
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
‘Old’ HPLC methods with long run times are being altered or surpassed by newer UHPLC or core-shell methods in order to save time and cost. In this application note we show how with the use of 3 simple equations transfer of older methods can be easily achieved onto newer core-shell particles. We show the example of a pharmaceutical drug and its impurities being reduced from a 30minute run time down to less than 10minutes. Using the calculations correctly means that no loss of resolution is seen even with the decrease in retention time.






