Biochemical Engineering Journal最新文献_第8页

Investigating the role of covalent stapling and cavity filling in enzyme thermostability 探讨共价钉接和空腔填充在酶热稳定性中的作用

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal

Pub Date : 2025-11-26 DOI: 10.1016/j.bej.2025.110026

Guojuan Yi , Zidan Liu , Linyu Luo , Zhiqiang Ding , Tolbert Osire , Mengfei Long , Yongmei Xie

The enhancement of enzyme thermostability is critical for industrial applications such as food processing, and covalent bond engineering, such as disulfide bond formation, has proven effective in achieving this goal. However, the relationship between disulfide bond engineering and internal cavity modulation remained unclear. In this study, we first optimized the thermostability and catalytic performance of pullulanase using computer-aided disulfide bond engineering. The double disulfide bond mutant S643C-E668C/R680C-H715C exhibited significant improvements in thermostability (T_m increased by 6℃, half-life at 70℃ extended by 1.64-fold) and catalytic efficiency (specific activity enhanced by 21.5 %). Molecular dynamics simulations revealed that disulfide bonds stabilized the enzyme structure by reducing conformational flexibility, increasing molecular compactness, and optimizing internal cavities. Building on these findings, we developed a covalent bond “stapling” strategy based on internal cavity engineering and applied it to ethyl carbamate (EC) hydrolase, incorporating both disulfide and non-natural thioether bonds. Specific mutants, such as M46C-K123C and I76C-L212TAG, significantly improved catalytic activity, ethanol tolerance, and thermostability. These enhancements were attributed to rigid connections formed by covalent bonds in critical regions, which mitigated local stress or conformational changes potentially induced by cavity-filling mutations. By elucidating the synergistic effects of disulfide bond engineering and cavity filling, this study provided a novel theoretical and practical foundation for designing industrial enzymes with superior thermostability.

增强酶的热稳定性对于食品加工等工业应用至关重要，而共价键工程，如二硫键的形成，已被证明是实现这一目标的有效方法。然而，二硫键工程与内腔调制之间的关系尚不清楚。在本研究中，我们首先利用计算机辅助二硫键工程对普鲁兰酶的热稳定性和催化性能进行了优化。双二硫键突变体s645c - e668c /R680C-H715C表现出显著的热稳定性（Tm提高6℃，70℃半衰期延长1.64倍）和催化效率（比活性提高21.5 %）。分子动力学模拟表明，二硫键通过降低构象柔韧性、增加分子致密性和优化内腔来稳定酶的结构。基于这些发现，我们开发了一种基于内腔工程的共价键“钉接”策略，并将其应用于氨基甲酸乙酯（EC）水解酶，结合了二硫键和非天然硫醚键。特异性突变体，如M46C-K123C和I76C-L212TAG，显著提高了催化活性、乙醇耐受性和热稳定性。这些增强归因于关键区域的共价键形成的刚性连接，这减轻了局部应力或可能由空腔填充突变引起的构象变化。通过阐明二硫键工程与空腔填充的协同作用，为设计具有优良热稳定性的工业酶提供了新的理论和实践基础。

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引用次数: 0

Optimizing ammonium supply strategies for mitigation of free ammonia inhibition in the mass cultivation of Limnospira fusiformis 优化铵供应策略以缓解梭形Limnospira fususiformis大规模养殖中游离氨抑制

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal

Pub Date : 2025-11-26 DOI: 10.1016/j.bej.2025.110018

Haymanot Yenesew Sewunet , Anupreet Kaur Chowdhary , Yuanjun Xia , Mutsumi Sekine , Pranshu Bhatia , Ayirkm Adugna Woldie , Tatsuki Toda

