Abstract
Bacterial cellulose (BC), a promising polysaccharide of microbial origin, is usually produced through synthetic (chemically defined) or natural media comprising of various environmental wastes (with exact composition unknown), through low-cost and readily available means. Various agricultural, industrial, and food processing wastes have been explored for sustainable BC production. Both conventional (using one variable at a time) and statistical approaches have been used for BC optimization, either during the static fermentation to obtain BC membranes (pellicle) or agitated fermentation that yields suspended fibers (pellets). Multiple studies have addressed BC production, however, the strategies applied in utilizing various wastes for BC production have not been fully covered. The present study reviews the nutritional requirements for maximal BC production including different optimization strategies for the cultivation conditions. Furthermore, commonly-used applications of BC, in various fields, including recent developments, and our current understanding have also been summarized.
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Introduction
The growing environmental challenges and the human race has been facing since the last few decades have made implementation of efficient and sustainable eco-friendly products, absolutely imperative (Kardung et al. 2021; Witek and Kuźniar 2021). Bacterial cellulose (BC), among other cellulose sources, meets the required eligibility for green applications (Urbina et al. 2021a). Unlike plant cellulose, BC is produced as an extracellular polymer, which facilitates its extraction in high purity, completely free from lignin and hemicellulose (Betlej et al. 2021). BC polymer is also characterized by its high degree of polymerization and crystallinity with a unique fiber network in the micro or nano-size, which increases its surface to volume ratio, a unique feature over other cellulose sources (Zhong 2020). These salient properties qualify BC for several applications in various medical (Seddiqi et al. 2021; Swingler et al. 2021), environmental (de Medeiros et al. 2021; Saleh et al. 2021), and industrial sectors (Lin et al. 2020).
BC production depends mainly upon the availability of the nutritional components of the production medium, especially carbon (Fernandes et al. 2020). Different carbon sources and cultivation media have been screened and reported, however, Hestrin–Schramm (HS) medium remains the most commonly used for BC production (Lu et al. 2020). The high production cost attributed to the medium (30% of the total cost) represents a major challenge for fulfilling the commercial manufacturing requirements (Fernandes et al. 2020; Rahman et al. 2021). In recent decades, the implementation of the agro/industrial wastes for sustainable BC production represent a promising cost-effective alternative for the current applied media (Raiszadeh et al. 2020; Saleh et al. 2021). On the other hand, BC producing organism, is another important element regarding commercial production. Till date, Gluconacetobacter xylinus is the model producer for the BC at the commercial levels (Aswini et al. 2020; Wang et al. 2019). The high production capacity of this organism is attributed to the multiple copies of BC synthesis genes in its genome (Lu et al. 2020). Research for novel BC producers in different niches, in addition to deeper studies at the molecular level for BC production pathway continues toward improving the production titer.
Controlling and optimizing the production conditions and media also improves the yield and reduces production costs (Rahman et al. 2021). The one-variable at a time (OVAT) approach is the most applied strategy for BC production optimization (Alemam et al. 2021; Bera et al. 2021). Due to the intensive labor and high cost involved in this strategy, more attention, in recent times, has been directed toward the implementation of statistical numerical designs as a more reliable and cost-effective alternative for BC production optimization (Bagewadi et al. 2020; Singh et al. 2017). The scope of this review is to discuss the current advances in BC production, the application of different agro/industrial wastes as alternative media for sustainable BC production, process optimization, and its applications in various medical and industrial fields also discusses.
