Prediction of starch reserves in intact and ground grapevine cane wood tissues using near‐infrared reflectance spectroscopy. (21st February 2020)
- Record Type:
- Journal Article
- Title:
- Prediction of starch reserves in intact and ground grapevine cane wood tissues using near‐infrared reflectance spectroscopy. (21st February 2020)
- Main Title:
- Prediction of starch reserves in intact and ground grapevine cane wood tissues using near‐infrared reflectance spectroscopy
- Authors:
- Jones, Joanna
Eyles, Alieta
Claye, Caroline
Rodemann, Thomas
Dambergs, Bob
Close, Dugald - Abstract:
- Abstract: BACKGROUND: Near‐infrared reflectance spectroscopy (NIRS) technology can be a powerful analytical technique for the assessment of plant starch, but generally samples need to be freeze‐dried and ground. This study investigated the feasibility of using NIRS technology to quantify starch concentration in ground and intact grapevine cane wood samples (with or without the bark layer). A partial least squares regression was used on the sample spectral data and was compared against starch analysis using a conventional wet chemistry method. RESULTS: Accurate calibration models were obtained for the ground cane wood samples ( n = 220), one based on 17 factors ( R 2 = 0.88, root mean square error of validation (RMSEV) of 0.73 mg g −1 ) and the other based on 10 factors ( R 2 = 0.85, RMSEV of 0.80 mg g −1 ). In contrast, the prediction of starch within intact cane wood samples was very low ( R 2 = 0.19). Removal of the cane bark tissues did not substantially improve the accuracy of the model ( R 2 = 0.34). Despite these poor correlations and low ratio of prediction to deviation values of 1.08–1.24, the root mean square error of cross‐validation (RMSECV) values were 0.75–0.86 mg g −1, indicating good predictability of the model. CONCLUSIONS: As indicated by low RMSECV values, NIRS technology has the potential to monitor grapevine starch reserves in intact cane wood samples. © 2020 Society of Chemical Industry
- Is Part Of:
- Journal of the science of food and agriculture. Volume 100:Number 6(2020)
- Journal:
- Journal of the science of food and agriculture
- Issue:
- Volume 100:Number 6(2020)
- Issue Display:
- Volume 100, Issue 6 (2020)
- Year:
- 2020
- Volume:
- 100
- Issue:
- 6
- Issue Sort Value:
- 2020-0100-0006-0000
- Page Start:
- 2418
- Page End:
- 2424
- Publication Date:
- 2020-02-21
- Subjects:
- carbohydrates -- cane wood -- Pinot Noir -- Chardonnay
Food -- Periodicals
Agriculture -- Periodicals
664 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0010 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jsfa.10253 ↗
- Languages:
- English
- ISSNs:
- 0022-5142
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5055.000000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13306.xml