This study investigated the interactive effects of nitrogen (N) availability and light quality on the growth kinetics, pigment dynamics, lipid allocation, ultrastructural changes, and energetic performance of Chlorella sorokiniana. Cultivation was conducted across a declining N gradient (247.2 [replete control], 185.4, 123.6, 61.8, and 0 mg L⁻¹ NaNO₃) under three LED regimes at 200 µmol m⁻² s⁻¹: dark blue (450 nm), light blue (470 nm), and broad-spectrum white (430–750 nm). Under nutrient-replete conditions, the narrow-band 450 nm regime maintained robust chlorophyll synthesis with an initial Chl a/b ratio of 2.29. Severe N starvation (0 mg L⁻¹) induced a distinct metabolic shift toward lipogenesis, driving lipid content to 58 ± 8
Gluconic acid (GA) and its derivatives are widely demanded in construction, food and pharmaceutical industries. To mitigate food resource competition, the enzymatic hydrolysate of lignocellulosic agricultural waste (corncob) is regarded as a sustainable alternative feedstock for the GA bioproduction by Gluconobacter oxydans (G. oxydans). However, high‑solid hydrolysate causes dissolved‑oxygen deficiency due to increased broth viscosity, inhibiting the aerobic metabolism of this obligate aerobe. Herein, an economical diatom co‑cultivation system was constructed to supply oxygen in‑situ through photosynthesis. The neutralizer CaCO3 neutralizes GA and generates CO2 to partially sustain diatom photosynthesis, forming a chemically coupled interaction cycle (rather than strict mutualistic symbiosis). Experimental results demonstrated that diatom addition can effectively improve GA productivity. For corncob hydrolysate containing 100 g/L initial glucose, up to 32
Commercial-scale monoclonal antibody manufacturing requires stringent productivity control to maximize profitability. However, final productivity is frequently compromised by subtle process deviations beyond standard operating procedures, such as minor pH shifts, gas sparging variations, and nutrient consumption fluctuations. Although modern Industrial Internet of Things systems generate abundant inline and offline data, actionable process insights remain underexploited. To tackle the critical challenge of productivity fluctuations, identification of root causes is urgent. Therefore, this study proposes an intelligent retrospective data analysis framework for commercial-scale cell culture processes, integrating three core modules: inline data processing, offline data processing, and discriminative information extraction. It enables end-to-end automated historical data mining, quantifies factor contributions to batch quality variations, facilitates rapid potential root-cause identification with minimal data science expertise, and guides timely process optimization. Practical efficacy was demonstrated through two commercial-scale case studies manufacturing biosimilars to adalimumab (HS016) and trastuzumab (HS022), with data from over 30 batches collected per product. Critical factors possibly driving productivity declines were identified from early-batch data and successfully validated through targeted operational optimizations in subsequent runs. By converting latent process data into actionable insights, this scalable and operator-friendly framework provides a practical AI/ML-driven solution for continuous batch quality enhancement in GMP-regulated commercial biomanufacturing.
In recent years, multiple countries and regions have been confronted with the issue of the co-contamination of nitrate and ofloxacin (OFL) in groundwater, this study established a coupled system (ZFM) of microscale zero-valent iron/pyrite (mZVI/FeS2; ZF) and iron denitrifying microorganisms (M) for the simultaneous removal of OFL and nitrate from aqueous systems. The removal efficiencies, dominant removal pathways and possible mechanisms of OFL and nitrate in the ZFM system were investigated. Results showed that the removal efficiencies of nitrate and OFL in the ZFM system were 100.0
Xylitol, a common sugar substitute in food and pharmaceuticals, can be produced microbially using glucose as the primary substrate. Our earlier study established an efficient one-step biotransformation system in Gluconobacter oxydans that converts D-arabitol to xylitol. To improve the reusability of resting cells, recombinant G. oxydans was immobilized in a composite matrix of Cyclotella meneghiniana frustules and solium alginate. The combined approach not only enhanced the mechanical strength and stability of the beads but may also have facilitated oxygen transfer within the immobilization matrix. Compared with frustules adsorption and alginate encapsulation alone, the combined immobilized cells exhibited increases in catalytic activity of 32.8