Nutritional requirements for bacterial cellulose production
BC yield depends mainly on the availability and quality of the carbon sources on the production medium (Fernandes et al. 2020; Gullo et al. 2019). Various simple and complex carbon sources through different organisms, including glucose, fructose, sucrose, mannitol, starch, and glycerol have been used for BC production (Lu et al. 2020; Mikkelsen et al. 2009Rangaswamy et al. 2015). Many studies have reported that, ethanol indirectly influences the enzymes involved in the BC synthesis pathway (glucokinase and fructokinase) thereby improving ATP yield (Andriani et al. 2020; Fernandes et al. 2020; Jacek et al. 2021). Ethanol also diminishes the spontaneous mutation rate of BC producing strain in agitating culture (Buldum et al. 2018; Son et al. 2001). Li et al., signified the role of ethanol supplementation in the reduction of glycerol formation (main by-product) during BC production (Li et al. 2012). Though BC production is a growth-dependent process (Singhania et al. 2021), some nutritional sources could support bacterial growth without any BC production (Aswini et al. 2020). The impact of the carbon source types on the final quality and crystallization of the BC is not fully determined; some studies have reported the direct impact of various nutritional sources on the final BC production and quality (Mohammadkazemi et al. 2015; Ruka et al. 2012), while others have reported the opposite (Aswini et al. 2020; Mikkelsen et al. 2009; Saleh et al. 2021).
The independent synthesis of BC, regardless of the carbon substrate, may be attributed to the ability of the producing organism to synthesize glucose from various carbohydrate sources, followed by polymerization to cellulose (Aswini et al. 2020; Rangaswamy et al. 2015). A suitable nitrogen source is also crucial for maximum BC production (Lahiri et al. 2021). The production of BC is commonly supported with complex organic nitrogen sources such as yeast extract (Aswini et al. 2020), peptone (Rangaswamy et al. 2015), casein hydrolysate with peptone (Lahiri et al. 2021), and soybean molasses (Souza et al. 2020), contrary to inorganic nitrogen that usually retards the bacterial growth and hence inhibits the BC production (Aswini et al. 2020). Determination of optimum nitrogen source for maximum BC production is influenced by the organism type as well as the carbon source. Lahiri et al. reported maximum BC production by Acetobacter xylinum using casein hydrolysate with sucrose, while peptone was the most effective nitrogen source in presence of mannitol (Lahiri et al. 2021). Recently, more attention has been directed toward the implementation of agricultural and industrial-waste products as alternative cost-effective carbon/nitrogen sources (Ogrizek et al. 2021; Saleh et al. 2021; Singh et al. 2017). Several by-products successfully applied for cost-effective BC production included: a 50:50 mixture of date syrup and cheese whey (Raiszadeh et al. 2020), sugar beet molasses and cheese whey (Salari et al. 2019), and starchy kitchen wastes (Saleh et al. 2021).
Numerous additives have been screened and evaluated regarding their effect on BC production including, vitamins, minerals, and water-soluble polymers. Ascorbic acid (vitamin C) supplementation to the BC production media was investigated through many reports (Cielecka et al. 2021; Raiszadeh et al. 2020). Enhancement in BC production (one fold increase) from four isolates of Gluconacetobacter xylinus through ascorbic acid (0.5% w/w) supplementation in the production medium was previously reported, due to reduction in by-product concentration (gluconic acid) in the production medium (Keshk 2014). Water-soluble polymers including agar, alginate, and carboxymethyl cellulose (CMC) also play an important role in BC production by avoiding clum** and coagulation of BC (Cheng et al. 2009). In the same context, Aswini and his colleagues reported an increase in the BC production through the addition of polyethylene glycol-6000 to the production medium (Aswini et al. 2020).
Bacterial cellulose from a low-cost media
Culture or growth medium is a liquid or solid substrate, containing nutritive components for growth of microorganisms, cells, or small plants. Culture media are classified into two major subtypes based on their composition and application: defined (synthetic) media and undefined (natural) media (Fan et al. 2014; Meenakshi 2013). Defined media has known chemical compositions and concentrations, like Hestrin and Schramm (HS) media which used for the cultivation of the BC-producing bacteria is expensive and requires additional resources like glucose, peptone, yeast extract, ethanol, etc. (Ayed et al. 2017; Hestrin and Schramm 1954). The undefined media, on the other hand, depend on the use of natural sources without a specific chemical composition and is characterized as the unknown composition of the media, like pineapple peel, sugar beet molasses, etc. used for BC biosynthesis (Revin et al. 2021; Santoso et al. 2021).
