数字农科院2.0

Using music to perceiving food: New musicalization algorithms and application in adulteration goat milk

文献类型： 外文期刊

作者： Yang, Huihui;Wang, Yutang;Li, Ping;Li, Zhixiang;Li, Long;Huang, Yatao;Luo, Bowen;Zhao, Jinyong;Wang, Pengyue;Guo, Qi;Wang, Fengzhong

作者机构：

关键词： Musicalization;Machine learning;Infrared spectroscopy;Food perception

期刊名称： SENSORS AND ACTUATORS B-CHEMICAL

ISSN：

年卷期： 2025 年 449 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Transforming silent data into music is a fascinating process that bridges raw information and human perception. However, its potential to characterize food components remains unexplored. Here, this study introduced an innovative approach for musicalization characterization by converting infrared spectral peak to sound parameters like frequency and loudness, then synthesizing music signal. To validate the algorithm's effectiveness, it was applied to detect goat milk adulteration. Its performance was compared to traditional spectral analysis using three machine learning classifiers. Results show that the musicalization model outperforms traditional methods, with the k-nearest neighbors (kNN) algorithm achieving 0.9950 accuracy, 0.9890 precision, and 1.0000 recall. This demonstrates that music characterization of dairy products can preserve key features and uncover hidden patterns. This work introduces a novel form of digital food characterization-acoustic fingerprinting-by offering an alternative perception modality for food analysis and opening avenues for broader applications in the field.

分类号：

  • 相关文献

[1]Personalized diets based on multi-objective optimization of nutrition and sensory characteristics: A digital strategy for enhancing food quality. Wang, Zhangtie,Huang, Qinle,Ji, Shengyang,Amrouche, Amel Thanina,Zhu, Yuhang,Li, Xiang,Shen, Jianfu,Xiao, Hang,Li, Peiwu,Lu, Baiyi. 2025

[2]Infrared spectroscopy for soil NPK estimation: Advances, challenges, and future directions in predictive modelling. Shengchang Huai,Qingyue Zhang,Yuwen Jin,Weijia Yu,Jeroen Meersmans,Shichao Wang,Gilles Colinet,Changai Lu. 2025

[3]Long-Term Different Fertilizations Changed the Chemical and Spectrum Characteristics of DOM of the Irrigation-Desert Soil in North-Western China. Chang Dan-na,Cao Wei-dong,Bai Jin-shun,Gao Song-juan,Zeng Nao-hua,Wang Xue-cui,Chang Dan-na,Gao Song-juan,Wang Xue-cui,Cao Wei-dong,Bao Xing-guo,Zhang Jiu-dong,Lu Bing-lin,Katsuyoshi, Shimizu. 2016

[4]Reaction pathway mechanism of thermally induced isomerization of 9,12-linoleic acid triacylglycerol. Guo, Qin,Jiang, Fan,Deng, Zhaoxuan,Li, Qingpeng,Jin, Jing,Ha, Yiming,Wang, Feng.

[5]Analysis of Spirulina Powder by Fourier Transform Infrared Spectroscopy and Calculation of Protein Content. Liu Hai-jing,Li Wei-ming,Wang Feng,Li An,Zhao Yue-liang,Ha Yi-ming,Liu Hai-jing,Li Wei-ming,Wang Feng,Li An,Zhao Yue-liang,Ha Yi-ming,Xu Chang-hua,Zhou Qun,Sun Su-qin. 2013

[6]Formation kinetic study of thermally induced trans and conjugated linoleic acids in corn oil. Yumeng Hu,Fan He,Manzhu Liang,Zhenyuan Li,Xuegang Huang,Hui Hu,Fengying Gu,Qiang Wang,Qin Guo. 2025

[7]Infrared spectroscopy combined with deep learning to describe the textural properties of cooked rice from raw materials: revealing spectral variations and internal correlations during processing. Rui Tang,Ting Yu,Zi Li,Junru Wu,Xiaoming Zheng,Leiqing Pan,Yang Chen,Kun Duan,Hui Dong,Weijie Lan. 2025

[8]Evolutionarily Informed Deep Learning Methods F.or Predicting Relative Transcript A bundance From Dna Sequence. Washburn, Jacob D.,Wang, Hai,Wang, Hai,Wang, Hai,Valluru, Ravi,Ramstein, Guillaume,Mejia-Guerra, Maria Katherine,Kremling, Karl A.,Wang, Hai,Buckler, Edward S.,Buckler, Edward S.. 2019

[9]Using Machine Learning in Environmental Tax Reform Assessment for Sustainable Development: A Case Study of Hubei Province, China. Zheng, Yinger,Zheng, Yinger,Zheng, Haixia,Zheng, Haixia,Ye, Xinyue. 2016

[10]Determination of internal qualities of Newhall navel oranges based on NIR spectroscopy using machine learning. Liu, Cong,Yang, Simon X.,Liu, Cong,Deng, Lie.