Ammonium is abundant in agro-industrial effluents, providing a cost-effective and sustainable nitrogen source for cultivating the cyanobacterium Limnospira fusiformis. However, under high pH conditions, ammonium converts into free ammonia (NH₃), causing inhibition. Therefore, an optimal ammonium supply strategy is required. This study assessed L. fusiformis growth under intermittent, continuous, and nighttime ammonium supply methods across four nitrogen loading rates: 3.9, 5.8, 11.6, and 17.4 mg NH₄⁺-N L⁻¹ d⁻¹ . At a loading rate of 11.6 mg NH₄⁺-N L⁻¹ d⁻¹ , intermittent and continuous supply yielded higher productivities (0.22 and 0.20 g L⁻¹ d⁻¹, respectively) than the nighttime method (0.15 g L⁻¹ d⁻¹) (p < 0.05). Increasing the loading rate to 17.4 mg NH₄⁺-N L⁻¹ d⁻¹ resulted in elevated NH₃ concentrations, leading to growth inhibition and productivity declines to 0.09, 0.10, and 0.06 g L⁻¹ d⁻¹ under intermittent, continuous, and nighttime supply, respectively (p < 0.05). This study is the first to demonstrate that continuous or intermittent ammonium supply strategies can be effectively applied in the mass cultivation of L. fusiformis.

农业工业废水中含有丰富的铵，为培养梭状蓝藻提供了一种经济、可持续的氮源。然而，在高pH条件下，铵转化为游离氨（NH3），产生抑制作用。因此，需要一个最佳的铵供应策略。这项研究评估了断断式、连续式和夜间铵供应方式下梭状乳杆菌的生长情况，四种氮负荷率：3.9、5.8、11.6和17.4 mg NH₄+ -N L⁻¹ d⁻¹ 。加载速率为11.6 mg NH₄ ⁺- n L⁻¹ d⁻¹ ,间歇和连续供应产生了更高的生产力(0.22和0.20 g  L⁻¹d⁻¹,分别)比夜间的方法(0.15 g  L⁻¹d⁻¹)(p & lt; 0.05)。提高加载速率为17.4 mg NH₄⁺- n L⁻¹ d⁻¹ 导致NH₃浓度升高,导致抑制增长和生产率下降至0.09,0.10,和0.06 g  L⁻¹ d⁻¹ 在断断续续的,连续的,分别和夜间供应(p & lt; 0.05)。本研究首次证明了连续或间歇铵供应策略可以有效地应用于梭状螺旋藻的大规模种植。

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引用次数: 0

Generation of gene-protein-reaction association rules in genome scale metabolic models: Chronology, challenges, and future perspectives 基因组尺度代谢模型中基因-蛋白反应关联规则的产生：年表、挑战和未来展望

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal

Pub Date : 2025-11-25 DOI: 10.1016/j.bej.2025.110017

Pınar Kocabaş

Genome-scale metabolic models (GEMs) are powerful tools for exploring the metabolic state of cells and interpreting complex biological data. A key component of these models is the gene-protein-reaction (GPR) association, which links genes to enzymatic reactions via Boolean logic to account for isozymes and protein complexes. The accuracy of GPRs, alongside the stoichiometric matrix, critically determines the predictive performance of GEMs. GPRs play a central role in constructing condition-specific, cell line, and disease models, and are widely used in gene essentiality analysis, expression profiling, and strain design. This review presents a historical overview of GPR construction in mammalian and yeast GEMs, summarizes the main tools, databases, and methods used for their generation and curation, and identifies current challenges and limitations. Finally, potential improvements in GPR generation frameworks to enhance their utility in systems biology and metabolic engineering applications are discussed.

基因组尺度代谢模型（GEMs）是探索细胞代谢状态和解释复杂生物学数据的有力工具。这些模型的一个关键组成部分是基因-蛋白质-反应（GPR）关联，它通过布尔逻辑将基因与酶促反应联系起来，以解释同工酶和蛋白质复合物。gpr的准确性与化学计量矩阵一起，关键地决定了GEMs的预测性能。GPRs在构建条件特异性、细胞系和疾病模型中起着核心作用，并广泛用于基因本质分析、表达谱和菌株设计。本文介绍了在哺乳动物和酵母gem中构建GPR的历史概况，总结了用于它们的生成和管理的主要工具，数据库和方法，并指出了当前的挑战和局限性。最后，讨论了GPR生成框架的潜在改进，以增强其在系统生物学和代谢工程应用中的效用。

