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Attention all scientists and researchers! Are your analytical methods accurate, precise, and reliable? Check out our guide to Analytical Method Validation to ensure that your assays are suitable for their intended purpose. Even if not required, partial validation is still crucial for method reliability. https://lnkd.in/eiAvyVeN #science #methodvalidation

🔬Analytical Method Validation: The Power of Specificity🔬 Specificity. This critical parameter is often divided into three key areas: identification, assay, and purity. Here's a quick rundown: 1️⃣ Identification: Specificity starts with the ability to correctly identify the substance under examination.  2️⃣ Assay: The assay is a procedure that quantitatively measures the amount of a specific substance in a sample. High specificity in an assay means that the method can accurately measure the target analyte without interference from other components in the sample. 3️⃣ Purity: This involves determining the percentage of the target substance in a given sample. A highly specific method will accurately measure the purity of a sample, even in the presence of other substances. In analytical science, specificity is not just a parameter; it's a promise of accuracy, reliability, and integrity in our work. It ensures that our methods are robust, our data is reliable, and our conclusions are valid. #AnalyticalScience #MethodValidation #Specificity #ScienceCommunication

Optimise your bioprocesses with our #chemistry expertise, from designing chemo-enzymatic routes and synthesising intermediates to delivering analytical methods. Our approach identifies and resolves process limitations, enabling seamless recovery of active molecules. Discover how the chemistry capabilities of our multidisciplinary team can help you. Follow the link: https://ow.ly/lQPg50QsYrV #ChemistryInBioprocessing

🪄 Modelling Magic: Problem-solving made easy with Owen Julianto Jonathan Get practical insights on improving operational efficiency and making data-informed decisions in our 1-hour webinar "Data-Driven Discoveries: Advancing Engineering with Predictive Modelling" hosted by Institution of Chemical Engineers (IChemE). Owen will take you through methods to visualize interactions, enhance process understanding, and identify optimal settings. This session is perfect for scientists and engineers in the pharma, biotech, chemical, and process industries eager to utilize the power of predictive modelling. 👉 Remember to register: https://go.jmp/45GruB4 #PredictiveModelling #DataScience #ProcessOptimization #JMP #BigData

Over the past 20 years, continuous #FlowChemistry techniques have revolutionized early #DrugDiscovery programs, making the process faster, safer and more efficient. This is opening doors to new chemistries, slashing costs and saving resources. This article from Andrew Mansfield, Flow Chemistry Leader at Syrris, in #ChemistryToday from tks | publisher, event organiser, media agency explores the game-changing impact of automated techniques in synthesis, purification and analysis, propelling novel compounds from concept to reality at unprecedented speeds. Read more: https://ow.ly/wESj50S3N9V #chemistry #automation #PharmaInnovation

📢 AI and Continuous Flow Chemistry Unite! 📢 I’m happy to share the most awaited development from our colleague's (Mahesh Uppada) team at Dr. Reddy's Institute of Life Sciences. Introducing their Latest Research: “Supervised Machine-Learning Algorithm using Low Data Sets: Flow Chemistry Optimization of the Key Urea Moiety Construction in Larotrectinib.” They have seamlessly combined three powerful elements: 1. Artificial Intelligence 🤖 2. Continuous Flow Chemistry ⚗️ 3. Remarkable Results 📈 These elements aren’t separate innovations—they come together as one cohesive force to transform pharmaceutical synthesis. Curious to see how we at DRILS did it? Dive into the full paper and discover the future of drug development. 🔗 Read the full paper here on OPRD https://lnkd.in/g5SNvkUz Let’s shape the future of pharmaceuticals together! 🚀 #Innovation #PharmaceuticalResearch #AI #ContinuousFlowChemistry #DrugDevelopment #Research #Teamwork #DRILS #DrReddys #OPRD #Anticancer #Machinelearning #Reaction #Optimization #Frugal #Data

Identifying and controlling unknown impurities found in chemical reactions is a vital part of novel molecular discovery, such as for new drug approval and new material applications. However, the traditional approach to impurity profiling is time-consuming and challenging, often requiring extensive troubleshooting efforts from experienced chemists.   Introducing Chemical.AI’s Impurity Prediction: our AI-powered platform accurately predicts impurities based on molecular mass and reactants' information.   Here's how it works: simply input the impurity mass obtained from your experiment and provide the names of reagents and solvents used. ChemAIRS will provide a comprehensive list of potential impurity structures and sort them by likelihood, with the unique ability to exam various types of reactions in a short time, including those that may be unfamiliar to many chemists.   Employ Chemical.AI today to boost your impurity identification experience with:   🚀 Speed: accelerating the impurity analysis process, fast-tracking drug development; 🎯 Accuracy: predicting impurities with over 90% accuracy, setting a new standard in the field; 📈 Efficiency: reducing manual troubleshooting, allowing scientists to focus on innovation.   Stay ahead of the curve and shape the future of chemistry with Chemical.AI. Visit chemical.ai or email contact@chemical.ai to request a 2-week free trial.   #ImpurityPrediction #ChemicalAI #Innovation #MolecularDiscovery #ChemAIRS #science #AI

As part of our continued validation series, today's topic is how to verify accuracy or recovery. Accuracy or recovery The ability to recover the correct amount of analyte present in the specimen. Verification process: accuracy can be verified only when the correct amount of analyte (the assigned value) is known. While it is possible to evaluate recovery using a single replicate, assaying 2 to 4 replicates provides a more reliable estimate. Key statistic: Recovery = 100× measured mean/assigned value. Criteria: Allowable Systematic Error (SEa) A specimen passes accuracy if its mean measured value is within SEa. Check your validation report and find out how your lab verified accuracy and what evaluation criteria were used. Stay tuned for more posts in this series. #labprofessionals#validationseries#accuracy#awareness

Are you interested in optimizing chemical synthesis AND sustainability? Check out this insightful white paper hosted on Chemistry World: "Optimising synthesis: SYNTHIA & green chemistry". Learn how SYNTHIA retrosynthesis software is revolutionizing the field by reducing step counts, improving yields, and enhancing atom economy, all while reducing environmental impact. Discover practical applications through detailed case studies and gain valuable insights into how computer-assisted tools like SYNTHIA can generate innovative ideas and optimize synthetic pathways in the lab. #GreenChemistry #ChemicalSynthesis #SYNTHIA

Externalization and/or Collaboration in BioPharma today are highly adopted practices. If your scientific software environment is not adequate for this type of work, your organization will suffer in both time and money. Check out our latest Industry Perspective on this topic and learn what you should expect or need in your scientific software to be successful. #eln #collaboration #externalization #fairdata #efficiencygain https://lnkd.in/eBUgX4jU