Next Article in Journal
Antioxidant Potential of Diosmin and Diosmetin against Oxidative Stress in Endothelial Cells
Previous Article in Journal
Electron Correlation or Basis Set Quality: How to Obtain Converged and Accurate NMR Shieldings for the Third-Row Elements?
Previous Article in Special Issue
Phytochemical Analysis of Phenolics, Sterols, and Terpenes in Colored Wheat Grains by Liquid Chromatography with Tandem Mass Spectrometry
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Autofluorescence-Based Investigation of Spatial Distribution of Phenolic Compounds in Soybeans Using Confocal Laser Microscopy and a High-Resolution Mass Spectrometric Approach

by
Mayya P. Razgonova
1,2,
Yulia N. Zinchenko
1,2,
Darya K. Kozak
3,
Victoria A. Kuznetsova
1,3,
Alexander M. Zakharenko
4,
Sezai Ercisli
5 and
Kirill S. Golokhvast
1,2,4,*
1
Far Eastern Experimental Station, N.I. Vavilov All-Russian Institute of Plant Genetic Resources, 190000 Saint-Petersburg, Russia
2
SEC Nanotechnology, Polytechnic Institute, Far Eastern Federal University, 690922 Vladivostok, Russia
3
Laboratory of Biochemistry, Blagoveshchensk State Pedagogical University, 675000 Blagoveshchensk, Russia
4
Laboratory of Pesticide Toxicology, Siberian Federal Scientific Center of Agrobiotechnology RAS, 633501 Krasnoobsk, Russia
5
Department of Horticulture, Agricultural Faculty, Ataturk University, Erzurum 25240, Turkey
*
Author to whom correspondence should be addressed.
Molecules 2022, 27(23), 8228; https://doi.org/10.3390/molecules27238228
Submission received: 9 September 2022 / Revised: 15 November 2022 / Accepted: 22 November 2022 / Published: 25 November 2022
(This article belongs to the Special Issue Biochemical Role of Pigments in the Plant Life)

Abstract

:
In this research, we present a detailed comparative analysis of the bioactive substances of soybean varieties k-11538 (Russia), k-11559 (Russia), k-569 (China), k-5367 (China), k-5373 (China), k-5586 (Sweden), and Primorskaya-86 (Russia) using an LSM 800 confocal laser microscope and an amaZon ion trap SL mass spectrometer. Laser microscopy made it possible to clarify in detail the spatial arrangement of the polyphenolic content of soybeans. Our results revealed that the phenolics of soybean are spatially located mainly in the seed coat and the outer layer of the cotyledon. High-performance liquid chromatography (HPLC) was used in combination with an amaZon SL BRUKER DALTONIKS ion trap (tandem mass spectrometry) to identify target analytes in soybean extracts. The results of initial studies revealed the presence of 63 compounds, and 45 of the target analytes were identified as polyphenolic compounds.