BC production process is costly, owing to the low productivity of known strains and the use of extremely expensive fermentation medium (defined media). For BC production, where the defined medium represents around 30% of the total cost, this high expense becomes an obstacle for expanding into large scale production and further applications (Jozala et al. 2016). As a result, the major challenge of the fermentation process is the identifying of new effective and low-cost culture media that can promote a high yield within a short cultivation time. This can be obtained from various sources such as agriculture, industrial and food processing wastes (Table 1), and include low-price organic waste products that are easily available in high quantities (undefined media). Using these wastes as media effectively remove the wastes from the environment and reduces pollution associated with industrial waste disposal (Castro et al. 2011; Fan et al. 2016).
Various studies have recently focused on using alternative, natural and effective nutritional sources like agricultural, industral and food processing wastes as a carbon source in order to reduce the cost of BC biosynthesis. Spruce hydrolysate (Guo et al. 2013), wood hot water extracts (Kiziltas et al. 2015), pineapple agro industrial residues (Algar et al. 2015), citrus juices (Andritsou et al. 2018), rotten fruit (Hungund et al. 2013; Jozala et al. 2015), cotton-based waste textiles (Hong et al. 2012), beet and sugar cane molasses (Cakar et al. 2014), food processing waste (Saleh et al. 2021; Suwanposri et al. 2014), wine fermentation waste broth (Ogrizek et al. 2021; Wu and Liu 2012), waste water of candied jujube-processing industry (Li et al. 2015a, b),waste and by-product streams from biodiesel and confectionery industries (Tsouko et al. 2015), acetone-butanol-ethanol fermentation wastewater (Huang et al. 2020; Esa et al. 2014). Hence, medium pH control during BC production is very important as any pH below 4 does not support BC production at all (Klemm et al. 2001). Additionally, the applied carbon source has a direct influence on the optimum pH for BC production. It was reported that when bacteria were cultured on glucose, the optimal initial pH was 5.5. However, when mannitol was applied, the optimal pH was raised to 6.5 (Hutchens et al. 2007).
Surface to volume ratio (S/V ratio) represents another important parameter influencing BC yield especially under the static production conditions (Kumar et al. 2021). S/V ratio has a direct influence on the aeration level in the production medium. At static cultivation conditions, BC production usually takes place at a higher oxygen level in the liquid-surface interface, and hence increases the oxygenation level resulting in higher BC yield (Rodrigues et al. 2019). It was reported that the optimum level of S/V ratio for BC production is a strain-dependent trait and is crucial, since the higher/lower ratios drastically declined the BC membrane thickness and yield (Kumar et al. 2021). Various studies reported different S/V ratios for optimum BC production including 1.22 cm−1 (Aytekin A et al. 2016), 0.4 cm−1 (Rodrigues et al. 2019), and 0.22 cm−1 (Kumar et al. 2021), however, most of them consider the S/V ratio among the most significant variables for enhanced BC production at static condition.
Types of bacterial cellulose fermentation
There are two main models for BC fermentation using microorganisms: static and agitated fermentation. The application of BC depends on the type of fermentation, as well as, the physical, and mechanical features of the formed BC (Cacicedo et al. 2016).
Static fermentation
Static fermentation forms a thick and gel-like white BC pellicle at the air–liquid interface, thus limiting the oxygen (at the side of the pellicle exposed to media) and nutrient supply (at the upper aerobic zone of the pellicle) (Sharma et al. 2021). It requires a longer culture period, larger cultivation area and intensive manpower, thus resulting in low productivity (Kuo et al. 2016). Static fermentation is more suitable for the medical production of BC as wound dressing materials (Portela et al. 2019) or in dye removal (Saleh et al. 2021).
Agitated fermentation
Agitated fermentation, wherein the BC is synthesized in the fermentation medium as randomly distributed pellets or suspended fibers. The process has higher yield in lesser time but the shearing stress generated due to agitation causes the bacterial strain to revert to non-BC producing mutants (cele) thereby inhibiting the BC production. These mutants have a higher growth rate compared to the wild type, thus decreasing BC production even more (Sharma et al. 2021; Singhania et al. 2021). The agitated fermentation process is more suitable for the industrial production of BC and can be used for commercial applications in various fields. Moreover, mutations in the applied strains are more probable thus influencing BC production (Chawla et al. 2009; Tyagi and Suresh 2016).
