Shizhou Liu I Biopharm Process

Shizhou Liu I Biopharm Process Biopharma cleanroom & process equipment and turnkey project.

ICH Releases New ICH Q9(R1) Quality Risk Management Training Material (600 Pages)!On 20 March 2026, ICH officially issue...
23/03/2026

ICH Releases New ICH Q9(R1) Quality Risk Management Training Material (600 Pages)!

On 20 March 2026, ICH officially issued the fully updated and expanded ICH Q9(R1) Quality Risk Management training package.

This training package is fully aligned with the ICH Q9(R1) guideline, aiming to provide systematic and implementable training support for quality risk management across R&D, manufacturing, and distribution in the global pharmaceutical industry.

This updated training package is the fully revised 2026 edition, which completely replaces the previous version that has been in use since 2006.

The overall structure and content are fully benchmarked against the latest requirements of Q9(R1).

The training package consists of the following 18 documents, totaling approximately 600 pages:

ICH Q9(R1) Integrated Quality Management 2026 03
ICH Q9(R1) FMEA & FMECA 2026
ICH Q9(R1) Risk Ranking and Filtering 2026 03
ICH Q9(R1) Fault Tree Analysis (FTA) 2026 03
ICH Q9(R1) Basic Risk Management Facilitation Methods 2026 03
ICH Q9(R1) HACCP 2026 03
ICH Q9(R1) PHA 2026 03
ICH Q9(R1) HAZOP 2026 03
ICH Q9(R1) Production 2026 03
ICH Q9(R1) Supply Chain Risks 2026 03
ICH Q9(R1) Regulatory Operations 2026 03 QRM
ICH Q9(R1) Materials Management 2026 03 QRM
ICH Q9(R1) Packaging Labeling 2026 03
ICH Q9(R1) Combination of Tools 2026 03
ICH Q9(R1) Lab Control Stability Studies 2026
ICH Q9(R1) Facilities Equipment 2026 03
ICH Q9(R1) QRM as part of Development 2026 03 QRM
ICH Q9(R1) Supporting Statistical Tools 2026 03 QRM

FDA Surprise Inspection: QC Carries Two Large Bags of Records; Data Integrity Completely Collapses!On March 10, the FDA ...
21/03/2026

FDA Surprise Inspection: QC Carries Two Large Bags of Records; Data Integrity Completely Collapses!

On March 10, the FDA issued a warning letter to India-based Tentamus Pharmaceuticals. The warning letter revealed a striking incident during the inspection: as soon as inspectors arrived, they witnessed quality control personnel attempting to remove two large garbage bags full of documents. Upon seizure, the bags were found to contain shredded analytical records and handwritten data.
Inspectors Witness Two Large Bags of Shredded Records
At the very start of the inspection, FDA investigators observed a shocking scene: company staff trying to remove two garbage bags filled with documents and records. After intercepting the bags, inspectors discovered they were full of torn-up analytical records, including chromatographic results and handwritten validation notes.

It was found that while official method validation records showed typed numerical results, the original printouts were discarded as fragments in the garbage bags.

Investigators also found that laboratory personnel routinely used informal personal notebooks to record test procedures, analytical results, method changes, and deviation descriptions. There were no procedures governing the use of such notebooks, resulting in large amounts of GMP-related data not being properly retained.

The company claimed that the validation documents in the garbage bags were “not related to drugs sold to the U.S.” The FDA rejected this argument, stating clearly that the company uses the same procedures, equipment, and practices for all testing. Regardless of whether products are destined for the U.S. market, all test data must comply with required procedures.

The FDA further criticized the company’s response for failing to mention any immediate corrective actions to prevent data destruction or standardize record-keeping.

Falsifying Results – “The Customer Said…” Is Not an Excuse
The warning letter also exposed repeated record falsification:
In August 2023, a sample’s total aerobic microbial count result was “Too Numerous To Count (TNTC)”. Without any investigation or supporting documentation, the company issued two revised reports, falsely changing the result to compliant.

In July 2025, after microbial petri dishes were lost in an incubator, the issue was not entered into the quality department’s deviation or CAPA tracking system, and no corrective or preventive actions were implemented.

In its response to the FDA, the company claimed these samples were not for the U.S. market and stated that “the client instructed them not to investigate the OOS, as the testing was for informational purposes only,” citing a quality agreement.

