Visible/Near-Infrared Spectroscopy Devices and Wet-Chem Analyses for Grapes (Vitis vinifera L.) Quality Assessment: An Environmental Performance Comparison

IF 2.5 3区 农林科学 Q3 FOOD SCIENCE & TECHNOLOGY
M. Zambelli, A. Casson, V. Giovenzana, A. Pampuri, A. Tugnolo, C. Pozzoli, L. Brancadoro, R. Beghi, R. Guidetti
{"title":"Visible/Near-Infrared Spectroscopy Devices and Wet-Chem Analyses for Grapes (Vitis vinifera L.) Quality Assessment: An Environmental Performance Comparison","authors":"M. Zambelli, A. Casson, V. Giovenzana, A. Pampuri, A. Tugnolo, C. Pozzoli, L. Brancadoro, R. Beghi, R. Guidetti","doi":"10.1155/2022/9780412","DOIUrl":null,"url":null,"abstract":"Background and Aims. The composition of grapes (Vitis vinifera L.) at harvest is a key factor that determines the future quality of wine. The work aimed to evaluate and compare the environmental impact of the most evaluated technological parameters using three approaches: the wet-chem method, the optical method using benchtop devices, and the optical method using a prototype smart and cost-effective device (Technology Readiness Level: 5). Methods and Results. The life cycle assessment (LCA) methodology was used to identify the most environmentally sustainable solution in a “from-cradle-to-grave” approach. The functional unit was identified by the execution of the analyses necessary to measure the three technological parameters: TSS, pH, and TA. The findings show that the optical analysis carried out with the prototype is the most suitable and green solution (i.e., with the lowest environmental impact in all the impact categories analysed); in fact, the same technology has proved to be 3.2 times more sustainable than the wet-chem method for the best average environmental performance. Conclusions. The research demonstrated the environmental impact advantages of the optical analyses for assessment of grape composition. Significance of the Study. Innovations in agriculture and the development of smart solutions represent advantages for managing and monitoring the composition of agri-food products that are a green solution for the industry.","PeriodicalId":8582,"journal":{"name":"Australian Journal of Grape and Wine Research","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian Journal of Grape and Wine Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1155/2022/9780412","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background and Aims. The composition of grapes (Vitis vinifera L.) at harvest is a key factor that determines the future quality of wine. The work aimed to evaluate and compare the environmental impact of the most evaluated technological parameters using three approaches: the wet-chem method, the optical method using benchtop devices, and the optical method using a prototype smart and cost-effective device (Technology Readiness Level: 5). Methods and Results. The life cycle assessment (LCA) methodology was used to identify the most environmentally sustainable solution in a “from-cradle-to-grave” approach. The functional unit was identified by the execution of the analyses necessary to measure the three technological parameters: TSS, pH, and TA. The findings show that the optical analysis carried out with the prototype is the most suitable and green solution (i.e., with the lowest environmental impact in all the impact categories analysed); in fact, the same technology has proved to be 3.2 times more sustainable than the wet-chem method for the best average environmental performance. Conclusions. The research demonstrated the environmental impact advantages of the optical analyses for assessment of grape composition. Significance of the Study. Innovations in agriculture and the development of smart solutions represent advantages for managing and monitoring the composition of agri-food products that are a green solution for the industry.
葡萄(Vitis vinifera L.)的可见/近红外光谱装置及湿化学分析质量评估:环境绩效比较
背景和目的。葡萄(Vitis vinifera L.)在收获时的成分是决定葡萄酒未来质量的关键因素。这项工作旨在使用三种方法评估和比较评估最多的技术参数的环境影响:湿化学法、使用台式设备的光学法和使用原型智能和成本效益设备的光学方法(技术准备水平:5)。方法和结果。生命周期评估(LCA)方法用于以“从摇篮到坟墓”的方法确定最具环境可持续性的解决方案。通过执行必要的分析来确定功能单元,以测量三个技术参数:TSS、pH和TA。研究结果表明,用原型进行的光学分析是最合适的绿色解决方案(即,在所有分析的影响类别中,环境影响最低);事实上,同一种技术的可持续性是湿化学法的3.2倍,具有最佳的平均环境性能。结论。该研究证明了光学分析在葡萄成分评估中的环境影响优势。研究的意义。农业创新和智能解决方案的开发代表了管理和监测农产品成分的优势,而农产品是该行业的绿色解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.30
自引率
7.10%
发文量
35
审稿时长
3 months
期刊介绍: The Australian Journal of Grape and Wine Research provides a forum for the exchange of information about new and significant research in viticulture, oenology and related fields, and aims to promote these disciplines throughout the world. The Journal publishes results from original research in all areas of viticulture and oenology. This includes issues relating to wine, table and drying grape production; grapevine and rootstock biology, genetics, diseases and improvement; viticultural practices; juice and wine production technologies; vine and wine microbiology; quality effects of processing, packaging and inputs; wine chemistry; sensory science and consumer preferences; and environmental impacts of grape and wine production. Research related to other fermented or distilled beverages may also be considered. In addition to full-length research papers and review articles, short research or technical papers presenting new and highly topical information derived from a complete study (i.e. not preliminary data) may also be published. Special features and supplementary issues comprising the proceedings of workshops and conferences will appear periodically.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信