Evaluating the performance of carboxylate platform fermentations across diverse inocula originating as sediments from extreme environments

Cope, Julia; Hammett, Amy Jo M.; Kolomiets, Elena A.; Forrest, Andrea K.; Golub, Kristina W.; Hollister, Emily B.; DeWitt, Thomas J.; Gentry, Terry J.; Holtzapple, Mark T.; Wilkinson, Heather H.

doi:10.1016/j.biortech.2013.12.105

Cited by 11 publications

(8 citation statements)

References 28 publications

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“…But we miss a staggering amount of information by doing so, as illustrated in our paper using several case studies. Partial least squares regression, though an established tool in chemometrics and bioinformatics (e.g., Cope et al 2014), is important to develop and popularize in ecology.…”

Section: Discussionmentioning

confidence: 99%

“…In this article, we have introduced a new conceptual and methodological framework for understanding vegetation-soil-topography relationships. We do not posit that our approaches and perspectives are unquestionable or decisive; rather, more research should be conducted to further evaluate and improve their applicability to a variety of ecological and environmental contexts (e.g., Cope et al 2014). We conclude this paper by presenting key research topics yet to be explored.…”

Section: Suggestions For Future Researchmentioning

confidence: 99%

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Beyond bivariate correlations: three‐block partial least squares illustrated with vegetation, soil, and topography

et al. 2015

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Ecologists, particularly those engaged in biogeomorphic studies, often seek to connect data from three or more domains. Using three‐block partial least squares regression, we present a procedure to quantify and define bi‐variance and tri‐variance of data blocks related to plant communities, their soil parameters, and topography. Bi‐variance indicates the total amount of covariation between these three domains taken in pairs, whereas tri‐variance refers to the common variance shared by all domains. We characterized relationships among three domains (plant communities, soil properties, topography) for a salt marsh, four coastal dunes, and two temperate forests spanning several regions in the world. We defined the specific bi‐ and tri‐variances for the ecological systems we included in this study and addressed larger questions about how these variances scale with each other looking at generalities across systems. We show that a system tends to exhibit high bi‐variance and tri‐variance (tight coupling among domains) when subjected to the effects of frequent and widespread (i.e., broadly acting) hydrogeomorphic disturbance. When major disturbance events are uncommon, bi‐variance and tri‐variance decrease, because the formation of vegetation, soil, and topographic patterns is primarily localized, and the couplings of these properties diverge over space, contingent upon site‐specific disturbance history and/or fine‐grained environmental heterogeneity. We also demonstrate that the bi‐variance and tri‐variance of a whole system are not consistently either greater or smaller than those of the associated sub‐zones. This point implies that the overall correlation structure among vegetation, soil, and topography is conserved across spatial scales. This paper addresses a critical aspect of ecology: the conceptual and analytical integration of data across multiple domains. By example, we show that bi‐variances and tri‐variances provide useful insight into how the strength of couplings among vegetation, soil, and topography data blocks varies across scales and disturbance regimes. Though we describe the simplest case of multi‐variance beyond the usual two‐block linear statistical model, this approach can be extended to any number of data domains, making integration tractable and more supportive of holistic inferences.

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Section: Discussionmentioning

confidence: 99%

Section: Suggestions For Future Researchmentioning

confidence: 99%

Beyond bivariate correlations: three‐block partial least squares illustrated with vegetation, soil, and topography

et al. 2015

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“…Figure 1 presents the market price range for the products yielded by anaerobic digestion, dark fermentation, and mixed culture lactic acid fermentation. Dark fermentation has been extensively reviewed for the production of value products [13][14][15][16][17][18][19][20][21][22][23][24][25]. Here it is presented the prices of hydrogen, acetic acid, ethanol, propionic acid, butyric acid, and caproic acid as dark fermentation products.…”

Section: Introductionmentioning

confidence: 99%

Increasing Profits in Food Waste Biorefinery—A Techno-Economic Analysis

Bastidas‐Oyanedel

Schmidt

2018

Energies

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The present manuscript highlights the economic profit increase when combining organic waste anaerobic digestion with other mixed culture anaerobic fermentation technologies, e.g., lactic acid fermentation and dark fermentation. Here we consider the conversion of 50 tonnes/day of food waste into methane, power generation (from CHP of biomethane), lactic acid, polylactic acid, hydrogen, acetic acid and butyric acid. The economic assessment shows that the basic alternative, i.e., anaerobic digestion with methane selling to the grid, generates 19 USD/t_VS (3 USD/t_foodwaste) of profit. The highest profit is obtained by dark fermentation with separation and purification of acetic and butyric acids, i.e., 296 USD/t_VS (47 USD/t_foodwaste). The only alternative that presented losses is the power generation alternative, needing tipping fees and/or subsidy of 176 USD/t_VS (29 USD/t_foodwaste). The rest of the alternatives generate profit. From the return on investment (ROI) and payback time, the best scenario is the production of polylactic acid, with 98% ROI, and 7.8 years payback time. Production of butyric acid ROI and payback time was 74% and 9.1 years.

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“…Nevertheless, to develop a feasible carboxylate platform technology, it is first necessary to stabilize a suitable lignocellulose-degrading microbial community in artificial bioreactor conditions. Numerous attempts to achieve this have used lignocellulolytic communities from soil (Feng et al, 2011 ; DeAngelis et al, 2012 ), compost (Guo et al, 2010 ; Reddy et al, 2013 ), marine sediments (Hollister et al, 2011 ), or extreme environments (Cope et al, 2014 ). However, so far the lignocellulose conversion yields obtained have been insufficient to envisage commercial viability.…”

Section: Introductionmentioning

confidence: 99%

Uncovering the Potential of Termite Gut Microbiome for Lignocellulose Bioconversion in Anaerobic Batch Bioreactors

et al. 2017

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Termites are xylophages, being able to digest a wide variety of lignocellulosic biomass including wood with high lignin content. This ability to feed on recalcitrant plant material is the result of complex symbiotic relationships, which involve termite-specific gut microbiomes. Therefore, these represent a potential source of microorganisms for the bioconversion of lignocellulose in bioprocesses targeting the production of carboxylates. In this study, gut microbiomes of four termite species were studied for their capacity to degrade wheat straw and produce carboxylates in controlled bioreactors. All of the gut microbiomes successfully degraded lignocellulose and up to 45% w/w of wheat straw degradation was observed, with the Nasutitermes ephratae gut-microbiome displaying the highest levels of wheat straw degradation, carboxylate production and enzymatic activity. Comparing the 16S rRNA gene diversity of the initial gut inocula to the bacterial communities in lignocellulose degradation bioreactors revealed important changes in community diversity. In particular, taxa such as Spirochaetes and Fibrobacteres that were highly abundant in the initial gut inocula were replaced by Firmicutes and Proteobacteria at the end of incubation in wheat straw bioreactors. Overall, this study demonstrates that termite-gut microbiomes constitute a reservoir of lignocellulose-degrading bacteria that can be harnessed in artificial conditions for biomass conversion processes that lead to the production of useful molecules.

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Evaluating the performance of carboxylate platform fermentations across diverse inocula originating as sediments from extreme environments

Cited by 11 publications

References 28 publications

Beyond bivariate correlations: three‐block partial least squares illustrated with vegetation, soil, and topography

Beyond bivariate correlations: three‐block partial least squares illustrated with vegetation, soil, and topography

Increasing Profits in Food Waste Biorefinery—A Techno-Economic Analysis

Uncovering the Potential of Termite Gut Microbiome for Lignocellulose Bioconversion in Anaerobic Batch Bioreactors

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