Again, the FDA rejected this position. The FDA clearly refuted that contract laboratories are an extension of manufacturing facilities, and quality agreements do not exempt GMP compliance obligations. Firms must investigate all OOS results to ensure data reliability.

Backdated Records

Inspectors also discovered five blank preventive maintenance records that already contained pre-signed names and dates in the “Performed By” fields.

More seriously, on August 14, 2025, inspectors personally witnessed the QC Manager signing and backdating a spectrometric comparison record to March 6, 2025.

The FDA emphasized sharply:

“This issue of non-simultaneous GMP documentation is a repeated deficiency identified in multiple FDA inspections.”

Although the company stated it had suspended the involved manager and committed to third-party audits and employee retraining, the FDA concluded that the response did not assess the scope and impact of document deficiencies across the site, nor did it propose systemic measures to improve the data integrity culture.

QC Manager Under Pressure

During this inspection, the company’s violations escalated to deliberate delay and restriction of the FDA inspection:
In addition to attempting to remove garbage bags containing destroyed records, the firm refused to provide other documents removed from the QC laboratory.

After eight process verification forms were discovered in the Microbiology QC Manager’s office, the company first denied using such forms, then falsely claimed they had been discontinued for 12 months.

The QC Manager admitted that “senior management instructed not to disclose any audit details to the FDA.”

Eid Mubarak Greeting for Muslim FriendsDear Friend,Eid Mubarak! On this blessed occasion of Eid, I send you my warmest a...
21/03/2026

Eid Mubarak Greeting for Muslim Friends

Dear Friend,

Eid Mubarak! On this blessed occasion of Eid, I send you my warmest and most heartfelt wishes. May the light of Eid fill your home with joy, peace, and prosperity, and may Allah’s blessings shower upon you and your beloved family.

May this special day bring you moments of happiness shared with those you love, laughter that echoes through your days, and the comfort of knowing you are cherished. As we celebrate this sacred festival, I pray that your heart is filled with gratitude, your life with goodness, and your future with endless blessings.

Wishing you a day of joy, a season of abundance, and a lifetime of Allah’s mercy. Eid Mubarak to you and your family—may every moment be as beautiful as you are.

With warm regards,

Metal Extractables/Leachables in Biopharmaceuticals and Their ImpactsOver the past decade or so, many biopharmaceutical ...
21/03/2026

Metal Extractables/Leachables in Biopharmaceuticals and Their Impacts

Over the past decade or so, many biopharmaceutical companies have shifted to using polymer-based single-use bioprocess materials for the development of biological products, including bioreactor bags, containers, tubing, connectors, and other manufacturing equipment. Single-use bioreactor systems, in particular, have seen steady growth in biopharmaceutical production due to their flexibility and other advantages. While these systems improve production efficiency, their use also presents challenges and regulatory concerns, including the risk of extractables and leachables, which can affect the overall yield and purity of biological products.

Extractables are substances derived from plastics under harsher conditions than simple contact between the plastic and the system. Leachables, by contrast, are substances that migrate into the product stream through relatively mild interactions between the plastic and the system. These substances may exist as process contaminants, impurities, or reaction by-products. Interactions between extractables/leachables and product components have been shown to alter the physicochemical properties of biological products, thereby negatively impacting the quality of the final product. Therefore, identifying and quantifying these extractables and leachables in bioprocess material studies is critical to ensuring optimal cell growth, product quality, and patient safety.

Heavy metals are among the most important extractables and leachables, capable of inducing physicochemical changes in target biological products. Toxic metals can affect cell growth, viability, and product output. Careful monitoring and control of metal levels are essential in bioprocessing. This article provides a brief overview of heavy metal extractables and leachables that may be present in bioprocessing and their impacts.

Cobalt
Cobalt is an extractable/leachable metal potentially found in single-use bags used in bioprocessing and is considered a high-risk factor. Cobalt can introduce multiple hazards during bioprocessing, especially its effects on galactosyltransferase activity and IgG expression in CHO cells, as well as its concentration-dependent impact on cell growth, leading to varying effects on biological products.

One study examined the effects of manganese—an essential cofactor for cell growth—and cobalt at concentrations ranging from 0 to 1 mM, confirming that cobalt exerts a dose-dependent effect on galactosyltransferase: enzyme activity decreases with increasing cobalt concentration. This occurs because the enzyme has two binding sites occupied by both manganese and cobalt, and cobalt binding results in lower activation compared to manganese.

