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Song X, Qian S, Li H, Shen Y, Bian D, Shan K, Shi J. Study on the evaluation method of cigarette astringency in the simulated oral environment. J Texture Stud 2024; 55:e12837. [PMID: 38702991 DOI: 10.1111/jtxs.12837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/02/2024] [Accepted: 04/10/2024] [Indexed: 05/06/2024]
Abstract
Cigarettes with pronounced astringency can diminish consumers' enjoyment. However, due to the complex composition of cigarettes, quantifying astringency intensity accurately has been challenging. To address this, research was conducted to develop a method for assessing astringency intensity in a simulated oral environment. The astringency intensity of four cigarette brands was determined using the standard sensory evaluation method. The mainstream smoke absorbing solution (MS) was prepared by simulating the cigarette smoking process, and its physicochemical properties (such as total phenol content and pH levels) were analyzed. The lubrication properties of the five solutions were tested using the MFT-5000 wear tester, and factors influencing cigarette astringency were examined. The findings showed that total phenol content and pH of MS were positively and negatively correlated with astringency intensity, respectively. Particularly, the lubrication properties of MS were significantly correlated with astringency intensity, and the correlation coefficient was affected by load and speed during testing. The study concluded that coefficient of friction was a more reliable measure for assessing the extent of astringency in cigarettes than the total phenol content and pH of MS, offering new insights into astringency evaluation and development of high-grade cigarettes.
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Affiliation(s)
- Xiaofei Song
- School of Mechanical Engineering, Jiangnan University, Wuxi, China
| | - Shanhua Qian
- School of Mechanical Engineering, Jiangnan University, Wuxi, China
- Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi, China
| | - Hui Li
- Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China
| | - Yujun Shen
- Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China
| | - Da Bian
- School of Mechanical Engineering, Jiangnan University, Wuxi, China
| | - Kai Shan
- Hongta Liaoning Tobacco Co., Ltd, Shenyang, China
| | - Jingquan Shi
- Hongta Liaoning Tobacco Co., Ltd, Shenyang, China
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2
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Zhang S, Kong N, Wang Z, Zhang Y, Ni C, Li L, Wang H, Yang M, Yang W, Yan F. Nanochemistry of gold: from surface engineering to dental healthcare applications. Chem Soc Rev 2024; 53:3656-3686. [PMID: 38502089 DOI: 10.1039/d3cs00894k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
Advancements in nanochemistry have led to the development of engineered gold nanostructures (GNSs) with remarkable potential for a variety of dental healthcare applications. These innovative nanomaterials offer unique properties and functionalities that can significantly improve dental diagnostics, treatment, and overall oral healthcare applications. This review provides an overview of the latest advancements in the design, synthesis, and application of GNSs for dental healthcare applications. Engineered GNSs have emerged as versatile tools, demonstrating immense potential across different aspects of dentistry, including enhanced imaging and diagnosis, prevention, bioactive coatings, and targeted treatment of oral diseases. Key highlights encompass the precise control over GNSs' size, crystal structure, shape, and surface functionalization, enabling their integration into sensing, imaging diagnostics, drug delivery systems, and regenerative therapies. GNSs, with their exceptional biocompatibility and antimicrobial properties, have demonstrated efficacy in combating dental caries, periodontitis, peri-implantitis, and oral mucosal diseases. Additionally, they show great promise in the development of advanced sensing techniques for early diagnosis, such as nanobiosensor technology, while their role in targeted drug delivery, photothermal therapy, and immunomodulatory approaches has opened new avenues for oral cancer therapy. Challenges including long-term toxicity, biosafety, immune recognition, and personalized treatment are under rigorous investigation. As research at the intersection of nanotechnology and dentistry continues to thrive, this review highlights the transformative potential of engineered GNSs in revolutionizing dental healthcare, offering accurate, personalized, and minimally invasive solutions to address the oral health challenges of the modern era.
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Affiliation(s)
- Shuang Zhang
- Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
| | - Na Kong
- School of Life and Environmental Science, Centre for Sustainable Bioproducts, Deakin University, Geelong, VIC, Australia.
- Hainan Provincial Key Laboratory of Natural Rubber Processing, Agricultural Products Processing Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, China
| | - Zezheng Wang
- Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
| | - Yangheng Zhang
- Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
| | - Can Ni
- Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
| | - Lingjun Li
- Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
| | - Hongbin Wang
- School of Chemistry and Environment, Yunnan Minzu University, Kunming, China
| | - Min Yang
- School of Chemistry and Environment, Yunnan Minzu University, Kunming, China
| | - Wenrong Yang
- School of Life and Environmental Science, Centre for Sustainable Bioproducts, Deakin University, Geelong, VIC, Australia.
