Biochemical Engineering Journal最新文献

Outdoor cultivation using natural sunlight efficiently produces valuable microalgal products, such as proteins, lipids, carbohydrates, and antioxidants but photoinhibition from intense sunlight must be minimized. This study explores the effect of varying simulated outdoor light intensity on Limnospira fusiformis growth and biochemical composition. Four light scenarios were tested to simulate varying outdoor light conditions: full sunlight (2000 µmol m⁻²s⁻¹), greenhouse (1700 µmol m⁻²s⁻¹), mid-day shade in a greenhouse (1400 µmol m⁻²s⁻¹), and whole-time shade in a greenhouse (1400 µmol m⁻²s⁻¹). Whole-time shade yielded the highest last-day dry weight (2.10 g L⁻¹), protein content (63.10 % ash-free dry weight), phycocyanin productivity (0.11 g L⁻¹d⁻¹), and lowest ash accumulation (11.00 %). High light intensity led to substantial carbohydrate accumulation, while protein synthesis and cell growth declined. This study is the first to report the correlation between high light-induced morphological changes with both protein and phycocyanin levels. Shading techniques enhanced biomass production and composition in Limnospira fusiformis. The observed improvements in protein content and phycocyanin productivity under specific light conditions demonstrate the potential for optimizing outdoor cultivation of indigenous microalgal strains, contributing to more efficient and sustainable production methods for industrial applications.

To explore the effects and mechanisms of long-lasting degradation of long-chain alkanes (C₂₅-C₃₀) in petroleum-contaminated soil, a solid iron catalyst prepared by adding different proportions of (5 % and 15 % (w/w)) chitosan (CS) was used for Fenton pre-oxidation experiment. Bioremediation experiments were performed for 100 days after pre-oxidation. The results indicated that the degradation for long-chain alkanes and Total Petroleum Hydrocarbons (TPH) were 76.95 % and 76.89 %, respectively. Furthermore, long-lasting degradation of long-chain alkanes was achieved by activating Bacillus-like microbes. In each biodegradation cycle, the long-chain alkanes degradation in the active control group increased by 77.39 mg/kg, 76.74 mg/kg, 36.88 mg/kg, and 76.51 mg/kg compared to the previous cycle. Besides, the half-life of long-chain alkanes was 131 days shorter in the active control group than in the inactive control group. Higher microbial enzyme activity for degrading long-chain alkanes was observed after Fenton pre-oxidation because the expression of alkane metabolism genes was activated by the high consumption of dissolved organic carbon. Finally, the dominant bacterial genera in the active control group shifted predominantly to Paenibacillus (13.26 %), Acinetobacter (8.02 %), and Microbacterium (17.64 %). Therefore, this study possesses significant engineering application value.

The inability of traditional pre-clinical cell culture and animal models to accurately replicate human diseases and drug toxicities leads to a significant halt in the advancement of effective treatment strategies, in addition to financial losses. This, combined with the rise in ethical concerns about animal welfare, highlights the need for alternative and more realistic representations of human physiology. Microfluidics-based multiorgan microphysiological systems present a promising avenue for studying human body homeostasis, and have the potential to revolutionize translational research by creating new opportunities to comprehend systemic diseases and develop personalized medicine. In this review, we describe important design and operational considerations for engineering microfluidic devices mimicking tissue/organ “cross-talk” for in vitro drug disposition and safety assessments, as well as in disease modeling. We conducted a meticulous analysis of relevant articles and calculated crucial parameters, like the Reynolds number and shear stress, to compare the operational characteristics of different microfluidic devices. Additionally, we provide the reader with perspectives on the current limitations, insights to address the pending issues, and describe future opportunities of these technologies in the clinical setting.