Another study evaluated the impact of cobalt on IgG expression in recombinant CHO cells to understand its effect on glycosylation. Using varying cobalt concentrations, results showed that 300 μM cobalt caused cell death after 3 days. Additionally, IgG titers decreased by 50% starting at 200 μM. No effects on cell growth were observed at cobalt concentrations of 50 μM or lower.

Although cobalt concentrations between 1–100 μM increased galactosylation levels in CHO cells, supplementation with manganese could partially reverse and improve this galactosylation effect. Cobalt also increases ROS production, which in turn stimulates hypoxia-mediated responses by reducing dissolved oxygen levels. Furthermore, 50 μM cobalt led to a 3% increase in G1F glycans, while 200 μM cobalt caused a 5% increase in non-galactosylated (G0F) glycoforms. Increased lactate production was also noted in the presence of 200 μM cobalt.

Nickel
Nickel is also recognized as a trace metal toxic to CHO cells in bioprocessing. Glycosylation is an important post-translational modification that affects glycoproteins in CHO cells; it contributes to the quality of biological products and requires monitoring and analysis throughout the bioprocess. Nickel can leach from various equipment used in bioprocessing, with leaching levels influenced by solution pH, concentration, salt content, and temperature.
Studies analyzing the effects of nickel on CHO cells have shown that nickel inhibits fucosyltransferase and galactosyltransferase. Moreover, nickel affects ROS formation, inducing oxidative stress and reducing galactosylation, which in turn significantly decreases recombinant IgG glycosylation.

Studies have also tested nickel’s effects on cell growth and viability: no changes in growth or viability were observed at nickel concentrations up to 50 μM. Above 200 μM, cell growth was significantly reduced, while viability remained above 60% until nickel reached 1 mM. Lactate production increased at 200 μM nickel. When nickel concentrations exceeded 1 mM, IgG glycosylation was observed to decrease from 32% to 25%.

The impact of nickel on galactosyltransferase was further evaluated. As noted earlier, manganese is a key cofactor for galactosyltransferase; therefore, various concentrations of manganese and nickel were tested to determine whether manganese could reverse the reduced glycosylation. Although manganese supplementation increased glycosylation, it was insufficient to fully counteract the reduction.

Nickel is classified as one of the primary leachables in bioprocessing, and its effects on protein aggregation and precipitation have been investigated. Trace levels of nickel from different equipment can cause protein precipitation, which may be explained by chelation between nickel and protein monomers. Furthermore, one study detected trace nickel in nearly all evaluated excipients.

Copper
Although copper is recognized as an essential element in multiple metabolic pathways, high concentrations can be toxic due to ROS generation, leading to cell damage. Copper leaching from bioprocess equipment can therefore disrupt the optimal balance, induce toxicity, and impair cell growth.

One study analyzed the maximum safe copper level in growth medium without inducing toxicity. CHO cells were treated with various copper levels for over 14 days. The minimum threshold for normal cell growth without toxicity was determined to be 30–60 nM per packed cell volume. Treatment of CHO cells with high copper levels negatively impacted bioproduct quality by increasing modifications of the IgG product.

Research has also shown that CHO cells require a minimum level of copper for survival and optimal performance. C-terminal proline amidation is catalyzed by peptidylglycine alpha-hydroxylating monooxygenase, an enzyme that requires copper binding for activation. Higher copper concentrations enhance this reaction, leading to increased IgG production. However, copper levels above 50 μM promote increased protein aggregation, further reducing protein quality.

One experiment demonstrated higher cell viability in control groups compared to groups with elevated copper, presumably due to slower intracellular accumulation at lower copper levels. The authors also concluded that copper levels in the range of 0–100 μM did not affect cell growth. Other studies have shown that copper induces bioaccumulation in CHO cells, disrupting cell growth—a phenomenon further explained by copper’s effect on the glutathione-redox balance, a critical defense against toxicity. This imbalance leads to disrupted cell growth. It is recommended that copper concentrations in packed cell volume be maintained above 30 nM to achieve desired benefits and below 60 nM to avoid copper toxicity.

Conclusion
Biopharmaceutical production has widely adopted single-use bioprocess systems. This transition to single-use plastic systems demands the regulation and monitoring of extractables and leachables to ensure patient safety. Although concentrations of extractables and leachables in the final drug product are low, they can affect product quality and carry a risk of increased patient exposure. Assessing safety thresholds for the most common extractables and leachables helps ensure cell viability in bioproduction.

