GC-MS Based Metabolite Profiling to Monitor Ripening-Specific Metabolites in Pineapple (Ananas comosus)

Caenorhabditis nematodes influence microbiome and metabolome characteristics of their natural apple substrates over time

The microbiomes of host organisms and their direct source environments are closely linked and key for shaping microbial community dynamics. The relationship between these linked dynamics is largely unexplored because source substrates are usually unavailable. To address this current knowledge gap, we employed bacteriovorous Caenorhabditis nematodes as a unique model system, for which source substrates like rotting apples can be easily collected. We compared single host microbiomes with their corresponding apple source substrates, as well as nematode-free substrates, over a 2-year sampling period in the botanical garden in Kiel, Germany. We found that single worms have unique microbiomes, which overlap most strongly with nematodes from the same source apple. A comparison to previous, related work revealed that variation in microbiome composition of natural Caenorhabditis isolates is significantly influenced by the substrate type, from which worms were obtained (e.g., fruits or compost). Our current sampling further showed that microbiome assembly is mostly driven by dispersal limitation. Importantly, two independent analysis approaches consistently suggest that worm microbiomes significantly influence characteristics of the apple microbiomes, possibly indicating niche construction by nematodes. Moreover, combining apple microbiome and metabolome data, we identified individual microbes and specific compounds indicative of fruit ripening that are significantly associated with nematode presence. In conclusion, our study elucidates the complex relationship between host microbiomes and their directly connected substrate microbiomes. Our analyses underscore the significant influence of nematode microbiomes on shaping the apple microbiome and, consequently, the fruit's metabolic capacity, thereby enhancing our general understanding of host-microbiome interactions in their natural habitat.IMPORTANCEAlmost all complex organisms are host to a microbial community, the microbiome. This microbiome can influence diverse host functions, such as food processing, protection against parasites, or development. The relationship between host and microbiome critically depends on the assembly of the microbial community, which may be shaped by microbes in the directly linked environment, the source microbiome. This assembly process is often not well understood because of the unavailability of source substrates. Here, we used Caenorhabditis nematodes as a model system that facilitates a direct comparison of host and source microbiomes. Based on a 2-year sampling period, we identified (i) a clear link between assembly dynamics of host and source microbiomes, (ii) a significant influence of nematode microbiomes on apple microbiomes, and (iii) specific microbes and compounds that are associated with the presence of nematodes in the sampled substrates. Overall, our study enhances our understanding of microbiome assembly dynamics and resulting functions.

Metabolic profiling reveals distinctive ripening dynamics in ethylene-treated Musa balbisiana cv. 'Pisang Klutuk Wulung' compared to commercial Cavendish banana

As an important crop, bananas still encounter fruit quality and shelf-life problems that are affected by the ripening process. Improving postharvest technologies may effectively address these challenges, such as by studying the ripening mechanism of banana cultivars with a slow ripening process. A banana cultivar that exhibits this characteristic is Musa balbisiana cv. 'Pisang Klutuk Wulung' (BB Group) or Pisang Klutuk Wulung (PKW), which has a ripening duration of 14-28 days. However, the metabolomics study on the ripening mechanism of this banana is still limited. This study aimed to analyze metabolite changes in ethylene-treated Pisang Klutuk Wulung during ripening in comparison to commercial bananas (Cavendish). Both bananas were subjected to exogenous ethylene treatment and analyzed using gas chromatography-mass spectrometry to perform metabolite profiling throughout the ripening process. The principal component analysis showed sample separation based on the ripening stages and banana species in pulp and peel. Orthogonal projection to latent structure analysis suggested that metabolite changes accompanied the ripening stages. Potential metabolite markers that distinguished the ripening of PKW and Cavendish were found, such as quinic acid, inositol, and 2-aminoethanol. This study shows differences in metabolite profiles between these bananas, especially the metabolites involved in sugar metabolism, cell wall metabolism, stress response, and biosynthesis of aromatic compounds. This study provides novel insights into the metabolic changes occurring during PKW ripening, contributing to the improvement of banana postharvest strategies.

Gas chromatography-mass spectrometry metabolic profiling and sensory evaluation of greenhouse mangoes (Mangifera indica L. 'Irwin') over multiple harvest seasons

Compared to outdoor mango cultivation in the tropics, greenhouse cultivation in temperate regions is less reported due to its short history and small scale. Here, we evaluated for the first time the taste-focused quality of greenhouse-grown mangoes (Irwin) by GC-MS metabolic profiling and sensory evaluation for over three years (2021-2023). The relative standard deviation in sensory evaluation scores was approximately 15 % each year. Meanwhile, principal component analysis was performed on 45 identified metabolites and clustered with similar topology over three years. Orthogonal partial least squares regression analysis showed that a prediction model could be constructed with R2, Q2 = 0.9 or higher for all three years. Furthermore, the 2021 prediction model was used to evaluate the accuracy of sensory evaluation scores in a different year (2023). Compared to the model that used all 45 metabolites as explanatory variables, the accuracy of the model improved when using only 24 important metabolites which are common to both years (2021 and 2022), suggesting that these metabolites are highly reproducible across years. This study would contribute not only to fundamental greenhouse information, but also to the improvement of quality and cultivation methods in greenhouse in the future.

