Headquarter: Chemical Industry Park, Economic Development Zone,  JiNan City,  ShanDong Province, China.

Phone +86-152 8958 7728

Angela@BlueSkytcca.com

Engineered living photosynthetic biocomposites for intensified … – Nature.com

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Advertisement
Scientific Reports volume 12, Article number: 18735 (2022)
3628 Accesses
1 Citations
11 Altmetric
Metrics details
Carbon capture and storage is required to meet Paris Agreement targets. Photosynthesis is nature’s carbon capture technology. Drawing inspiration from lichen, we engineered 3D photosynthetic cyanobacterial biocomposites (i.e., lichen mimics) using acrylic latex polymers applied to loofah sponge. Biocomposites had CO2 uptake rates of 1.57 ± 0.08 g CO2 g−1biomass d−1. Uptake rates were based on the dry biomass at the start of the trial and incorporate the CO2 used to grow new biomass as well as that contained in storage compounds such as carbohydrates. These uptake rates represent 14–20-fold improvements over suspension controls, potentially scaling to capture 570 tCO2 t−1biomass yr−1, with an equivalent land consumption of 5.5–8.17 × 106 ha, delivering annualized CO2 removal of 8–12 GtCO2, compared with 0.4–1.2 × 109 ha for forestry-based bioenergy with carbon capture and storage. The biocomposites remained functional for 12 weeks without additional nutrient or water supplementation, whereupon experiments were terminated. Engineered and optimized cyanobacteria biocomposites have potential for sustainable scalable deployment as part of humanity’s multifaceted technological stand against climate change, offering enhanced CO2 removal with low water, nutrient, and land use penalties.
Climate change poses an existential threat to global biodiversity, ecosystem stability and to humanity. To curtail its worst effects will require coordinated and extensive decarbonization programs and will certainly need some form of direct removal of greenhouse gases from the atmosphere1. Despite positive indicators towards decarbonizing electricity generation2,3, there are yet no economically sustainable technological solutions for the drawdown of atmospheric carbon dioxide (CO2)4; although capture from flue gas is progressing5. In lieu of scalable and practical engineered solutions, humanity must look to nature’s own carbon capture engineers; photosynthetic organisms (phototrophs). Photosynthesis is nature’s carbon capture technology; however, its capacity to reverse anthropogenic carbon enrichment within a meaningful timescale is equivocal, with enzymatic inefficiencies and the capacity for deployment at an appropriate scale being questioned. One potential vehicle for phototrophy is through afforestation, with the trees harvested for use in bioenergy with carbon capture and storage (BECCS) which, as a negative emissions technology, can contribute to reducing net CO2 emissions1. However, to reach the 1.5 °C Paris Agreement target, BECCS as the main approach would consume between 0.4 and 1.2 × 109 ha of land, equivalent to 25–75% of current global cropland6. Further, uncertainties surrounding the global CO2 fertilization effect cast doubt on afforestation’s potential overall effectiveness7. If we are to meet the temperature targets set by the Paris agreement, greenhouse gas removal (GGR) from the atmosphere is required on the scale of 100 s of GtCO2 per year. Recently, UK Research and Innovation announced funding for five GGR projects8 including management of peatlands, enhanced rock weathering, tree planting, biochar, and the growth of perennial crops for feeding to a BECCS process. To remove in excess of 130 MtCO2 per annum from the atmosphere would cost 10–100 US$/tCO2 at 0.2 to 8.1 MtCO2 per annum for peatland restoration, 52–480 US$/tCO2 at 12–27 MtCO2 per annum for rock weathering, 0.4–30 US$/tCO2 at 3.6 MtCO2 per annum with a 1% increase in woodland area, 0.4–30 US$/tCO2 at 6–41 MtCO2 per annum for biochar, and 140–270 US$ per tCO2 at 20–70 Mt CO2 per annum for perennial crops with BECCS9.
Taken together these methods have the potential to meet the target of 130 MtCO2 per annum but the cost of rock weathering and BECCS are high and, biochar whilst being relatively inexpensive and having no land use issues, requires a feedstock for the process that generates the biochar. This suggests that there is scope to develop and deploy other GGR technologies.
Rather than looking to the land for solutions there is just cause to look to the water; specifically, to unicellular phototrophs such as microalgae and cyanobacteria10. Algae (including cyanobacteria) fix approximately 50% of global CO2, despite contributing only 1% of global biomass11. Cyanobacteria are nature’s original bio-geoengineers that, through oxygenic photosynthesis, laid the very foundations for respiratory metabolism and the evolution of multicellular life12. The idea of applying cyanobacteria for carbon capture is not new13; however, innovative approaches towards their physical deployment are opening new horizons for these most ancient organisms.
Open ponds and photobioreactors are the default assets when using microalgae and cyanobacteria for industrial applications. These culture systems exploit suspension cultivation, whereby the cells are free floating within a growth medium14; however, ponds and photobioreactors suffer many drawbacks such as poor CO2 mass transfer, high land and water usage, are vulnerable to biological contamination, and can be expensive to build and operate15,16. Biofilm bioreactors that circumvent suspension cultivation are more water and space efficient; however, they risk damage from desiccation, are prone to biofilm detachment (and thereby loss of the active biomass), and are no less vulnerable to biological contamination17.
New approaches are needed that intensify CO2 uptake rate and overcome the challenges that limit suspension and biofilm reactors. Photosynthetic biocomposites inspired by lichens are one such approach. Lichens are composite organisms comprising a fungus and a photobiont (microalgae and/or cyanobacteria), covering circa 12% of the Earth’s landmass18. The fungus provides physical support, protection and anchorage to the substratum for the photobiont, which in turn contributes carbon (as excess photosynthate) to the fungus. The proposed biocomposites are ‘lichen mimics’ wherein a concentrated population of cyanobacteria are immobilized as a thin biocoating to a supporting substratum. In addition to the cells, the biocoating comprises a polymer matrix that substitutes for the fungus. Water-based polymer emulsions or ‘latexes’ are favored as they can be biocompatible, robust, inexpensive, easy to handle, and potentially implemented on an industrial scale19,20,21,22,23,24,25,26.
Cell immobilization using latex polymers is greatly influenced by latex formulation and the film formation process. Emulsion polymerization is a heterogeneous process used to produce synthetic rubbers, adhesive coatings, sealants, concrete additives, paper and textile coatings, and latex paints27. It has several advantages over other polymerization techniques such as its high reaction rate and monomer conversion efficiency and ease of control over the products27,28. Monomer selection depends on the desired properties of the resulting polymeric film and with mixed monomers systems (i.e., copolymerization) the polymer properties can be altered by selection of different monomer ratios which form the resulting polymeric material29. Butyl acrylate and styrene are amongst the most common monomers for acrylic latexes30, and are used here. In addition, coalescing agents (e.g., Texanol) are typically used to promote uniform film formation, in which they can alter the properties of the polymeric latex, allowing the creation of a robust and ‘continuous’ (coalesced) coating. In our initial proof-of-concept study, high surface area and highly macroporous 3D biocomposites were fabricated using commercial latex-based paints applied to loofah sponge31. Over prolonged and continuous operation (eight weeks) the biocomposites displayed a limited capacity to retain the cyanobacteria on the loofah scaffolds due to cell outgrowth which weakened the structural integrity of the latex. In the current study, we aimed to develop a range of acrylic latex polymers of known chemical composition for continuous use for carbon capture applications that were not compromised by polymer failure. In so doing, we have demonstrated capacity to design the polymer matrix element of the lichen mimic, enabling improved biological performance with substantially enhanced mechanical resilience compared with proof-of-concept biocomposites. Further optimization will accelerate the deployment of biocomposites for carbon capture applications, particularly if paired with cyanobacteria that are metabolically engineered for enhanced CO2 fixation.