For example, safety thresholds are approximately >200 μM for cobalt, >200 μM for nickel, and >60 nM for copper. Both cobalt and nickel trigger hypoxia-mediated responses leading to oxidative stress. Maintaining safe concentrations of these toxic metals is critical to avoiding negative impacts on cell growth, viability, and product manufacturing. Likewise, effective monitoring of these harmful extractables and leachables is essential to ensure the production of high-quality products and patient safety.

Development of Industrial-Scale Inclusion Body Refining ProcessesEscherichia coli is one of the longest-used and most wi...
21/03/2026

Development of Industrial-Scale Inclusion Body Refining Processes

Escherichia coli is one of the longest-used and most widely employed hosts for recombinant therapeutic protein expression. To date, more than 25% of recombinant biopharmaceuticals are produced in E. coli. Its well-characterized genetic properties, in-depth understanding of its physiology, availability of extensive expression vector toolkits, low cultivation cost, short culture time, and ability to generate high yields of recombinant protein make it an attractive host organism for both basic research and industrial manufacturing.

Overexpression of recombinant proteins in E. coli frequently results in the formation of inclusion bodies (IBs). Although producing recombinant biopharmaceuticals as inclusion bodies rather than soluble proteins offers numerous advantages—such as high product titers (exceeding 20 g of inclusion bodies per liter of culture), high product purity (up to 95% total protein content), high mechanical and thermal stability of IBs, reduced susceptibility to proteolysis, and ease of isolation due to differences in size and density compared to host cell proteins—inclusion bodies require refolding (renaturation) to form the native protein, followed by further purification to obtain a purified and active biological product. Despite significant progress in the development of mild denaturation and refolding methods for bacterial inclusion bodies over the years, the implementation of such strategies at industrial scale still requires in-depth consideration of multiple factors. This article aims to briefly outline the development pathway for industrial-scale inclusion body refolding processes.

The early stage of new product process development resembles a black box: typically, only the protein sequence is known, and research data indicate that the target product has therapeutic potential. Purification processes developed to produce material for preclinical studies are usually performed at small volumes. Consequently, the amount of product generated by early-stage processes is too low to meet market demand, necessitating further process optimization and scale-up. Time and cost are critical factors in industrial process development. Platform processes, scale-down models, and computer-based modeling are commonly employed to ensure rapid development timelines. The overall goal of process development is to design a robust and reliable manufacturing process.

Preliminary Screening and Optimization of Refolding Buffers
To achieve inclusion body solubilization and refolding, preliminary screening of buffer conditions is typically required. In practice, these conditions must be determined empirically for each target product, which can be highly time‑consuming and labor‑intensive. Therefore, research in this field has shifted toward the use of high‑throughput development approaches to streamline this process.

During process development, Design of Experiments (DOE) methods are often applied to screen buffer conditions in an automated manner at small total volumes (

Scale-up Strategies and Engineering Considerations for Bioreactors in Different BioprocessesWith technological advanceme...
20/03/2026

Scale-up Strategies and Engineering Considerations for Bioreactors in Different Bioprocesses

With technological advancements and a deeper understanding of how biological processes occur, high-purity biological molecules can be produced at a large scale. Today, various bioproducts—including organic acids, biofuels, bioplastics, biopesticides, pharmaceuticals, and aromas—can be manufactured via fermentation. However, such processes are generally more complex than chemical routes, primarily because microbial cells have specific physicochemical requirements. Furthermore, bringing bioproducts to market requires a structured approach to implement appropriate processes and scale-up. Bioreactors are central equipment used in many bioprocesses, and various bioreactor technologies have been developed for different applications. Their scale-up involves developing bioprocesses at laboratory, pilot, and industrial scales.
Typically, bioprocess development proceeds across three scales: laboratory, pilot, and finally industrial. The process begins at the laboratory scale, where optimal conditions are screened and defined to enable transfer to larger scales. This transfer requires the replication of appropriate conditions and performance, which presents a major challenge because critical factors such as aeration and agitation are essential for cell growth. In this context, scale-up strategies must be adopted to maintain bioprocess performance. These strategies are based on similarities in bioreactor geometry, agitation, aeration, and other parameters, and must comply with the requirements of each bioprocess and the microbial strain used. Operating conditions significantly influence cell growth, which in turn affects the biosynthesis of various biomolecules, and these conditions must ultimately be replicated at larger scales. To this end, one or more operating factors can be kept constant during scale-up, enabling the prediction of parameters such as power consumption in large-scale bioreactors or aeration conditions in aerobic cultures.