Effect of sodium metabisulfite treatment and storage condition on metabolic profile of young coconut (Cocos nucifera L.)

Young coconuts (Cocos nucifera L.) used for export are trimmed to reduce their size and weight to lower transport costs. However, trimmed coconuts have a shorter shelf life due to microbial spoilage and surface discoloration caused by enzymatic browning. To minimize these effects, trimmed coconuts were dipped in an anti-browning agent, sodium metabisulfite (SMB), and stored under ambient conditions. However, there have been no reports on the effects of SMB treatment on metabolome changes in the flesh and water of young coconuts. Hence, this study investigated the metabolite changes in trimmed young coconuts after SMB treatment under different storage conditions using a gas chromatography (GC)/mass spectrometry (MS) metabolomic profiling approach. Tall young coconut samples were trimmed and treated with a 2% SMB solution for 5 min before storage at 25 °C or 4 °C for 2-4 weeks. Coconut flesh and water samples were collected after storage for 0, 2, and 4 weeks, and were subjected to GC-MS analysis. The results showed that the major metabolites affected by coconut deterioration were amino acids, sugars, and sugar alcohols. SMB treatment and/or refrigeration can help prevent metabolite changes in the flesh and water of young coconuts. In the future, improvements in storage conditions based on metabolite profiles should be explored.

Multidisciplinary approach combining food metabolomics and epidemiology identifies meglutol as an important bioactive metabolite in tempe, an Indonesian fermented food

This study introduces a multidisciplinary approach to investigate bioactive food metabolites often overlooked due to their low concentrations. We integrated an in-house food metabolite library (n = 494), a human metabolite library (n = 891) from epidemiological studies, and metabolite pharmacological databases to screen for food metabolites with potential bioactivity. We identified six potential metabolites, including meglutol (3-hydroxy-3-methylglutarate), an understudied low-density lipoprotein (LDL)-lowering compound. We further focused on meglutol as a case study to showcase the range of characterizations achievable with this approach. Green pea tempe was identified to contain the highest meglutol concentration (21.8 ± 4.6 mg/100 g). Furthermore, we identified a significant cross-sectional association between plasma meglutol (per 1-standard deviation) and lower LDL cholesterol in two Hispanic adult cohorts (n = 1,628) (β [standard error]: -5.5 (1.6) mg/dl, P = 0.0005). These findings highlight how multidisciplinary metabolomics can serve as a systematic tool for discovering and enhancing bioactive metabolites in food, such as meglutol, with potential applications in personalized dietary approaches for disease prevention.

Characteristics of kopyor coconut (Cocos nucifera L.) using sensory analysis and metabolomics-based approach

Kopyor is a coconut with unique characteristics from Indonesia, one of the largest coconut producers in the world. Kopyor is an edible mature coconut with soft endosperm. Although this fruit is one of the most popular coconuts in the world, there are limited studies on its properties, including its sensory attributes and metabolite profiles. This study investigates the characteristics of kopyor using sensory evaluation, a widely targeted metabolomics approach, and multivariate analysis. The liquid (water) and solid (flesh) endosperms were collected as the samples. The results showed that kopyor has characteristics that distinguish it from normal mature and young coconuts. Kopyor water has a milky, creamy, nutty, bitter, and astringent taste with an oily aftertaste and mouthfeel. Kopyor flesh is soft and moist and gives a sandy mouth feel. This study analyzed the sensory attributes of the kopyor endosperm for the first time and compared it with those of normal mature and young coconuts. A gas chromatography mass spectrometry analysis showed that kopyor contained wider variety of metabolites than normal coconuts of the same age. Based on the differential analysis and orthogonal projections to latent structures-regression, kopyor water was characterized by the accumulation of flavor-related metabolites, such as amino acids and organic acids, which contributed to its sensory complexity. This study solidified the effects of maturation and endosperm type on metabolite accumulation in kopyor endosperm. This pioneering information will lead to the future use of kopyor and other unique coconuts worldwide for food, contributing to the sustainability of the coconut industry.

Improved quantitative analysis of tenuifolin using hydrolytic continuous-flow system to build prediction models for its content based on near-infrared spectroscopy

This study used two types of analyses and statistical calculations on powdered samples of Polygala root (PR) and Senega root (SR): (1) determination of saponin content by an independently developed quantitative analysis of tenuifolin content using a flow reactor, and (2) near-infrared spectroscopy (NIR) using crude drug powders as direct samples for metabolic profiling. Furthermore, a prediction model for tenuifolin content was developed and validated using multivariate analysis based on the results of (1) and (2). The goal of this study was to develop a rapid analytical method utilizing the saponin content and explore the possibility of quality control through a wide-area survey of crude drugs using NIR spectroscopy. Consequently, various parameters and appropriate wavelengths were examined in the regression analysis, and a model with a reasonable contribution rate and prediction accuracy was successfully developed. In this case, the wavenumber contributing to the model was consistent with that of tenuifolin, confirming that this model was based on saponin content. In this series of analyses, we have succeeded in developing a model that can quickly estimate saponin content without post-processing and have demonstrated a brief way to perform quality control of crude drugs in the clinical field and on the market.