1. Introduction

Glycine Willd (soybean) is an economically important member of the Fabaceae family. The center of origin of the soybean is located in East Asia [1], where it has been used as food for more than 5000 years [2]. As a well-known source of cheap concentrated protein and vegetable oil, soybean occupies a place of world importance among crops. Accounting for a 53% global production share of all oilseed crops, soybean occupies a significant place in the agricultural production systems of most major countries, such as the USA, China, Brazil, Argentina, and India [3]. In recent years, soybean production in Russia has shown stable growth due to the expansion of crop acreage. In total, Russia produced more than 3 million tons of soybeans in 2016 [4].
There has been considerable interest among researchers and consumers in the potential role of soybean and soy foods in the prevention of diseases. Clinical and scientific evidence has revealed the medicinal benefits of the components of soybean against metabolic disorders and other chronic diseases (cardiovascular diseases, diabetes, obesity, cancer, osteoporosis, menopausal syndrome, anemia, etc.) [2]. As a step toward understanding the mechanisms of the influence of the food components on health, it is important to investigate chemical compositions to reveal the active components responsible for beneficial effects. It was shown that the health benefits of soybean are due to its secondary metabolites, such as isoflavones, phytosterols, lecithins, saponins, etc. [2]. In particular, Omoni et al. (2005) pointed out that isoflavones appear to work in conjunction with proteins to protect against cancer, cardiovascular disease, and osteoporosis [5].
In addition, for various crops, a relationship between the presence of phenolic compounds and the degree of plant resistance to adverse environmental conditions has been reported. Phenolic acids are important secondary plant metabolites that function as cell wall structural components, biosynthesis intermediates, and signaling and defense molecules [6]. Flavonoids, including chalcones, flavanols, flavones, flavonols, and anthocyanins, usually accumulate in the epidermal layer of plants. They are associated defense responses to ultraviolet radiation and other abiotic and biotic stresses. Thus, flavonoid distribution in the epidermal layer is an important factor for plant survival in stressful environments and is indispensable to understand the mechanisms underlying stress response and tolerance in living plant tissues and cells [7].
Polyphenolic compounds, including phenolic acids and their derivatives, tannins, and flavonoids, represent the largest group of natural plant nutrients. They determine the color of fruits and seeds and play an important role in disease resistance [8]. In soybean, the concentrations of phenolic compounds such as flavonoids and anthocyanins correlate with seed coat color [9].
One of the most important classes of phenolics is anthocyanins, which are well known for their antioxidant activity [10]. In connection with the considerable potential of anthocyanins as components of functional nutrition, knowledge about their genetic control is in demand, as they are used in breeding programs aimed at creating new varieties of cultivated plants with an increased content of these compounds that are valuable for human health. Unfortunately, as crops are cultivated, a significant portion of their biodiversity is lost, which explains the increased research interest in the study of the biodiversity of wild forms of various crops.
New progressive research methods are becoming more widespread, such as laser microscopy, a method that exploits the ability of chemicals to fluoresce when excited by a laser and can be used to solve problems of visualization. Currently, microscopic images are successfully used to visualize the location of chemicals in organs and tissues of various plants [11,12]. However, previous autofluorescence-based microscopic studies of soybean were focused on visualization of anatomical features, such as the three-dimensional (3D) internal structure of a soybean seed [13] and the leaf anatomy of Glycine max (L.) Merr. [14].
Although the use of various microscopy methods is common in the study of soybeans, most of these approaches focus only on optical microscopy, specific staining of proteins or polysaccharides, and analysis of the signals of specific antibodies with a fluorescence label [15,16,17].
Therefore, we investigated the polyphenolic composition of soybean, in particular anthocyanins, and showed their localization in seeds based on the autofluorescence. Such a simple method as recording autofluorescence signals is significantly underestimated and can provide a sufficiently large amount of information without complex sample preparation. Despite the insufficiency of using this method without the support of deeper analysis data, such as RAMAN spectroscopy or MALDI spectrometry, in this study, we show that the method is applicable to deeper analysis of seeds in terms of classes of compounds present and that the obtained data correlate with more complex methods. Thus, the proposed method promising for obtaining preliminary data and analyzing a large number of varietal samples. The use of this approach is time- resource-, and reagent-saving and can help to increase the level of research in laboratories that do not have more complex equipment.

2. Materials and Methods

2.1. Materials

As an object of research, we used the following soybean varieties cultivated at the N.I. Vavilov All-Russian Institute of Plant Genetic Resources: k-11538 (G. soja, cultivated form OLMIK-76, Russia), k-11559 (G. soja, wild, Russia), k-569 (G. gracilis, China), k-5367 (G. gracilis, E-Shen-Dow, China), k-5373 (G. gracilis, Harbin semiwild, China), k-5586 (G. max, 856-3-3, Sweden), and Primorskaya-86 (G. max, Russia).
Seeds from the VIR collection were selected, and the maximum diversity in appearance was taken into account. Seeds were obtained from the research fields of the N. I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR) according to the developed VIR Guidelines. Because the purpose of this study was to investigate the diversity of polyphenolic compounds of soybean, the 5 most colored varieties and two control light-colored varieties were selected from the VIR collection (Figure 1).

2.2. Chemicals and Reagents

HPLC-grade acetonitrile was purchased from Fisher Scientific (Southborough, UK), and MS-grade formic acid was obtained from Sigma-Aldrich (Steinheim, Germany). Ultrapure water was prepared using a SIEMENS ULTRA clear (SIEMENS water technologies, Munich, Germany), and all other chemicals were of analytical grade. The results were obtained using the equipment of the Center for Collective Use of Scientific Equipment of the Tambov State University named after G.R. Derzhavin.

