Augmented Classical Least Squares (ACLS) is a quantitative analysis technique based on the classical least squares algorithm. It allows additional environmental factors to be incorporated into an existing method to correct for sources of spectral variation not explicitly included in calibration models, including room temperature, humidity, etc.
Product Detail
ACLS Analysis for TQ Analyst Augmented Classical Least Squares (ACLS) is a quantitative analysis technique based on the classical least squares algorithm. It allows additional environmental factors to be incorporated into an existing method to correct for sources of spectral variation not explicitly included in calibration models, including room temperature, humidity, etc.
Product Detail ACLS Analysis for TQ Analyst was developed in collaboration with Sandia National Laboratories. Sandia's patented algorithm is licensed by Thermo Scientific and incorporated into TQ Analyst to offer a robust method for quantitative analysis when method transferability is essential to your quality control processes.
Augmented Classical Least Squares (ACLS) is a quantitative analysis technique based on the classical least squares algorithm. It allows additional environmental factors to be incorporated into an existing method to correct for sources of spectral variation not explicitly included in calibration models. These environmental factors can include changes in:
Room temperature
Humidity
Sampling conditions, such as the use of liquid cells of the same type but from different manufacturers
Sampling technique
ACLS corrections require no modification to the analysis method. ACLS works independent of the method by using additional environmental information. At each location to which the method is deployed, special standards, referred to as Transfer Standards, are collected. Transfer Standards allow the quantitative model to be adjusted without affecting the original method. Any spectral variation inherent to the environment is modeled through the Transfer Standards and accounted for in the quantification of your samples. Depending on environmental factors, this can be done with very few or many standards. Also, as factors in the environment change, the transfer standards associated with the method can be updated, allowing for easy method maintenance. The Transfer Standards are unique for each environment. This means a method can be developed and deployed successfully to multiple locations without changing the original method, thus minimizing method qualification efforts.
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