从实验室到葡萄园——近红外光谱测定葡萄成分向高通量分析的演变

Q2 Biochemistry, Genetics and Molecular Biology High-Throughput Pub Date : 2019-11-30 DOI:10.3390/ht8040021
A. Power, V. K. Truong, J. Chapman, D. Cozzolino
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引用次数: 17

摘要

与传统的实验室方法相比,光谱技术(如近红外、高光谱成像)通过同时测定几种化合物和代谢物,为分析人员提供了对复杂问题的创新和更好的理解,从而可以收集样品的“指纹”。这些技术有可能提供高通量的选择,用于在实验室、葡萄园以及收获前或收获期间分析葡萄的化学成分,从而更好地了解葡萄的化学、营养和生理。更快的计算机、软件的开发以及便携式易于使用的分光光度计和数据分析方法,使这些技术在葡萄成分分析中的创新应用得以发展。
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From the Laboratory to The Vineyard—Evolution of The Measurement of Grape Composition using NIR Spectroscopy towards High-Throughput Analysis
Compared to traditional laboratory methods, spectroscopic techniques (e.g., near infrared, hyperspectral imaging) provide analysts with an innovative and improved understanding of complex issues by determining several chemical compounds and metabolites at once, allowing for the collection of the sample “fingerprint”. These techniques have the potential to deliver high-throughput options for the analysis of the chemical composition of grapes in the laboratory, the vineyard and before or during harvest, to provide better insights of the chemistry, nutrition and physiology of grapes. Faster computers, the development of software and portable easy to use spectrophotometers and data analytical methods allow for the development of innovative applications of these techniques for the analyses of grape composition.
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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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