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The present study compares the perform ance of different multivariate calibration tech niques applied to four near-infrared data sets when test samples are well within the calibration domain. Three types of problem s are discussed: the nonlinear calibration, the calibration using heterogeneous data sets, and the calibration in the presen ce of irrelevant inform ation in the set of predictors. Recommendations are derived from the com parison, which should help to guide a nonchemometrician through the selection of an appropriate calibration method for a particular type of calibration data. A¯exible methodology is proposed to allow selection of an appropriate calibration tech nique for a given calibration problem.

Silver ions (Ag(+)) can be quantified in situ in the presence of AgNPs by using a colorimetric sensing probe (3,3',5,5'-tetramethylbenzidine). Interestingly, it also enables detection of the Ag(+) adsorbed on the AgNP surface. This is relevant to design new methods to make AgNPs while ensuring the total reduction of Ag(+).

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