| | - Fuhua Yan
- Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
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Feng X, Wang H, Zhu Y, Ma J, Ke Y, Wang K, Liu Z, Ni L, Lin CC, Zhang Y, Liu Y. New Insights into the Umami and Sweet Taste of Oolong Tea: Formation of Enhancer N-(1-carboxyethyl)-6-(hydroxymethyl) pyridinium-3-ol (Alapyridaine) in Roasting Via Maillard Reaction. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:8760-8773. [PMID: 38536213 DOI: 10.1021/acs.jafc.3c09011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2024]
Abstract
Roasting is pivotal for enhancing the flavor of Wuyi rock tea (WRT). A study investigated a novel compound that enhances the umami taste of WRT. Metabolomics of Shuixian tea (SXT) and Rougui tea (RGT) under light roasting (LR), medium roasting (MR), and heavy roasting (HR) revealed significant differences in nonvolatiles compounds. Compared LR reducing sugars and amino acids notably decreased in MR and HR, with l-alanine declining by 69%. Taste-guided fractionation identified fraction II-B as having high umami and sweet intensities. A surprising taste enhancer, N-(1-carboxyethyl)-6-(hydroxymethyl) pyridinium-3-ol (alapyridaine), was discovered and identified. It formed via the Maillard reaction, positively correlated with roasting in SXT and RGT. Alapyridaine levels were highest in SXT among the five oolong teas. Roasting tea with glucose increased alapyridaine levels, while EGCG inhibited its formation. HR-WRT exhibited enhanced umami and sweet taste, highlighting alapyridaine's impact on WRT's flavor profile. The formation of alapyridaine during the roasting process provides new insights into the umami and sweet perception of oolong tea.
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Affiliation(s)
- Xiaoxiao Feng
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Haoli Wang
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yiwen Zhu
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jingke Ma
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yu Ke
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Kequn Wang
- Wuyi Mountain Yuanshui Yuantea Tea Culture Co., Ltd., Wuyi Mountain 354300, Fujian, China
| | - Zhibin Liu
- Institute of Food Science &Technology, Fuzhou University, Fuzhou 350108, Fujian, China
| | - Li Ni
- Institute of Food Science &Technology, Fuzhou University, Fuzhou 350108, Fujian, China
| | - Chih-Cheng Lin
- Department of Biotechnology and Pharmaceutical Technology, Yuanpei University of Medical Technology, Hsinchu 30015, Taiwan, China
| | - Yin Zhang
- Key Lab of Meat Processing of Sichuan Province, Chengdu University, Chengdu 610106, China
| | - Yuan Liu
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, China
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Meng H, Cui Z, Yu Y, Li Y, Jiang S, Liu Y. From Molecular Dynamics to Taste Sensory Perception: A Comprehensive Study on the Interaction of Umami Peptides with the T1R1/T1R3-VFT Receptor. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:6533-6543. [PMID: 38488059 DOI: 10.1021/acs.jafc.3c09598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
The research on the umami receptor-ligand interaction is crucial for understanding umami perception. This study integrated molecular simulations, sensory evaluation, and biosensor technology to analyze the interaction between umami peptides and the umami receptor T1R1/T1R3-VFT. Molecular dynamics simulations were used to investigate the dissociation process of seven umami peptides with the umami receptor T1R1/T1R3-VFT, and by calculating the potential mean force curve using the Jarzynski equation, it was found that the binding free energy of umami peptide is between -58.80 and -12.17 kcal/mol, which had a strong correlation with the umami intensity obtained by time intensity sensory evaluation. Through correlation analysis, the dissociation rate constants (0.0126-0.394 1/s) of umami peptides were found to have a great impact on umami perception. The faster the dissociation rate of umami peptides from receptors, the stronger the perceived intensity of the umami taste. This research aims to elucidate the relationship between the umami peptide-receptor interaction and umami perception, providing theoretical support for the exploration of umami perception mechanisms.
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Affiliation(s)
- Hengli Meng
- Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhiyong Cui
- Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yanyang Yu
- Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yingqiu Li
- Secondary College of Cereals and Tourism, Guangxi Vocational College of Technology and Business, Nanning 530005, China
| | - Shui Jiang
- Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yuan Liu
- Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
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Li T, Zhang J, Bu P, Wu H, Guo J, Guo J. Multi-modal nanoprobe-enabled biosensing platforms: a critical review. NANOSCALE 2024; 16:3784-3816. [PMID: 38323860 DOI: 10.1039/d3nr03726f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Nanomaterials show great potential for applications in biosensing due to their unique physical, chemical, and biological properties. However, the single-modal signal sensing mechanism greatly limits the development of single-modal nanoprobes and their related sensors. Multi-modal nanoprobes can realize the output of fluorescence, colorimetric, electrochemical, and magnetic signals through composite nanomaterials, which can effectively compensate for the defects of single-modal nanoprobes. Following the multi-modal nanoprobes, multi-modal biosensors break through the performance limitation of the current single-modal signal and realize multi-modal signal reading. Herein, the current status and classification of multi-modal nanoprobes are provided. Moreover, the multi-modal signal sensing mechanisms and the working principle of multi-modal biosensing platforms are discussed in detail. We also focus on the applications in pharmaceutical detection, food and environmental fields. Finally, we highlight this field's challenges and development prospects to create potential enlightenment.