Nine latexes with three polymer formulations (H—‘Hard’, N—‘Normal’, S—‘Soft’) and three levels of Texanol (0, 4, 12% v/v) were tested for toxicity and adhesion with two cyanobacteria strains. Latex type significantly influenced cell growth for S. elongatus PCC 7942 (Scheirer-Ray-Hare test, Latex: DF = 2, H = 23.157, P =  < 0.001) and CCAP 1479/1A (Two-way ANOVA, Latex: DF = 2, F = 103.93, P =  < 0.001)  (Fig. 1a). There was no significant effect of Texanol concentration on S. elongatus PCC 7942 growth; only the N-latexes were non-toxic (Fig. 1a), with 0 N and 4 N supporting increased growth of 26 and 35% respectively (Mann–Whitney U, 0 N vs. 4 N: W = 13.50, P = 0.245; 0 N vs. control: W = 25.0, P = 0.061; 4 N vs. control: W = 25.0, P = 0.061), and 12 N sustaining growth that was comparable to the biotic controls (Mann–Whitney U, 12 N vs. control: W = 17.0, P = 0.885). For S. elongatus CCAP 1479/1A, latex blend and Texanol concentration were both significant factors, with a significant interaction between the two (Two-way ANOVA, Latex: DF = 2, F = 103.93, P =  < 0.001, Texanol: DF = 2, F = 5.96, P = 0.01, Latex*Texanol: DF = 4, F = 3.41, P = 0.03). The 0 N and all ‘soft’ latexes enhanced growth (Fig. 1a). There was a trend of improved growth as the styrene composition decreased.
Toxicity and adhesion testing of cyanobacteria (Synechococcus elongatus PCC 7942 and CCAP 1479/1A) with latex formulations, relationships with glass transition temperature (Tg), and decision matrices derived from toxicity and adhesion data. (a) Toxicity testing using individual plots of percentage growth of cyanobacteria normalized to suspension culture controls. Treatments marked with * were significantly different from the controls. (b) Cyanobacteria growth data plotted against Tg of latex (Mean ± StDev; n = 3). (c) Cumulative number of cyanobacteria released from adhesion testing of biocomposites. (d) Adhesion data plotted against Tg of latexes (Mean ± StDev; n = 3). e Decision matrix derived from toxicity and adhesion data. ‘Hard’ (H) latex had a styrene to butyl acrylate ratio of 1:3, ‘normal’ (N) was 1:1, and ‘soft’ (S) was 3:1. The preceding number in the latex code corresponds to the Texanol content.
In most cases, cell viability decreased as the Texanol concentration increased; however, there was no significant correlation for either strain (CCAP 1479/1A: DF = 25, r = − 0.208, P = 0.299; PCC 7942: DF = 25, r = − 0.127, P = 0.527). Figure 1b presents the relationship between cell growth and glass transition temperature (Tg). There were strong negative correlations between the Texanol concentration and Tg values (H-latex: DF = 7, r = − 0.989, P =  < 0.001; N-latex: DF = 7, r = − 0.964, P =  < 0.001; S-latex: DF = 7, r = -0.946, P =  < 0.001). The data indicate an optimal Tg for S. elongatus PCC 7942 growth of approximately 17 °C (Fig. 1b), whereas S. elongatus CCAP 1479/1A favored a Tg of below 0 °C (Fig. 1b). There was a strong negative correlation between Tg and toxicity data for S. elongatus CCAP 1479/1A only (DF = 25, r = − 0.857, P =  < 0.001).
All latexes had good adhesive affinity, with none releasing more than 1% of cells after 72 h (Fig. 1c). There were no significant differences between latexes for either S. elongatus strain (PCC 7942: Scheirer-Ray-Hare test, Latex * Texanol, DF = 4, H = 0.903; P = 0.924; CCAP 1479/1A: Scheirer-Ray-Hare test, Latex * Texanol, DF = 4, H = 3.277, P = 0.513). More cells were released as the Texanol concentration increased (Fig. 1c). There was a stronger negative correlation between Texanol concentration and cell adhesion affinity for S. elongatus CCAP 1479/1A (DF = 25, r = − 0.428, P = 0.026) than for S. elongatus PCC 7942 (DF = 25, r = − 0.660, P =  < 0.001)  (Fig. 1d). Furthermore, there was no statistical relationship between Tg and cell adhesion for either strain (PCC 7942: DF = 25, r = 0.301, P = 0.127; CCAP 1479/1A: DF = 25, r = 0.287, P = 0.147).
For both strains the ‘hard’ latex polymers performed poorly. In contrast, 4 N and 12 N were the best performing for S. elongatus PCC 7942, while 4S and 12S were best for CCAP 1479/1A (Fig. 1e); although clearly there is scope to further optimize the polymer matrix. These polymers were taken forward for semi-batch net CO2 absorption tests.
Photophysiology was monitored over seven days using cells suspended in the aqueous latex formulations. In general, both the apparent rate of photosynthesis (PS) and the maximum PSII quantum yield (Fv/Fm) decreased over time, although the decreases were not uniform and several of the PS datasets displayed a bi-phasic response indicating partial, albeit short-lived recovery of PS activity (Figs. 2a and 3b). The biphasic response was less pronounced for Fv/Fm (Figs. 2b and 3b).
(a) Apparent rate of photosynthesis (PS) and (b) Maximum PSII quantum yield (Fv/Fm) of Synechococcus elongatus PCC 7942 in response to latex formulation compared to suspension culture controls. ‘Hard’ (H) latex had a styrene to butyl acrylate ratio of 1:3, ‘normal’ (N) was 1:1, and ‘soft’ (S) was 3:1. The preceding number in the latex code corresponds to the Texanol content. (Mean ± StDev; n = 3).
(a) Apparent rate of photosynthesis (PS) and (b) Maximum PSII quantum yield (Fv/Fm) of Synechococcus elongatus CCAP 1479/1A in response to latex formulation compared to suspension culture controls. ‘Hard’ (H) latex had a styrene to butyl acrylate ratio of 1:3, ‘normal’ (N) was 1:1, and ‘soft’ (S) was 3:1. The preceding number in the latex code corresponds to the Texanol content. (Mean ± StDev; n = 3).
For S. elongatus PCC 7942, latex formulation and Texanol concentration did not interact to affect PS over time (GLM, Latex * Texanol * Time, DF = 28, F = 1.49, P = 0.07), although the formulation was a significant factor (GLM, Latex * Time, DF = 14, F = 3.14, P =  < 0.001)  (Fig. 2a). Texanol concentration did not have a significant effect over time (GLM, Texanol * Time, DF = 14, F = 1.63, P = 0.078). There were significant interactions affecting Fv/Fm (GLM, Latex * Texanol * Time, DF = 28, F = 4.54, P =  < 0.001). An interaction between latex formulation and Texanol concentration had a significant effect on Fv/Fm (GLM, Latex * Texanol, DF = 4, F = 180.42, P =  < 0.001). Each parameter also influenced Fv/Fm over time (GLM, Latex * Time, DF = 14, F = 9.91, P =  < 0.001 and Texanol * Time, DF = 14, F = 10.71, P =  < 0.001). The 12H latex supported the lowest mean PS and Fv/Fm values (Fig. 2b), indicating that the polymer was more toxic.
