ORIGINAL RESEARCH: Alkanolamide biosurfactants: Techno-economic evaluation of biocatalytic versus chemical production

Adlercreutz, Dietlind; Tufvesson, Pär; Karlsson, Annika J.; Hatti‐Kaul, Rajni

doi:10.1089/ind.2010.6.204

Cited by 23 publications

(10 citation statements)

References 6 publications

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“…Looking at the brief history of LCA for (bio-)surfactants, it is remarkable that there is only a limited number of such studies. Examples can be seen in Adlercreutz et al (2010) where alkanolamides (bio-based surfactants) were evaluated. Sophorolipid and rhamnolipid production in a gate-to-gate system was subject to investigations in Kopsahelis et al (2018) , while Baccile et al (2017) evaluated the production of sophorolipids in a cradle-to-gate and cradle-to-grave system.…”

Section: Introductionmentioning

confidence: 99%

Integration of Genetic and Process Engineering for Optimized Rhamnolipid Production Using Pseudomonas putida

Tiso

Ihling

Kubicki

et al. 2020

Front. Bioeng. Biotechnol.

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E. coli HB101 pRK2013 Sm R , hsdR-M + , proA2, leuB6, thi-1, recA; harboring plasmid pRK2013 Ditta et al., 1980 E. coli DH5α pYTSK01K_0G7 DH5α harboring plasmid pYTSK01K_0G7 This study E. coli DH5α pVLT33-PA_rhlABC DH5α harboring plasmid pVLT33-PA_rhlABC Wittgens et al., 2017 E. coli DH5α pBNT Km DH5α harboring plasmid pBNTmcs(t)Km This study S. cerevisiae VL6-48 pYTSK10K_0G7_rhlAB VL6-48 harboring plasmid pYTSK10K_0G7_rhlAB This study E. coli DH5α pYTSK10K_1G7_rhlAB DH5α harboring plasmid pYTSK10K_1G7_rhlAB This study E. coli DH5α pRhon5Hi-2-eyfp DH5α harboring plasmid pRhon5Hi-2-eyfp Troost et al., 2019 S. cerevisiae VL6-48 pYTSK40K_1G7_rhlAB VL6-48 harboring plasmid pYTSK40K_1G7_rhlAB This study E. coli DH5α pYTSK40K_0G7_rhlAB DH5α harboring plasmid pYTSK40K_0G7_rhlAB This study E. coli S17-1 pYTSK40K_1G7_rhlAB S17-1 harboring plasmid pYTSK40K_1G7_rhlAB This study E. coli DH5αλpir pSK02 DH5α λpir harboring Tn7 delivery vector pSK02 for chromosomal integration Bator et al., 2020b E. coli DH5α pSW-2 DH5α harboring plasmid pSW-2 encoding I-SceI nuclease Martinez-Garcia and de Lorenzo, 2011 E. coli DH5αλpir pTNS-1 DH5α λpir harboring plasmid pTNS-1 Choi et al., 2005 E. coli DH5αλpir p pha DH5α λpir harboring plasmid p pha Mato Aguirre, 2019 E. coli PIR2 pEMG-flag1 PIR2 harboring plasmid pEMG-flag1 Blesken et al., 2020 E. coli PIR2 pEMG-flag2 PIR2 harboring plasmid pEMG-flag2 Blesken et al., 2020 E. coli DH5αλpir pMaW03 DH5α λpir harboring plasmid pMaW03 This study P. putida chassis strains P. putida KT2440 Wild type Bagdasarian et al., 1981 P. putida KT2440 flag PP_4328-PP_4344 and PP_4351-PP_4397 Blesken et al., 2020 P. putida KT2440 phaG PP_1408 This study P. putida KT2440 pha PP_5003-PP_5008 Blesken et al., 2020 P. putida KT2440 phaG pha PP_1408 and PP_5003-PP_5008 (phaC1ZC2DFI) This study P. putida KT2440 flag pha PP_4328-PP_4344, PP_4351-PP_4397 and PP_5003-PP_5008 This study P. putida strains used for biosurfactant production P. putida KT2440 pPS05 KT2440 harboring plasmid pPS05 Tiso et al., 2016 P. putida KT2440 SK4 rhlAB, attTn7 integrated, P 14ffg This study P. putida KT2440 sal mRL E SK40 rhlAB, eYFP, attTn7 integrated, P nagAa /nagR, Gm R , tnsABCD This study P. putida KT2440 flag SK4 PP_4328-PP_4344 and PP_4351-PP_4397, rhlAB, attTn7 integrated, P 14ffg Blesken et al., 2020 P. putida KT2440 phaG SK4 PP_1408, rhlAB, attTn7 integrated, P 14ffg This study P. putida KT2440 pha SK4 PP_5003-PP_5008, rhlAB, attTn7 integrated, P 14ffg Blesken et al., 2020 P. putida KT2440 phaG pha SK4 PP_1408 and PP_5003-PP_5008, rhlAB, attTn7 integrated, P 14ffg This study P. putida KT2440 flag pha SK4 PP_4328-PP_4344 and PP_4351-PP_4397 and PP_5003-PP_5008, rhlAB, attTn7 integrated, P 14ffg

