Lipid profiling: proving the geographical origin of strawberries (Fragaria × ananassa) using a non-targeted LC-IM-MS approach†

IF 2.4 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Molecular omics Pub Date : 2025-05-16 DOI:10.1039/D5MO00006H
Johannes Brockelt, Felix Schmauder, Marina Creydt and Markus Fischer
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引用次数: 0

Abstract

The strawberry, a globally traded fruit, is a prime example of how geographical origin has become an important marketing factor. Significant price differences between countries of origin make mislabeling a financially attractive form of food fraud, underlining the need for origin verification. In this context, the development of methods that can unequivocally prove the authenticity, i.e., the declared origin, is an absolute necessity. In this study, a non-targeted lipidomic approach using ion mobility combined with high resolution mass spectrometry was applied to clearly distinguish German strawberries from non-German strawberries. Using linear discriminant analysis (LDA), an accuracy of 90% was achieved. Furthermore, a detailed classification of strawberries from Central Europe (German, Dutch and Polish strawberries) as well as strawberries from Mediterranean regions (Spanish, Greek and Egyptian strawberries) was carried out with a classification accuracy of 74%. To further investigate the classification results, a total of 39 lipids were identified as relevant markers for German, Dutch and Polish strawberries as well as for Spanish, Greek and Egyptian strawberries using MS/MS measurements. A particular difficulty was the fact that the influence of climatic conditions on the metabolome is similar in countries that are geographically close to each other. Overall, the results of this study help to prevent food fraud and to confirm the authenticity of strawberries in terms of their origin.

Abstract Image

脂质分析:使用非靶向LC-IM-MS方法证明草莓(Fragaria x ananassa)的地理起源。
草莓是一种全球交易的水果,是地理来源如何成为重要营销因素的一个典型例子。原产国之间的巨大价格差异使错误标签成为一种经济上有吸引力的食品欺诈形式,强调了原产地核查的必要性。在这种情况下,制定能够明确证明其真实性的方法,即声明的原产地,是绝对必要的。在本研究中,采用离子迁移率结合高分辨率质谱的非靶向脂质组学方法明确区分德国草莓和非德国草莓。采用线性判别分析(LDA),准确率达到90%。此外,对中欧草莓(德国、荷兰和波兰草莓)以及地中海地区草莓(西班牙、希腊和埃及草莓)进行了详细分类,分类准确率为74%。为了进一步研究分类结果,共鉴定了39种脂质作为德国、荷兰和波兰草莓以及西班牙、希腊和埃及草莓的相关标记物。一个特别的困难是,气候条件对代谢物组的影响在地理上彼此接近的国家是相似的。总的来说,这项研究的结果有助于防止食品欺诈,并确认草莓的来源的真实性。
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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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