponential equation (R2 = 0.95). The Gaussian model had the greatest R2 of 0.9937. Logistic growth had the greatest coefficient (R2 = 0.9951) compared to modified Gompertz (R2 = 0.9817) and exponential rise to maximum (R2 = 0.9852) in the simulation of cumulative biogas production. The fit model for kinetic biogas production from tofu liquid waste is Gaussian Model.Abstrak: Biogas merupakan salah satu bioenergi yang menjanjikan untuk dikembangkan dalam mengurangi krisis energi fosil. Bahan baku biogas dapat berasal dari limbah cair tahu yang diolah secara anaerobic digestion. Penelitian ini bertujuan untuk mengembangkan variasi model simulasi kinetika produksi biogas dari limbah cair tahu. Hasil penelitian menunjukkan bahwa persamaan eksponensial untuk grafik kenaikan memilki koefisien yang lebih besar (R2 = 1) dibandingkan grafik kenaikan dengan persamaan linier (R2 = 0,9574). Grafik penurunan pada persamaan linier memiliki nilai koefisien lebih besar (R2 = 0,9574) dibandingkan grafik penurunan pada persamaan eksponensial (R2 = 0,95). Model Gaussian menghasilkan nilai koefisien tertinggi R2 = 0,9937. Logistic growth menghasilkan nilai R2 terbesar (0,9951) dibandingkan modified Gompertz (R2 = 0,9817) dan exponential rise to maximum (R2 = 0,9852) pada simulasi produksi biogas kumulatif. Model yang paling cocok untuk kinetika produksi biogas dari limbah cair adalah model Gaussian.

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Change to biogas production in solid-state anaerobic digestion using rice straw as substrates at different temperatures

Cited by 50 publications

References 34 publications

Deep incorporation of corn straw benefits soil organic carbon and microbial community composition in a black soil of Northeast China

Deep incorporation of corn straw benefits soil organic carbon and microbial community composition in a black soil of Northeast China

Production of first- and second-generation ethanol for use in alcohol-based hand sanitizers and disinfectants in India

Development of Kinetic Models For Biogas Production From Tofu Liquid Waste

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