Competing technologies: determining the geographical origin of strawberries (Fragaria × ananassa) using laboratory based near-infrared spectroscopy compared to a simple portable device†

IF 3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular omics Pub Date : 2024-11-22 DOI:10.1039/D4MO00161C
Johannes Brockelt, Felix Schmauder, Kim Brettschneider, Marina Creydt, Stephan Seifert and Markus Fischer
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Abstract

The application and development of fast and simple screening methods for the authentication of foods has increased continuously in recent years. A widely used analytical technique is Fourier transform near-infrared spectroscopy (FT-NIR). Despite the simple application of FT-NIR analysis, the analyses are usually carried out on benchtop devices in the laboratory. However small, inexpensive and mobile NIR devices could be used on-site. Despite the simple use of FT-NIR analysis, the examinations are usually carried out on a stationary benchtop device in a laboratory. However, in order to be able to perform the application directly on site, the application of small, cost-effective and mobile NIR devices for food analysis is crucial. In this study, both, a benchtop NIR instrument and a handheld NIR device with a lower resolution and analyzed wavenumber range were applied for the differentiation of strawberries from different geographical origins. Distinguishing German and non-German strawberries using linear discriminant analysis (LDA) yielded an accuracy of 91.9% and 84.0% using the benchtop and the handheld devices, respectively. Relevant variables could be assigned to lipids, carbohydrates and proteins. Overall, our study demonstrated for the first time that analyzing the geographical origin of strawberries using NIR spectroscopy is also possible by means of a handheld device.

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竞争技术:与简单的便携式设备相比,使用基于实验室的近红外光谱来确定草莓(Fragaria × ananassa)的地理来源。
近年来,快速简便的食品认证筛选方法的应用和发展不断增加。傅里叶变换近红外光谱(FT-NIR)是一种广泛应用的分析技术。尽管FT-NIR分析的应用很简单,但分析通常在实验室的台式设备上进行。然而,小型、廉价和移动的近红外设备可以在现场使用。尽管FT-NIR分析的使用很简单,但检查通常在实验室的固定台式设备上进行。然而,为了能够直接在现场执行应用程序,小型,具有成本效益的移动近红外设备用于食品分析的应用至关重要。本研究采用台式近红外仪和低分辨率、分析波数范围的手持式近红外仪对不同产地草莓进行鉴别。利用线性判别分析(LDA)在台式和手持设备上区分德国草莓和非德国草莓的准确率分别为91.9%和84.0%。相关变量可以分配给脂质、碳水化合物和蛋白质。总的来说,我们的研究首次证明了使用近红外光谱分析草莓的地理来源也可以通过手持设备进行分析。
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来源期刊
Molecular omics
Molecular omics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
5.40
自引率
3.40%
发文量
91
期刊介绍: Molecular Omics publishes high-quality research from across the -omics sciences. Topics include, but are not limited to: -omics studies to gain mechanistic insight into biological processes – for example, determining the mode of action of a drug or the basis of a particular phenotype, such as drought tolerance -omics studies for clinical applications with validation, such as finding biomarkers for diagnostics or potential new drug targets -omics studies looking at the sub-cellular make-up of cells – for example, the subcellular localisation of certain proteins or post-translational modifications or new imaging techniques -studies presenting new methods and tools to support omics studies, including new spectroscopic/chromatographic techniques, chip-based/array technologies and new classification/data analysis techniques. New methods should be proven and demonstrate an advance in the field. Molecular Omics only accepts articles of high importance and interest that provide significant new insight into important chemical or biological problems. This could be fundamental research that significantly increases understanding or research that demonstrates clear functional benefits. Papers reporting new results that could be routinely predicted, do not show a significant improvement over known research, or are of interest only to the specialist in the area are not suitable for publication in Molecular Omics.
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