There were significant differences in PS for S. elongatus CCAP 1479/1A (GLM, Latex * Texanol * Time, DF = 28, F = 2.75, P =  < 0.001), with latex formulation but not Texanol concentration as significant factors (GLM, Latex * Time, DF = 14; F = 6.38; P =  < 0.001; GLM, Texanol * Time, DF = 14, F = 1.26, P = 0.239). The 0S and 4S ‘soft’ polymers supported slightly higher PS performance levels than the suspension controls (Mann–Whitney U, 0S vs. control, W = 686.0, P = 0.044, 4S vs. control, W = 713, P = 0.01) and supported improved Fv/Fm performance (Mann–Whitney U, 0S vs. control, W = 794.0, P =  < 0.001, Mann–Whitney U, 4S vs. control, W = 815.0, P =  < 0.001)  (Fig. 3a) indicating more efficient photon transport into photosystem II. For the Fv/Fm values of CCAP 1479/1A cells, there were significant differences between latexes over time (GLM, Latex * Texanol * Time, DF = 28, F = 6.00, P =  < 0.001)  (Fig. 3b).
Figure 4 plots the mean PS and Fv/Fm values over the seven days period against cell growth for each strain. There were no clear patterns for S. elongatus PCC 7942 (Fig. 4a and b); however, CCAP 1479/1A indicated a parabolic relationship for PS (Fig. 4c) and Fv/Fm values (Fig. 4d) with growth broadly following the change in the styrene and butyl acrylate ratio.
The relationship between growth and photophysiology for Synechococcus elongatus in response to latex formulation. (a) Toxicity data plotted against the apparent rate of photosynthesis (PS) and (b) the maximum PSII quantum yield (Fv/Fm) of PCC 7942. c Toxicity data plotted against PS and d Fv/Fm of CCAP 1479/1A. ‘Hard’ (H) latex had a styrene to butyl acrylate ratio of 1:3, ‘normal’ (N) was 1:1, and ‘soft’ (S) was 3:1. The preceding number in the latex code corresponds to the Texanol content. (Mean ± StDev; n = 3).
The PCC 7942 biocomposites had limited effectiveness in retaining cells, with considerable cell leaching within the first four weeks (Fig. 5). After an initial CO2 absorption phase, cells immobilized with the 12 N latex began to release CO2, maintaining this pattern between days 4 to 14 (Fig. 5b). These data correspond to observations of pigment bleaching. Net CO2 absorption commenced again from day 18. Despite the release of cells (Fig. 5a), the PCC 7942 12 N biocomposites still accumulated more CO2 than the suspension controls across the 28 days, although not significantly so (Mann–Whitney U test, W = 2275.5; P = 0.066). The CO2 absorption rates with the 12 N and 4 N latexes were 0.51 ± 0.34 and 1.18 ± 0.29 g CO2 g−1biomass d−1. There were statistically significant differences between treatment and time levels (Scheirer-Ray-Hare test, Treatment: DF = 2, H = 70.62, P =  < 0.001 Time: DF = 13, H = 23.63, P = 0.034) but there was no significant interaction between treatment and time (Scheirer-Ray-Hare test, Time * Treatment: DF = 26, H = 8.70, P = 0.999).
Semi-batch CO2 absorption tests with Synechococcus elongatus PCC 7942 biocomposites with the 4 N and 12 N latexes. (a) Images demonstrate cell release and pigment bleaching as well as SEM images of biocomposites before and after tests. White dash lines indicate where cells were deposited on the biocomposites. (b) cumulative net CO2 absorption over the four weeks period. ‘Normal’ (N) latex had a styrene to butyl acrylate ratio of 1:1. The preceding number in the latex code corresponds to the Texanol content. (Mean ± StDev; n = 3).
Cell retention was much improved for the CCAP 1479/1A strain with 4S and 12S, despite the pigments slowly discoloring with time (Fig. 6a). CCAP 1479/1A biocomposites absorbed CO2 for the full 84 days (12 weeks) without additional nutrient supplementation. SEM analysis (Fig. 6a) supported the visual observation of little cell detachment. Initially, the cells were embedded within the latex coatings and, despite cell growth, the integrity held. The CO2 absorption rates were significantly higher than the suspension controls (Scheirer-Ray-Hare test, Treatment: DF = 2; H = 240.59; P =  < 0.001, Time: DF = 42; H = 112; P =  < 0.001)  (Fig. 6b). The 12S biocomposites achieved the highest CO2 absorption rate (1.57 ± 0.08 g CO2 g−1biomass d−1), with the 4S latex being 1.13 ± 0.41 g CO2 g−1biomass d−1, but they were not significantly different (Mann–Whitney U test, W = 1507.50; P = 0.07) and there was no significant interaction between treatment and time (Scheirer-Ray-Hare test, Time * Treatment: DF = 82; H = 10.37; P = 1.000).
Semi-batch CO2 absorption tests with Synechococcus elongatus CCAP 1479/1A biocomposites with the 4 N and 12 N latexes. (a) Images demonstrate cell release and pigment bleaching as well as SEM images of biocomposites before and after tests. White dash lines indicate where cells were deposited on the biocomposites. (b) cumulative net CO2 absorption over the twelve weeks period. ‘Soft’ (S) latex had a styrene to butyl acrylate ratio of 1:1. The preceding number in the latex code corresponds to the Texanol content. (Mean ± StDev; n = 3).
There were no significant differences in carbohydrate content for either S. elongatus PCC 7942 (Scheirer-Ray-Hare test, Time * Treatment: DF = 4, H = 3.243, P = 0.518) or S. elongatus CCAP 1479/1A biocomposites (two-way ANOVA, Time * Treatment: DF = 8, F = 1.79, P = 0.119) (Fig. S4). Carbohydrate content was highest by week 2 in the PCC 7942 biocomposites (4 N = 59.4 ± 22.5% w/w, 12 N = 67.9 ± 3.3% w/w), whereas the carbohydrate content of the suspension control was highest by week 4 (Control = 59.6 ± 2.84% w/w). Apart from at the start of the trial, the total carbohydrate content of the CCAP 1479/1A biocomposites was equivalent to the suspension controls, with some variation in the 12S latex on week 4. The highest biocomposite values were 51.9 ± 9.6% w/w for 4S and 77.1 ± 17.0% w/w for 12S.
We set out to demonstrate capacity to design for improved structural integrity of thin film latex polymer coatings as an essential component of a lichen-mimic biocomposite concept, without compromising on biocompatibility or operational performance. Indeed, if the structural problems associated with cell outgrowth were overcome we would anticipate substantial performance improvements beyond our proof-of-concept biocomposites which were already rivalling other cyanobacteria and microalgae carbon capture systems31.
Coatings must be non-toxic, robust, support long-term cell adhesion, and should be porous to facilitate effective CO2 mass transfer and O2 off-gassing. Acrylic latex type polymers are easily formulated and widely used in the coatings, textiles and adhesives industries30. We combined cyanobacteria with water-borne acrylic latex polymer emulsions polymerized from defined ratios of styrene/butyl acrylate particles and with differing Texanol concentrations. Styrene and butyl acrylate were selected to enable manipulation of physical properties, particularly the elasticity of the coating and coalescing efficiency (essential for a robust and high adhesion coating), allowing synthesis of ‘hard’ and ‘soft’ polymer particles. The toxicity data indicated that ‘hard’ latexes with a high styrene content were unfavorable for cyanobacteria survival. Unlike butyl acrylate, styrene is recognized as toxic to algae32,33. The cyanobacteria strains responded quite differently to the latexes, identifying an optimal glass transition temperature (Tg) for S. elongatus PCC 7942, whereas S. elongatus CCAP 1479/1A had a negative linear relationship with Tg.