2.3. Fractional Maceration

A fractional maceration technique was applied to obtain highly concentrated extracts [18]. From 500 g of the sample, 1 g of soy seeds was randomly selected for maceration. The total amount of the extractant (reagent-grade methyl alcohol) was divided into three parts and consistently infused with the grains with the first, second, and third parts with a solid–solvent ratio of 1:20. The infusion of each part of the extractant lasted 7 days at room temperature.
After maceration, the samples were centrifuged to precipitate sediment at an acceleration of 5000× g and a temperature of 4 °C for 20 min; then, a 3 mL aliquot of the sample was filtered on syringe filters with a pore size of 0.45 μm, and the first 2 mL of filtrate was discarded for non-specific sorption on the membrane, and only the last milliliter was used for analysis. The filtered milliliter of the sample was diluted with 1 mL of deionized water.

2.4. Optical Microscopy

Dry, untreated soybean seeds were used for confocal laser scanning microscopy. The transverse dissection of seeds was performed with an MS-2 sled microtome (Tochmedpribor, Kharkiv, Ukraine). The autofluorescence parameters were determined using an inverted confocal laser scanning microscope in lambda mode (LSM 800, Carl Zeiss Microscopy GmbHAG, Jena, Germany). We carried out a lambda experiment with excitation lasers at 405, 488, 561, and 740 nm and registered emissions in the range of 400 to 700 nm with a step of 5 nm. The maxima of fluorescence were registered with the following parameters: excitation by a violet laser (405 nm) with emission in the range of 400–475 nm (blue); excitation by a blue laser (488 nm) with the emission in the range of 500–545 nm (green) and 620–700 nm (red). Images were obtained using 63× magnification and ZEN 2.1 software (Carl Zeiss Microscopy GmbH, Jena, Germany).

2.5. Liquid Chromatography

HPLC was performed using an LC-20 Prominence HPLC (Shimadzu, Kyoto, Japan) equipped with a UV sensor and a C18 silica reverse-phase column (4.6 × 150 mm, particle size: 2.7 µm) for separation of multicomponent mixtures. A gradient elution program with two mobile phases (A, deionized water; B, acetonitrile with formic acid 0.1% v/v) was performed as follows: 0–2 min, 0% B; 2–50 min, 0–100% B; control washing 50–60 min, 100% B. The entire HPLC analysis was performed with an SPD-20A UV-vis detector (Shimadzu, Japan) at wavelengths of 230 nm and 330 nm; the temperature was 50 °C, and the total flow rate was 0.25 mL min−1. The injection volume was 10 µL. Additionally, liquid chromatography was combined with a mass spectrometric ion trap to identify compounds.

2.6. Mass Spectrometry

MS analysis was performed on an amaZon SL ion trap (BRUKER DALTONIKS, Bremen, Germany) equipped with an ESI source in negative and positive ion mode. The optimized parameters were obtained as follows: ionization source temperature, 70 °C; gas flow, 9/min; nebulizer gas (atomizer), 7.3 psi; capillary voltage, 4500 V; end-plate bend voltage, 1500 V; fragmentary voltage, 280 V; collision energy, 60 eV. An ion trap was used in the scan range of m/z 100–1.700 for MS and MS/MS. All experiments were repeated three times. A four-stage ion separation mode (MS/MS mode) was implemented.

