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Report title: Research on rapid detection of Baijiu raw materials and fermentation process substances based on hyperspectral imaging technology

Live broadcast time: 10:15-11:15 AM on September 25th

Guest of this issue: Hu Xinjun (Associate Professor) from Sichuan University of Light Chemical Technology

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Speaker Introduction

Hu Xinjun, Ph.D., has long focused on intelligent detection and solid-state brewing technology, and has led more than ten provincial key talent projects, postdoctoral science funds, and provincial science and technology department projects; Published over 50 papers (35 SCI papers) and authorized 7 invention patents. The achievements support the enterprise's raw material grading and quality control, wine aging regulation, and significant benefits. Won the third prize of Sichuan Science and Technology Award in 2024 and the second prize of China Liquor Industry Association Science and Technology Award (Project Category) in 2024. Guided 9 innovation and entrepreneurship competitions for college students, including 2 provincial-level (Class A) silver awards and 2 bronze awards.

Report content

Based on hyperspectral imaging technology combined with artificial intelligence algorithm, rapid detection of Baijiu raw materials and fermentation process substances was studied. Through hyperspectral imaging, accurate analysis of varieties and components of Baijiu grains (such as sorghum, wheat, corn, rice, etc.) can be achieved, and physical and chemical indicators such as Daqu, fermented grains, pit mud, etc. during fermentation can be monitored. This technology improves the detection efficiency and provides an innovative solution for Baijiu production quality control and process optimization.

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