Applications of DART‐MS for food quality and safety assurance in food supply chain

Guo, Tao; Yong, Wei Peng; Jin, Yong; Zhang, Liya; Liu, Jiahui; Wang, Sai; Chen, Qilong; Dong, Yiyang; Su, Haijia; Tan, Tianwei

doi:10.1002/mas.21466

Cited by 91 publications

(47 citation statements)

References 169 publications

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“…Despite the simplicity and lack of sophistication, results obtained by these techniques are properly linked with consumer perception (Gilbert et al, 2015). Nonetheless, it is desirable, in the near future, to use more accurate and high-performance mass spectrometric analytic techniques based, in our opinion, on direct analysis, such as DART-MS (Chen et al, 2007;Guo et al, 2017). Therefore, beside a better identification of compounds determining taste perception, a rapid quantification of blueberry nutraceutical compounds might also be possible.…”

Section: Discussionmentioning

confidence: 99%

Development of a Novel Phenotypic Roadmap to Improve Blueberry Quality and Storability

et al. 2020

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Improved fruit quality and prolonged storage capability are key breeding traits for blueberry (Vaccinium spp.) fruit. Until now, breeding selection was mostly oriented on the amelioration of agronomic traits, such as flowering time, chilling requirement, or plant structure. Up until now, however, the storage effect on fruit quality has not been extensively studied, mostly because objective and handy phenotyping tools to evaluate quality traits were not available. In this study we are proposing a novel phenotyping protocol to support breeding selection and quality control within the entire blueberry production chain. Volatile organic compounds (VOCs) and texture traits, were measured by Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-ToF-MS) and a texture analyzer respectively, taking into consideration the influence of prolonged storage. The exploitation of the genetic variability existing within the investigated blueberry germplasm collection (including both southern and northern highbush, hybrids, and rabbiteyes) allowed the identification of the best performing cultivars, based on texture and VOCs variability, to be used as superior parental lines for future breeding programs. The comprehensive characterization of blueberry aroma allowed the identification of a wide array of spectrometric features, mostly related to aldehydes, alcohols, terpenoids, and esters, that can be used as putative biomarkers to rapidly evaluate the blueberry aroma variations related to genetic differences and storability. In addition, this study revealed a lack of straightforward relationship between harvest and postharvest quality features, that might be genotype-dependent.

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Section: Discussionmentioning

confidence: 99%

Development of a Novel Phenotypic Roadmap to Improve Blueberry Quality and Storability

et al. 2020

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“…The commonly used ion source and mass analyzer are shown in Figure 2. Among them, direct analysis in real time (DART) is a revolutionary MS ionization technology that has emerged in recent years to enable high‐throughput laboratory analysis of samples (Guo et al., 2017). At the same time, it has the advantages of direct, fast, lossless, and in situ analysis.…”

Section: The Analysis Workflow Of Ms‐based Lipidomicsmentioning

confidence: 99%

Mass spectrometry‐based lipidomics in food science and nutritional health: A comprehensive review

Sun

Wang

Cong

et al. 2020

Comp Rev Food Sci Food Safe

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With the advance in science and technology as well as the improvement of living standards, the function of food is no longer just to meet the needs of survival. Food science and its associated nutritional health issues have been increasingly debated. Lipids, as complex metabolites, play a key role both in food and human health. Taking advantages of mass spectrometry (MS) by combining its high sensitivity and accuracy with extensive selective determination of all lipid classes, MS‐based lipidomics has been employed to resolve the conundrum of addressing both qualitative and quantitative aspects of high‐abundance and low‐abundance lipids in complex food matrices. In this review, we systematically summarize current applications of MS‐based lipidomics in food field. First, common MS‐based lipidomics procedures are described. Second, the applications of MS‐based lipidomics in food science, including lipid composition characterization, adulteration, traceability, and other issues, are discussed. Third, the application of MS‐based lipidomics for nutritional health covering the influence of food on health and disease is introduced. Finally, future research trends and challenges are proposed. MS‐based lipidomics plays an important role in the field of food science, promoting continuous development of food science and integration of food knowledge with other disciplines. New methods of MS‐based lipidomics have been developed to improve accuracy and sensitivity of lipid analysis in food samples. These developments offer the possibility to fully characterize lipids in food samples, identify novel functional lipids, and better understand the role of food in promoting healt.

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“…Laser systems working with different wavelengths can be used to ablate large biomolecules, such as DNA or proteins, as well as smaller metabolites and elements [32,33]. Some analytical platforms also enable the direct nontargeted measurement of food samples without any extraction, for example by means of infrared (IR) spectroscopy [34] (near IR [NIR] [35], mid IR [36]), Raman spectroscopy [37]) as well as different ionization sources for MS: direct analysis in real time (DART) [38], desorption electrospray ionization (DESI), rapid evaporative ionization mass spectrometry (REIMS) [39], liquid extraction surface analysis (LESA) [40], or laser ablation electrospray ionization (LAESI). However, the analytical information content (i.e.…”

Section: Sample Extractionmentioning

confidence: 99%

Food authentication in real life: How to link nontargeted approaches with routine analytics?

Creydt¹,

Fischer²

2020

Electrophoresis

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In times of increasing globalization and the resulting complexity of trade flows, securing food quality is an increasing challenge. The development of analytical methods for checking the integrity and, thus, the safety of food is one of the central questions for actors from science, politics, and industry. Targeted methods, for the detection of a few selected analytes, still play the most important role in routine analysis. In the past 5 years, nontargeted methods that do not aim at individual analytes but on analyte profiles that are as comprehensive as possible have increasingly come into focus. Instead of investigating individual chemical structures, data patterns are collected, evaluated and, depending on the problem, fed into databases that can be used for further nontargeted approaches. Alternatively, individual markers can be extracted and transferred to targeted methods. Such an approach requires (i) the availability of authentic reference material, (ii) the corresponding highresolution laboratory infrastructure, and (iii) extensive expertise in processing and storing very large amounts of data. Probably due to the requirements mentioned above, only a few methods have really established themselves in routine analysis. This review article focuses on the establishment of nontargeted methods in routine laboratories. Challenges are summarized and possible solutions are presented.

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Applications of DART‐MS for food quality and safety assurance in food supply chain

Cited by 91 publications

References 169 publications

Development of a Novel Phenotypic Roadmap to Improve Blueberry Quality and Storability

Development of a Novel Phenotypic Roadmap to Improve Blueberry Quality and Storability

Mass spectrometry‐based lipidomics in food science and nutritional health: A comprehensive review

Food authentication in real life: How to link nontargeted approaches with routine analytics?

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