Metabolomics integrated with machine learning to discriminate the geographic origin of Rougui Wuyi rock tea

Peng, Yifei; Zheng, Chao; Guo, Song; Gao, F.; Wang, Xiaoxia; Du, Zhenghua; Gao, Feng; Su, Feng; Zhang, Wenjing; Yu, Xueling; Li, Guoying; Liu, Baoshun; Wu, Chengjian; Sun, Yun; Yang, Zhenbiao; Zhang, Hao; Yu, Xiaomin

doi:10.1038/s41538-023-00187-1

Cited by 12 publications

(2 citation statements)

References 54 publications

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“…Metabolomics technology was also used to discriminate the geographic origin of Wuyi rock tea. The addition of ML was able to discriminate the volatiles of 333 samples (Peng et al, 2023). Similar techniques were applied for the geographical discrimination of a different type of tea, Flos Trollii, which is widely consumed in China.…”

Section: Teamentioning

confidence: 99%

Volatilomics as a tool to ascertain food adulteration, authenticity, and origin

Kaldeli,

Zakidou,

Paraskevopoulou

2024

Comp Rev Food Sci Food Safe

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Over recent years, there has been an increase in the number of reported cases of food fraud incidents, whereas at the same time, consumers demand authentic products of high quality. The emerging volatilomics technology could be the key to the analysis and characterization of the quality of different foodstuffs. This field of omics has aroused the interest of scientists due to its noninvasive, rapid, and cost‐profitable nature. This review aims to monitor the available scientific information on the use of volatilomics technology, correlate it to the relevant food categories, and demonstrate its importance in the food adulteration, authenticity, and origin areas. A comprehensive literature search was performed using various scientific search engines and “volatilomics,” “volatiles,” “food authenticity,” “adulteration,” “origin,” “fingerprint,” “chemometrics,” and variations thereof as keywords, without chronological restriction. One hundred thirty‐seven relevant publications were retrieved, covering 11 different food categories (meat and meat products, fruits and fruit products, honey, coffee, tea, herbal products, olive oil, dairy products, spices, cereals, and others), the majority of which focused on the food geographical origin. The findings show that volatilomics typically involves various methods responsible for the extraction and consequential identification of volatile compounds, whereas, with the aid of data analysis, it can handle large amounts of data, enabling the origin classification of samples or even the detection of adulteration practices. Nonetheless, a greater number of specific research studies are needed to unlock the full potential of volatilomics.

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Section: Teamentioning

confidence: 99%

Volatilomics as a tool to ascertain food adulteration, authenticity, and origin

Kaldeli,

Zakidou,

Paraskevopoulou

2024

Comp Rev Food Sci Food Safe

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“…Attempts to determine the geographical provenance of a food product have also become more prevalent with the introduction of protected geographical indication (PGI), protected designation of origin (PDO), and traditional specialities guaranteed (TSG) statuses by legislative bodies. Metabolomics presents a useful way of investigating the variability of metabolites found within different geographical populations of an edible insect species as it is relatively cheap compared to genomic and proteomic analysis and has been used to successfully discriminate the geographical origin of tea, rice, hazelnuts, honey, mussels and snapper fish (Azevedo et al, 2017(Azevedo et al, , 2017Ch et al, 2021;Drivelos et al, 2021;Goode et al, 2020;Klockmann et al, 2016;Peng et al, 2023;Rochfort et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Insects as Food in Aotearoa New Zealand

Birrell

2024

Preprint

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Edible insects have been proposed as a sustainable future protein source for a growing global population. Overseas, interest has seen investment in start-up companies specialising in producing insects for human consumption. Yet little is known of the edible insect species in Aotearoa New Zealand or whether New Zealanders are willing to consume insects. To address this, I investigated the current landscape of edible insects in Aotearoa. I created a catalogue of species with traditional and contemporary uses, the companies that are producing insect-based products and the social and legislative landscape they exist in. I then explored the social licence for insects as food, using a questionnaire to examine the perceptions and experiences of 620 participants, finding an openness to insects as food, influenced by prior experience, knowledge, and a low food neophobia score. However, this was tempered by sentiment analysis showing insect ingredients were viewed more negatively than other food ingredients suggesting an unconscious bias. The huhu beetle, Prionoplus reticularis, was widely listed by participants as an edible insect in Aotearoa, suggesting a potential candidate for future farming. However, surprisingly little is known about the biology of this well-known beetle. To address this, I used GCMS to explore the metabolomic profile of this species along a latitudinal gradient. I found that a random forest model trained on this data was able to predict the geographic location of a larvae with reasonable accuracy, providing a possible tool to detect the provenance of edible insects in the future. I investigated the beetles' scramble competition mating system, and, using static allometry and flight mills, I found evidence of the interplay of sexual selection and stabilising selection on traits associated with male fitness in this species. I also found evidence of sexual dimorphism in the species, indicating the importance of female chemical cues to male mate searching. Using scanning electron microscopy, I investigated the antennal ultrastructure of male and female P. reticularis, describing unique, sexually dimorphic sensilla in this species. This thesis serves as a starting point for the development of edible insects in Aotearoa.

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From heat to flavor: Unlocking new chemical signatures to discriminate Wuyi rock tea under light and moderate roasting

Peng

Wang

et al. 2024

Food Chemistry

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Metabolomics integrated with machine learning to discriminate the geographic origin of Rougui Wuyi rock tea

Cited by 12 publications

References 54 publications

Volatilomics as a tool to ascertain food adulteration, authenticity, and origin

Volatilomics as a tool to ascertain food adulteration, authenticity, and origin

Insects as Food in Aotearoa New Zealand

From heat to flavor: Unlocking new chemical signatures to discriminate Wuyi rock tea under light and moderate roasting

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