Use of Fourier transform infrared spectroscopy and partial least squares regression for the detection of adulteration of strawberry purées

✍ Scribed by Holland, J K; Kemsley, E K; Wilson, R H

• Publisher: John Wiley and Sons
• Year: 1998
• Tongue: English
• Weight: 315 KB
• Volume: 76
• Category: Article
• ISSN: 0022-5142
• DOI: 10.1002/(sici)1097-0010(199802)76:2<263::aid-jsfa943>3.0.co;2-f

✦ Synopsis

Fourier transform infrared (FT-IR) spectroscopy and chemometrics have been combined to detect adulteration in strawberry pure es. The mid-IR spectra of 983 fruit pure es were used as the data for a partial least squares regression on to a binary dummy variable, that represents two sample types, strawberry or non-strawberry. Three hundred and seventy of the spectra were used as an independent test set, of which 94É3% were correctly assigned by the model. Strawberry pure es mixed with certain adulterants were included in the database to demonstrate that the detection of these adulterants was possible using this technique. The potential long-term stability of the model, developed with 1993 and 1994 fruit, was illustrated by analysing the spectra of fruit harvested in 1995, of which 96É6% were correctly assigned. A "blind testÏ of the model was carried out with a set of 23 fruit pure e samples prepared by an industrial collaborator. Twenty two of these samples were classiÐed in accordance with the description of the samples provided by the company.

1998 SCI.