3. Results and Discussion

3.1. Optical Microscopy of Soybean Components

The observation of autofluorescence makes it possible to draw conclusions about the presence and localization of fluorescent substances in plant tissues. An increased level of fluorescence signal in individual areas reflects the main accumulation sites of certain classes of compounds. Figure 2, Figure 3, Figure 4, Figure 5, Figure 6, Figure 7 and Figure 8 show transverse sections of soybean seeds under a confocal laser microscope. Microscopic examination showed the presence of fluorescent substances in the soybean seeds.
We observed three main autofluorescence maxima: in the blue (400–475 nm), green (500–545 nm), and red (620–700 nm) regions of the spectrum. According to the literature data, the blue fluorescence in plants is mainly due to the presence of phenolic hydroxycinnamic acids [19]. The main fluorescent component is ferulic acid, but other hydroxycinnamic (e.g., p-coumaric and caffeic) acids can also contribute to fluorescence [20]. Moreover, lignin is a well-known source of blue fluorescence in plants. It has a wide emission range, owing to the presence of multiple fluorophore types within the molecule and can be observed when excited by UV and visible light [21]. Previous studies have shown that the lignin content of legume seed coat is low [22,23] and that the cotyledons are poorly lignified [24]. Therefore, we concluded that most of the blue fluorescence in soybean seeds comes from hydroxycinnamic acids.
The blue-light-induced green autofluorescence in the range of 500–545 nm can be explained by the presence of flavins and flavonols (myricetin, quercetin, and kaempferol) and their derivatives [7,25,26]. The emission in the red spectrum mainly occurs due to the presence of anthocyanins and anthocyanidins [27,28].
We studied the seeds of three different soybean species (G. soja in cultivated and wild forms, as well as G. gracilis and G. max) and found that the spatial distribution of fluorescent substances has features that correlate with the color of the seeds.
In general, our study showed the maximum of blue fluorescence, which reflects the content of hydroxycinnamic acids, in the outer cotyledon layer. A weaker signal was observed in the rest of the cotyledon parenchyma cells. In the seed coat of the dark-colored seeds, the signal was almost absent. On the contrary, the light-colored seeds (yellow) showed a solid blue signal (Figure 7a and Figure 8a). Similar results were obtained in the other studies on the chemical composition of legume seeds. It was reported that coumaric and ferulic acids are dominant phenolic acids in the white seed coat of pea, as compared with colored seed coats [29].
Green fluorescence is most pronounced in the outer layer of the cotyledon. The signal is also present in the seed coat but it is usually weaker than that in the outer layer. The brightest green fluorescence of the palisade layer of the seed coat is observed in yellow seeds. This fluorescence is the most expressed among all investigated varieties and comparable to that of the outer cotyledon layer (Figure 7b and Figure 8b).
The level of the red fluorescence signal correlates well with the color of the seeds. Microscopic examination showed that the palisade layer of black-seeded varieties has the brightest red fluorescence, whereas yellow-seeded varieties have the weakest red fluorescence. The brown-seeded variety demonstrated red fluorescence in the form of scattered inclusions (Figure 5c). It was previously reported that the black color of the seed coat in legumes is the result of a large amount of anthocyanins [30]. This confirms that bright red fluorescence is caused by such chemicals.
Our result show that various phenolic substances are responsible for autofluorescence in soybean. The total fluorescence signal is maximal in the seed coat of all varieties. Our results are consistent with numerous publications indicating that the total concentration of phenolic compounds is always much higher in the seed coat than in the cotyledons of legumes [31,32]. The accumulation of phenolics mainly in the outer layers of the seed may be associated with their protective function during seed development, as well as their protective function against detrimental agents in the environment [33].

