{ "item_title" : "LCMS Method Development Nightmares", "item_author" : [" Mirela Gorjanu "], "item_description" : "LCMS Method Development Nightmares in Pharma Industry is a comprehensive and essential guide that directly confronts these real-world obstacles. This book is a deep dive into the most critical and often overlooked issues that plague analytical laboratories. the author provides a pragmatic, expert-led roadmap for mastering the intricacies of method development, with a specific focus on navigating the unique pressures of the pharmaceutical sector.The text provides a strategic toolkit for overcoming the pervasive problem of matrix effects in complex biological samples, offering advanced techniques to enhance data fidelity and ensure the integrity of your results. It delivers actionable insights into achieving and maintaining the ultra-high sensitivity required for trace analysis, dissecting the nuances of ionization and instrument parameters. Furthermore, the book provides a forward-thinking perspective on the integration of automation, addressing the critical balance between throughput and method robustness.With a strong emphasis on regulatory compliance, the book meticulously deconstructs common validation pitfalls and provides a framework for building an impeccable documentation system. By incorporating real-world case studies of method failures, the author transforms nightmares into powerful learning opportunities. This is not merely a book of theory; it is a battle-tested resource for seasoned professionals, lab managers, and quality assurance specialists who seek to elevate their LC-MS expertise, mitigate risk, and drive successful pharmaceutical outcomes.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/829/691/9798296918437_b.jpg", "price_data" : { "retail_price" : "9.99", "online_price" : "9.99", "our_price" : "9.99", "club_price" : "9.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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