Drying temperature affects the capacity to form a continuous homogeneous latex film. If the drying temperature is below the minimum film formation temperature (MFFT), the polymeric latex particles will not fully coalesce, resulting in adhesion at the particle–particle interface only. The resulting film can suffer from weak cohesive and mechanical strength and may even take on a powdery form29. The MFFT is closely related to Tg and can be controlled by monomer composition and through the inclusion of coalescing agents, such as Texanol. The Tg defines many of the physical properties of the resulting coating, which can occupy either a rubbery or glassy state34. Tg is influenced by monomer type and relative percentage composition according to the Flory-Fox Equaion35. Adding a coalescing agent can lower the MFFT through non-permanent suppression of the latex particle Tg, enabling film formation at lower temperatures, but still allowing formation of a hard and robust coating, as the coalescing agent slowly evaporates or is extracted over time36.
Increasing Texanol concentration promoted film formation by softening the polymer particles (lowering the Tg) by absorption into the particles during drying37, improving cohesive film strength and cell adhesion. As the biocomposites were dried at ambient temperature ( 18–20 °C), the Tg of the ‘hard’ latexes (30 to 55 °C) were higher than the drying temperature, meaning that particle coalescence may be sub-optimal, resulting in film remaining in the glassy state with poor mechanical and adhesive properties, with limited elasticity and diffusion rates30, ultimately resulting in greater cell loss. Film formation in the ‘normal’ and ‘soft’ polymers occurred at or below the polymer film Tg, with film formation benefiting from improved coalescence, resulting in continuous polymeric films with improved mechanical, cohesive and adhesive properties. The resulting films would remain in the rubbery state during the CO2 capture experiments as their Tg was close to (‘normal’ blend: 12 to 20 ºC) or well below (‘soft’ blend: − 21 to − 13 °C) the ambient temperature30. ‘Hard’ latexes (3.4 to 2.9 kgf mm−1) were three times harder than the ‘normal’ blends (1.0 to 0.9 kgf mm−1). The hardness of the ‘soft’ latexes could not be measured using microhardness due to their excessive rubbery behavior and tackiness at room temperature. The surface charge is also likely to influence the adhesion affinity, but further data are needed to provide meaningful insights. Nevertheless, all of the latexes were effective at retaining the cells, releasing less than 1%.
Photosynthetic performance decreased over time. Exposure to polystyrene can cause membrane destruction and oxidative stress38,39,40,41. The Fv/Fm values from S. elongatus CCAP 1479/1A exposed to 0S and 4S were enhanced almost two-fold compared to suspension controls, which corresponded well with the 4S biocomposite CO2 absorption rates, irrespective of the low average PS values. The higher Fv/Fm values infer that the electron transport to PSII can deliver more photons42 potentially leading to higher CO2 fixation rates. However, it should be noted that the photophysiology data were obtained from cells suspended in the aqueous latex solution and may not necessarily be directly comparable with the mature biocomposites.
There could be the potential for cellular stress and reduced performance if the latexes presented barriers to light and/or gas exchange, causing light and CO2 limitation, and photorespiration should O2 off-gassing be compromised39. Light transmission through cured coatings was assessed, with the ‘hard’ latexes showing minor transmission losses between 440 and 480 nm (partially ameliorated by increasing the Texanol concentration through improved film coalescence), whereas the ‘soft’ and ‘normal’ latexes showed no significant losses. The analyses, as well as all incubations, were conducted at low light intensities (30.5 μmol m−2 s−1); therefore, any loss in photosynthetically active radiation attributable to the polymer matrix would be more than compensated at irradiances more typical of daylight or intensive artificial illumination, and may even be beneficial in preventing photoinhibition at damaging light intensities.
The CCAP 1479/1A biocomposites functioned for the 84 days of this trial without nutrient refreshment or noticeable biomass loss—a key objective of the study. The depigmentation of the cells was likely due to a chlorosis process that acted as a response to nitrogen starvation to enable long term survival (dormant-like state), which may assist the cells to reinitiate growth once sufficient nitrogen accumulation is reached43. The SEM images confirmed that the cells were retained within the coatings despite cell division having occurred, evidencing the elasticity of the ‘soft’ latexes, thus demonstrating a clear advance beyond the proof-of-concept versions. The ‘soft’ latexes were around 70% butyl acrylate by weight, which is well above the concentration reported to produce flexible coatings after drying44.
The net CO2 absorption rates were substantially higher than the suspension controls (by 14–20 and 3–8 times for S. elongatus CCAP 1479/1A and PCC 7942 respectively). Previously, using a CO2 mass transfer model, we showed that the main driving force for high CO2 uptake was a steep CO2 concentration gradient at the biocomposite surface31, with biocomposite performance potentially limited by mass transfer resistance. This could be addressed by introducing non-toxic, non-film forming components into the latex formulations to increase coating porosity and permeability26, but may compromise cell retention as this strategy will inevitably lead to weaker films20. It is possible to alter chemical composition to increase porosity during polymerization, which is a better option particularly from industrial and scalability perspectives45.
The performance of the new biocomposites compared favorably with recent studies using microalgae and cyanobacteria biocomposites when adjusted for cell loading rate (Table 1)21,46, and were operated over much longer periods (84 days versus 15 h46 and 3 weeks21).
The bulk cellular carbohydrate content compared favorably with other studies using cyanobacteria47,48,49,50, and was used as a potential yardstick for carbon capture and utilization/recycling applications, e.g., for fermentation processes49,51 within a BECCS framework or for the manufacture of biodegradable bioplastics52. As part of the rationale for this study, we suggested that afforestation, even if considered within a negative emissions BECCS concept, was not the panacea for climate change, and would consume an alarming proportion of global arable land6. As a thought experiment, it has been estimated that between 640 and 950 GtCO2 must be removed from the atmosphere by 2100 to limit global temperature rise to 1.5 °C53 (approximating to 8 to 12 GtCO2 per annum). To achieve this using the best performing biocomposite (574.08 ± 30.19 tCO2 t−1biomass yr−1) would require scaling to 5.5 × 1010 to 8.2 × 1010 m3 (assuming the equivalent photosynthetic efficiency), containing between 196 and 292 million litres of polymer. Assume that 1 m3 of biocomposite occupies a land footprint of 1 m2, the area required to absorb the target total annual global CO2 would range between 5.5 and 8.17 million hectares; equivalent to 0.18–0.27% of habitable land in the tropics, and reducing the land requirement for BECCS by 98–99%. It should be noted that the theoretical scaled capture was based on the CO2 absorption rates recorded under low light exposure. Once the biocomposites are exposed to natural light, which is of higher intensity, the CO2 uptake rates should increase, which will further decrease the land requirement and tip the balance further towards the biocomposites concept. However, implementation location would need to be equatorial to obtain consistently high light intensity and duration.