Conventional and statistical optimization strategies for bacterial cellulose production
The relatively high production cost of the BC represents one of the major challenges facing its commercial implementation (Aswini et al. 2020; Fernandes et al. 2020). About 30% of BC production cost is attributed to the growth medium and cultivation conditions (Fernandes et al. 2020), therefore, besides mining for new superior BC producing organisms, reducing the production cost and time represent a step ahead for wide commercial applications (Fernandes et al. 2020; Jozala et al. 2015; Rahman et al. 2021). Two approaches were widely reported for improving the cultivation conditions and medium composition for BC production, including conventional and statistical optimization approaches. The conventional optimization approach depends upon the OVAT, wherever optimum conditions were elaborated through changing one variable while all other parameters are fixed. Once the optimum level of this variable is attained, another variable is evaluated in the same manner (Shojaei et al. 2021). The OVAT strategy is straight forward, and many studies rely on this strategy for optimizing different nutritional and physical parameters for BC production, as indicated in Table 2. Two fundamental drawbacks of the OVAT strategy include the long experimentation time and the strenuous labor (Abdel-Fattah et al. 2009). Furthermore, the OVAT strategy is incapable of elucidating the factor interactions and their consequences upon the final yield (Abdel-Fattah et al. 2009; Fernandes et al. 2020; Yousef et al. 2021).
The second optimization approach relies upon statistical mathematical designs. Unlike the OVAT method, in this approach multiple factors are evaluated simultaneously in one experiment (Singh et al. 2017). Besides, the data could be fitted in mathematical models, where the experimental results may be manipulated, analyzed and optimum expected (Bagewadi et al. 2020; Fernandes et al. 2020). The statistical optimization approach is a sequential process involving three main steps: (1) setting the range for studied variables and develo** the design matrix and model, (2) conducting the experiment in the laboratory, recording the process yield, fitting the results to the applied model, and expecting the optimum levels toward maximum productivity, and (3) validating computationally expected results to ensure the adequacy of the applied model in terms of the expected response (Das and Dewanjee 2018). Analysis of variance (ANOVA) and regression analysis are the most applied methods for evaluating the accuracy and significance of the results of the statistical designs (Rahul and Pretesh 2018; Shojaei et al. 2021).
The statistical designs could be categorized into screening and optimization designs. The screening design is usually applied to elucidate the impact of each studied variable upon the final process yield, assuming that variable interactions are neglected (Das and Dewanjee 2018). In this process, all studied variables are evaluated for their positive/negative effects on the process yield. The insignificant factors are excluded, to obtain a smaller controllable set of factors, which are likely to elicit optimal or nearly optimal responses. Plackett–Burman design (PBD) represents one of the widely applied screening designs that rely upon the first-order reaction model as follows\(: Y=A+{\sum }_{k=1}^{n}\mathrm{BX}\), where Y is the process response (dependent variable) and X is the studied factors (independent variable). Plackett–Burman design is a two-levels screening where the effect of each factor is evaluated between low settings, high one coded + 1, and low value coded -1 (Plackett and Burman 1946). In this design, up to N−1 factors could be screened with N trials, however, screening reasonable numbers of variables (between 12–20 variables) is more applicable, as with screening a large number of factors, a partial confounding between factors and factor interactions was reported which may lead into unreliable results (Kulahci and Bisgaard 2007).
Taguchi method (TM) is another statistical screening design that elucidates the effect of each factor at a lower cost and a better quality outcome (Shojaei et al. 2021). This design is based upon formulating the lowest amount of experiments (fraction of all factorial combinations) called orthogonal array, without affecting the product quality (Das et al. 2014). The orthogonal array guarantees that all factors are weighted equally, and the evaluation of the one-factor effect, within the experiment, does not influence the other factors implemented in the experiment (Das and Dewanjee 2018). Taguchi method involves two types of factors; controlled factors (under our control) called inner array and noise factors (can’t be controlled) called outer array (Malhotra and Chapadgaonkar 2020). In this design, the signal-to-noise (S/N) ratio was proposed to measure design results quality, where S is the targeted signal and N is the interfering noise. The S/N ratio is usually determined in two categories: larger-the-best, when maximizing the response is the target or smaller-the-best, in the opposite situation (El-Moslamy et al. 2017; Rahul and Pretesh 2018). Though the Taguchi method is a straightforward and cost-effective method for process optimization, it also revealed some limitations as the results are approximate, in addition, the design’s inability to specify the parameters influenced the highest effect on the process performance (Rahul and Pretesh 2018).