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Affiliation(s)
- Tong Li
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jiani Zhang
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Pengzhi Bu
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Haoping Wu
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jiuchuan Guo
- University of Electronic Science and Technology of China, Chengdu, China.
| | - Jinhong Guo
- School of Sensing Science and Engineering, Shanghai Jiao Tong, University, Shanghai, China.
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Zhu Y, Chen S, Yin H, Han X, Xu M, Wang W, Zhang Y, Feng X, Liu Y. Classification of oolong tea varieties based on computer vision and convolutional neural networks. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2024; 104:1630-1637. [PMID: 37842747 DOI: 10.1002/jsfa.13049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/10/2023] [Accepted: 10/16/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND In the contemporary food industry, accurate and rapid differentiation of oolong tea varieties holds paramount importance for traceability and quality control. However, achieving this remains a formidable challenge. This study addresses this lacuna by employing machine learning algorithms - namely support vector machines (SVMs) and convolutional neural networks (CNNs) - alongside computer vision techniques for the automated classification of oolong tea leaves based on visual attributes. RESULTS An array of 13 distinct characteristics, encompassing color and texture, were identified from five unique oolong tea varieties. To fortify the robustness of the predictive models, data augmentation and image cropping methods were employed. A comparative analysis of SVM- and CNN-based models revealed that the ResNet50 model achieved a high Top-1 accuracy rate exceeding 93%. This robust performance substantiates the efficacy of the implemented methodology for rapid and precise oolong tea classification. CONCLUSION The study elucidates that the integration of computer vision with machine learning algorithms constitutes a promising, non-invasive approach for the quick and accurate categorization of oolong tea varieties. The findings have significant ramifications for process monitoring, quality assurance, authenticity validation and adulteration detection within the tea industry. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Yiwen Zhu
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Siyuan Chen
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Hanzhe Yin
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Xihao Han
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Menghan Xu
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Wenli Wang
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Yin Zhang
- Key Laboratory of Meat Processing of Sichuan, Chengdu University, Chengdu, China
| | - Xiaoxiao Feng
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Yuan Liu
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China
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7
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Zhao S, Zheng H, Lu Y, Zhang N, Soladoye OP, Zhang Y, Fu Y. Sweet Taste Receptors and Associated Sweet Peptides: Insights into Structure and Function. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:13950-13964. [PMID: 37698386 DOI: 10.1021/acs.jafc.3c04479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
Long-term consumption of a high-sugar diet may contribute to the pathogenesis of several chronic diseases, such as obesity and type 2 diabetes. Sweet peptides derived from a wide range of food sources can enhance sweet taste without compromising the sensory properties. Therefore, the research and application of sweet peptides are promising strategies for reducing sugar consumption. This work first outlined the necessity for global sugar reduction, followed by the introduction of sweet taste receptors and their associated transduction mechanisms. Subsequently, recent research progress in sweet peptides from different protein sources was summarized. Furthermore, the main methods for the preparation and evaluation of sweet peptides were presented. In addition, the current challenges and potential applications are also discussed. Sweet peptides can stimulate sweetness perception by binding sweet taste receptors T1R2 and T1R3 in taste buds, which is an effective strategy for reducing sugar consumption. At present, sweet peptides are mainly prepared artificially by synthesis, hydrolysis, microbial fermentation, and bioengineering strategies. Furthermore, sensory evaluation, electronic tongues, and cell models have been used to assess the sweet taste intensity. The present review can provide a theoretical reference for reducing sugar consumption with the aid of sweet peptides in the food industry.
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Affiliation(s)
- Shulei Zhao
- College of Food Science, Southwest University, Chongqing 400715, People's Republic of China
- Westa College, Southwest University, Chongqing 400715, People's Republic of China
| | - Hanyuan Zheng
- College of Food Science, Southwest University, Chongqing 400715, People's Republic of China
- Westa College, Southwest University, Chongqing 400715, People's Republic of China
| | - Yujia Lu
- Department of Epidemiology, Harvard University T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Na Zhang
- Key Laboratory of Food Science and Engineering of Heilongjiang Province, College of Food Engineering, Harbin University of Commerce, Harbin, Heilongjiang 150076, People's Republic of China
| | - Olugbenga P Soladoye
- Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Government of Canada, 6000 C&E Trail, Lacombe, Alberta T4L 1W1, Canada
| | - Yuhao Zhang
- College of Food Science, Southwest University, Chongqing 400715, People's Republic of China
- Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, Chongqing 400715, People's Republic of China
| | - Yu Fu
- College of Food Science, Southwest University, Chongqing 400715, People's Republic of China
- Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, Chongqing 400715, People's Republic of China
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