3.2. Tandem Mass Spectrometric Analysis

The most-consumed extracts of soybeans were analyzed by HPLC-MS/MS ion trap to better interpret the diversity of available phytochemicals. All of the examined extracts have a rich bioactive composition. Each compound was structurally identified on the basis of their accurate mass and MS/MS fragmentation by HPLC-ESI ion trap MS/MS. Sixty-three biologically active compound were successfully identified and characterized by comparing fragmentation patterns and retention times. Other compounds were identified by comparing their MS/MS data with available literature data. All identified compounds, along with molecular formulae, calculated and observed m/z, MS/MS data, and their comparative profile for soybeans (seven varieties), are summarized in Table 1.
In the present study, 45 polyphenolic compounds were identified and characterized, including 17 flavones, 10 flavonols, 3 flavan-3-ols, 1 flavanone, 3 anthocyanidins, 3 condensed tannins, 5 phenolic acids, 1 lignan, 1 stilbene, and 1 hydroxycoumarin. Additionally, 18 compounds of other classes were identified in soybeans, with some identified for the first time, for example, steroidal alkaloids Alpha-chaconine and solanidadiene solatriose. Table 2 lists the identified polyphenolic compounds in seven varieties of soybeans. In our research, the richest polyphenolic content was observed in the Chinese variety k-5373 (Harbin semiwild). In this variety, 30 polyphenolic compounds were identified during primary studies. The Russian variety k-11538 (OLMIK-76) is in second place in terms of the richness of compounds, with 23 compounds identified.
Figure 9 and Figure 10 show examples of the decoding spectra (collision-induced dissociation (CID) spectrum) of the ion chromatogram obtained using tandem mass spectrometry. The mass spectrum in positive ion mode of Cyanidin 3-O-glucoside from extracts of soyabean k-5373 (China, Harbin semi-wild) is shown in Figure 9. The [M + H]+ ion produced one fragment ion at m/z 287. The fragment ion with m/z 287 yielded two daughter ions at m/z 213 and m/z 137. This compound was identified in the bibliography as cyanidin 3-O-glucoside in extracts from Clidemia rubra [82], Triticum [40,101], acerola [60], rice [65], Disterigma [43], Vigna sinensis [102], Vitis labrusca [103], and rapeseed petals [71].
The mass spectrum in positive ion mode of proanthocyanidin B1 from extracts from extracts of soyabean k-5373 (China, Harbin semi-wild) is shown in Figure 10. The [M + H]+ ion produced five fragment ions at m/z 409, m/z 343, m/z 291, m/z 247, and m/z 205. The fragment ion with m/z 409 yielded four daughter ions at m/z 287, m/z 259, m/z 203, and m/z 163. The fragment ion with m/z 287 yielded two daughter ions at m/z 245 and m/z 203. To the best of our knowledge, proanthocyanidin B1 has been reported in millet grains [41], pear [108], Vaccinium macrocarpon [73], Andean blueberry [43], strawberry [74], Vigna inguiculata [49], Senna singueana [109], Camellia kucha [37], grape juice [107], vinery products [52], etc.

4. Conclusions

The results of a preliminary study showed the presence of 63 compounds corresponding to the Glycine Willd genus (soybean), some of which were identified for the first time in Glycine. The extracts of soybean k-5373 (China, Harbin semi-wild) contain the most polyphenolic complexes, which are biologically active compounds. Laser microscopy made it possible to clarify in detail the spatial arrangement of the polyphenolic content of soybeans. Results showed that phenolics of soybean are spatially located mainly in the seed coat and the outer layer of the cotyledon. Anthocyanins are especially abundant in the palisade layer of dark-colored varieties. The seed coat of yellow-seeded varieties contains more phenolic acids and flavonols than the seed coat of dark-seeded varieties. This information can be useful for rapid evaluation of varieties for selection and breeding with respect to those compounds.