引用次数: 0

Inferring microbe–disease association via higher-order weighted perturbation and dual-channel feature learning based on similarity matrix fusion 基于相似矩阵融合的高阶加权扰动和双通道特征学习推断微生物与疾病的关联

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal

Pub Date : 2025-11-24 DOI: 10.1016/j.bej.2025.110015

Xiaoxin Du , Lisen Yang , Bo Wang , Guangda Zhang

A growing number of studies have demonstrated that many complex human diseases are closely associated with microbial communities. Therefore, identifying potential microbe-disease associations is of great significance for disease diagnosis, prognosis, and treatment. However, traditional biomedical experiments are often costly, time-consuming, and labor-intensive. To address these challenges, we propose a novel computational model (HWP-SMFDCFL), for microbe-disease association prediction. Specifically, we introduce a new similarity matrix fusion algorithm (SMF) to integrate microbe and disease similarities. Second, a high-order weighted perturbation (HWP) technique is designed to dynamically assign weights to associations of different orders, thereby fully capturing high-order relational information. On this basis, a dual-path matrix factorization (DPMF) method is employed to reconstruct both original and high-order association matrices and extract low-dimensional linear features. Furthermore, by integrating hypergraph convolution and multilayer perceptron into dual-channel feature learning module (DCFL), the model captures nonlinear relationships in the microbe-disease similarity network at multiple levels, thus enhancing feature representation. Finally, Deep neural network (DNN) combined with Heterogeneous Newton boosting machine (HNBoost) is used to make the final predictions. Experimental results demonstrate that the proposed model outperforms six state-of-the-art prediction methods. Ablation Experiments and case study further validate its effectiveness and reliability. HWP-SMFDCFL is publicly available at https://github.com/senliyang/HWP-SMFDCFL.

越来越多的研究表明，许多复杂的人类疾病与微生物群落密切相关。因此，确定潜在的微生物与疾病的关联对疾病的诊断、预后和治疗具有重要意义。然而，传统的生物医学实验往往是昂贵、耗时和劳动密集型的。为了解决这些挑战，我们提出了一种新的计算模型（HWP-SMFDCFL），用于微生物-疾病关联预测。具体来说，我们引入了一种新的相似矩阵融合算法（SMF）来整合微生物和疾病的相似度。其次，设计了一种高阶加权摄动（HWP）技术，为不同阶的关联动态分配权重，从而充分捕获高阶关系信息。在此基础上，采用双路径矩阵分解（DPMF）方法重构原始关联矩阵和高阶关联矩阵，提取低维线性特征。此外，通过将超图卷积和多层感知器集成到双通道特征学习模块（DCFL）中，该模型在多个层次上捕获微生物-疾病相似网络中的非线性关系，从而增强特征表征。最后，利用深度神经网络（DNN）结合异质牛顿增强机（HNBoost）进行最终预测。实验结果表明，该模型优于六种最先进的预测方法。烧蚀实验和实例研究进一步验证了该方法的有效性和可靠性。HWP-SMFDCFL可在https://github.com/senliyang/HWP-SMFDCFL公开获取。

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引用次数: 0

Divanillin synthesis from vanillin by horseradish peroxidase in consideration of mathematical model and morphology of product 从数学模型和产物形态的角度考虑，用辣根过氧化物酶由香兰素合成二万尼林

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal

Pub Date : 2025-11-24 DOI: 10.1016/j.bej.2025.110016

Ikuya Teranishi, Shusuke Ito, Shintaro Morisada, Keisuke Ohto, Hidetaka Kawakita

Vanillin is one of the monomers originated from lignin. We have synthesized divanillin from vanillin as a precipitate using the enzymatic reaction of horseradish peroxidase (HRP), to examine the effects of the concentration of HRP and of the reaction medium on the reactivity of the substrate and the morphology of the product, divanillin. Mathematical modeling was used to analyze the effects of solvent-induced enzyme inactivation and substrate reactivity on substrate concentration. The amount of HRP on the reaction influenced the inactivation due to the reaction media. It was quantitatively shown that changing the concentration of methanol in the reaction medium increased the solvation to the substrate vanillin and increased the contact efficiency with HRP. SEM observation of the precipitates revealed that they were spherical and needle-like and varied with the reaction conditions. Divanillin is a substance with potential for subsequent effective utilization of biomass, and this research will lead to future applications of novel materials.

