LiJianlong

Prof. Jianlong LI completed his 3 post-doctoral training in Hokkaido University, Lanzhou University and Yale University separately, and he has been a visiting scholar at Michigan State University, University of Southampton, University of Sydney and other international universities. He has completed 78 scientific research projects, including 10 international cooperation projects, 8 national key projects of China, 6 general programs of the National Natural Science Foundation of China, 26 engineering projects and 6 Industry-University-Research (IUR) projects. He has published 16 books and 798 papers, including 398 SCI articles and 8 sub-journal Nature. And he has applied for 48 invention patents and 68 software copyrights. Prof. LI has won Progress Prize in Scientific for many times, including 2 national progress prizes in scientific and 8 provincial progress prizes in scientific. And he was selected into the 100 Talents Program of the Chinese Academy of Sciences and was awarded the honour of Tianshan Scholar and Jinshan Scholar.

Bio-ecological health analysis and drug food safety assessment

At present, we have completed the research and development of peach preservation technology and product development and promotion application. Focusing on the world problem of peach preservation and the actual needs of enterprises, on the basis of more than ten years of work, we have systematically completed the research and development of the key biotechnology of peach preservation and its preservative paper and preservative agent. And we have obtained 6 authorized invention patents, published 1 book and published 68 scienti­ c and technological papers of various types, which basically solved the world problem of peach preservation. The popularization and application of this achievement has created an average annual pro­ t of more than $264534.34 for the production unit.

To build a high-accuracy model for predicting the inner physiological status of mechanically injured peaches during postharvest storage

We collected visible/shortwave near-infrared (Vis/SWNIR) diffuse reflection spectra (300–1150 nm) of peaches, and two drop heights (30 cm and 60 cm) were applied to study the variations in total soluble solids (TSS) polyphenol oxidase (PPO), malondialdehyde (MDA) and relative electrolyte leakage (REL) by percussive tests. After multiplicative scatter correction and Savitzky-Golay smoothing pretreatments, optimal feature selections from all wavelengths were determined using genetic algorithm (GA) in the partial least-squares (PLS) modeling. Through several verifications, the GA-PLS models showed good imitative effects and high precisions. They could predict the condition of peaches with minor injury, which are di cult to detect with the naked eye, to reduce loss in practical production and guarantee the food safety.

To develop an edible coating for preserving the postharvest quality and extending the shelf life of peaches 

We applied an edible coating composed by 10% sodium alginate (SA) with and without rhubarb (Rheum rhaponticum L.) extract to peach fruits. Variations in weight loss, firmness, soluble solids content (SSC), respiration rate, maleic dialdehyde (MDA) content, polyphenol oxidase (PPO) activity and sensory attributes were evaluated at room temperature. The effectiveness of rhubarb-SA coating to control postharvest decay of peach fruits was also investigated. Our study proves that the alginate coating entrapped with rhubarb extract has the potential to improve postharvest quality and prolong the shelf life of peach fruits.

The current research ‑ elds of our laboratory include:

(1) Biomass energy materials screening, cultivation and fuel ethanol production process research and development, crop straw biological treatment, energy grass industry development. (2) Fruits and vegetables rotting mechanism, preservation mechanism, cultivation and management. (3) Safety assessment of food preservative paper and preservative agent.

1. Xiaoyu Li, Jianlong Li*, et al. Rhubarb extract incorporated into an alginate-based edible coating for peach preservation[J]. Scientia Horticulturae, 2019, 257, 108685.

2. Du X L, Jianlong Li*, et al. Genetic algorithm optimized non-destructive prediction on property of mechanically injured peaches during postharvest storage by portable visible/ shortwave near-infrared spectroscopy[J]. Scientia Horticulturae, 2019, 249: 240-249.

3. Ying Liu, Jianlong Li*, et al. E‑ ects of Cryptococcus laurentii and chitosan on postharvest decay and storage quality in stored peaches[J]. African Journal of Food Science and Technology, 2019, 10(2): 29-37.

4. Weihong Zhou, Jianlong Li*. Prediction of cadmium concentration in brown rice before harvest by hyperspectral remote sensing[J]. Environmental Science and Pollution Research, 2018: 1-9.

5. Yangyang Liu, Jianlong Li*. Evaluating the responses of net primary productivity and carbon use efficiency of global grassland to climate variability along an aridity gradient[J]. Science of The Total Environment, 2019, 652: 671-682.

6. Qian Wang, Jianlong Li*. Rescaled Statistics and Wavelet Analysis on Agricultural Drought Disaster Periodic Fluctuations in China from 1950 to 2016[J]. Sustainability, 2018, 10(9): 3257.

7. LI Jianlong*, LU Xiaofei, ZHANG Jingjing, et al. The Current Status, Problems and Prospects of Researches on the Carrying Capacities of Ecological Environment in China. Journal of Resources and Ecology, 2019. 10(6): 605-613.

8. Weihong Zhou, Jianlong Li*, et al. Feasibility of Using Rice Leaves Hyperspectral Data to Estimate CaCl2-extractable Concentrations of Heavy Metals in Agricultural Soil. Sci Rep 9, 16084 (2019): 1-16.

9. Zhang Jingjing, Jianlong Li*, et al. Estimation of heavy metal concentration in rice leaves of farmland by hyperspectral leaf reflectance and partial least square regression[J]. African Journal of Food Science and Technology, 2019, 10(2): 56-64.

10. Wei Zhou, Jianlong Li*(Co-editor). Remote Sensing Monitoring and Evaluation of Degraded Grassland China[M]. Singapore: Springer Nature Singapore Pte Ltd. 2020. (ISBN978-981-32-9381-6).