Vi-CELL MetaFLEX
속도, 안정성, 적은 샘플량
65µL의 소량의 시료를 측정할 수 있고 단 35 초만에 결과를 보여주는 새로운 Vi-CELL MetaFLEX 세포배양액 분석기는 pH, pO2, pCO2 포도당, 젖산염, 전해질 등을 분석 합니다. 유지 보수 비용이 적고 신뢰성이 높으며 설치 공간이 매우 작기 때문에 테스트 샘플을 신속하며 쉽고 정확하게 프로파일링하여 테스트 세포 배양의 균형, 생존 및 성장을 유지하는 정교한 연구에 필요한 솔루션입니다.
Explore Vi CELL MetaFLEX Models
Vi-CELL MetaFLEX 제품 특징
작동
- 35초* 만에 결과 확인 가능
- 소량 샘플(65 μL, 전체 파라미터)*
- 시간당 44개*의 샘플 처리
- 샘플당 필요한 시간은 1분*
- 하루 평균 23.5시간** 가동
*시작 과정에서 변동 가능
**시작 과정에서 변동 가능(시스템 보정의 경우 2.5분으로 가장 오랜 시간 소요)
품질 관리
- 3가지 전용 QC 솔루션
- 자동 장애 감지 및 해결
- 지속적인 시스템 및 분석 점검
- QC를 통과하지 못한 파라미터 자동 차단
- 맞춤형 QC 일정
21 CFR Part 11 준수 가능
- 샘플 결과 로그: 2000
- 활동 로그: 5000
- 교정 조정 로그: 1000
- 암호 보호 기능으로 데이터 보안 유지
- 전자 서명 기능
- 보안 사용자 로그인 (8개의 사용자 수준 권한)
- 관리 구성 도구
응용분야
- R&D
- QC
- 생산
소규모 및 대규모 세포 배양 작업 모두에 이상적인 Vi-CELL MetaFLEX는 빠르고 정확하게 가스 및 대사물질을 분석합니다.
Frequently Asked Questions
At the core of biotechnological manufacturing lies the cultivation of living cells or microorganisms under tightly controlled and reproducible conditions to safeguard cell health, metabolic balance and long-term productivity. Within a bioprocess, the biological system formed by these cells operates in continuous interaction with its physical and chemical environment, and its metabolic state, activity and productivity are highly sensitive to even subtle environmental perturbations. Nutrients consumed by the cells and metabolites produced during cultivation serve as essential indicators of cellular physiology, providing direct insight into:
- Cell viability
- Stress responses
- Metabolic flux
- Product formation
Metabolites reflect the physiological state of cultures in real time (or near real time) and their analysis provides important data on:
- Cell health and viability: Detecting stress and maintaining favorable growth conditions.
- Metabolic balance: Understanding fluxes to minimize byproduct accumulation.
- Process consistency: Reducing batch-to-batch variability through informed control.
- Productivity and quality: Aligning upstream conditions with downstream requirements and critical quality attributes (CQAs).
Across cell culture-based bioprocesses, including microbial and mammalian systems, tight control of key bioanalytes and metabolites is fundamental to maintaining cell health, preserving metabolic balance, ensuring reproducible batch performance, and maximizing yield. Cell growth and productivity are governed by the dynamic consumption of nutrients such as carbon sources, amino acids, vitamins, and trace elements, along with the accumulation of metabolic byproducts including lactate and ammonium, all of which can significantly influence process performance and product quality. Comprehensive metabolite monitoring provides critical insight into intracellular and extracellular environments, enabling informed control strategies during upstream cultivation and media optimization. Beyond cultivation, downstream processing frequently represents a major bottleneck, requiring efficient recovery of target products from complex reaction matrices; here again, detailed bioanalytical monitoring is essential to optimize recovery efficiency, preserve biological activity, and meet stringent regulatory and sustainability requirements. Collectively, analytics across upstream and downstream stages constitute a cornerstone of bioprocess understanding, optimization, quality assurance and consistent manufacturing outcomes [Scheper et al., 1999; Vijayasankaran, 2014].
Regulatory agencies are increasingly setting expectations for real-time monitoring and enhanced process control through the adoption of Process Analytical Technology (PAT) and Quality by Design (QbD) frameworks. Introduced by the U.S. FDA, PAT promotes real time (or near real time) measurement of critical process parameters and bioanalytes to enable proactive control strategies, moving away from reliance on end product testing. This regulatory shift reflects a broader transition toward manufacturing approaches that emphasize process understanding, transparency and lifecycle management. As biologic drugs continue to expand in complexity and clinical importance, regulators now expect manufacturers to demonstrate robust control strategies supported by timely, high-quality process data to ensure consistent product safety, efficacy and quality throughout commercial production [FDA, 2004; Rathore & Winkle, 2009].
The complex interplay between cells, environment, and metabolite dynamics ultimately determines batch consistency, yield and product quality, making comprehensive monitoring and control indispensable for steering biochemical reaction networks toward desired outcomes [Scheper et al., 1999]. These considerations are especially critical in the production of biotherapeutics that are used for treating a wide range of medical conditions, including:
- Cancers
- Cardiovascular diseases
- Organ transplant rejection
- Respiratory diseases
- Autoimmune diseases
- Neurological diseases
The steadily increasing number of approved biotherapeutic products reflects both their clinical importance and the pharmaceutical industry’s progress in developing robust, scalable bioproduction processes, particularly for complex modalities such as monoclonal antibodies [Coulet et al., 2022].
A rapid and accurate bioanalyte analyzer designed for applications across R&D, quality control and manufacturing must prioritize fast, precise measurement of critical culture variables using minimal sample volumes. By providing multiparameter readouts from small samples, such systems deliver actionable insights closer to the time of sampling, enabling earlier detection of metabolic shifts and more consistent control of the cell culture environment. This tight integration of rapid measurement with existing workflows: [Michelle et al. 2023]
- Supports timely decision-making
- Enhances process robustness
- Improves alignment with PAT and QbD principles
- Contributes to more reliable and efficient bioprocess development and manufacturing
An example of this class of solutions is the Vi-CELL MetaFLEX Analyzer, which illustrates how advances in sensor miniaturization, automation and integrated quality management can be applied to routine bioanalyte monitoring in mammalian and insect cell culture processes [Michelle et al.]. The system includes automated quality checks and continuous performance monitoring, with features such as air detection and configurable QC routines to help ensure reliable measurements and maintain data integrity during routine operation.