香兰素是源自木质素的单体之一。我们利用辣根过氧化物酶（HRP）的酶促反应，将香兰素作为沉淀物合成了万西林，考察了HRP浓度和反应介质对底物反应活性和产物万西林形态的影响。采用数学模型分析了溶剂诱导酶失活和底物反应性对底物浓度的影响。由于反应介质的不同，HRP的投加量会影响失活效果。定量结果表明，改变反应介质中甲醇的浓度可以提高对底物香兰素的溶剂化，提高与HRP的接触效率。对析出物的SEM观察表明，析出物呈针状球形，随反应条件的变化而变化。vananillin是一种具有后续有效利用生物质潜力的物质，该研究将导致未来新材料的应用。

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引用次数: 0

Rational engineering of Corynebacterium glutamicum for L-Glutamine biosynthesis 谷氨酰胺棒状杆菌生物合成l -谷氨酰胺的合理工程

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal

Pub Date : 2025-11-23 DOI: 10.1016/j.bej.2025.110011

Ying-Tong Lin, Meng Chai, Qing-Hai Liu, Yu-Shu Ma, Xin-Yi Tao, Min Liu, Dong-Zhi Wei

L-Glutamine (L-Gln) was efficiently biosynthesized in Corynebacterium glutamicum using metabolic engineering strategies. Four C. glutamicum strains (ATCC 13032, ATCC 13809, s026, and s9114) were screened, and γ-glutamyl kinase was deleted using CRISPR/Cas12a system to redirect carbon flux, increasing L-Gln titer from 4.7 g/L to 5.3 g/L. Several glutamine synthetase (GS) were screened from different sources, and Saccharomyces cerevisiae-derived GS demonstrated to be with optimal activity. Combined with RBS optimization to enhance translational efficiency, L-Gln titer was increased to 14.62 g/L. Subsequently, a dual strategy of site-directed mutagenesis of GS and small RNA-mediated inhibition of adenylyltransferase were conducted to relieve the adenylylation of GS, increasing L-Gln titer to 19.06 g/L. A “pull-push” strategy was implemented by strengthening glutamate dehydrogenase to enhance L-glutamate precursor supply while blocking L-Gln catabolism via deletion of glutamate synthase and glutaminase, resulting in 28.51 g/L L-Gln. Self-regulatory metabolic control was achieved using a growth-responsive promoter Pcg2705 to downregulate α-ketoglutarate dehydrogenase during stationary phase, achieving a shake flask titer of 31.85 g/L. The engineered strain CG17 produced 58.96 g/L L-Gln in a 5 L fed-batch bioreactor, with a yield of 0.31 g/g glucose and productivity of 1.05 g/L/h. The work provides valuable insights for developing high-performance strains for amino acid biosynthesis.

利用代谢工程技术在谷氨酰胺棒状杆菌中高效合成l -谷氨酰胺。筛选4株C. glutamum菌株ATCC 13032、ATCC 13809、s026和s9114，利用CRISPR/Cas12a系统删除γ-谷氨酰激酶，重定向碳通量，将L- gln滴度从4.7 g/L提高到5.3 g/L。从不同来源筛选了几种谷氨酰胺合成酶，结果表明，酿酒酵母衍生的谷氨酰胺合成酶活性最佳。结合RBS优化提高翻译效率，L- gln滴度提高到14.62 g/L。随后，通过对GS进行定点诱变和小rna介导的腺苷酸转移酶抑制的双重策略来缓解GS的腺苷酸化，将L- gln滴度提高到19.06 g/L。通过加强谷氨酸脱氢酶来增加L-谷氨酸前体供应，同时通过缺失谷氨酸合酶和谷氨酰胺酶来阻断L- gln分解代谢，实现“拉推”策略，使L- gln达到28.51 g/L。利用生长响应启动子Pcg2705在固定期下调α-酮戊二酸脱氢酶，实现自我调节代谢控制，摇瓶滴度为31.85 g/L。工程菌株CG17在5 L补料间歇反应器中产生58.96 g/L L- gln，产糖量为0.31 g/g，产率为1.05 g/L/h。这项工作为开发高效氨基酸生物合成菌株提供了有价值的见解。

