Rapid Assessment of Quality Parameters in Processing Tomatoes using Handheld and Bench-top Infrared Spectrometers and Multivariate Analysis

Two portable infrared sensors were evaluated for the rapid determination of quality parameters in processing tomatoes. A total of 370 hot-break juices were prepared from ~40 processing tomato varieties grown in 5 California counties. The levels of sugars (glucose and fructose), acids (citric, malic, and glutamic), soluble solids, titratable acidity, and pH in these juices were determined using standard reference methods. For FT-IR analysis, juices were centrifuged, filtered through Whatman¿¿ filter (0.45¿¿m), and directly applied to the FT-IR crystal (15-40¿¿L) to obtain spectra. Partial least squares regression (PLSR) was used to generate correlation models, both calibration and validation, between the component concentration and the sample spectra. The PLS validation models showed good ability in estimating the sugars, acids and especially soluble solids in tomato for both the transmission DialPath portable system and bench-top unit using a triple-bounce ATR, judging by the high correlation coefficient of validation (Rval > 0.80) and low standard error of predictions (SEP). Prediction errors of 1.3 g/L for estimation of sugars (fructose, glucose), 0.22 ¿¿Brix, and 0.22 g/L for glutamic and citric acids were determined using the 1800-900cm-1 infrared region. The IR portable unit may provide the tomato processing industry with an efficient method for in-field, high throughput quantification of quality parameters in tomatoes.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Food Science and Technology

Grantor dc:publisher

The Ohio State University

Year dc:date

2012

Author dc:creator

• Wilkerson, Elizabeth Dalee

Contributors dc:contributor

• Rodriguez-Saona, Luis

• Agricultural Engineering
• Agriculture
• Food Science
• processing tomatoes
• infrared spectroscopy
• portable

Statement dc:rights

• unrestricted
• This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.

Language dc:language

English

Repository record dc:identifier

http://rave.ohiolink.edu/etdc/view?acc_num=osu1355426775

OAI identifier oai:identifier

oai:etd.ohiolink.edu:osu1355426775