[11]A comparative study for least angle regression on NIR spectra analysis to determine internal qualities of navel oranges. Liu, Cong,Yang, Simon X.,Liu, Cong,Deng, Lie. 2015

[12]Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes. Shahbeik H.,Shafizadeh A.,Nadian M.H.,Jeddi D.,Mirjalili S.,Yang Y.,Lam S.S.,Pan J.,Tabatabaei M.,Aghbashlo M.. 2023

[13]Virtual screening strategy for anti-DPP-IV natural flavonoid derivatives based on machine learning. Lu, Gen,Pan, Fei,Li, Xiaotong,Zhu, Zehui,Zhao, Lei,Wu, Ya,Tian, Wenli,Peng, Wenjun,Liu, Jinling. 2023

[14]Effects of different floral periods and environmental factors on royal jelly identification by stable isotopes and machine learning analyses during non-migratory beekeeping. Zhaolong Liu,Xin Yin,Hongxia Li,Dong Qiao,Lanzhen Chen. 2023

[15]Several models combined with ultrasound techniques to predict breast muscle weight in broilers. Zhengda Li,Jumei Zheng,Bingxing An,Xiaochun Ma,Fan Ying,Fuli Kong,Jie Wen,Guiping Zhao. 2023

[16]Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000–2020. Xian Jin Zhu,Gui Rui Yu,Zhi Chen,Wei Kang Zhang,Lang Han,Qiu Feng Wang,Hua Qi,Meng Yang,Zhao Gang Liu,Xiao Jun Dou,Le Xin Ma,Shi Ping Chen,Shao Min Liu,Hui Min Wang,Jun Hua Yan,Jun Lei Tan,Fa Wei Zhang,Feng Hua Zhao,Ying Nian Li,Yi Ping Zhang,Pei Li Shi,Jiao Jun Zhu,Jia Bing Wu,Zhong Hui Zhao,Yan Bin Hao,Li Qing Sha,Yu Cui Zhang,Shi Cheng Jiang,Feng Xue Gu,Zhi Xiang Wu,Yang Jian Zhang,Li Zhou,Ya Kun Tang,Bing Rui Jia,Yu Qiang Li,Qing Hai Song,Gang Dong,Yan Hong Gao,Zheng De Jiang,Dan Sun,Jian Lin Wang,Qi Hua He,Xin Hu Li,Fei Wang,Wen Xue Wei,Zheng Miao Deng,Xiang Xiang Hao,Xiao Li Liu,Xi Feng Zhang,Zhi Lin Zhu. 2023

[17]Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning. A. B. Potgieter,C. Camino,T. Poblete,X. Zhi,S. Reynolds-Massey-Reed,Y. Zhao,A. Belwalkar,J. Ruizhu,B. George-Jaeggli,S. Chapman,D. Jordan,A. Wu,G. L. Hammer,P. J. Zarco-Tejada. 2023

[18]Rapid and Non-Invasive Assessment of Texture Profile Analysis of Common Carp (Cyprinus carpio L.) Using Hyperspectral Imaging and Machine Learning. Yi Ming Cao,Yan Zhang,Shuang Ting Yu,Kai Kuo Wang,Ying Jie Chen,Zi Ming Xu,Zi Yao Ma,Hong Lu Chen,Qi Wang,Ran Zhao,Xiao Qing Sun,Jiong Tang Li. 2023

[19]Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters Optimization. Liang, Mang,An, Bingxing,Li, Keanning,Du, Lili,Deng, Tianyu,Cao, Sheng,Du, Yueying,Xu, Lingyang,Gao, Xue,Zhang, Lupei,Li, Junya,Gao, Huijiang. 2022

[20]Enhancing leaf area index and biomass estimation in maize with feature augmentation from unmanned aerial vehicle-based nadir and cross-circling oblique photography. Shuaipeng Fei,Shunfu Xiao,Qing Li,Meiyan Shu,Weiguang Zhai,Yonggui Xiao,Zhen Chen,Helong Yu,Yuntao Ma. 2023

作者其他论文 更多>>