The second category includes optimization designs where the exact values of the most significant studied variable are determined to achieve the maximum desired responses. These statistical designs are three-or-more-level designs, where each variable is studied in three or more levels to ensure attending the real optimum conditions. Box–Behnken (BBD) and central composite design (CCD) are examples of the most applied ‘three-five level’ optimization designs (Table 2). Both belong to the response surface methodology (RSM) proposed by (Box and Behnken 1960), where the optimization results could be analyzed through surface plots (2 or 3 dimensional) representing the change in the response (Y), according to the applied parameters (X). The optimization designs rely upon polynomial quadratic models, where the nature of variable interactions and the implication of these on the process yield can also be elucidated (Rahman et al. 2021; Yousef et al. 2021). For any two studied variables, the quadratic polynomial model represents a second-order reaction as: Y = A + B1X1 + B2X2 + B12X1X2 + B11X12 + B22X22 where Y = process response, A = model intercept (represents the fitted response at the design’s center point), X1, X2 = studied variables, B1, B2= linear coefficients; B12 = cross-interaction coefficients; and B11, B22 = non-linear quadratic coefficients. Integration between OVAT method and statistical designs have recently become widely adopted by many authors as an effective strategy for medium optimization. In this, the variable under study is generally screened through the OVAT approach. The levels of the potent and most significant variables, defined in the previous step, are further optimized through statistical optimization designs (Table 2). Integration between the OVAT and statistical approaches could be useful in preliminary studies to determine the appropriate ranges for studied variables (Aswini et al. 2020; Bagewadi et al. 2020). There have been debates in the past regarding the accuracy of the screening designs (Kulahci and Bisgaard 2007) and their misleading results, especially when faced with a huge number of factors. This has influenced several authors to rely upon the OVAT strategy in variables screening despite the laborious effort and time involved (Aswini et al. 2020; Santoso et al. 2020).
Purification of bacterial cellulose
The BC obtained after fermentation is usually not pure, containing impurities like cells and medium components. Several purification methods have been applied by soaking BC for several days in water without any additives or heating (Li et al. 2020). In another study, BC and potato peel films loaded with the phenolic compound curcumin, used for food packaging showed an improvement in the tensile strength and noticeable reduction in the water vapor and oxygen permeability (**e et al. 2020).
Environmental applications
BC, a green bio-based material, being biodegradable and sustainable, conforms to the new environmental regulations. Accordingly, it is considered a promising alternative for current wastewater treatment technologies. Recent studies in our laboratory have shown that BC, loaded with charcoal or graphite compounds, has effectively removed cationic dyes such as methylene blue from contaminated water. When tested alone, BC membrane was able to clear 53% of methylene blue, while, this percentage improved to 98.7% and 100% when loaded with graphite and charcoal, respectively (Saleh et al. 2021). BC membrane has also been combined with polydopamine and TiO2 nanoparticles to improve the surface area and active sites to enhance the photocatalytic degradation of dyes (Yang et al. 2020). Studies have shown that BC can serve as a supporting material for the Cu and Ni nanoparticles, used for the reduction of 4-nitophenol, a hazardous pollutant in wastewater originating from dye, paper, and pharmaceutical industries (Song et al. 2020).
BC membranes have been combined with chelating agents or absorbent materials such as EDTA, magnetic nanoparticles, graphene oxide, and chitosan for the removal of toxic heavy metals, released to the environment due to industrial activities (ex. factories producing fertilizers, batteries, or tanneries) and causing toxicity to organisms including humans. Zhu and his colleagues have used spherical BC combined with Fe3O4 (Zhu et al. 2011) to remove heavy metal ions such as Cr3+, Mn2+, and Pb2+. BC has also proved a good efficiency template for the removal of other heavy metals from contaminated environments such as Sr, Pb, Sb, Cu, Cr, Fe, and As in other studies (Cheng et al. 2019; Hassan et al. 2019; Meng et al. 2019; Mensah et al. 2019; Stoica-Guzun et al. 2016) (Fig. 3).
