Broad-based versus specific NIRS calibration: Determination of total solids in fresh cheese

• Published in: Analytica chimica acta Vol. 544; no. 1; pp. 82 - 88
• Main Authors: da Costa Filho, Paulo Augusto, Volery, Pascal
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Amsterdam Elsevier B.V 15.07.2005; Elsevier
• Subjects: Analytical chemistry; Broad-based calibration; Chemistry; Exact sciences and technology; Fresh cheese; Near infrared spectroscopy; PLS calibration; Robustness; Total solids content; Near infrared spectroscopy; PLS calibration; Total solids content; Robustness; Broad-based calibration; Fresh cheese; Performance evaluation; Performance characteristic; Calibration; Maintenance; Near infrared spectroscopy: Fresh cheese; Broad-based calibration: PLS calibration; Protein; Near infrared spectrometry; Fat; Relative error; Reliability
• ISSN: 0003-2670; 1873-4324
• DOI: 10.1016/j.aca.2005.03.022

The development of a broad-based near infrared spectroscopy (NIRS) calibration can be considered as an alternative approach to overcome the narrow concentration range of some analytical parameters in fresh cheese such as protein, fat, total solids content, etc. Applying this approach consists in putting together in one single calibration samples from different types of fresh cheese. The broad-based NIRS calibration developed in this study to predict the total solids content of various fresh cheeses shows better performance characteristics than the specific calibrations. For instance, the validation set for fresh cheese with low total solids (MQ) applied into the specific calibration for MQ fresh cheese presents relative standard error of prediction (RSEP) of 2.21% and the broad-based calibration using three and five types of fresh cheeses shows RSEP of 1.90% and 1.72%, respectively. The better performance of the broad-based calibration is linked to a better coverage of the calibration range and an increase of the number of samples. Besides, this approach presented some additional benefits for the calibration model, such as an increased robustness and reliability. The other major advantage is the reduced necessary maintenance of the calibration since there is only one broad-based calibration instead of many specific ones. And also eliminates the risk of the operator selecting the wrong calibration model.