eCite Digital Repository

Prediction of starch reserves in intact and ground grapevine cane wood tissues using near infrared reflectance spectroscopy (NIRS)

Citation

Jones, JE and Eyles, A and Claye, C and Rodemann, T and Dambergs, RG and Close, DC, Prediction of starch reserves in intact and ground grapevine cane wood tissues using near infrared reflectance spectroscopy (NIRS), Journal of the Science of Food and Agriculture ISSN 1097-0010 (2020) [Refereed Article]


Preview
PDF
Pending copyright assessment - Request a copy
649Kb
  

DOI: doi:10.1002/jsfa.10253

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 (PLS) 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 (R2 = 0.88, root mean square error of validation (RMSEV) of 0.73 mg.g‐1) and the other based on 10 factors (R2 = 0.85, RMSEV of 0.80 mg.g‐1). In contrast, the prediction of starch within intact cane wood samples was very low (R2 = 0.19). Removal of the cane bark tissues did not substantially improve the accuracy of the model (R2 = 0.34). Despite these poor correlations and low ratio of prediction to deviation (RPD) 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.

Conclusion: As indicated by low RMSECV values, NIRS technology has the potential to monitor grapevine starch reserved in intact cane wood samples.

Item Details

Item Type:Refereed Article
Keywords:carbohydrates, cane wood, Pinot Noir, Chardonnay,
Research Division:Agricultural and Veterinary Sciences
Research Group:Horticultural Production
Research Field:Oenology and Viticulture
Objective Division:Plant Production and Plant Primary Products
Objective Group:Industrial Crops
Objective Field:Wine Grapes
UTAS Author:Jones, JE (Dr Joanna Jones)
UTAS Author:Eyles, A (Dr Alieta Eyles)
UTAS Author:Claye, C (Ms Caroline Claye)
UTAS Author:Rodemann, T (Dr Thomas Rodemann)
UTAS Author:Close, DC (Professor Dugald Close)
ID Code:136545
Year Published:2020
Deposited By:TIA - Research Institute
Deposited On:2020-01-07
Last Modified:2020-01-21
Downloads:0

Repository Staff Only: item control page