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引用次数: 0

DLF-BBP: A novel deep learning framework for blood-brain barrier penetrating peptides design DLF-BBP：一种新的血脑屏障穿透肽设计深度学习框架

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal

Pub Date : 2025-11-22 DOI: 10.1016/j.bej.2025.110014

Lei Huang , Zhanglong Li , Zhengtai Li , Hongjiang Li , Tiejun Bing , Yingji Li , Changyuan Yu

The blood-brain barrier (BBB) maintains brain homeostasis by selectively regulating substance exchange but also limits central nervous system (CNS) drug delivery. Blood-brain barrier penetrating peptides (BBPs) are short peptides capable of traversing the BBB, serving as drug carriers or therapeutic agents. Therefore, designing novel BBPs is crucial for overcoming the BBB's limitations and advancing CNS-targeted drug development. In this study, we propose a novel deep learning framework for BBPs design (DLF-BBP). Beginning with a Self-Attention Generative Adversarial Network (SAGAN) model to generate novel candidate BBPs that were evaluated in silico, we subsequently constructed a predictive model based on a Convolutional Neural Network (CNN) for the initial screening of GAN-designed BBPs, achieving an area under the curve (AUC) of 0.988 and an accuracy of 0.954. Further multi-step screening was conducted using physicochemical property analysis, molecular docking, and online platforms. Finally, the filtered candidate GAN-designed BBPs were validated through in vitro BBB penetration assay, leading to the identification of three promising GAN-designed BBPs with high permeation capability, demonstrating penetration comparable to that of the positive control Lixisenatide. Our research offers new possibilities for treating neurological disorders.

血脑屏障（BBB）通过选择性调节物质交换来维持大脑稳态，但也限制了中枢神经系统（CNS）的药物传递。血脑屏障穿透肽（BBPs）是一种能够穿过血脑屏障的短肽，可作为药物载体或治疗剂。因此，设计新的血脑屏障对于克服血脑屏障的局限性和推进cns靶向药物的开发至关重要。在本研究中，我们提出了一种新的bbp设计深度学习框架（DLF-BBP）。我们首先使用自注意生成对抗网络（Self-Attention Generative Adversarial Network， SAGAN）模型来生成新的候选bbp，并在计算机上进行评估，随后构建了基于卷积神经网络（Convolutional Neural Network， CNN）的预测模型，用于gan设计的bbp的初始筛选，实现了曲线下面积（AUC）为0.988，准确率为0.954。通过理化性质分析、分子对接和在线平台进行进一步的多步骤筛选。最后，通过体外血脑屏障渗透实验对过滤后的候选gan设计的血脑屏障进行验证，鉴定出三种具有高渗透能力的gan设计的血脑屏障屏障，其渗透能力与阳性对照利昔那肽相当。我们的研究为治疗神经系统疾病提供了新的可能性。

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引用次数: 0

Investigating the effect of media composition on growth and mAb production in CHO cells using a piecewise hybrid dFBA-PLS framework 使用分段混合dFBA-PLS框架研究培养基组成对CHO细胞生长和单克隆抗体产生的影响

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal

Pub Date : 2025-11-21 DOI: 10.1016/j.bej.2025.110013

Zahra Negahban , Ali Ghodba , Anne Richelle , Chris McCready , Valerie Ward , Hector Budman