Integration of Metabolomics and Transcriptomics to Explore Dynamic Alterations in Fruit Color and Quality in 'Comte de Paris' Pineapples during Ripening Processes

Pineapple color yellowing and quality promotion gradually manifest as pineapple fruit ripening progresses. To understand the molecular mechanism underlying yellowing in pineapples during ripening, coupled with alterations in fruit quality, comprehensive metabolome and transcriptome investigations were carried out. These investigations were conducted using pulp samples collected at three distinct stages of maturity: young fruit (YF), mature fruit (MF), and fully mature fruit (FMF). This study revealed a noteworthy increase in the levels of total phenols and flavones, coupled with a concurrent decline in lignin and total acid contents as the fruit transitioned from YF to FMF. Furthermore, the analysis yielded 167 differentially accumulated metabolites (DAMs) and 2194 differentially expressed genes (DEGs). Integration analysis based on DAMs and DEGs revealed that the biosynthesis of plant secondary metabolites, particularly the flavonol, flavonoid, and phenypropanoid pathways, plays a pivotal role in fruit yellowing. Additionally, RNA-seq analysis showed that structural genes, such as FLS, FNS, F3H, DFR, ANR, and GST, in the flavonoid biosynthetic pathway were upregulated, whereas the COMT, CCR, and CAD genes involved in lignin metabolism were downregulated as fruit ripening progressed. APX as well as PPO, and ACO genes related to the organic acid accumulations were upregulated and downregulated, respectively. Importantly, a comprehensive regulatory network encompassing genes that contribute to the metabolism of flavones, flavonols, lignin, and organic acids was proposed. This network sheds light on the intricate processes that underlie fruit yellowing and quality alterations. These findings enhance our understanding of the regulatory pathways governing pineapple ripening and offer valuable scientific insight into the molecular breeding of pineapples.

Chitosan-based coating enriched with melezitose alters primary metabolites in fresh-cut pineapple during storage

Demand for minimally processed fresh fruit is increasing due to its convenience. However, the distribution of fresh-cut fruits is limited because of their short shelf life. Pineapple, a popular tropical fruit, sold in fresh-cut form has a shelf life of approximately 5-7 days at 4 °C. Chitosan, an edible coating, is commonly used to prolong the shelf life of food products. Similarly, the sugar melezitose has been reported to change during pineapple ripening and may play a role in regulating the shelf life of pineapple. However, the direct effects of this sugar have yet to be studied. The objective of this study was to investigate the effect of chitosan coating with melezitose to prolong the shelf life of fresh-cut pineapple. Full-ripe Bogor pineapples from Okinawa, Japan, were cut into cubes and soaked in either chitosan 1.25%, melezitose 5 mg/L, or chitosan+melezitose and stored for 5 days under dark conditions (23.6 ± 0.5 °C; relative humidity, 40.0 ± 10.4%). None of the treatments significantly altered the weight loss or color changes in the fresh-cut fruit. However, treatment significantly altered the primary metabolites, namely quinic acid, sucrose, and xylitol based on orthogonal projection to latent structures data with the screening from p-value score. Moreover, cell-wall metabolism is possibly affected in pineapple cut fruit treated by chitosan-melezitose as shown from metabolite sets enrichment analysis. This study showed that chitosan added with melezitose might have potential to prolong the shelf-life of fresh-cut pineapple, providing a basis for further post-harvest studies of the whole pineapple fruit.

Identification of potential quality markers in Indonesia's Arabica specialty coffee using GC/MS-based metabolomics approach

INTRODUCTION

The cupping test is a widely used method for quality assessment of Arabica coffee. However, the cupping test is limited by the low number of certified panelists and the low throughput. Therefore, an analytical-based quality assessment may be a promising tool to complement the cupping test. A present, there is no report investigating quality marker candidates, focusing only on "specialty" grade Arabica coffee from Indonesia.

OBJECTIVE

This study identified the potential quality marker(s) in Arabica Specialty coffee at different stages (green beans, roasted beans, and brewed coffee.

METHODS

The metabolite profiles of ten different Arabica specialty-grade coffees were analyzed with different cup scores using gas chromatography-mass spectrometry (GC/MS). From the ten samples, green coffee beans, roasted coffee beans, and brewed coffee were selected. In addition, an orthogonal projection to latent structure (OPLS) regression analysis was conducted to obtain a potential quality marker based on the variable importance in projection (VIP). The potential quality marker(s) were validated by GC/MS metabolome profiling and OPLS analysis of different sets of samples consisting of 35 Arabica specialty-grade coffee samples.

RESULTS

In Arabica coffee samples, the OPLS model of the three stages showed galactinol to have a high VIP score. Galactinol showed a consistent positive correlation with cup scores at all stages of coffee production (green beans, roasted beans, and brewed coffee). The correlation suggests galactinol is a potential quality marker after further validation using different samples.

