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Biotechnology

Titration Theory and Practice

White Paper: Mettler Toledo

Titration is the method of analyzing the concentration of an unknown substance in a solution with the help of a titrant of known concentration based on the complete chemical reaction that occurs between the unknown substance and the titrant. It is one of the widely used laboratory technique of quantitative chemical analysis in the fields of chemical, electronic, food and beverage industries. The titration theory is determined by the type of the chemical reaction that occurs in the different titration process which is then monitored through a color indicator or potentiometric principle and a distinction between endpoint and equivalence point is made to establish the concentration of the unknown substance. Key takeaways from this white paper: Titration is a well-established analytic technique with higher precision and accuracy. It also provides good price and performance ratio compared to other techniques. Distinct differences between automated titration and manual titration are established. A complete guide for Karl Fisher’s titration process is provided in details. Detailed understanding of titration components and process.

Clean Balancing

White Paper: Mettler Toledo

A clean work area leads to better results contributing to a healthier environment. Cleaning imparts a significant effect to both the operator safety as well as minimizing the risk of cross-contamination. A Clean Balance for your laboratory is a first step towards safe and accurate weighing results. It also helps in providing an enhanced shelf-life to your instrument. Engaging into cleaning procedures, not only increases operating reliability, but also, reduces equipment failure rates. Find out more on balance cleaning through the Whitepaper below that will help in addressing your concerns: Are my equipments well cleaned, sterilized, decontaminated, or disinfected? Are you using the appropriate cleaning agent for your instrument? What are the standard balance cleaning procedures to be taken?

What are the best practice for correct use and maintenance of pipettes

White Paper: Mettler Toledo

While it is important for researchers to choose the most appropriate type and volume range of pipettes, it is equally important to establish a regular pipette testing program to confirm that performance remains within the specified limits, supported by preventive maintenance and calibration if necessary. The more frequent pipette performance tests, the sooner defective pipettes will be detected and taken out of service, decreasing the risk of incorrect results and helping to minimize the need for corrective action. For assuring pipette performance, organizations have to follow essential requirements of a pipette care, maintenance plan, regulatory scheduled testing, and maintenance. What is the use of pipette maintenance? What is the impact of pipette performance testing? What is the future of pipette performance management and storage of pipettes? Move ahead and read the following white paper that will address all your questions, including these: What are the various types of pipettes? What are the best practices for pipette performance management and pipette performance assurance? What are the different testing, calibration, and preventive maintenance for pipettes? How to find a good service provider and manage the full service cycle?

Impact of Pipetting Technique

White Paper: Mettler Toledo

A pipette being the most important of all equipments in a laboratory requires to be well chosen. The pipetting system helps researchers to make informed choices on various equipments for calibration and routine operations. Choosing the right pipette helps in achieving accurate results. Dosing small volumes of liquid into different apparatuses can be tiresome at times, and is practiced on daily basis for research purposes. Thus, it is essential to use high-quality pipettes and controllers for increased level of productivity, and reducing person-hours at laboratories. Read a detailed guideline on Pipetting Systems with the White paper published below to address your concerns: Does your current pipette equipment give results with precision and consuming less time? How does pipetting techniques and use of good quality pipettes made from PVDF polymers enhance your result accuracy? Is the right pipette chosen for conducting the research study?

WHAT IS CALIBRATION AND WHY IS IT SO IMPORTANT

White Paper: Mettler Toledo

The understanding of behavior process of weighing devices is known as calibration. A weighing instrument can be calibrated without making adjustments.  Calibration certificates have passed and failed sections to determine whether a measurement device is working ‘well enough’ with the help of tolerance. Standards weights are defined for particular units as test weight. The relationship between the known value and the measured value helps in understanding the behavior of the weighing instrument. Key takeaways from this white paper:   Calibration is not the same as an adjustment. The calibration process can be done without adjustments. Tolerance is gathered from a variety of sources and the correct tolerance does not exist. Measurement uncertainty determines the difference between actual value and the measured value. Calculation of measurement uncertainties helps in determining the minimum weight. The relative measurement uncertainty is smaller than the weighing tolerance requirement during weighing more than the minimum weight.

Considerations for Modernizing Scientific Compute Research Platforms

White Paper: Avere Systems

Present life sciences research organizations deals with petabytes of data which requires new performance and data management for IT infrastructures and storage solutions. To address the performance and data management issues found in life sciences organizations, a high performance hybrid file system is used which stores data closets to compute resources that can modernize infrastructure and enable discovery. The whitepaper addresses the following questions: What are the considerations for modernizing scientific compute research platforms? What is the impact of infrastructure issues on research and discovery projects? What changes have greatest impact on infrastructure?  What are the characteristics of a modern research environment infrastructure? What is the need for adopting a high performance hybrid file system?

