The influence of new herbicide ZJ0273 on the total- and branched-chain amino acids in oilseed rape (Brassica napus L.) leaves as revealed by near-infrared spectroscopy

2014 ◽  
Vol 36 (8) ◽  
pp. 2149-2156 ◽  
Author(s):  
Tian Tian ◽  
Zonglai Jin ◽  
Basharat Ali ◽  
Xiang Guo ◽  
Fei Liu ◽  
...  
2010 ◽  
Vol 4 (7) ◽  
pp. 1314-1321 ◽  
Author(s):  
Fei Liu ◽  
Zonglai L. Jin ◽  
Muhammad Shahbaz Naeem ◽  
Tian Tian ◽  
Fan Zhang ◽  
...  

Author(s):  
Ashley Ammeter ◽  
Kenny So ◽  
Rob Duncan

Globally, there is an increasing demand for sources of plant-based protein. While Brassica napus L. is an important oilseed crop worldwide, there is also interest in improving its ability to serve as a valuable source of plant-based protein. Cruciferin, a seed storage protein that makes up 60% of the protein found in mature seeds of B. napus, is of interest for human consumption as a source of protein and as an ingredient in food products due to its functional properties. Existing methods for quantification of cruciferin protein are often time consuming and destroy the seed. This study explored the potential for the measurement of cruciferin protein content in whole seeds of B. napus by near-infrared spectroscopy (NIRS), to allow for efficient and non-destructive screening of breeding material. An enzyme-linked immunosorbent assay (ELISA)-based reference method was utilized to assess cruciferin content in a diverse population of B. napus. Scanning of whole seed samples produced spectra that were used to develop NIRS calibration equations. Statistical analysis of the calibration results indicated that the NIRS equations developed are poorly suited for prediction of cruciferin content.


2021 ◽  
Vol 353 ◽  
pp. 129372
Author(s):  
Zhiming Guo ◽  
Alberta Osei Barimah ◽  
Limei Yin ◽  
Quansheng Chen ◽  
Jiyong Shi ◽  
...  

2011 ◽  
Vol 301-303 ◽  
pp. 1093-1097 ◽  
Author(s):  
Shi Rong Ai ◽  
Rui Mei Wu ◽  
Lin Yuan Yan ◽  
Yan Hong Wu

This study attempted the feasibility to determine the ratio of tea polyphenols to amino acids in green tea infusion using near infrared (NIR) spectroscopy combined with synergy interval PLS (siPLS) algorithms. First, SNV was used to preprocess the original spectra of tea infusion; then, siPLS was used to select the efficient spectra regions from the preprocessed spectra. Experimental results showed that the spectra regions [7 8 18] were selected, which were out of the strong absorption of H2O. The optimal PLS model was developed with the selected regions when 6 PCs components were contained. The RMSEP value was equal to 0.316 and the correlation coefficient (R) was equal to 0.8727 in prediction set. The results demonstrated that NIR can be successfully used to determinate the ration of tea polyphenols to amino acids in green tea infusion.


2005 ◽  
Vol 66 (2) ◽  
pp. 175-185 ◽  
Author(s):  
Rafael Font ◽  
Mercedes del Río-Celestino ◽  
Elena Cartea ◽  
Antonio de Haro-Bailón

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