CONCLUSION

GC/MS combined with OPLS regression analysis suggested galactinol as a quality marker and provide an early screening method for Arabica coffee quality that complements the cupping test performed by certified panelists.

Metabolite Changes in Indonesian Tempe Production from Raw Soybeans to Over-Fermented Tempe

Tempe is fermented soybean from Java, Indonesia, that can serve as a functional food due to its high nutritional content and positive impact on health. Although the tempe fermentation process is known to affect its nutrient content, changes in the metabolite profile during tempe production have not been comprehensively examined. Thus, this research applied a metabolomics approach to investigate the metabolite profile in each step of tempe production, from soybean soaking to over-fermentation. Fourteen samples of raw soybeans, i.e., soaked soybeans (24 h), steamed soybeans, fungal fermented soybeans, and over-fermented soybeans (up to 72 h), were collected. Untargeted metabolomics by gas chromatography/mass spectrometry (GC-MS) was used to determine soybean transformations from various fermentation times and identify disparity-related metabolites. The results showed that soybeans samples clustered together on the basis of the different fermentation steps. The results also showed that sugar, sugar alcohol, organic acids, and amino acids, as well as fermentation time, contributed to the soybean metabolite profile transformations. During the fermentation of tempe, sugars and sugar alcohols accumulated at the beginning of the process before gradually decreasing as fermentation progressed. Specifically, at the beginning of the fermentation, gentiobiose, galactinol, and glucarate were accumulated, and several metabolites such as glutamine, 4-hydroxyphenylacetic acid, and homocysteine increased along with the progression of fermentation. In addition, notable isoflavones daidzein and genistein increased from 24 h of fermentation until 72 h. This is the first report that provides a complete description of the metabolic profile of the tempe production from soybean soaking to over-fermentation. Through this study, the dynamic changes at each step of tempe production were revealed. This information can be beneficial to the tempe industry for the improvement of product quality based on metabolite profiling.

Pattern Recognition of Varieties of Peach Fruit and Pulp from Their Volatile Components and Metabolic Profile Using HS-SPME-GC/MS Combined with Multivariable Statistical Analysis

A fruit's aroma profile, composed of a complex mixture of volatile organic compounds, is among the core attributes related to the overall taste and consumer preference. Prunus persica L. is a preferred summer fruit with a distinct, favorable olfactory characteristic. The volatile compositions of both peach fruits and fruit pulps from eight peach cultivars (four native and four introduced) was investigated to compare their composition and assess flavor-contributing compounds. In total, 65 compounds were profiled after a HS-SPME-GC-MS analysis: 16 esters, 14 aldehydes, 5 alcohols, 7 hydrocarbons, 7 ketones, 8 acids, and 8 terpenes. The most common compounds were esters, acids, and aldehydes. Although the same compounds were identified in both fruit and pulp, their %TIC (total ion current) differed in favor of the whole fruit. Following the metabolic profiling of the whole fruit and fruit pulp, a total of 44 compounds were identified from the studied varieties. Among them, amino acids, organic acids, sugar alcohols, saccharides, fatty acids, and phenolic acids were identified as existing groups. According to the provided principal component analysis (PCA) and hierarchical cluster analysis (HCA), the relative %TIC of the identified volatile compounds fluctuated depending on the studied cultivar. No differences were visible in the PCA biplots, which suggested that the polar and lipid metabolites do not provide significant variations when considering different parts of the fruit, contrary to the volatile compounds. The obtained results could successfully be applied in the metabolic chemotaxonomy of peaches and the differentiation of the metabolites present in different parts of the peach.

Metabolomic and transcriptomic analyses reveal the mechanism of sweet-acidic taste formation during pineapple fruit development

Pineapple (Ananas comosus L.) is one of the most valuable subtropical fruit crop in the world. The sweet-acidic taste of the pineapple fruits is a major contributor to the characteristic of fruit quality, but its formation mechanism remains elusive. Here, targeted metabolomic and transcriptomic analyses were performed during the fruit developmental stages in two pineapple cultivars ("Comte de Paris" and "MD-2") to gain a global view of the metabolism and transport pathways involved in sugar and organic acid accumulation. Assessment of the levels of different sugar and acid components during fruit development revealed that the predominant sugar and organic acid in mature fruits of both cultivars was sucrose and citric acid, respectively. Weighted gene coexpression network analysis of metabolic phenotypes and gene expression profiling enabled the identification of 21 genes associated with sucrose accumulation and 19 genes associated with citric acid accumulation. The coordinated interaction of the 21 genes correlated with sucrose irreversible hydrolysis, resynthesis, and transport could be responsible for sucrose accumulation in pineapple fruit. In addition, citric acid accumulation might be controlled by the coordinated interaction of the pyruvate-to-acetyl-CoA-to-citrate pathway, gamma-aminobutyric acid pathway, and tonoplast proton pumps in pineapple. These results provide deep insights into the metabolic regulation of sweetness and acidity in pineapple.