Importance of Metadata Cataloging in Research

White Paper: Data In Science Technologies

Leveraging the DataLogger for Metadata Cataloging establishes a singular view of the meaningful attributes for your data and identifies access rights to this data. Data in Science Technologies is proposing the concept of a central Data Catalog called DataLogger, analyzes identified data sets and extracts the metadata into a searchable catalog. Read this informative whitepaper to learn more about how Metadata cataloging helps management make informed compliance decisions around Metadata and data created. It addresses: What are the features provided by DataLogger when it augments with HPC and analytics systems? How does DataLogger help in solving the Data Management issues? How does Data Logging work? What are the research facilities provided by the DataLogger? How research data can be systematically identified with a Data Catalog System? This Whitepaper on '' Importance of Metadata Cataloging'' highlights: Implementation of Data Catalog System Metadata Management Strategy around Research DataLogger Security and Features Taking full control of your Data Management using DataLogger Identifying what data exists in the environment

Disaster Recovery for HPC BioInformatics Environment

White Paper: Data In Science Technologies

The crux of disaster recovery planning is a detailed recovery plan based on a disaster recovery strategy tailored to the HPC environment. When things go awry, it's important to have a robust, targeted, and well-tested  Disaster Recovery Plan.  This whitepaper discusses the development, maintenance and testing of the strategy for a Disaster Recovery Plan in a HPC environment, as well as addressing the following questions: What are the steps taken by the larger strategic Disaster Recovery Plan which can be invoked to provide a limited set of benefits in a disaster situation? What are the common challenges faced by HPC Environment for the Disaster Recovery? What is the main purpose of a Business Continuity and Disaster Recovery Plan? Download this white paper which examines how Data in Science Technologies solves the problem of Disaster Recovery for a midsize HPC environment running an isolated system for research scientist and learn about: Top critical factors for the success of an IT Disaster Recovery Planning Process Requirements analysis in order to define the strategy for a Disaster Recovery Plan Strategic and tactical steps to provide a Disaster Recovery Solution (Disaster Recovery Strategy Examples) for the Bayesian Information Criterion (BIC) Cluster

Biomarkers and Acute Kidney Injury (AKI): Pre-analytical Considerations are Critical for Early Detection of AKI

White Paper: Pacific Biomarkers

Biomarkers for the prediction of acute kidney injury: A review on current status and future challenges Biomarker of acute kidney injury (AKI) is strongly associated with increased morbidity and mortality in critically ill patients. The approach to analyzing AKI biomarkers has been to provide pharmaceutical and biotech companies with services for testing robust novel biomarkers that have undergone thorough analytical validation and clinical qualification with the expectation to diagnose early organ injury. Read this insightful whitepaper on ''Biomarkers for early detection of acute kidney injury'' to know more on: How to target biomarkers that can detect acute kidney injury (AKI) and what the potential of an AKI biomarker program is. What are the issues surrounding the best methods of collecting and storing urine used for detection of AKI in human subjects? Acute kidney injury biomarkers performance assesment 

Incretins & Gastrointestinal Hormones: Pathophysiology and Pre-analytical Considerations

White Paper: Pacific Biomarkers

Testing for incretins, and other gut hormones, presents numerous challenges because of their instability. Therefore, proper sample collection and meticulous pre-analytical and analytical sample handling are crucial for successful quantification of these biomarkers. Incretins, which are insulinotropic gastrointestinal hormones, are produced mainly in K and L cells of the small intestine under the influence of nutritional stimuli. This insightful whitepaper sees into queries like: What are the significant challenges in the measurement of incretins and gut hormones? What is the best practice for minimizing pre-analytical variability associated with blood collection, processing and storage? What are the additional pre-analytical steps that should be considered when samples are obtained for quantification of active acylated ghrelin? Download this whitepaper that provides insights about the challenges, best practices and major concerns regarding commercial assays for reliable quantification of incretins and gut hormones and specific pre-analytical and analytical processes as well as data analysis to improve sensitivity.

Implementing a Clinical Data Repository and Analytics Platform in 90 Days

White Paper: EClinical Solutions, LLC

What is the need of having a Clinical Data Repository and Analytics solution? Well, implementing a Clinical Data Repository (CDR) within a meaningful timeframe and a reasonable budget does not have to be a major IT initiative. With the right technology partner, a CDR can be implemented in 90 days. The capabilities are growing quickly and robust CDRs are available that allow companies to reap considerable value from clinical trial data. This informative whitepaper talks about the desired functionality of the platform, and demonstrates the best practices for implementing a CDR while heeding to queries like: How to maximize and utilize all clinical and operational data for real-time healthcare analytics? What are the critical components in successfully implementing the CDR platform? What are the technology benefits of implementing a next generation CDR?

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