The global CO2 fertilization effect—i.e., the enhancement in vegetation productivity driven by increased CO2 availability—has decreased in most terrestrial regions, likely due to changes in key soil nutrients (N and P) and water resources7. This means that terrestrial photosynthesis may not result in increased CO2 uptake, despite rising CO2 concentrations in air. With this scenario, land-based climate mitigation strategies such as BECCS are even less likely to succeed. If this global phenomenon holds true, our lichen inspired biocomposites could become a pivotal asset by turning unicellular aquatic photosynthetic microorganisms into ‘terrestrial proxies’. Most terrestrial plants fix CO2 through C3 photosynthesis, with C4 plants favored in warmer and drier habitats and proving more efficient at higher CO2 partial pressures54. Cyanobacteria offer an alternative that could negate the worrying projections for the impact of a weakening CO2 fertilization effect on C3 plants. Cyanobacteria have overcome photorespiratory limitations by evolving efficient carbon concentrating mechanisms55, wherein higher partial pressures of CO2 are presented to, and maintained around ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCo) within carboxysomes. If production of cyanobacteria biocomposites can be scaled, this could represent an important weapon in humanities’ arsenal against climate change.
Biocomposites (lichen mimics) hold distinct advantages over conventional microalgae and cyanobacteria suspension-based cultures by providing higher CO2 uptake rates, minimizing the risk of contamination, and promising much lower land, water and nutrients usage at a competitive CO2 avoidance cost56. This study has demonstrated the capacity to design and manufacture high performance biocompatible latex that, when paired with loofah sponge as a candidate scaffold, deliver effective and efficient CO2 absorption over months-long operational periods with minimal cell loss. The biocomposites could theoretically capture around 570 tCO2 t−1biomass yr−1, and could prove to be more crucial in our fight against climate change than an afforestation-BECCS strategy. With further optimization of the polymer formulation, testing under higher light intensities and, if married with carefully considered metabolic engineering, nature’s original bio-geoengineers may once again ride to the rescue.
Acrylic latex polymers were prepared using styrene, butyl acrylate and acrylic acid monomer mixtures, adjusted to pH 7 using 0.1 M sodium hydroxide (Table 2). Styrene and butyl acrylate comprised the bulk of the polymer chain, while acrylic acid helped maintain the latex particles in suspension57. The structural performance of the latex was defined by the glass transition temperature (Tg) which was controlled by altering the ratio of styrene to butyl acrylate, offering ‘hard’ and ‘soft’ characteristics respectively58. A typical acrylic latex polymer consists of 50:50 styrene: butyl acrylate30; hence, in this study latexes with that ratio were termed ‘normal’, those with more styrene were termed ‘hard’ and those with less styrene were termed ‘soft’.
A primary emulsion was made using distilled water (174 g), sodium bicarbonate (0.5 g), and a surfactant Rhodapex Ab/20 (30.92 g) (Solvay) to stabilize the monomer droplets30. A secondary aliquot, comprising of styrene, butyl acrylate, and acrylic acid as specified in Table 2, was added dropwise to the primary emulsion over 4 h at 100 mL h−1 using a glass syringe (Science Glass Engineering) assisted with a syringe pump (Cole-Palmer, Vernon Hills, Illinois). An initiator solution to promote polymerization59 was prepared using dH2O and ammonium persulfate (100 mL, 3% w/w).
A solution containing dH2O (206 g), sodium bicarbonate (1 g), and Rhodapex Ab/20 (4.42 g) was stirred with a stainless-steel propeller using an overhead stirrer (Heidolph Hei-TORQUE value 100) and heated to 82 °C in a water jacketed vessel attached to a VWR Scientific 1137P heating water bath. A reduced mass of monomer (28.21 g) and initiator (20.60 g) solutions were added dropwise to the jacket vessel and stirred for 20 min. The remaining monomer (150 mL h−1) and initiator (27 mL h−1) solutions were stirred vigorously to maintain particle suspension until they were added to a water jacketed vessel over 5 h using 10 mL and 100 mL syringes respectively assisted with a syringe pump. Stirrer speeds were increased in relation to the increasing suspension volume to ensure the suspension was retained. The reaction temperature was increased to 85 °C once both initiator and emulsion solutions had been added, mixed thoroughly for 30 min at 450 RPM, and then cooled to 65 °C. Two chaser solutions were added to the latex once cooled; tert-butyl hydroperoxide (t-BHP) (70% in water) (5 g, 14% w/w) and isoascorbic acid (5 g, 10% w/w). t-BHP was added dropwise and left to react for 20 min. Isoascorbic acid was then added at 4 mL h-1 from a 10 mL syringe using a syringe pump. The latex solution was then allowed to cool to room temperature and adjusted to pH 7 with 0.1 M sodium hydroxide.
2,2,4-Trimethyl-1,3-pentanediol monoisobutyrate (Texanol)—a low toxicity biodegradable coalescence agent used in latex paints37,60—was added in three volumes using a syringe and pump (0, 4, 12% v/v) as a coalescence agent to the latex mixture to promote film formation during drying37. The percentage solids content of the latexes was determined by oven drying 100 µL of each polymer in pre-weighed aluminum foil caps for 24 h at 100 °C.
For light transmission, each latex blend was coated onto glass microscope slides using a stainless-steel draw-down cube calibrated to prepare 100 µm thickness films and dried at 20 °C for 48 h. Light transmission (focusing on photosynthetically active radiation; λ 400–700 nm) was measured using an ILT950 SpectriLight Spectroradiometer, with the sensor 35 cm from 30 W daylight-type fluorescent tubes (Sylvania Luxline Plus, n = 6)—the light source under which the cyanobacteria and biocomposites were maintained. SpectrILight III version 3.5 software was used to record irradiance and transmission at λ 400–700 nm61. All samples were placed on top of the sensor and an uncoated microscope slide was used as a control.
Prior to hardness testing, latex samples were added to a silicone baking tray and allowed to dry for 24 h. Dried latex samples were placed onto a steel mantle under a × 10 microscope lens. Once in focus the sample was assessed using a Buehler Micromet II microhardness tester. Samples were subjected to forces ranging from 100 to 200 g with a set 7 s of loading time, creating a diamond indentation within the sample. This indent was analyzed using a Bruker Alicona × 10 microscope lens with the additional shape measuring software. Vickers Hardness formula (Eq. 1) was used to calculate the hardness of each latex; where, HV is the Vickers number, F is the applied force, and d is the mean value of the diagonals of the indentation calculated from the height and width of the indent. ‘Soft’ latexes were unable to be measured due to sticking and stretching during indentation testing.
To determine, glass transition temperature (Tg) of the latex formulation, polymer samples were deposited into a silicone tray, dried for 24 h, weighed to 0.005 g, and placed into a sample pan. The pan was covered and placed into a differential scanning colorimeter (PerkinElmer DSC 8500, Intercooler II, Pyris Data Analysis software)62. The heat flux method was used to situate both reference and sample pans within the same furnace with integrated temperature sensors for temperature measurement. A total number of two ramps were used to create a consistent curve. Sample methods performed a repeated ramp from − 20 °C to 180 °C at a rate of 20 °C per min. Each beginning and end point was held for 1 min to account for temperature lag.
To evaluate the biocomposite’s CO2 uptake performance, the samples were prepared and tested in the same manner as our previous study31. Dried and autoclaved loofah were cut into strips of approximately 1 × 1 × 5 cm and weighed. Six hundred microlitres of the two best performing biocoatings for each cyanobacteria strain were pipetted onto one end of each loofah strip, covering approximately 1 × 1 × 3 cm and dried at 20 °C for 24 h in darkness. Due to the macroporous structure of the loofah, some of the formulation was lost as waste; hence cell loading efficiency was not 100%. To overcome this, the mass of dried formulation on the loofah was determined and normalized with a reference dried formulation. Abiotic controls were similarly prepared, consisting of loofah, latex and sterile growth medium.
