کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5471862 | 1519505 | 2017 | 10 صفحه PDF | دانلود رایگان |
- Mineral contents in sugarcane stalks were analysed by non-destructive method.
- The K+ was the most abundant mineral in the sugarcane as compared to Na+ and Mg2+.
- Spectroscopy and PLSR were effective for estimating sugarcane mineral content.
- This research presented a novel technique for nutrient monitoring in sugarcane.
Mineral contents in the sugarcane juice are important qualitative variables to be used in the development of new products and to establish physicochemical criteria for food processing. The objective of this study was to estimate the mineral contents (K+, Na+, and Mg2+) in sugarcane stalk samples by visible/near infrared (Vis/NIR) spectral reflectance measurements and multivariate data analysis. Four sugarcane varieties were cultivated under different saline conditions in a greenhouse. The spectral reflectance of stalk surface was measured with a portable spectrometer. The juice mineral compositions were determined by a reference laboratory method. Partial least squares regression (PLSR) was used for calibrating the estimation models. The most abundant mineral in the sugarcane juice was K+ (310.01-561.48Â mg 100Â mlâ1) as compared to Na+ (4.63-122.96Â mg 100Â mlâ1) and Mg2+ (6.93-18.78Â mg 100Â mlâ1). During the calibration process, the proposed models presented low root mean square errors (RMSE) for calibration (62.46, 25.70, 2.36, and 0.05Â mg 100Â mlâ1), and for cross-validation (90.08, 30.86, 3.79, and 0.06Â mg 100Â mlâ1) for K+, Na+, Mg2+, and Na+/K+ ratio, respectively. Results were also satisfactory for the external validation with low root mean square error (27.30, 10.69, 0.57, and 0.03Â mg 100Â mlâ1), and mean bias error (â4.45, 6.57, 0.07, 0.01Â mg 100Â mlâ1), as well as high coefficients of determination (0.78, 0.89, 0.93, and 0.74), for K+, Na+, Mg2+, and Na+/K+ ratio, respectively. Spectrometry combined to the PLSR technique resulted in an efficient, quick, and non-destructive method for evaluating sugarcane mineral contents.
Journal: Biosystems Engineering - Volume 156, April 2017, Pages 17-26