Metabolome Analysis of Banana (Musa acuminata) Treated With Chitosan Coating and Low Temperature Reveals Different Mechanisms Modulating Delayed Ripening

Banana (Musa acuminata) is one of the most important crop plants consumed in many countries. However, the commercial value decreases during storage and transportation. To maintain fruit quality, postharvest technologies have been developed. Storage at low temperature is a common method to prolong the shelf life of food products, especially during transportation and distribution. Another emerging approach is the use of chitosan biopolymer as an edible coating, which can extend the shelf life of fruit by preventing moisture and aroma loss, and inhibiting oxygen penetration into the plant tissue. Gas chromatography-mass spectrometry metabolite profiling of the banana ripening process was performed to clarify the global metabolism changes in banana after chitosan coating or storage at low temperature. Both postharvest treatments were effective in delaying banana ripening. Interestingly, principal component analysis and orthogonal projection to latent structure regression analysis revealed significant differences of both treatments in the metabolite changes, indicating that the mechanism of prolonging the banana shelf life may be different. Chitosan (1.25% w/v) treatment stored for 11 days resulted in a distinct accumulation of 1-aminocyclopropane-1-carboxylic acid metabolite, an important precursor of ethylene that is responsible for the climacteric fruit ripening process. Low temperature (LT, 14 ± 1°C) treatment stored for 9 days resulted in higher levels of putrescine, a polyamine that responds to plant stress, at the end of ripening days. The findings clarify how chitosan delays fruit ripening and provides a deeper understanding of how storage at low temperature affects banana metabolism. The results may aid in more effective development of banana postharvest strategies.

Dynamic Changes in the Bacterial Community and Metabolic Profile during Fermentation of Low-Salt Shrimp Paste (Terasi)

Low-salt shrimp paste, or terasi, is an Indonesian fermented food made from planktonic shrimp mixed with a low concentration of salt. Since high daily intake of sodium is deemed unhealthy, reduction of salt content in shrimp paste production is desired. Until now, there is no reported investigation on the bacterial population and metabolite composition of terasi during fermentation. In this study, the bacterial community of terasi was assessed using high-throughput sequencing of the 16S rRNA V3–V4 region. From this analysis, Tetragenococcus, Aloicoccus, Alkalibacillus, Atopostipes, and Alkalibacterium were found to be the dominant bacterial genus in low-salt shrimp paste. GC/MS-based metabolite profiling was also conducted to monitor the metabolite changes during shrimp paste fermentation. Results showed that acetylated amino acids increased, while glutamine levels decreased, during the fermentation of low-salt shrimp paste. At the start of shrimp paste fermentation, Tetragenococcus predominated with histamine and cadaverine accumulation. At the end of fermentation, there was an increase in 4-hydroxyphenyl acetic acid and indole-3-acetic acid levels, as well as the predominance of Atopostipes. Moreover, we found that aspartic acid increased during fermentation. Based on our findings, we recommend that fermentation of low-salt shrimp paste be done for 7 to 21 days, in order to produce shrimp paste that has high nutritional content and reduced health risk.

Untargeted Analysis of Lemna minor Metabolites: Workflow and Prioritization Strategy Comparing Highly Confident Features between Different Mass Spectrometers

Metabolomics approaches provide a vast array of analytical datasets, which require a comprehensive analytical, statistical, and biochemical workflow to reveal changes in metabolic profiles. The biological interpretation of mass spectrometric metabolomics results is still obstructed by the reliable identification of the metabolites as well as annotation and/or classification. In this work, the whole Lemna minor (common duckweed) was extracted using various solvents and analyzed utilizing polarity-extended liquid chromatography (reversed-phase liquid chromatography (RPLC)-hydrophilic interaction liquid chromatography (HILIC)) connected to two time-of-flight (TOF) mass spectrometer types, individually. This study (introduces and) discusses three relevant topics for the untargeted workflow: (1) A comparison study of metabolome samples was performed with an untargeted data handling workflow in two different labs with two different mass spectrometers using the same plant material type. (2) A statistical procedure was observed prioritizing significant detected features (dependent and independent of the mass spectrometer using the predictive methodology Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA). (3) Relevant features were transferred to a prioritization tool (the FOR-IDENT platform (FI)) and were compared with the implemented compound database PLANT-IDENT (PI). This compound database is filled with relevant compounds of the Lemnaceae, Poaceae, Brassicaceae, and Nymphaceae families according to analytical criteria such as retention time (polarity and LogD (pH 7)) and accurate mass (empirical formula). Thus, an untargeted analysis was performed using the new tool as a prioritization and identification source for a hidden-target screening strategy. Consequently, forty-two compounds (amino acids, vitamins, flavonoids) could be recognized and subsequently validated in Lemna metabolic profile using reference standards. The class of flavonoids includes free aglycons and their glycosides. Further, according to our knowledge, the validated flavonoids robinetin and norwogonin were for the first time identified in the Lemna minor extracts.