To set up the semi-batch CO2 absorption tests, the biocomposites were placed (n = 3) into 50 mL glass bottles with one end of the biocomposite (without biocoatings) contacted with 5 mL of growth medium allowing nutrient delivery via capillary action. The bottles were sealed with 20 mm butyl rubber stoppers and crimped using silver aluminium caps. After sealing, 45 mL of 5% CO2/air gas mixture was injected with a sterile needle attached to an air-tight syringe. Suspension controls (n = 3) were established with a cell density equivalent to the cell loading within the biocomposite in the growth medium. The tests were conducted at 18 ± 2 °C with a 16:8 light:dark photoperiod at 30.5 μmol m−2 s−1. The headspace was removed every two days with an air-tight syringe and analyzed using a GEOTech G100 infrared absorption CO2 meter to determine the percentage of CO2 absorbed. The equivalent volume of CO2 gas mixture was replenished.
The % CO2 fixed was calculated as: %CO2 fixed = 5% (v/v)—%CO2 recorded (Eq. 2), where P = pressure, V = volume, T = temperature and R = ideal gas constant.
The CO2 absorption rates reported for the cyanobacteria suspension controls and the biocomposites were normalized against the abiotic controls. The functional unit of g biomass is the amount of dried biomass immobilized onto the loofah. It was determined by weighing the loofah sample before and after cell immobilization. The mass of the cell loading (which is equivalent to biomass) was considered by separately weighing the formulation before and after drying and by calculating the density of the cell formulation (Eq. 3). It was assumed that the cell formulation was uniform during the immobilization.
Minitab 18 and Microsoft Excel with RealStatistics Add-in were used for statistical analyses. Normality was tested with the Anderson–Darling test, and equality of variance tested using the Levene’s test. Data that met these assumptions were analyzed using two-way analysis of variance (ANOVA) with Tukey’s test as a post-hoc analysis. Two factor data that did not meet the assumptions of normality and equality of variance were analyzed using the Scheirer-Ray-Hare test, followed by the Mann–Whitney U test to identify significance between treatments. Generalized Linear Mixed (GLM) models were used for non-normal data with three factors, in which the data were transformed using a Johnson transformation63. Pearson’s product-moment correlations were conducted to assess relationships between Texanol concentration, glass transition temperature, and latex toxicity and adhesion data.
The content supplied in the supporting information file consists of methods of cyanobacteria cultivation, toxicity and cell adhesion tests, photosynthesis analysis, loofah preparation, biocomposite microstructure analysis and total carbohydrate extraction. Figures S1, S2, and S3 represent results of latex characterization and Fig. S4 is the total carbohydrate content extracted from Synechococcus elongatus biocomposites during the semi-batch CO2 absorption tests compared with suspension culture controls.
The data that support the findings of this study are available from the corresponding authors upon reasonable request.
Rogelj, J. et al. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty (2018).
Huang, X., Zhang, H. & Zhang, X. Decarbonising electricity systems in major cities through renewable cooperation – A case study of Beijing and Zhangjiakou. Energy 190, 116444. https://doi.org/10.1016/j.energy.2019.116444 (2020).
Article  Google Scholar 
Siriwardana, M. & Nong, D. Nationally determined contributions (NDCs) to decarbonise the world: A transitional impact evaluation. Energy Econ. 97, 105184. https://doi.org/10.1016/j.eneco.2021.105184 (2021).
Article  Google Scholar 
Hanna, R., Abdulla, A., Xu, Y. & Victor, D. G. Emergency deployment of direct air capture as a response to the climate crisis. Nat. Commun. 12, 368. https://doi.org/10.1038/s41467-020-20437-0 (2021).
Article  CAS  PubMed  PubMed Central  Google Scholar 
Wilberforce, T., Olabi, A. G., Sayed, E. T., Elsaid, K. & Abdelkareem, M. A. Progress in carbon capture technologies. Sci. Total Environ. 761, 143203. https://doi.org/10.1016/j.scitotenv.2020.143203 (2021).
Article  ADS  CAS  PubMed  Google Scholar 
Harper, A. B. et al. Land-use emissions play a critical role in land-based mitigation for Paris climate targets. Nat. Commun. 9, 2938. https://doi.org/10.1038/s41467-018-05340-z (2018).
Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 
Wang, S. et al. Recent global decline of CO2 fertilization effects on vegetation photosynthesis. Science 370, 1295–1300. https://doi.org/10.1126/science.abb7772 (2020).
Article  ADS  CAS  PubMed  Google Scholar 
UKRI. UK Invests Over £30m in Large-Scale Greenhouse Gas Removal, https://www.ukri.org/news/uk-invests-over-30m-in-large-scale-greenhouse-gas-removal/?utm_medium=email&utm_source=govdelivery (2021).
The Royal Society and Royal Academy of Engineering. Greenhouse Gas Removal. Report No. 978-1-78252–349–9, (Royal Society and Royal Academy of Engineering, 2018).
Choi, Y. Y., Patel, A. K., Hong, M. E., Chang, W. S. & Sim, S. J. Microalgae bioenergy with carbon capture and storage (BECCS): An emerging sustainable bioprocess for reduced CO2 emission and biofuel production. Bioresour. Technol. Rep. 7, 100270. https://doi.org/10.1016/j.biteb.2019.100270 (2019).
Article  Google Scholar 
Field, C. B., Behrenfeld, M. J., Randerson, J. T. & Falkowski, P. Primary production of the biosphere: Integrating terrestrial and oceanic components. Science 281, 237–240. https://doi.org/10.1126/science.281.5374.237 (1998).
Article  ADS  CAS  PubMed  Google Scholar 
Ligrone, R. Biological Innovations that Built the World: A Four-Billion-Year Journey Through Life and Earth History 490 (Springer, 2019).
Book  Google Scholar 
Jansson, C. & Northen, T. Calcifying cyanobacteria—the potential of biomineralization for carbon capture and storage. Curr. Opin. Biotechnol. 21, 365–371. https://doi.org/10.1016/j.copbio.2010.03.017 (2010).
Article  CAS  PubMed  Google Scholar 
Ullah, K. et al. Assessing the potential of algal biomass opportunities for bioenergy industry: A review. Fuel 143, 414–423. https://doi.org/10.1016/j.fuel.2014.10.064 (2015).
Article  CAS  Google Scholar 
Seyed Hosseini, N., Shang, H. & Scott, J. A. Biosequestration of industrial off-gas CO2 for enhanced lipid productivity in open microalgae cultivation systems. Renew. Sustain. Energy Rev. 92, 458–469. https://doi.org/10.1016/j.rser.2018.04.086 (2018).
Article  CAS  Google Scholar 
Ho, S.-H., Chen, C.-Y., Lee, D.-J. & Chang, J.-S. Perspectives on microalgal CO2-emission mitigation systems — A review. Biotechnol. Adv. 29, 189–198. https://doi.org/10.1016/j.biotechadv.2010.11.001 (2011).
Article  CAS  PubMed  Google Scholar 
Mantzorou, A. & Ververidis, F. Microalgal biofilms: A further step over current microalgal cultivation techniques. Sci. Total Environ. 651, 3187–3201. https://doi.org/10.1016/j.scitotenv.2018.09.355 (2019).
Article  ADS  CAS  PubMed  Google Scholar 
Watkinson, S., Boddy, L. & Money, N. in The Fungi: 3rd Edition Ch. 7, 466 (Academic Press, 2015).
