Quantification of the morphology of sucrose crystals by image analysis

• Type: Article in International Scientific Journal
• Date: 2003

Authors

Faria, N (Author) Other; Pons, MN (Author) Other; de Azevedo, SF (Author) FEUP; Rocha, FA (Author) FEUP; Vivier, H (Author) Other

Journal

Title: Powder Technology

Vol. 133 No. 1

Pages: 54-67

ISSN: 0032-5910

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 48 Citations

ISI Web of Science

Scopus - 57 Citations

COMPENDEX

Scientific classification

FOS: Engineering and technology > Chemical engineering

Other information

Authenticus ID: P-000-FVC

DOI: 10.1016/s0032-5910(03)00078-0

Abstract (EN): Automated image analysis procedures combined with discriminant factorial analysis (DFA) have been developed to classify agglomerated sucrose crystals according to their shape. The crystals are observed by optical microscopy. Agreement between manual and automated classifications is 90% in average. Each crystal is characterised by its own degree of agglomeration, calculated from the output of the classification. Mono-crystals are further classified into two types according to the habit of their projected silhouette. The use of these techniques is illustrated on commercial sucrose and batch-crystallised particles obtained in a lab-scale reactor in presence of impurities (dextran, raffinose, glucose, sodium carbonate) known to modify the sucrose crystal habit.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14