Gas chromatography-mass spectrometry-based metabolite profiling and sensory profile of Indonesian fermented food (tempe) from various legumes

Tempe is an Indonesian fermented food prepared from soybean or other non-soy legumes. Non-soy legumes based tempes have been reported to have a nutritional profile different from that of soybean-based tempe. However, a comprehensive study of the metabolite and sensory profiles of legume tempes has not been conducted. This study investigated the metabolite profile of legumes before and after fermentation using a metabolomic approach and its relation to the sensory profile. Four different legumes, namely red kidney bean, soybean, cowpea bean, and jack bean, and four kinds of tempe prepared from the abovementioned legumes were subjected to gas chromatography-mass spectrometry (GC-MS) analysis. These tempe samples were fermented in two different production places, Japan and Indonesia. In total, 83 metabolites were annotated from all samples. Principal component analysis (PCA) showed that the samples were separated based on their type (legume and tempe) along PC1 with a 36.3% variance, in which sugars and amino acids significantly contributed to the separation. In addition, samples were separated along PC2 with a 17.2% variance based on the different production places. The combination of 75% soybean and 25% red kidney bean (75S:25R) could increase the concentrations of amino acids that were initially low in soybean tempe. The 75S:25R tempe showed no significant differences in taste and texture preference compared to the 100% soybean tempe, based on sensory result. These findings provide evidence that metabolomics could be used to identify the differences between tempes from different legumes.

Characterization of five Indonesian mangoes using gas chromatography-mass spectrometry-based metabolic profiling and sensory evaluation

Indonesia is one of the world's leading mango producers and grows many cultivars. However, only a few cultivars have been commercialized, perhaps because of limited information on consumer preferences that meet the market demands. Here, non-targeted gas chromatography-mass spectrometry (GC-MS)-based metabolome analysis was used to characterize five Indonesian mango cultivars considering their taste characteristics. A total of 95 components (47 annotated and 48 unknown metabolites) were identified. Cultivars with a higher general impression score (Arumanis 143 and Gedong) in principal component analysis (PCA) accumulated more sugars and sweetening components, such as glycine and lyxose. Meanwhile, cultivars with a lower general impression score in PCA (Lalijiwo and Cengkir Indramayu) accumulated more aspartic acid, isocitric acid, and citric acid, which increase sourness; methionine, which is a precursor of sulfur-containing volatile aroma components; and phenylalanine, which contributes to bitterness. Furthermore, orthogonal projection to latent structures discriminant analysis revealed that nicotinic acid, glutamic acid, aspartic acid, glycine, and ribose characterized higher or lower general impression cultivars. In addition, metabolic profiling of eight mango cultivars, including five Indonesian and three overseas cultivars, suggested that taste was more influential than differences in cultivars, production areas, and cultivation conditions by its hydrophilic primary metabolomics. These findings will serve as fundamental data for future mango industry development considering the association between the unique taste of each cultivar and its metabolites as well as the consumer preferences for Indonesian mango.

Comparative metabolomics and sensory evaluation of pineapple (Ananas comosus) reveal the importance of ripening stage compared to cultivar

The pineapple ripening stage is determined at the time of harvest and can be classified into the C0 to C4 stage based on its peel color. C1 and C4 pineapples are the most commonly exported products with high demand. Pineapple also has many cultivars with different tastes and appearances. However, there are limited studies regarding the metabolite and taste profiles of pineapple from different cultivars and ripening stages using a metabolomics approach. Therefore, the objective of this study was to investigate the metabolite and sensory profiles of pineapple from different cultivars and different ripening stages. Three cultivars of pineapple (Red Spanish, Smooth Cayenne, and Queen) and C1, C3, and C4 stages from Indonesia, Japan, the Philippines, and Taiwan, respectively, were analyzed by gas chromatography/mass spectrometry (GC/MS). The data obtained from GC/MS analysis were combined with the data obtained from sensory evaluation, which showed that sourness and firmness contributed to C1 fruits with metabolites correlated to isocitric acid+citric acid, malic acid, ascorbic acid, and quinic acid, while sweetness, juiciness, and high acceptability contributed to C4 fruits with metabolites that correlated were asparagine, serine, glycine, threonic acid, sucrose, and 5-hydroxytryptamine. GC/MS analysis using different pineapple cultivars also showed characteristic metabolites for each cultivar. Prediction of the sensory profile was performed by investigating the relative intensity of taste-related metabolites. This information can provide a basis for improving pineapple taste quality related to metabolites, depending on the cultivar and ripening stage.

