Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Lina Guan has a total of 8 co-authors. Here are the top co-authors by number of shared publications:

  • Min Zhang

    School of Food and Health Beijing Technology and Business University Beijing China

    2 shared publications
  • Guodong Ye

    School of Food and Health, Beijing Technology and Business University, Beijing, China

    1 shared publication
  • Sailimuhan Asimi

    Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Technology and Business University Beijing China

    1 shared publication
  • Shan Liang

    Beijing Engineering and Technology Research Center of Food Additives, School of Food and Health, Beijing Technology and Business University (BTBU), Beijing 100048, China

    1 shared publication
  • Sixuan Li

    School of Food and Health, Beijing Technology and Business University, 11 Fucheng Road, Beijing 100048, China

    1 shared publication
  • Xin Ren

    Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China

    1 shared publication

Latest Publications

  • Research progress on processing and nutritional properties of fermented cereals

    by Guodong Ye, Lina Guan, Min Zhang

    Highlights •Fermentation can increase the content of bioactive components in cereals. •Fermentation can change the microstructure of cereal starch and dietary fiber. •Fermentation can improve the nutritional and processing properties of cereal. •Fermented cereals and their products contribute significantly to human health.


  • Open Access

    Fingerprinting of Volatile Organic Compounds for the Geographical Discrimination of Rice Samples from Northeast China

    by Sailimuhan Asimi, Xin Ren, Min Zhang, Sixuan Li, Lina Guan, Zhenhua Wang, Shan Liang, Ziyuan Wang

    Rice’s geographic origin and variety play a vital role in commercial rice trade and consumption. However, a method for rapidly discriminating the geographical origins of rice from a different region is still lacking. Therefore, the current study developed a volatile organic compound (VOC) based geographical discrimination method using headspace gas chromatography-mass spectrometry (HS-GC-MS) to discriminate rice samples from Heilongjiang, Jilin, and Liaoning provinces. The rice VOCs in Heilongjiang, Liaoning, and Jilin were analyzed by agglomerative hierarchical clustering (AHC), principal component analysis (PCA), and partial least squares discriminant analysis (PLS-DA). The results show that the optimum parameters for headspace solid phase microextraction (HS-SPME) involved the extraction of 3.0 g of rice at 80 °C within 40 min. A total of 35 VOCs were identified from 30 rice varieties from Northeast China. The PLS-DA model exhibited good discrimination (R2 = 0.992, Q2 = 0.983, and Accuracy = 1.0) for rice samples from Heilongjiang, Liaoning, and Jilin. Moreover, K-nearest neighbors showed good specificity (100%) and accuracy (100%) in identifying the origin of samples. In conclusion, the present study established VOC fingerprinting as a highly efficient approach to identifying rice’s geographical origin. Our findings highlight the ability to discriminate rice from Heilongjiang, Liaoning, and Jilin provinces rapidly.