Author Contributions

M.P.R., S.E. and K.S.G. conceived the idea. Y.N.Z. analyzed the data and wrote the manuscript. M.P.R., D.K.K., V.A.K., A.M.Z., S.E. and K.S.G. participated in the literature search and data analysis and provided technical guidance. M.P.R. and K.S.G. supervised the work and edited the final version of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was carried out with financial support of the N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR), Project No. 0662-2019-0006 “Search for and Viability Maintenance, and Disclosing the Potential of Hereditary Variation in the Global Collection of Cereal and Groat Crops at VIR for the Development of an Optimized Genebank and Its Sustainable Utilization in Plant Breeding and Crop Production.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Hymowitz, T. On the domestication of the soybean. Econ. Bot. 1970, 24, 408–421. [Google Scholar] [CrossRef]
  2. Dixit, A.K.; Antony, J.; Sharma, N.K.; Tiwari, R.K. 12. Soybean constituents and their functional benefits. Res. Singpost 2011, 37, 661. [Google Scholar]
  3. Pratap, A.; Gupta, S.K.; Kumar, J.; Solanki, R. Soybean. In Technological Innovations in Major World Oil Crops; Springer: New York, NY, USA, 2012; Volume 1. [Google Scholar]
  4. Sinegovskii, M.; Yuan, S.; Sinegovskaya, V.; Han, T. Current status of the soybean industry and research in the Russian Federation. Soybean Sci. 2018, 37, 1–7. (In Russian) [Google Scholar]
  5. Omoni, A.O.; Aluko, R.E. Soybean foods and their benefits: Potential mechanisms of action. Nutr. Rev. 2005, 63, 272–283. [Google Scholar] [CrossRef] [PubMed]
  6. Awika, J.M.; Duodu, K.G. Bioactive polyphenols and peptides in cowpea (Vigna unguiculata) and their health promoting properties: A review. J. Func. Foods 2017, 38, 686–697. [Google Scholar] [CrossRef]
  7. Sudo, E.; Teranishi, M.; Hidema, J.; Taniuchi, T. Visualization of flavonol distribution in the abaxial epidermis of onion scales via detection of its autofluorescence in the absence of chemical processes. Biosci. Biotechnol. Biochem. 2009, 73, 2107–2109. [Google Scholar] [CrossRef]
  8. Salunkhe, D.K.; Jadhav, S.J.; Kadam, S.S.; Chavan, J.K. Chemical, biochemical, and biological significance of polyphenols in cereals and legumes. Crit. Rev. Food Sci. Nutr. 1982, 17, 277–305. [Google Scholar] [CrossRef]
  9. Benitez, E.R.; Funatsuki, H.; Kaneko, Y.; Matsuzawa, Y.; Bang, S.W.; Takahashi, R. Soybean maturity gene effects on seed coat pigmentation and cracking in response to low temperatures. Crop Sci. 2004, 44, 2038–2042. [Google Scholar] [CrossRef]
  10. Zhang, R.F.; Zhang, F.X.; Zhang, M.W.; Wei, Z.C.; Yang, C.Y.; Zhang, Y.; Tang, X.J.; Deng, Y.Y.; Chi, J.W. Phenolic composition and antioxidant activity in seed coats of 60 Chinese black soybean (Glycine max L. Merr.) varieties. J. Agric. Food Chem. 2011, 59, 5935–5944. [Google Scholar] [CrossRef]
  11. Hutzler, P.; Fischbach, R.; Heller, W.; Jungblut, T.P.; Reuber, S.; Schmitz, R.; Veit, M.; Weissenböck, G.; Schnitzler, J.-P. Tissue localization of phenolic compounds in plants by confocal laser scanning microscopy. J. Exp. Bot. 1998, 49, 953–965. [Google Scholar] [CrossRef]
  12. Razgonova, M.; Zinchenko, Y.; Pikula, K.; Tekutyeva, L.; Son, O.; Zakharenko, A.; Kalenik, T.; Golokhvast, K. Spatial Distribution of Polyphenolic Compounds in Corn Grains (Zea mays L. var. Pioneer) Studied by Laser Confocal Microscopy and High-Resolution Mass Spectrometry. Plants 2022, 11, 630. [Google Scholar] [CrossRef]
  13. Ogawa, Y.; Miyashita, K.; Shimizu, H.; Sugiyama, J. Three-dimensional internal structure of a soybean seed by observation of autofluorescence of sequential sections. J. Jpn. Soc. Food Sci. Technol. 2003, 50, 213–217. [Google Scholar] [CrossRef]
  14. Pegg, T.J.; Gladish, D.K.; Baker, R.L. Algae to angiosperms: Autofluorescence for rapid visualization of plant anatomy among diverse taxa. Appl. Plant Sci. 2021, 9, e11437. [Google Scholar] [CrossRef]