Novel Insight into the Relationship between Metabolic Profile and Fatty Acid Accumulation Altering Cellular Lipid Content in Pineapple Fruits at Different Stages of Maturity

Pineapple fruits are usually harvested at different stages of maturity, based on consumer demands. The stage of maturity significantly affects the storage tolerance due to alterations in the cellular lipid homeostasis in the fruits. The characteristic abundance of metabolites and fatty acids (FAs) can provide vital information giving insight into the cellular lipid changes that occur during the ripening process in the fruits. Here, liquid chromatography-tandem mass spectrometry, largely based on the analysis of widely targeted metabolomics, was applied to evaluate the differences in the metabolites among the pineapple at three different stages of maturity namely, pineapples at the young fruit (YF), mature fruit (MF), and fully mature fruit (FMF) stages. In this study, 466 metabolites were annotated and identified. Among these, 59 lipids, including the glyceride esters, fatty acids and conjugates, and lysophospholipids (LPLs) were characterized. Notably, the LPLs were down-regulated in their relative abundance in the MF compared with the YF, and subsequently they remained almost stable in the FMF stage. The FA profiling results revealed the presence of certain unsaturated fatty acids (UFAs); besides, the total monounsaturated fatty acid (MUFA) to saturated fatty acid (SFA) ratio, as well as the polyunsaturated fatty acids (PUFA) to SFA ratio, showed noticeable decrease during the ripening process. The differential accumulation patterns of the LPLs, MUFAs, PUFAs, and SFAs imply that the lipid degradation and peroxidation take place in the pineapple fruits from the YF to MF and YF to FMF stages, respectively. The present study provides new insights into the alterations in the cellular lipid metabolism underlying the metabolite profiles and accumulation of FAs in pineapple fruits during ripening.

Gas chromatography/mass spectrometry-based metabolite profiling of coffee beans obtained from different altitudes and origins with various postharvest processing

INTRODUCTION

Coffee is a popular beverage because of its pleasant aroma and distinctive flavor. The flavor of coffee results from chemical transformations influenced by various intrinsic and extrinsic factors, including altitude, geographical origin, and postharvest processing. Despite is the importance of grading coffee quality, there is no report on the dominant factor that influences the metabolomic profile of green coffee beans and the correlated metabolites for each factor.

OBJECTIVE

This study investigated the total metabolite profile of coffees from different altitudes and coffees subjected to different postharvest processing.

METHOD

Arabica green coffee beans obtained from different geographical origins and different altitudes (400 and 800 m) and produced by different postharvest processes (dry, honey, and washed process) were used in this study. Coffee samples obtained from altitudes of 400-1600 m above sea level from various origins that were produced by the washed method were used for further study with regard to altitudes. Samples were subjected to gas chromatography/mass spectrometry (GC/MS) analysis and visualized using principal component analysis (PCA) and orthogonal partial least squares (OPLS) regression analysis.

RESULTS

The PCA results showed sample separation based on postharvest processing in PC1 and sample separation based on altitude in PC2. A clear separation between samples from different altitudes was observed if the samples were subjected to the same postharvest processing method, and the samples were of the same origin. Based on this result, OPLS analysis was conducted using coffee samples obtained from various altitudes with the same postharvest processing. An OPLS model using altitude as a response variable and 79 metabolites annotated from the GC/MS analysis as an explanatory variable was constructed with good R² and Q² values.

CONCLUSION

Postharvest processing was found to be the dominant factor affecting coffee metabolite composition; this was followed by geographical origin and altitude. The metabolites glutamic acid and galactinol were associated with the washed and honey process, while glycine, lysine, sorbose, fructose, glyceric acid, and glycolic acid were associated with the dry process. Two metabolites with high variable influence on projection scores in the OPLS model for altitude were inositol and serotonin, which showed positive and negative correlations, respectively. This is the first study to report characteristic coffee metabolites obtained from different altitudes.

GC-MS Metabolic Profile and α-Glucosidase-, α-Amylase-, Lipase-, and Acetylcholinesterase-Inhibitory Activities of Eight Peach Varieties

The inhibition of certain digestive enzymes by target food matrices represents a new approach in the treatment of socially significant diseases. Proving the ability of fruits to inhibit such enzymes can support the inclusion of specific varieties in the daily diets of patients with diabetes, obesity, Alzheimer's disease, etc., providing them with much more than just valuable micro- and macromolecules. The current study aimed atidentifying and comparing the GC-MS metabolic profiles of eight peach varieties ("Filina", "Ufo 4, "Gergana", "Laskava", "July Lady", "Flat Queen", "Evmolpiya", and "Morsiani 90") grown in Bulgaria (local and introduced) and to evaluate the inhibitory potential of their extracts towards α-glucosidase, α-amylase, lipase, and acetylcholinesterase. In order to confirm samples' differences or similarities, principal component analysis (PCA) and hierarchical cluster analysis (HCA) were also applied to the identified metabolites. The results provide important insights into the metabolomic profiles of the eight peach varieties and represent a first attempt to characterize the peels of the peach varieties with respect to α-glucosidase-, α-amylase-, lipase-, and acetylcholinesterase-inhibitory activities. All of the studied peach extracts displayed inhibitory activity towards α-glucosidase (IC₅₀: 125-757 mg/mL) and acetylcholinesterase (IC₅₀: 60-739 mg/mL), but none of them affected α-amylase activity. Five of the eight varieties showed inhibitory activity towards porcine pancreatic lipase (IC₅₀: 24-167 mg/mL). The obtained results validate the usefulness of peaches and nectarines as valuable sources of natural agents beneficial for human health, although further detailed investigation should be performed in order to thoroughly identify the enzyme inhibitors responsible for each activity.