Oil-contaminated wastewater from industrial activities have a potential hazard for marine life, local organisms, and humans. Sphere-like BC/graphene composite, exhibiting a honeycomb-like surface with 3D interconnected porous structure, showed a perfect ability to absorb oils and organic solvents from contaminated water (Wang et al. 2019). SiO2 functionalized BC membrane has shown a high separation efficiency in mixed water and oil emulsions with an oil recovery percentage of 88% (He et al. 2018; Hou et al. 2019). Galdino and his team also proved the feasibility of BC membrane as a filter for oil removal (Galdino Jr et al. 2020).
Electronic applications
Scientists have been searching for glass-alternative materials in electronic devices, that have transparency, flexibility and strength (Amorim et al. 2020). Recent studies reported the synthesis of cellulose nanofibers that are optically clear and can be used in electronic devices such as organic light-emitting diodes, antennas and transistors, flexible displays, and solar cells (Nogi et al. 2009; Zhu et al. 2014). The nanocellulose has also been successfully applied in the development of triboelectric nanogenerator which is known for its ability to convert mechanical energy into electric energy. With further enhancement in electronic technologies, there is now a need for electronic devices that can store energy without reducing their performance such as the biodegradable polymers that can replace the presently used, non-renewable resources (Kotatha et al. 2018). BC gel electrolyte coated with chitosan and alginate and containing 1-ethyl-3-methylimidazolium tetrafluoroborate was optimized for use in electric capacitors (Kotatha et al. 2018). BC/graphene nanosheets were coated on their surface with polyaniline to form an electrically conductive nanocomposite for successful use in electromagnetic shielding and flexible electrode materials (Wan et al. 2018). BC can also be used as the membranes of loudspeakers because it can maintain the speed and the frequency of sounds, and effectively respond to the sound power (Phruksaphithak et al. 2019; Shah et al. 2013) although at an escalated production cost.
Using BC as a base material in a real fractional-order element device was first reported by Caponetto and his team (Caponetto et al. 2019). These devices are used to approximate the fractional differential and integral equations in capacitors and inductor circuits. BC has also been incorporated with silver nanoparticles and polyaniline and used to fabricate a highly flexible ternary system, with a strong energy density, as an electrode for supercapacitors (Hosseini et al. 2019). In general, the characteristics of BC membranes allow them to be a promising candidate for use in electronics and optoelectronic devices. These electronic devices exploit flexibility, transparency, thermal stability, good mechanical performance, and surface morphology of BC (Urbina et al. 2021b). Other reported applications of BC are mentioned in Table 3.
Cosmetic applications
Scientists have identified cosmetics as materials that can enhance the physical appearance and visible aspects of a person, by incorporating these into vehicles that facilitate their skin penetration (Amorim et al. 2020). These cause enhancement of the skin, hair, nails, eyes, and face in order to promote attractiveness, cleansing and beatifying without any negative effects on the body structures of functions (Hasan et al. 2012). Multiple advantages of BC have supported its wide applications in the cosmetics field.
Recent cosmetic preparations are more inclined towards using natural products from botanical sources, to avoid using chemicals (ex. parabens) that may have side effects such as skin allergies (Darbre and Harvey 2008; Hasan et al. 2012). BC has been applied in cosmetics as a non-allergic biopolymer that has been extensively used to stabilize oil-in-water emulsions, without the need for addition of other skin irritating surfactants. A recent study has successfully prepared cosmetic creams of oil-in-water emulsions using BC and carboxymethyl cellulose that replaced two of the commonly used chemical surfactants (Martins et al. 2021). BC has also been used in facial masks and scrubs, cleansing formulations, and contact lenses (Ullah et al. 2016). BC is currently preferred over the botanical cellulose as it is more chemically pure lacking hemicellulose or lignin, has a higher crystalline structure, more porous, and has better water holding capacity with elevated tensile strength (Chawla et al. 2009; Jonas and Farah 1998; Klemm et al. 2001; Mbituyimana et al. 2021).
