loq based on calibration curve
Posted: Tue Mar 02, 2010 9:17 pm
				
				Hello all,
i have a question concerning the loq determination based on a calibration curve with samples in the range of the loq.
what is the lower limit in sample concentration allowed to use for this determination? according to my colleague samples below loq are by definition unreliable, therefore a sample with a concentration at, or just below loq should be the lowest point in the calibration curve used. in my opinion, lower points are allowed (if not needed), since the uncertainty in these points is part of the determination. however, there should be a limit, i would say lod.
it is hard to find clear information on the requirements for this determination. for example: the number of calibration points for the curve, the range of the curve.
additionally: is there preference which σ to use? residual standard deviation or the standard deviation of y-intercepts?
			i have a question concerning the loq determination based on a calibration curve with samples in the range of the loq.
what is the lower limit in sample concentration allowed to use for this determination? according to my colleague samples below loq are by definition unreliable, therefore a sample with a concentration at, or just below loq should be the lowest point in the calibration curve used. in my opinion, lower points are allowed (if not needed), since the uncertainty in these points is part of the determination. however, there should be a limit, i would say lod.
it is hard to find clear information on the requirements for this determination. for example: the number of calibration points for the curve, the range of the curve.
additionally: is there preference which σ to use? residual standard deviation or the standard deviation of y-intercepts?