/   Home   /   Newsroom   /   Research News

Scientists Propose A Calibration Transfer Optimized Single Kernel Near-infrared Spectroscopic Method

Jul 12, 2019     Email"> PrintText Size

Recently, Prof. WU Yuejin and his colleagues from Institute of Technical Biology & Agriculture Engineering, Hefei Institutes of Physical Science (CAHIPS) developed an optimizing method to improve the prediction performance of single kernel near infrared spectroscopic analysis.

Single kernel near-infrared spectroscopy (SKNIRS) is a rapid, non-destructive, and multi-component analysis technique to detect the composition of individual crop seed in early generations. It is expected to be widely used in the seed breeding industry to improve the efficiency of seed breeding.

However, due to the irregular physical characteristics, the heterogeneous constituent distributions of individual seeds, and the insufficient detection accuracy of the reference chemical method, the prediction performance of SKNIRS is reduced and the its application is limited as well.

To overcome those problems, Prof. WU and his colleagues proposed a calibration transfer optimized SKNIRS method.

The calibration transfer is often used to calibrate the spectra measured on different instruments, and in this study, it was innovatively applied to solve the individual seed detection.

The team used a calibration transfer algorithm, spectral space transformation (SST), to transfer the spectra profile of single seed into the corresponding spectra profiles of single dehusked seed and seed flour for further analysis.

After the above treatments, the prediction results of seed constituent near infrared analysis models were close to or even better than those of the direct method.

According to the result, the team believed that the difficulties encountered in SKNIRS might be overcome.

This work has been successfully applied to the detection of protein content of single rice kernels, and it could be popularized and applied in more seed constituents and more crop seeds.

This work was financially supported by the National Natural Science Foundation of China and the Strategic Priority Research Program of the Chinese Academy of Sciences.


The near-infrared diffuse transmission spectra of three rice forms (single rice kernel, single brown-rice kernel and rice flour) can be transferred to each other by using SST algorithm (Image by XU Zhuopin)

(Editor: ZHANG Nannan)

Related Articles

protein;vaccine;respiratory syncytial virus;IgG Fc fragment

F-Fc Protein: A Safe and Effective Vaccine Candidate for Respiratory Syncytial Virus

Jun 04, 2019

In a recent study, the research group led by Prof. XIAO Gengfu from Wuhan Institute of Virology developed a novel vaccine antigen, respiratory syncytial virus glycoprotein F fused with an IgG Fc fragment (F-Fc).

protein;antitumor immunity;FBXO38

Shanghai Scientists Make Important Cancer Finding

Dec 03, 2018

Shanghai scientists have discovered a protein called FBXO38 that affects the body’s antitumor immunity, providing possible new insight into cancer immunotherapy. In vitro studies performed by a group of researchers at the Shanghai Institute of Biochem...

protein;protein research;infrastructure;big data;supercomputing;bioimaging

Protein Science Infrastructure Passes Evaluation in China

Dec 03, 2018

A major scientific and technological infrastructure in protein science research has passed evaluation, the Science and Technology Daily reported Friday. The infrastructure, featuring advanced technology platforms in biomass spectrometry, biological big...

Contact Us

Copyright © 2002 - Chinese Academy of Sciences