Metabolomics analysis of the soapberry (Sapindus mukorossi Gaertn.) pericarp during fruit development and ripening based on UHPLC-HRMS

Soapberry (Sapindus mukorossi Gaertn.) is a multi-functional tree with widespread application in toiletries, biomedicine, biomass energy, and landscaping. The pericarp of soapberry can be used as a medicine or detergent. However, there is currently no systematic study on the chemical constituents of soapberry pericarp during fruit development and ripening, and the dynamic changes in these constituents still unclear. In this study, a non-targeted metabolomics approach using ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) was used to comprehensively profile the variations in metabolites in the soapberry pericarp at eight fruit growth stages. The metabolome coverage of UHPLC-HRMS on a HILIC column was higher than that of a C18 column. A total of 111 metabolites were putatively annotated. Principal component analysis and hierarchical clustering analysis of pericarp metabolic composition revealed clear metabolic shifts from early (S1–S2) to late (S3–S5) development stages to fruit ripening stages (S6–S8). Furthermore, pairwise comparison identified 57 differential metabolites that were involved in 18 KEGG pathways. Early fruit development stages (S1–S2) were characterized by high levels of key fatty acids, nucleotides, organic acids, and phosphorylated intermediates, whereas fruit ripening stages (S6–S8) were characterized by high contents of bioactive and valuable metabolites, such as troxipide, vorinostat, furamizole, alpha-tocopherol quinone, luteolin, and sucrose. S8 (fully developed and mature stage) was the most suitable stage for fruit harvesting to utilize the pericarp. To the best of our knowledge, this was the first metabolomics study of the soapberry pericarp during whole fruit growth. The results could offer valuable information for harvesting, processing, and application of soapberry pericarp, as well as highlight the metabolites that could mediate the biological activity or properties of this medicinal plant.

Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits

Fruits provide humans with multiple kinds of nutrients and protect humans against worldwide nutritional deficiency. Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds of fruit, including passion fruit, mango, starfruit, mangosteen, guava, mandarin orange, grape, apple, blueberry, and strawberry. In total, we detected over 2500 compounds and identified more than 300 nutrients. Although the ten fruits shared 909 common-detected compounds, each species accumulated a variety of species-specific metabolites. Additionally, metabolic profiling analyses revealed a constant variation in each metabolite’s content across the ten fruits. Moreover, we constructed a neighbor-joining tree using metabolomic data, which resembles the single-copy protein-based phylogenetic tree. This indicates that metabolome data could reflect the genetic relationship between different species. In conclusion, our work enriches knowledge on the metabolomics of fruits, and provides metabolic evidence for the genetic relationships among these fruits.

High-fat diet-induced memory impairment and anxiety-like behavior in rats attenuated by peel extract of Ananas comosus fruit via atheroprotective, antioxidant and anti-inflammatory actions

BACKGROUND

Pineapple peel is a waste component of pineapple with valuable source of metabolites as phytoactive compounds in ameliorating metabolic-related disorders. This study investigated the atheroprotective and neuroprotective effects of peel extract of Ananas comosus fruit (PEAC) in normal diet (ND) and high-fat diet (HFD) fed rats.

METHODS

Male Wistar rats were fed ND or HFD for 9 weeks, and beginning from the 6th week animals were also orally treated with PEAC (200 mg/kg). Memory performance was assessed using Y-maze test (YMT) and novel object recognition test (NORT) while anxiolytic-like effect was assessed on the elevated plus maze (EPM). Serum cholesterol, triglycerides and HDL-C were determined, while LDL-C and atherogenic risk calculated. Serum and brain tissue malondialdehyde, reduced glutathione, catalase were determined. Brain acetylcholinesterase activity and interleukin-6 level were also determined.

RESULTS

PEAC significantly attenuated HFD-induced reduction in correct alternation in YMT, and discrimination index in NORT. Also, PEAC demonstrated anxiolytic-like activity in EPM test. PEAC significantly improved lipid profile and decreased risk of atherogenicity in ND and HFD-fed rats. In addition, PEAC improves serum and brain antioxidant status by decreasing malondialdehyde and increasing GSH and catalase. PEAC significantly impaired HFD-induced brain acetylcholinesterase activity and IL-6 levels.

CONCLUSION

These findings suggest that peel extract of Ananas comosus fruit may protect against diet-induced behavioral disturbances via atheroprotective, antioxidants and anti-inflammatory activities.

Special Issue on "Fruit Metabolism and Metabolomics"

Over the past 10 years, knowledge about several aspects of fruit metabolism has been greatly improved. Notably, high-throughput metabolomic technologies have allowed quantifying metabolite levels across various biological processes, and identifying the genes that underly fruit development and ripening. This Special Issue is designed to exemplify the current use of metabolomics studies of temperate and tropical fruit for basic research as well as practical applications. It includes articles about different aspects of fruit biochemical phenotyping, fruit metabolism before and after harvest, including primary and specialized metabolisms, and bioactive compounds involved in growth and environmental responses. The effect of genotype, stages of development or fruit tissue on metabolomic profiles and corresponding metabolism regulations are addressed, as well as the combination of other omics with metabolomics for fruit metabolism studies.