Aliev Timur, Korolev Ilya, Yasnov Mikhail, Nosonovsky Michael, Skorb Ekaterina V
Infochemistry Scientific Center, ITMO University 9 Lomonosov St. St. Petersburg 191002 Russia.
Department of Mechanical Engineering, University of Wisconsin-Milwaukee N Cramer St. 3200 Milwaukee WI 53211 USA
RSC Adv. 2025 Feb 17;15(7):5151-5158. doi: 10.1039/d5ra00046g. eCollection 2025 Feb 13.
This study presents a machine learning (ML)/Artificial Intelligence (AI) approach to classify types of sparkling wines (champagnes) and their respective containers using image data of bubble patterns. Sparkling wines are oversaturated with dissolved CO, which results in extensive bubbling when the wine bottle is uncorked. The nucleation and properties of bubbles depend on the chemical composition of the wine, the properties of the glass, and the concentration of CO. For carbonated liquids supersaturated with CO, the interaction of natural and cavitation bubbles is a non-trivial matter. We study ultrasonic cavitation bubbles in two types of sparkling wines and two types of glasses with the computer vision (CV) analysis of video images and clustering using an artificial neural network (NN) approach. By integrating a segmentation NN to filter out irrelevant frames and applying the Contrastive Language-Image Pre-Training (CLIP) NN for feature embedding, followed by TabNet for classification, we demonstrate a novel application of ML/AI for distinguishing champagne characteristics. The results show that the bubbles are significantly different to be classified by the ML techniques for different types of wine and glasses. Consequently, our study demonstrates that CV/AI/ML analysis of ultrasound cavitation bubbles can be used to analyze carbonated liquids.
本研究提出了一种机器学习（ML）/人工智能（AI）方法，利用气泡图案的图像数据对起泡酒（香槟）的类型及其各自的容器进行分类。起泡酒中溶解的二氧化碳过饱和，当酒瓶打开时会产生大量气泡。气泡的成核和特性取决于葡萄酒的化学成分、玻璃的特性以及二氧化碳的浓度。对于二氧化碳过饱和的碳酸液体，自然气泡和空化气泡的相互作用是一个复杂的问题。我们通过对视频图像的计算机视觉（CV）分析以及使用人工神经网络（NN）方法进行聚类，研究了两种类型的起泡酒和两种类型的玻璃中的超声空化气泡。通过集成一个分割神经网络来过滤掉无关帧，并应用对比语言-图像预训练（CLIP）神经网络进行特征嵌入，然后使用TabNet进行分类，我们展示了ML/AI在区分香槟特征方面的新应用。结果表明，对于不同类型的葡萄酒和玻璃，通过ML技术对气泡进行分类有显著差异。因此，我们的研究表明，超声空化气泡的CV/AI/ML分析可用于分析碳酸液体。