At the laboratory scale, small-volume systems—either shake flasks (e.g., 50–500 mL) or bioreactors (e.g., 1–15 L)—are used for condition screening and process optimization. It is straightforward to evaluate the effects of different nutrient sources and physicochemical conditions (e.g., temperature, pH, agitation, and aeration rates) on maximizing biomass and product yields while minimizing costs. Furthermore, optimization and simulation can be performed using design of experiments (DoE), and models can be developed and validated at this scale. Once all optimal conditions are determined and tested in laboratory-scale bioreactors, the process can be transferred to the pilot scale (e.g., 50–500 L bioreactors).

This transfer requires maintaining constant key parameters (primarily agitation and aeration) as well as geometric similarity across scales. The pilot scale serves as a demonstration step to verify the feasibility of the developed bioprocess and to establish critical parameters that cannot be optimized at the laboratory scale (e.g., the impact of agitation on shear stress). Once the economic and technical feasibility of the project is validated at the pilot scale, the bioprocess can finally advance to industrial and commercialization stages. Scaling from pilot to industrial scale follows similar criteria to ensure success. Thus, bioprocess scale-up always involves bioreactor design at all scales. This equipment can be considered the core of bioprocessing, as it supports the microbial cells required for bioproduction. Therefore, accurate selection of bioreactors at all scales—based on the operating mode, microbial strain, and available capital investment—is critical.
In this sense, bioprocess and bioreactor scale-up are directly interconnected. During scale-up, it is essential to provide precise conditions for microbial growth and production while ensuring the economic and technical feasibility of the project.

Bioprocess Factors Affecting Scale-up: Operating Mode
Bioprocesses can be conducted in different ways during fermentation, depending on the microbial requirements for substrate consumption, product formation, and potential inhibition. Overall, there are three main operating modes: batch, fed-batch, and continuous, which differ in the feeding of fresh medium and/or the removal of fermentation broth during operation.

The simplest operating mode is batch processing, in which no medium is added or removed throughout fermentation. Consequently, the culture environment evolves continuously due to metabolic dynamics, resulting in a non-steady state. Batch operation is widely used for initial production testing at the laboratory scale and for screening optimal conditions for the production of target biomolecules.

Similar to batch fermentation, fed-batch processing does not involve the removal of fermentation broth. However, fresh medium is added during fermentation. The feed may consist solely of a carbon source, nutrient supplements, or complete medium, depending on the nutritional needs of the strain, and is supplied to the bioreactor either in pulses (intermittently) or continuously. The primary goal of fed-batch is to extend the logarithmic growth phase of the microbial culture, thereby achieving higher biomass and product titers. Determining the optimal time to initiate feeding can be challenging and requires thorough investigation. Typically, feeding starts when the carbon source is partially or fully depleted, or when microbial growth reaches its maximum, with the aim of prolonging this phase. Feeding must follow a well-defined strategy to avoid dilution of the medium and culture, which would compromise the final yield of the bioprocess.

Another critical factor in fed-batch operation is the control of process parameters. The addition of external nutrients affects several aspects of fermentation: biomass, product and substrate concentrations, dissolved oxygen, growth rate, and more. Open-loop and closed-loop control systems are the most commonly used in fermentation; however, new strategies are continuously developed and studied to ensure successful fed-batch operation.
In continuous operation, both fresh medium is fed into the bioreactor and fermentation broth is removed, maintaining an internal steady state (chemostat) with generally constant volume throughout the process.

Factors Affecting Scale-up: Agitation, Aeration, and Viscosity
Most industrial microbial fermentation processes are aerobic and carried out in aqueous media rich in macro- and micronutrients. Generally, these fermentation broths are viscous and exhibit non-Newtonian fluid behavior. In these processes, oxygen is essential for microbial growth, maintenance, and the production of biological metabolites. Therefore, sufficient oxygen supply to the system must be ensured, and oxygen transfer in the fermentation broth must be characterized.