Genetic codon expansion has the potential to introduce a variety of unnatural amino acids to specific sites within target proteins. In this study, genetic codon expansion was employed to regulate the enzyme expression in metabolic pathways. Firstly, a purple protein from Actinia tenebrosa was selected as the candidate to be engineered. Bringing in UAG stop codon caused premature termination of translation, while expressing orthogonal aminoacyl-tRNA synthetase and tRNA from Methanococcus jannaschii restored translation at UAG site. However, leakage expression was observed without addition of unnatural amino acids, still it can be decreased by increasing numbers of UAG mutations. Subsequently, poly(lactate-co-3-hydroxyburyrate) [P(LA-3HB)] biosynthesis pathway was constructed in Escherichia coli, and propionyl-CoA transferase was mutated to harboring one or two more stop codons. With genetic codon expansion tools, the function of propionyl-CoA transferase was restored, promoting cells to synthesize P(LA-3HB) copolymer. Moreover, the lactate monomer content was regulated ranging from 0 to 33.42 mol% by altering the addition time of inducers. Finally, the strain accumulated 27.09 g/L P(25.1 mol% LA-3HB) in 5-L bioreactor cultivation. This is the first report on metabolic engineering of polyhydroxyalkanoate biosynthesis through genetic codon expansion and would provide helpful strategies to achieve dynamic regulation of multiple metabolic pathways.

Process intensification and media optimization, as a crucial step for improving productivity and manufacturing cost of goods (COG), set the stage for commercialization readiness and redefine the landscape for patient access. This study described a stepwise approach to explore different intensified fed-batch processes along with optimized cell culture media for the production of a Mabcalin™ bispecifics. Initially, by leveraging perfusion expansion, intensified fed-batch (IFB) with an inoculation density of 10.3 × 10⁶ cells/mL was developed to produce 6.1 g/L of products, compared to 3.9 g/L from the original traditional fed-batch (TFB). Following the IFB conversion, a high-performing production medium, MagniCHO™, was chosen to substitute the original one, which further boosted the titer to 9.1 g/L. The result underscored the significance of developing an optimized cell culture media for intensified cultivation. Furthermore, the approach of ultra-intensified intermittent-perfusion fed-batch was utilized, raising the seeding density to 73.6 × 10⁶ cells/mL. A final harvest titer of 24.5 g/L was recorded. Additionally, manufacturing COG was calculated to evaluate how process intensification could lead to improved manufacturing cost-effectiveness, with up to 71 % COG reduction attainable with the UI-IPFB process. This study demonstrated that even for difficult-to-express modalities, applying a strategic development approach including process intensification and media optimization could effectively improve manufacturing efficiency and COG competitiveness.

Rapid and accurate molecular diagnostics are crucial for disease diagnosis and precision medicine. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated (Cas) proteins have emerged as highly effective tools for molecular diagnostics. Numerous nucleic acid detection instruments and biosensors utilizing the CRISPR/Cas system have been developed. The profiling activity of CRISPR/Cas effectors has facilitated the creation of instrument-free, sensitive, precise, and rapid nucleic acid diagnostics. This review summarizes recent advancements in CRISPR technology for RNA detection, focusing on the application of Cas12 and Cas13 systems in two scenarios: in combination with isothermal amplification technology and without amplification. It also explores the significant potential of CRISPR as a next-generation technology for RNA detection and anticipates future developments. The ongoing advancements in CRISPR are expected to enhance precision and convenience in RNA testing, impacting both biomedical research and public health practices.

Linalool is one of the commercially important fragrance molecule usually extracted from Lavandula angustifolia (lavender) and Ocimum basilicum (basil) plants. In the present study, efforts were made to produce this molecule in microbial system to meet demand-supply imbalance. Linalool synthase (LIS) gene from Magnolia champaca (Mc) and Coriandrum sativum (Cs) were successfully cloned and expressed in Saccharomyces cerevisiae CEN PK2–1 C. It was observed that expression of full-length LIS (fLIS) resulted in lesser linalool when compared to truncated LIS (tLIS) devoid of plastid signal for both Mc and Cs. In terms of linalool yield, MctLIS resulted in 1.27-fold higher linalool when compared to CstLIS. Later, when two more genes viz., TPI1 and ALD6 which presumably increase sterol pathway flux were overexpressed, actually resulted in lower linalool and increased acetate production. However, multicopy expression of MctLIS and tHMG1 in this strain has reversed the above phenomenon due to presumptive push-pull strategy. Finally, this engineered strain was cultivated in the 2 L bioreactor in fed-batch mode to obtain 10.85 µg/mL of linalool. Docking studies of homology model of MctLIS with geranyl pyrophosophate (GPP) revealed V387, Y361, T434, R427 and R249 as key interactions sites. The study reports the linalool production using LIS gene from Magnolia champaca for the first time and could be a potential chassis for further studies.