The general properties of BC in cosmetic field have been improved by the incorporation of other natural materials. For instance, propolis extract has been incorporated into BC films in order to increase its hydrating and anti-inflammatory properties especially for sheet masks used for the treatment and healing of skin prone to acne and inflammations (Amorim et al. 2020). BC has also been used for skin pigmentation through the transfer of 1,3-dihydroxy-2-propanone in the corneum extract causing skin color changes. This application showed an actual skin color that was considered as the closest to the effect of natural tan and can probably be applied as an alternative for patients suffering from vitiligo (Stasiak-Różańska and Płoska 2018). In another study, both in situ and ex situ methods were applied for the successful functionalization of BC with hyaluronic acid and silk sericin, to be used in cosmetic industry, for moisture retaining and improving skin texture (Wang et al. 2020).
In general, BC has many advantages that intensively support its participation in the cosmetics field. It has a high absorbance capacity that helps in retaining liquids nearly ten times more than nonwoven masks and hundred times more than its dry weight (Trovatti et al. 2012). Its thin thickness gives it more flexibility for good adhesion to irregular surfaces of the treated skin, thus allowing it to reach every contour, fine lines, and wrinkles of the face and other locations that traditional masks otherwise fail to reach (Wei et al. 2011). Moreover, its soft touch helps in supporting the skin through its hydration qualities (Bianchet et al. 2020). To further widen its application in the cosmetics field, further research needs to be done to add active components to BC, to enhance its anti-aging, cleansing, or whitening properties (Mbituyimana et al. 2021).
Current stand
Exploring alternative media originating from different environmental wastes is an imperative study for the cost-effective production of BC. Moreover, the determination of the optimized nutritional requirements and the cultivation conditions would enhance the quantity and quality of the produced BC, leading to its even wider applications. For example, suitable physico-mechanical properties, high water absorption capacity and tensile strength, good permeability, biocompatibility, and having randomly aligned nanometer-size distribution, all make BC suitable for wound dressing and tissue engineering purposes. BC also has a gelatinous consistency and a smooth texture in addition to having a strong network and barrier properties thereby making it a good candidate for food packaging applications. Being a green bio-based material, biodegradable, and sustainable, BC is a good choice for other environmental applications as well. BC can also be used in electronic devices, being transparent, flexible, strong and thereby a suitable glass-alternative material.
Present challenges and future prospects of bacterial cellulose research
In the last few years, integration modern molecular biology tools and different fermentation strategies has resulted in considerable improvement in the BC production, although some areas remain unexplored and hence demand deeper research. These include: (1) implementation of novel and low-cost wastes as alternative carbon/nitrogen substrates to diminish the fermentation cost and time and thereby enhance the BC yield, to fulfill the large- scale commercial production requirements, (2) exploring the Gram-positive bacteria and extremophiles for BC production along with BC produced from the commonly used Gram-negative strains. In this regard, application of modern gene-editing tools like CRISPR and metagenomics analysis of various strains could expand the profiles of BC-producers, (3) intensive research should be conducted in optimizing the cultivation conditions for BC production, such as the effect of oxygen tensions, especially at hyper and hypoxic conditions. In the same line, co-culturing is a recently applied technique for enhanced yield and requires further studies, and (4) expanding the scope of applying BC as a green and sustainable biopolymer to overcome the pressing environmental challenges.
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Ahmed K. Saleh: investigation, resources, writing original draft. Hamada El-Gendi: investigation, resources, writing original draft. Tarek H. Taha: investigation, resources, writing original draft. Julie Basu Ray: conceptualization, final review, editing. All authors read and approved the final review.
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El-Gendi, H., Taha, T.H., Ray, J.B. et al. Recent advances in bacterial cellulose: a low-cost effective production media, optimization strategies and applications. Cellulose 29, 7495–7533 (2022). https://doi.org/10.1007/s10570-022-04697-1
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DOI: https://doi.org/10.1007/s10570-022-04697-1