Flickinger, M. C. et al. Biocoatings: Challenges to expanding the functionality of waterborne latex coatings by incorporating concentrated living microorganisms. J. Coat. Technol. 14, 791–808. https://doi.org/10.1007/s11998-017-9933-6 (2017).
Article  CAS  Google Scholar 
Cortez, S., Nicolau, A., Flickinger, M. C. & Mota, M. Biocoatings: A new challenge for environmental biotechnology. Biochem. Eng. J. 121, 25–37. https://doi.org/10.1016/j.bej.2017.01.004 (2017).
Article  CAS  Google Scholar 
Bernal, O. I., Mooney, C. B. & Flickinger, M. C. Specific photosynthetic rate enhancement by cyanobacteria coated onto paper enables engineering of highly reactive cellular biocomposite “leaves”. Biotechnol. Bioeng. 111, 1993–2008. https://doi.org/10.1002/bit.25280 (2014).
Article  CAS  PubMed  Google Scholar 
Flickinger, M. C., Schottel, J. L., Bond, D. R., Aksan, A. & Scriven, L. E. Painting and printing living bacteria: Engineering nanoporous biocatalytic coatings to preserve microbial viability and intensify reactivity. Biotechnol. Prog. 23, 2–17. https://doi.org/10.1021/bp060347r (2007).
Article  CAS  PubMed  Google Scholar 
Jenkins, J. S., Flickinger, M. C. & Velev, O. D. Engineering cellular photocomposite materials using convective assembly. Materials (Basel) 6, 1803–1825. https://doi.org/10.3390/ma6051803 (2013).
Article  ADS  CAS  Google Scholar 
Piskorska, M. et al. Preservation of H2 production activity in nanoporous latex coatings of Rhodopseudomonas palustris CGA009 during dry storage at ambient temperatures. Microb. Biotechnol. 6, 515–525. https://doi.org/10.1111/1751-7915.12032 (2013).
Article  CAS  PubMed  PubMed Central  Google Scholar 
Gosse, J. L., Engel, B. J., Hui, J. C., Harwood, C. S. & Flickinger, M. C. Progress toward a biomimetic leaf: 4000 h of hydrogen production by coating-stabilized nongrowing photosynthetic Rhodopseudomonas palustris. Biotechnol. Prog. 26, 907–918. https://doi.org/10.1002/btpr.406 (2010).
Article  CAS  PubMed  Google Scholar 
Chen, Y. et al. Introducing porosity in colloidal biocoatings to increase bacterial viability. Biomacromol 21, 4545–4558. https://doi.org/10.1021/acs.biomac.0c00649 (2020).
Article  CAS  Google Scholar 
Berber, H. Emulsion polymerization: effects of polymerization variables on the properties of vinyl acetate based emulsion polymers. In Polymer Science Ch. Chapter 2, (2013).
Harkins, W. D. A general theory of the mechanism of emulsion polymerization. J. Am. Chem. Soc. 69, 1428–1444. https://doi.org/10.1021/ja01198a053 (1947).
Article  CAS  PubMed  Google Scholar 
Steward, P. A., Hearn, J. & Wilkinson, M. C. An overview of polymer latex film formation and properties. Adv. Colloid Interface Sci. 86, 195–267 (2000).
Article  CAS  PubMed  Google Scholar 
Anderson, C. D. & Daniels, E. S. Emulsion Polymerisation and Latex Applications Vol. 14, 0889–3144 (Rapra Publishing, 2003).
Google Scholar 
In-na, P. et al. Loofah-based microalgae and cyanobacteria biocomposites for intensifying carbon dioxide capture. J. CO2 Util. 42, 101348. https://doi.org/10.1016/j.jcou.2020.101348 (2020).
Article  CAS  Google Scholar 
Cushman, J. R. et al. Ecotoxicity hazard assessment of styrene. Ecotoxicol. Environ. Saf. 37, 173–180 (1997).
Article  CAS  PubMed  Google Scholar 
Rocha, A. C., Reis-Henriques, M. A., Galhano, V., Ferreira, M. & Guimaraes, L. Toxicity of seven priority hazardous and noxious substances (HNSs) to marine organisms: Current status, knowledge gaps and recommendations for future research. Sci. Total Environ. 542, 728–749. https://doi.org/10.1016/j.scitotenv.2015.10.049 (2016).
Article  ADS  CAS  PubMed  Google Scholar 
Ebnesajjad, S. Introduction to plastics. In Chemical Resistance of Commodity Thermoplastics xiii-xxv (2016).
Young, R. J. & Lovell, P. A. Introduction to Polymers 2nd edn. (CRC Press, 1992).
Book  Google Scholar 
Zohrehvand, S. & Nijenhuis, K. T. Film formation from monodisperse acrylic latices, Part 4: The role of coalescing agents in the film formation process. Colloid Polym. Sci. 283, 1305–1312. https://doi.org/10.1007/s00396-005-1333-2 (2005).
Article  CAS  Google Scholar 
Corsi, R. L. & Lin, C.-C. Emissions of 2,2,4-trimethyl-1,3-pentanediol monoisobutyrate (TMPD-MIB) from latex paint: a critical review. Crit. Rev. Environ. Sci. Technol. 39, 1052–1080. https://doi.org/10.1080/10643380801977925 (2009).
Article  CAS  Google Scholar 
Besseling, E., Wang, B., Lurling, M. & Koelmans, A. A. Nanoplastic affects growth of S. obliquus and reproduction of D. magna. Environ. Sci. Technol. 48, 12336–12343. https://doi.org/10.1021/es503001d (2014).
Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 
Bhattacharya, P., Lin, S., Turner, J. P. & Ke, P. C. Physical adsorption of charged plastic nanoparticles affects algal photosynthesis. J. Phys. Chem. 114, 16556–16561. https://doi.org/10.1021/jp1054759 (2010).
Article  CAS  Google Scholar 
Hazeem, L. J. et al. Investigation of the toxic effects of different polystyrene micro-and nanoplastics on microalgae Chlorella vulgaris by analysis of cell viability, pigment content, oxidative stress and ultrastructural changes. Mar. Pollut. Bull. 156, 111278–111288. https://doi.org/10.1016/j.marpolbul.2020.111278 (2020).
Article  CAS  PubMed  Google Scholar 
Feng, L.-J. et al. Short-term exposure to positively charged polystyrene nanoparticles causes oxidative stress and membrane destruction in cyanobacteria. Environ. Sci. Nano 6, 3072–3079. https://doi.org/10.1039/c9en00807a (2019).
Article  CAS  Google Scholar 
Beer, S. et al. Measuring photosynthetic rates in seagrasses by pulse amplitude modulated (PAM) fluorometry. Mar. Ecol. Prog. Ser. 174, 293–300. https://doi.org/10.3354/meps174293 (1998).
Article  ADS  CAS  Google Scholar 
Sauer, J., Schreiber, U., Schmid, R., Volker, U. & Forchhammer, K. Nitrogen starvation-induced chlorosis in Synechococcus PCC 7942. Low-level photosynthesis as a mechanism of long-term survival. Plant Physiol. 126, 233–243. https://doi.org/10.1104/pp.126.1.233 (2001).
Article  CAS  PubMed  PubMed Central  Google Scholar 
Elizalde, L. E., Mendoza, J. J., Ledezma-Rodríguez, R., Treviño, M. E. & Mondragon, M. Synthesis of butyl acrylate–styrene–TMI latexes and their application as water-based coatings. J. Coat. Technol. 17, 911–919. https://doi.org/10.1007/s11998-020-00325-4 (2020).