In this study, we present a hybrid modeling framework that integrates piecewise Partial Least Squares (PLS) regression with Dynamic Flux Balance Analysis (dFBA) to simulate and optimize Chinese Hamster Ovary (CHO) cell fed-batch culture. Twenty-four Ambr15 experiments were conducted to systematically vary feed and inoculum compositions. Time-resolved metabolite, biomass, and Monoclonal antibodies (mAb) concentrations were collected and modeled. The hybrid model achieved high prediction accuracy (Normalized Mean Squared Error (NMSE)

<

0.15 for most metabolites) and provided interpretable flux profiles. Multivariate analysis revealed consistent metabolic signatures tied to media formulation, where specific feed–inoculum combinations drove shifts in glycolysis, TCA cycle flux, and nitrogen metabolism. These insights demonstrate the model’s capacity to capture key metabolic adaptations and support data-driven media optimization in CHO cell culture.

在这项研究中，我们提出了一个混合建模框架，结合分段偏最小二乘（PLS）回归和动态通量平衡分析（dFBA）来模拟和优化中国仓鼠卵巢（CHO）细胞的间歇培养。为了系统地改变饲料和接种物的组成，进行了24次Ambr15试验。收集时间分辨代谢物、生物量和单克隆抗体（mAb）浓度并建立模型。该混合模型具有较高的预测精度（大多数代谢物的归一化均方误差（NMSE） & 0.15），并提供了可解释的通量谱。多变量分析揭示了与培养基配方相关的一致代谢特征，其中特定的饲料-接种组合驱动糖酵解、TCA循环通量和氮代谢的变化。这些见解证明了该模型在CHO细胞培养中捕获关键代谢适应和支持数据驱动媒体优化的能力。

引用次数: 0

The production of mannitol-liamocin by the engineered Aureobasidium melanogenum V33 and its anti-Streptococcus mutans activity 工程黑素小孢子菌V33生产甘露醇-利亚莫肽及其抗变形链球菌活性研究

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal

Pub Date : 2025-11-21 DOI: 10.1016/j.bej.2025.110012

Sha-Sha Song , Peng Wang , Zhe Chi , Guang-Lei Liu , Zhen-Ming Chi

Dental caries is a common health problem in human and it is important how to effectively treat the dental caries. In this study, mannitol-liamocin obtained was found to have high activity against Streptococcus mutans. The mutant strain Δpt-42, which lacked both the MPDH gene and the MtDH gene, was capable of producing 11.7 ± 2.2 g/L of liamocin with a single arabinitol head, A-liamocin. By optimizing the primary carbon sources in the medium, the engineered V33 strain grown in a medium containing fructose as the sole carbon source, was capable of producing 39.3 ± 1.0 g/L of liamocin with a single mannitol head, M-liamocin. M-liamocin exhibited greater inhibitory activity against S. mutans than A-liamocin. Furthermore, when the concentration of M-liamocin reached 1.25 mg/mL, nearly half of S. mutans biofilms was inhibited. In contrast, at a concentration of 5.0 mg/mL, the formation of S. mutans biofilms was completely inhibited. A minimum inhibitory concentration (MIC) and a minimum bactericidal concentration (MBC) of M-liamocin were 2.5 mg/mL and 6.0 mg/mL, respectively. M-liamocin not only effectively reduced the extracellular polysaccharide production and acid production of S. mutans, but also induced the leakage of lactic acid dehydrogenase. Simultaneously, the permeability of the cell membrane, the cell surface, and the formation of cell chains in the treated S. mutans biofilm were compromised, leading to bacterial cell necrosis.