In industrial aerobic processes, aeration is challenging due to the low solubility of oxygen in water, which must overcome several diffusion barriers to reach the microbial cells. These factors must therefore be considered during scale-up. Different agitation and aeration systems, as well as viscosity control over the course of fermentation, can be implemented in bioreactors to provide the required oxygen supply, efficient mass and heat transfer, and homogeneity within the vessel. Agitation is strictly dependent on the type of bioreactor used. The microbial strain must also be considered, as some microorganisms are more sensitive to high agitation rates than others.

Aeration is typically provided by a system consisting of an air compressor (which pumps air into the bioreactor), an air cooler (to cool the air temperature if necessary), and a sparger (which helps distribute air within the bioreactor in conjunction with the agitation system). The aeration rate should be determined by the Oxygen Uptake Rate (OUR), i.e., the amount of oxygen consumed by the microorganisms over time. On the other hand, the Oxygen Transfer Rate (OTR) is related to the oxygen concentration transferred through the medium over time and is directly linked to the volumetric mass transfer coefficient (kLa). Thus, OTR and kLa can be used as scale-up criteria to ensure adequate aeration of the bioreactor system.

Agitation and aeration may induce foaming during fermentation. Moreover, certain bioprocesses—such as the production of biosurfactants—generate more foam due to the nature of the bioproducts. Since foam impairs air dispersion, adequate headspace volume must be considered in bioreactor design, and a foam control system (including antifoam agents if necessary) should be installed.

Viscosity is another parameter influencing aeration. Increased medium viscosity affects OTR, bubble coalescence, and distribution. Viscosity can arise from the presence of solids, elevated microbial biomass, and product formation—especially when the product itself is viscous. In such cases, the fermentation broth becomes increasingly viscous over time, making agitation and aeration critical factors that must be optimized at laboratory and pilot scales before industrial implementation. Investigating different impeller configurations and aeration rates is essential for successful bioprocessing.

Similarity Criteria

Beyond all the relationships established for bioprocess scale-up, scale-up ultimately relies on similarity. The developed bioprocess and/or bioreactor will have certain conditions, parameters, relationships, and/or ratios that must be kept constant across all scales to ensure process reproducibility and feasibility, with the same goal: high-yield production of a specific biomolecule.
It is therefore necessary not only to establish a robust and optimized process at the laboratory scale but also to maintain these conditions during scale-up. Obviously, it is impossible to preserve all characteristics across scales, but several are indispensable. These similarities can be chemical and biochemical, mechanical, thermal, and geometric.

The main geometric ratio to be maintained across scales is the ratio of tank height (H) to diameter (D), which varies with bioreactor type. Generally, a higher H:D ratio implies greater heterogeneity within the bioreactor, as agitation may differ between the top and bottom regions. This ratio must therefore be considered in large-scale bioreactor design (for stirred tanks, by adjusting the number and/or spacing of impellers to ensure coverage of all zones in the system).

Other defined relationships include the ratio of liquid height (HL) to reactor height (HR), which should be between 0.7 and 0.8 to ensure adequate headspace and accommodate foaming. Additionally, relationships between impeller diameter (DI), baffle width (Db), and bioreactor diameter (Dt) in stirred tanks are important. These geometric relationships are highly useful for scale-up, and establishing such criteria is critical. However, other biochemical parameters (e.g., physicochemical properties, microbial growth rate) must also be considered, alongside multivariate analysis, to achieve proper process replication.

A bioprocess begins at the laboratory scale, where process conditions are defined and optimized. These defined conditions must then be transferred to larger scales (pilot and industrial). The success of process transfer depends on the correct selection of scale-up strategies based on key parameters—such as agitation and/or aeration—that must be maintained at the new scale.
Each process is unique, with specific conditions where the ideal combination of aeration and agitation promotes optimal microbial growth and efficient production of the desired bioproduct. It is also important to select the appropriate bioreactor model and operating mode, and to define a combination of scale-up criteria for improved process performance. Furthermore, even while the basic bioreactor design remains consistent, new studies on modifications and scale-up are continuously conducted to adapt to the evolving biotechnology industry.

Duoing Biotechnology fully supports microbial fermentation-based bioproduction, including the manufacturing of recombinant proteins, nucleic acids, and synthetic biology-related products. Our bench-top glass bioreactors and stainless-steel bioreactors support the full spectrum from laboratory process development to pilot and commercial production, helping to enable faster, more efficient, and more sustainable biomanufacturing.

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