Sanzyme Pharma Trainee Interview Questions and Answers

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle.

• Data is accurate if it is free from errors and reflects the true state of the information it represents.

• Data is consistent if it is uniform and follows a set of predefined rules or standards.

• Data is reliable if it can be trusted to be available and accessible when needed.

• Examples of maintaining data integrity include re...read more

Water content mechanism can be found through various methods and is important for various reasons.

• Water content can be measured through techniques such as gravimetric analysis, Karl Fischer titration, and moisture analyzers.

• Water content is important in industries such as food, pharmaceuticals, and cosmetics to ensure product quality and stability.

• Water content is also important in environmental studies to understand t...read more

Developing HPLC methods involves selecting appropriate columns and optimizing parameters.

• Choose a suitable column based on the analyte's properties and the separation goal.

• Optimize parameters such as mobile phase composition, flow rate, and temperature.

• Validate the method by assessing its selectivity, sensitivity, accuracy, and precision.

• Common column types include C18, C8, and phenyl.

• Other factors to consider include ...read more

Carbon loading in column refers to the amount of carbon used in the stationary phase of a chromatography column. Endcapping is a process to block the remaining silanol groups on the surface of the stationary phase.

• Carbon loading is typically expressed as a percentage of the total weight of the stationary phase.

• Higher carbon loading can improve the selectivity and retention of certain analytes.

• Endcapping is important to...read more

Data integrity is crucial for accurate decision-making and maintaining trust in the organization.

• Data integrity ensures that data is accurate, complete, and consistent.

• It is important to have proper data management policies and procedures in place.

• Regular data audits and checks should be conducted to ensure data integrity.

• Examples of data integrity violations include data entry errors, system glitches, and unauthorized...read more