Measurement of moisture and total reducing sugars using Near Infrared Spectroscopy /
0.61 and 0.016 % for moisture and sugars, respectively. The
| Main Author: | |
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1995.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | 0.61 and 0.016 % for moisture and sugars, respectively. The accuracy and feasibility of measuring moisture and total alternative to slow and tedious classical laboratory chemical analysis methods. Moisture reflectance spectra were analyzed conducted to improve the measurement accuracy, and further correction, and filtering coupled with statistical analysis correlation coefficient was 0.95 for moisture. The corresponding value for sugar was 0.975. Best results were cultivars in calibrating the prediction models. This study Determining compound levels in fruits and vegetables is develop the technique before indusuw implementation. for online industrial applications. In this project, the in the 900-1600 nm region. Transmission spectra from sliced Infrared Spectroscopy technique was investigated as an measurements using Near Infrared Spectroscopy are feasible in necessary in the food industry for appropriate management and obtained when models were created using single vegetable prediction models were obtained with a standard deviation of processing of these products. A fast, nondestructive and reducing sugar content in a vegetable medium using a Near reliable method of measuring compounds is extremely desirable required standards. Overall, the results showed that samples were tested within 2000 and 2500 nm. Using digital showed that when combined cultivars are used in calibrating signal processing techniques such as multiplicative signal the applications investigated; however, these results are in the prediction models, the predictive capability is below the the preliminary stages and more research needs to be tools such as partial least squares regression, the best |
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| Item Description: | "Major subject: Bioengineering". Vita. |
| Physical Description: | xv, 102 leaves : illustrations ; 28 cm. Also available online. Issued also on microfiche from Lange Micrographics. |
| Bibliography: | Includes bibliographical references. |