Article  CAS  Google Scholar 
Reyes-Mercado, Y., Vázquez, F., Rodríguez-Gómez, F. J. & Duda, Y. Effect of the acrylic acid content on the permeability and water uptake of poly(styrene-co-butyl acrylate) latex films. Colloid Polym. Sci. 286, 603–609. https://doi.org/10.1007/s00396-008-1838-6 (2008).
Article  CAS  Google Scholar 
Ekins-Coward, T. et al. A microalgae biocomposite-integrated spinning disk bioreactor (SDBR): Toward a scalable engineering approach for bioprocess intensification in light-driven CO2 absorption applications. Ind. Eng. Chem. Res. 58, 5936–5949. https://doi.org/10.1021/acs.iecr.8b05487 (2019).
Article  CAS  Google Scholar 
Depraetere, O. et al. Trade-off between growth and carbohydrate accumulation in nutrient-limited Arthrospira sp. PCC 8005 studied by integrating transcriptomic and proteomic approaches. PLoS ONE 10, e0132461. https://doi.org/10.1371/journal.pone.0132461 (2015).
Article  CAS  PubMed  PubMed Central  Google Scholar 
Philippis, D. R., Sili, C. & Vincenzini, M. Glycogen and poly-β-hydroxybutyrate synthesis in Spirulina maxima. J. Gen. Microbiol. 138, 1623–1628 (1992).
Article  Google Scholar 
Mollers, K. B., Cannella, D., Jorgensen, H. & Frigaard, N. U. Cyanobacterial biomass as carbohydrate and nutrient feedstock for bioethanol production by yeast fermentation. Biotechnol. Biofuels 7, 64. https://doi.org/10.1186/1754-6834-7-64 (2014).
Article  CAS  PubMed  PubMed Central  Google Scholar 
Sassano, C. E. N. et al. Evaluation of the composition of continuously-cultivated Arthrospira (Spirulina) platensis using ammonium chloride as nitrogen source. Biomass Bioenergy 34, 1732–1738. https://doi.org/10.1016/j.biombioe.2010.07.002 (2010).
Article  CAS  Google Scholar 
Aikawa, S. et al. Glycogen production for biofuels by the euryhaline cyanobacteria Synechococcus sp. strain PCC 7002 from an oceanic environment. Biotechnol. Biofuels. 7, 1–8. https://doi.org/10.1186/1754-6834-7-88 (2014).
Article  CAS  Google Scholar 
Waldrop, M. M. Core concept: Bioplastics offer carbon-cutting advantages but are no panacea. Proc. Natl. Acad. Sci. 118, e2103183118. https://doi.org/10.1073/pnas.2103183118 (2021).
Article  CAS  PubMed  PubMed Central  Google Scholar 
Luderer, G. et al. Residual fossil CO2 emissions in 1.5–2 °C pathways. Nat. Clim. Chang. 8, 626–633. https://doi.org/10.1038/s41558-018-0198-6 (2018).
Article  ADS  CAS  Google Scholar 
Ghannoum, O., Caemmerer, S. V., Ziska, L. H. & Conroy, J. P. The growth response of C4 plants to rising atmospheric CO2 partial pressure: A reassessment. Plant Cell Environ. 23, 931–942. https://doi.org/10.1046/j.1365-3040.2000.00609.x (2000).
Article  CAS  Google Scholar 
Kupriyanova, E. V. et al. CO2-concentrating mechanism in cyanobacterial photosynthesis: Organization, physiological role, and evolutionary origin. Photosynth. Res. 117, 133–146. https://doi.org/10.1007/s11120-013-9860-z (2013).
Article  CAS  PubMed  Google Scholar 
In-na, P., Byrne, F., Caldwell, G. S. & Lee, J. G. M. Techno-economic analysis of living biocomposites for carbon capture from breweries. Algal Res. 66, 102781 (2022).
Article  Google Scholar 
Reynhout, X. E. E., Beckers, M., Meuldijk, J. & Drinkenburg, B. A. H. Electrosteric stability of styrene/acrylic acid copolymer latices under emulsion polymerization reaction conditions. J. Polym. Sci. Part A-1 Polym. Chem. 43, 726–732. https://doi.org/10.1002/pola.20547 (2005).
Article  CAS  Google Scholar 
Wang, Y. & Chen, Z. The properties of solvent-based and water-borne butyl acrylate/styrene copolymer films. Adv. Polym. Technol. 1–10, 2019. https://doi.org/10.1155/2019/4261691 (2019).
Article  CAS  Google Scholar 
El-hoshoudy, A. N. M. B. Emulsion Polymerization Mechanism. In Recent Research in Polymerization Ch. Chapter 1, (2018).
Lin, C. C. & Corsi, R. L. Texanol ester alcohol emissions from latex paints: Temporal variations and multi-component recoveries. Atmos. Environ. 41, 3225–3234. https://doi.org/10.1016/j.atmosenv.2006.07.057 (2007).
Article  ADS  CAS  Google Scholar 
Meyers, R. A. Encyclopedia of Sustainability Science and Technology (Springer, New York, 2012).
Book  Google Scholar 
Koshy, O., Subramanian, L. & Thomas, S. Differential scanning calorimetry in nanoscience and nanotechnology. In Thermal and Rheological Measurement Techniques for Nanomaterials Characterization 109–122 (Elsevier, 2017).
Chapter  Google Scholar 
Smith, M. J. Statistical Analysis Handbook 2018th edn. (The Winchelsea Press, 2018).
Google Scholar 
Download references
We thank Tracey Davey, Peter McParlin, Charlotte Anderson and Fabio Trezzi for technical assistance, and Dr Juan Nogales for the donation of S. elongatus PCC 7942. We acknowledge Solvay for their continued support of our research and for provision of Rhodaplex AB/20.
PI was supported by an International Postgraduate Scholarship (Reference Number: 400345497) from the School of Engineering, Newcastle University. JP and ES were supported by the Engineering and Physical Sciences Research Council, EPSRC (EP/R020957/1).
Pichaya In-na
Present address: Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
School of Engineering, Newcastle University, Merz Court, Claremont Road, Newcastle upon Tyne, NE1 7RU, UK
Pichaya In-na & Jonathan G. M. Lee
Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK
Elliot B. Sharp, Matthew G. Unthank & Justin J. Perry
School of Natural and Environmental Sciences, Newcastle University, Ridley Building, Claremont Road, Newcastle upon Tyne, NE1 7RU, UK
Gary S. Caldwell
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
The study was originally conceived by P.I., G.S.C. and J.G.M.L., and extended by E.S., M.G.U. and J.P. Data were collected and analyzed by P.I. and E.S. and interpreted by all authors. The draft manuscript was written by PI and GSC and further developed by E.S., M.G.U., J.P. and J.G.M.L. All authors have given approval to the final version of the manuscript.
Correspondence to Jonathan G. M. Lee.
The authors declare no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Reprints and Permissions
In-na, P., Sharp, E.B., Caldwell, G.S. et al. Engineered living photosynthetic biocomposites for intensified biological carbon capture. Sci Rep 12, 18735 (2022). https://doi.org/10.1038/s41598-022-21686-3
Download citation
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-022-21686-3
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative
Topics in Catalysis (2023)
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.
Advertisement
Scientific Reports (Sci Rep) ISSN 2045-2322 (online)
© 2023 Springer Nature Limited
Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

source

Leave a Reply

Your email address will not be published.

*