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Section: Introductionmentioning

confidence: 99%

Integration of Genetic and Process Engineering for Optimized Rhamnolipid Production Using Pseudomonas putida

Tiso

Ihling

Kubicki

et al. 2020

Front. Bioeng. Biotechnol.

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“…Indeed, many of the potentially most interesting biocatalytic reactions, and their corresponding biocatalysts, are still under development and, as a result, many of the reactions are neither well developed nor optimized. There are a number of previously published studies reporting the benefits of biocatalytic processes in terms of their score on the environmental assessment [13][14][15], economic evaluation [16,17] and both economic and environmental assessments [18,19]. However, these studies refer to optimized processes and/or biocatalysts and thus, the use of more complete and complex tools for early development of the next generation of biocatalytic processes is not relevant.…”

Section: Introductionmentioning

confidence: 99%

Application of environmental and economic metrics to guide the development of biocatalytic processes

Lima-Ramos¹,

Tufvesson²,

Woodley³

2014

Green Processing and Synthesis

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Abstract:The increasing industrial interest in biocatalytic processes is predominantly driven by the need for selective chemistry, with high reaction yield (Y reaction ) and few side reactions, as well as the need for optically pure chiral molecules (in particularly in the pharmaceutical industry). Interestingly, it is often argued that the mild conditions frequently used in biocatalytic reactions (ambient temperature and pressure, neutral pH and aqueous-based media) automatically lead to environmentally-friendly and cost-effective production processes. However, such a conclusion is not justified without the use of adequate tools to evaluate the performance of a process, in particular during process development. Nevertheless, at the early development stage, evaluation of biocatalytic processes is not a trivial task, not only due to the lack of data, but also because at this stage many of the biocatalytic processes are not yet fully optimized. Hence, in this paper we propose the use of a range of tools which can be used to guide process development, research tasks and support decision-making. Three sets of metrics are identified, each for use at different stages of process development (route selection, early development and late development), each with different objectives.

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“…In the study by Adlercreutz et al, the production of alkanolamides (mainly biobased surfactants) was investigated in a technoeconomic analysis. 23 Kopsahelis et al have shown LCA results for the biosurfactants sophorolipids and rhamnolipids. 24 to a short process section (gate-to-gate system) at the pilot scale.…”

Section: ■ Introductionmentioning

confidence: 99%

Environmental Impacts of Biosurfactant Production Based on Substrates from the Sugar Industry

Schonhoff

Ihling

Schreiber

et al. 2022

ACS Sustainable Chem. Eng.

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Regarding the omnipresent issue of climate change, establishing a bioeconomy appears reasonable but requires critical analysis of its products. This project-specific study (project Bio2) presents previously unknown environmental impacts caused by the novel production of biosurfactants (rhamnolipids (RLs) and mannosylerythritol lipids (MELs)) based on substrates from the sugar industry (molasses and sugar beet pulp) using life cycle assessment (LCA). The identification of critical impacts and processes (e.g., extraction agent production) reveals optimization potentials for the considered forward-looking process designs. Based on surfactants’ specific cleaning performance, environmental impacts vary substantially for RLs and MELs. The primary causes of MEL productions’ lower environmental impacts are advantageous microbial properties and process designs. Substrate choice does not play an essential role. An analysis of realistic yield changes and comparisons with conventional surfactants sharpens the view on the development position of the chosen surfactants. In particular, MELs show environmental benefits compared to today’s oleo-/petrochemical-produced surfactants. Identified optimization options (e.g., increased agent recycling) and yield increases could strengthen especially the advantages of MELs. In summary, the results show advantages of MELs compared to RLs to some degree, indicate weak points of current processes, and highlight favorable options for the future design of RL and MEL production in terms of their environmental impact.

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ORIGINAL RESEARCH: Alkanolamide biosurfactants: Techno-economic evaluation of biocatalytic versus chemical production

Cited by 23 publications

References 6 publications

Integration of Genetic and Process Engineering for Optimized Rhamnolipid Production Using Pseudomonas putida

Integration of Genetic and Process Engineering for Optimized Rhamnolipid Production Using Pseudomonas putida

Application of environmental and economic metrics to guide the development of biocatalytic processes

Environmental Impacts of Biosurfactant Production Based on Substrates from the Sugar Industry

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