龋齿是人类常见的健康问题，如何有效地治疗龋齿非常重要。本研究发现，获得的甘露醇-利亚莫肽对变形链球菌具有高活性。突变株Δpt-42缺乏MPDH基因和MtDH基因，单个阿拉伯糖醇头（a -liamocin）能够产生11.7 ± 2.2 g/L的利亚莫肽。通过优化培养基中的主要碳源，在以果糖为唯一碳源的培养基中生长的工程菌株V33能够以单个甘露醇头m -利亚莫辛生产39.3 ± 1.0 g/L的利亚莫辛。m -利亚霉素对变形链球菌的抑制活性比a -利亚霉素更强。此外，当M-liamocin浓度达到1.25 mg/mL时，近一半的变形链球菌生物膜被抑制。而在5.0 mg/mL浓度下，变形链球菌生物膜的形成被完全抑制。m -利亚莫星的最低抑菌浓度（MIC）为2.5 mg/mL，最低杀菌浓度（MBC）为6.0 mg/mL。间利亚莫肽不仅能有效降低变形链球菌胞外多糖和产酸量，还能诱导乳酸脱氢酶渗漏。同时，处理过的变形链球菌生物膜细胞膜的通透性、细胞表面和细胞链的形成受到破坏，导致细菌细胞坏死。

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引用次数: 0

Bamboo biochar boosts methane production, microbial resilience, and economic performance in ammonia-rich anaerobic digestion 竹制生物炭促进甲烷产量、微生物恢复力和富氨厌氧消化的经济性能

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal

Pub Date : 2025-11-20 DOI: 10.1016/j.bej.2025.110008

Kazutaka Ueno , Gen Yoshida , Mohamed Farghali , Masahiro Iwasaki , Dalia Hassan , Ikko Ihara

Anaerobic digestion (AD) is a promising technology for converting organic waste into renewable energy, but its industrial implementation is often constrained by ammonia inhibition in nitrogen-rich feedstocks, which undermines both process stability and economic viability. Addressing this challenge is crucial for ensuring sustainable, financially resilient waste-to-energy systems. We hypothesized that the strategic addition of bamboo biochar (BBC) could mitigate ammonia stress while promoting a more robust microbial community, thereby enhancing both environmental and economic performance. To test this, batch experiments were conducted to determine optimum BBC dosages, followed by semi-continuous trials using 6.25 g/L BBC over four operational phases (Runs1–4), during which NH₄⁺-N was gradually increased from 2000 to 5000 mg/L. The biochar-amended system maintained stable performance under conditions that caused control reactors to fail, with a maximum 1447 % increase in methane production observed during the 4000 mg/L NH₄⁺-N phase. Mechanistic analysis revealed that BBC acted primarily by enriching syntrophic bacteria and hydrogenotrophic methanogens, enabling a stable syntrophic acetate oxidation pathway. Enhancing microbial resilience through biochar addition directly improves financial stability, a critical factor for industrial adoption. The biochar-added system achieved consistent profits of USD 8.08–16.27/m³ reactor/month, underscoring strong business potential in scalable waste-to-energy systems. Optimizing biochar dosing and evaluating full-scale implementation could further advance globally relevant, economically viable circular bioeconomy solutions.

厌氧消化（AD）是一种将有机废物转化为可再生能源的有前途的技术，但其工业实施往往受到富氮原料中氨抑制的限制，这破坏了工艺稳定性和经济可行性。应对这一挑战对于确保可持续的、具有财政弹性的废物转化为能源系统至关重要。我们假设，有策略地添加竹生物炭（BBC）可以缓解氨胁迫，同时促进更强大的微生物群落，从而提高环境和经济效益。为了验证这一点，我们进行了批量实验以确定最佳BBC用量，然后在四个运行阶段（Runs1-4）中使用6.25 g/L BBC进行半连续试验，在此期间，NH₄+ -N从2000逐渐增加到5000 mg/L。在导致控制反应器失效的条件下，生物炭修饰的系统保持了稳定的性能，在4000 mg/L的NH₄+ -N相中，甲烷产量最大增加了1447 %。机理分析表明，BBC主要通过富集合养细菌和氢养产甲烷菌来发挥作用，从而实现了一个稳定的合养醋酸氧化途径。通过添加生物炭来增强微生物恢复力，直接提高了金融稳定性，这是工业采用的关键因素。添加生物炭的系统实现了8.08-16.27美元/立方米反应器/月的持续利润，突显了可扩展的废物转化为能源系统的强大商业潜力。优化生物炭用量和评估全面实施可以进一步推进全球相关的、经济上可行的循环生物经济解决方案。

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引用次数: 0