Heavy metals and community structure of microorganism changes during livestock manure composting with inoculation of effective microorganisms

Zhou, Haibin; Shen, Yujun; Li, Ran; HaiBo, Meng; Zhang, Xi; Wang, Jian; Cheng, Hongsheng; Dong, Shuang; Song, Liqiu; Ding, Jingtao; Cheng, Qiongyi

doi:10.25165/j.ijabe.20201306.5674

Cited by 4 publications

(4 citation statements)

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“…However, it has been observed how the creation of an antioxidant environment by EM assists in the enhancement of the solid-liquid separation [107], which is the foundation of pig manure treatment. Zhou et al [108] performed a study to investigate the effect of adding EM in the microbial community and the bioavailability of heavy metals during pig manure composting. In all the experiments the compost met the safety requirement with a germination rate of 96.42%.…”

Section: Effect On Pig Manurementioning

confidence: 99%

Manure biostabilization by effective microorganisms as a way to improve its agronomic value

Hidalgo

Corona

Martín-Marroquín

2022

Biomass Conv. Bioref.

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The traditional logic behind effective microorganism is based on a media inoculation with mixed cultures of beneficial microorganisms to create a more favorable environment for plant growth and health when the media is the soil. Following this rationale, other research works have been focused on studying the effect of effective microorganisms when they are used as manure stabilizing agents, in some cases by including them in animal diets, reporting, in all cases, beneficial properties. However, the use of effective microorganisms is not yet widespread. One reason may be that no rigorous research has so far been done on the actual utility of these mixed cultures on manure stabilization and crop production. In this work, the potential uses of effective microorganisms are shown with the focus on evaluating the influence of these mixed cultures on the biostabilization of manure before its use as fertilizer. This work also presents some new perspectives on the role and application of effective microorganisms as microbial inoculants to achieve a microbiological balance of manure so that it can improve its quality, increasing production and protection of crops when applied as fertilizer, helping to conserving natural resources and creating a more sustainable agriculture and environment. Finally, this document also reviews strategies on how to improve the effect of effective microorganisms after their inoculation into the soil as part of the manure.

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Section: Effect On Pig Manurementioning

confidence: 99%

Manure biostabilization by effective microorganisms as a way to improve its agronomic value

Hidalgo

Corona

Martín-Marroquín

2022

Biomass Conv. Bioref.

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“…In Figure 1, 28 reports, which studied metals speciation by SEPs in organic fertilizers, are shown. It showed that the Tessier method was the most frequently used method with of the total articles [21,22,[40][41][42][43][44][45][46][47], followed by the modified BCR method with [20,23,30,[47][48][49][50][51]. The modified Tessier method [52][53][54][55] and other methods both acc for 14.29%.…”

Section: Sep Of Heavy Metals Speciations In Organic Fertilizersmentioning

confidence: 99%

Speciation Analysis Method of Heavy Metals in Organic Fertilizers: A Review

Wang

et al. 2022

Sustainability

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Heavy metals in organic fertilizers pose a risk to the agricultural ecosystem. The environmental risk of heavy metals depends not only on the total amount but also on the speciation. Hence, more information on heavy metals speciation in organic fertilizers is needed to avoid adverse effect. At present, the speciation information of heavy metals is usually obtained by the single-extraction method and sequential extraction method. Common heavy metals that have received attention include Cu, Zn, Pb, Cd, Cr, Hg and As. There is a lack of reviews on speciation analysis methods for heavy metals, specifically in organic fertilizers. This work aims to comprehensively review the methods, explore the problems of the sequence extraction procedure and summarize the factors affecting the distribution of heavy metals speciation. Each sequence extraction procedure of heavy metals in organic fertilizers is described in detail, and the affecting factors are proposed. The review could contribute proposing the directions of optimizing the sequence extraction procedure of heavy metals in organic fertilizers in the future.

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“…The heights of rectangular cuboids were calculated by Equation ( 5). The bottom areas were calculated using Equation (9). For comparison, we also calculated the bottom areas by applying the calibration method [21] at the background plane.…”

Section: Evaluation Of the Volume Measurement Algorithmmentioning

confidence: 99%

“…Among the organic waste treatment technologies, composting is a widely implemented technology owing to its cost-effectiveness and environmental friendliness [3,4] . Composting is a bioconversion process that converts biodegradable waste to nutrient-rich products which can be used as biofertilizer to enhance the fertility of the soil [5,6] , biopesticides to manage plant diseases, and bioremediation to stabilize heavy metals in the contaminated soil [7][8][9] . During the transformation of organic waste in the composting process, carbon and nitrogen are the most vital nutrients for microorganisms to build cell structures and acquire metabolic energy [10] , and the initial Carbon to Nitrogen ratio (C/N) of feedstock is one of the crucial factor influencing degradation rate and nutrients losses, which can be adjusted with different bulking agent [11][12][13] .…”

Section: Introduction mentioning

confidence: 99%

Method for C/N ratio estimation using Mask R-CNN and a depth camera for organic fraction of municipal solid wastes

Huang

Zhang

Xiao

et al. 2021

International Journal of Agricultural and Biological Engineering

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Fast assessment of the initial carbon to nitrogen ratio (C/N) of organic fraction of municipal solid waste (OFMSW) is an important prerequisite for automatic composting control to improve efficiency and stability of the bioconversion process. In this study, a novel approach was proposed to estimate the C/N of OFMSW, where an instance segmentation model was applied to predict the masks for the waste images. Then, by combining the instance segmentation model with the depth-camera-based volume calculation algorithm, the volumes occupied by each type of waste were obtained, therefore the C/N could be estimated based on the properties of each type of waste. First, an instance segmentation dataset including three common classes of OFMSW was built to train mask region-based convolutional neural networks (Mask R-CNN) model. Second, a volume measurement algorithm was proposed, where the measurement result of the object was derived by accumulating the volumes of small rectangular cuboids whose bottom area was calculated with the projection property. Then the calculated volume was corrected with linear regression models. The results showed that the trained instance segmentation model performed well with average precision scores AP 50 = 82.9, AP 75 = 72.5, and mask intersection over unit (Mask IoU) = 45.1. A high correlation was found between the estimated C/N and the ground truth with a coefficient of determination R 2 =0.97 and root mean square error RMSE = 0.10. The relative average error was 0.42% and the maximum error was only 1.71%, which indicated this approach has potential for practical applications.

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Heavy metals and community structure of microorganism changes during livestock manure composting with inoculation of effective microorganisms

Cited by 4 publications

References 0 publications

Manure biostabilization by effective microorganisms as a way to improve its agronomic value

Manure biostabilization by effective microorganisms as a way to improve its agronomic value

Speciation Analysis Method of Heavy Metals in Organic Fertilizers: A Review

Method for C/N ratio estimation using Mask R-CNN and a depth camera for organic fraction of municipal solid wastes

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