Kluyveromyces marxianus is a yeast capable of fermenting sugars into ethanol and growing at high temperatures (>37ºC). However, it is less tolerant to ethanol than Saccharomyces cerevisiae, which limits its application in second-generation ethanol production. Since the mechanisms of ethanol stress response are still poorly described, especially compared to S. cerevisiae, we used an integrative multi-omics approach, combining transcriptomics, co-expression networks, gene regulation, and genome-scale metabolic modelling to gain insights about these mechanisms. Through metabolic modelling, we predicted the occurrence of a respiro-fermentative metabolism and its onset as the dilution rate increased. From gene co-expression networks, we detected that the protein quality control system is a main mechanism involved in the ethanol stress response. Further, we identified key regulators in the ethanol stress response, such as HAP3, MET4, and SNF2, and assessed how disturbances in their gene expression affect cellular metabolism. We also found that amino acid metabolism, membrane lipid metabolism, and ergosterol exhibit increased metabolic flux under the explored conditions, along with usage of enzymes related to these pathways. These findings provide useful cues to develop and implement genetic and metabolic engineering strategies to enhance ethanol tolerance and point for future research in stress responses of K. marxianus.

In this study, we used microorganisms and steel slag to reduce CO₂ emissions. The main objective is to investigate the influence and mechanisms of CO₂ fixation rate based on the composition of steel slag. In the absence of microorganisms, steel slag powders with higher C₂S content exhibit higher CO₂ fixation rate. The absolute content of C₂S decreases by 2.16–5.86 % and 3.43–14.21 % at 2 h and 48 h of carbon sequestration reaction, respectively. Under the action of microorganisms, the CO₂ fixation rate of different steel slags increases by more than two-fold, with increases in amount of CO₂ fixation at 2 h and 48 h of reaction being 142–169 % and 166–191 %, respectively. Microorganisms can enhance the reaction degree of C₂S, C₃S, and C₂F phases in different steel slags. The increase in amount of CO₂ fixation is particularly significant for steel slag powders with high C₂S and C₂F content. Enzymes secreted by microorganisms in the early stage of carbon sequestration can also increase the concentration of HCO₃^- and CO₃^2- in the liquid phase, but this is influenced by the pH value and Ca²⁺ concentration of different steel slag leachates. Steel slag powders with lower leachate pH values and containing small amounts of Ca²⁺ will be more conducive to microorganisms enhancing the early-stage CO₂ fixation rate.

Cellulose acetate (CA) nanofibers have been popularly applied in various biomedical and textile products. In this work, a textile azo-dye Reactive Green 19 (RG19) was selected to be chemically coupled to the CA nanofiber membrane to form dyed CA nanofiber membrane (namely CA-RG19) and then poly(hexamethylene biguanide) (PHMB) as an antibacterial reagent was physically attached to the dyed CA nanofiber membrane, forming CA-RG19-PHMB nanofiber membrane. The nanofiber membranes were evaluated for their physical and mechanical properties, including functional group analysis, morphological characterization, and thermal stability assessment. To investigate the antibacterial properties of the nanofiber membrane, various concentrations of RG19 dye and PHMB were tested to evaluate the antibacterial efficiency (AE) against Escherichia coli of the membranes. It was found that the CA-RG19-PHMB nanofiber membrane exhibited an AE value of approximately 100 %, with the immobilization concentrations of RG19 dye and PHMB being 373.46 mg/g and 0.333 mg/g, respectively. The CA-RG19-PHMB nanofiber membrane showed 100 % antibacterial efficacy after 10 min against E. coli cells. Furthermore, the storage stability of the CA-RG19-PHMB nanofiber membrane remained at approximately 100 % of its initial antibacterial efficacy after 60 days, and it exhibited excellent antibacterial efficacy after five cycles.