  15. Slattery, R.A.; Grennan, A.K.; Sivaguru, M.; Sozzani, R.; Ort, D.R. Light sheet microscopy reveals more gradual light attenuation in light-green versus dark-green soybean leaves. J. Exp. Bot. 2016, 67, 4697–4709. [Google Scholar] [CrossRef] [Green Version]
  16. Wang, Z.; Amirkhani, M.; Avelar, S.A.G.; Yang, D.; Taylor, A.G. Systemic Uptake of Fluorescent Tracers by Soybean (Glycine max (L.) Merr.) Seed and Seedlings. Agriculture 2020, 10, 248. [Google Scholar] [CrossRef]
  17. Krishnan, H.B.; Jurkevich, A. Confocal Fluorescence Microscopy Investigation for the Existence of Subdomains within Protein Storage Vacuoles in Soybean Cotyledons. Int. J. Mol. Sci. 2022, 23, 3664. [Google Scholar] [CrossRef]
  18. Azmir, J.; Zaidul, I.S.M.; Rahman, M.M.; Sharif, K.M.; Mohamed, A.; Sahena, F.; Jahurul, M.H.A.; Ghafoor, K.; Norulaini, N.A.N.; Omar, A.K.M. Techniques for extraction of bioactive compounds from plant materials: A review. J. Food Eng. 2013, 117, 426–436. [Google Scholar] [CrossRef]
  19. Corcel, M.; Devaux, M.-F.; Guillon, F.; Barron, C. Identification of tissular origin of particles based on autofluorescence multispectral image analysis at the macroscopic scale. In Proceedings of the EPJ Web of Conferences, Crete, Greece, 17–29 August 2017; p. 05012. [Google Scholar]
  20. Lichtenthaler, H.K.; Schweiger, J. Cell wall bound ferulic acid, the major substance of the blue-green fluorescence emission of plants. J. Plant Physiol. 1998, 152, 272–282. [Google Scholar] [CrossRef]
  21. Donaldson, L. Softwood and hardwood lignin fluorescence spectra of wood cell walls in different mounting media. IAWA J. 2013, 34, 3–19. [Google Scholar] [CrossRef]
  22. Brillouet, J.M.; Riochet, D. Cell wall polysaccharides and lignin in cotyledons and hulls of seeds from various lupin (Lupinus L.) species. J. Sci. Food Agric. 1983, 34, 861–868. [Google Scholar] [CrossRef]
  23. Krzyzanowski, F.C.; Franca Neto, J.D.B.; Mandarino, J.M.G.; Kaster, M. Evaluation of lignin content of soybean seed coat stored in a controlled environment. Rev. Bras. De Sementes 2008, 30, 220–223. [Google Scholar] [CrossRef]
  24. Brillouet, J.M.; Carré, B. Composition of cell walls from cotyledons of Pisum sativum, Vicia faba and Glycine max. Phytochemistry 1983, 22, 841–847. [Google Scholar] [CrossRef]
  25. Monago-Maraña, O.; Durán-Merás, I.; Galeano-Díaz, T.; de la Peña, A.M. Fluorescence properties of flavonoid compounds. Quantification in paprika samples using spectrofluorimetry coupled to second order chemometric tools. Food Chem. 2016, 196, 1058–1065. [Google Scholar] [CrossRef]
  26. Roshchina, V.V.; Kuchin, A.V.; Yashin, V.A. Application of Autofluorescence for Analysis of Medicinal Plants. Spectrosc. Int. J. 2017, 2017, 7159609. [Google Scholar] [CrossRef] [Green Version]
  27. Talamond, P.; Verdeil, J.-L.; Conéjéro, G. Secondary metabolite localization by autofluorescence in living plant cells. Molecules 2015, 20, 5024–5037. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Collings, D.A. Anthocyanin in the vacuole of red onion epidermal cells quenches other fluorescent molecules. Plants 2019, 8, 596. [Google Scholar] [CrossRef] [Green Version]
  29. Troszynska, A.; Ciska, E. Phenolic compounds of seed coats of white and coloured varieties of pea (Pisumsativum L.) and their total antioxidant activity. Czech J. Food Sci. 2002, 20, 15–22. [Google Scholar] [CrossRef] [Green Version]
  30. Jo, H.; Lee, J.Y.; Cho, H.; Choi, H.J.; Son, C.K.; Bae, J.S.; Bilyeu, K.; Song, J.T.; Lee, J.D. Genetic diversity of soybeans (Glycine max (L.) merr.) with black seed coats and green cotyledons in Korean germplasm. Agronomy 2021, 11, 581. [Google Scholar] [CrossRef]
  31. Moïse, J.A.; Han, S.; Gudynaitę-Savitch, L.; Johnson, D.A.; Miki, B.L. Seed coats: Structure, development, composition, and biotechnology. Vitr. Cell. Dev. Biol. Plant 2005, 41, 620–644. [Google Scholar] [CrossRef]
  32. Jeng, T.L.; Shih, Y.J.; Wu, M.T.; Sung, J.M. Comparisons of flavonoids and anti-oxidative activities in seed coat, embryonic axis and cotyledon of black soybeans. Food Chem. 2010, 123, 1112–1116. [Google Scholar] [CrossRef]
  33. Tsamo, A.T.; Mohammed, H.; Mohammed, M.; Papoh Ndibewu, P.; Dapare Dakora, F. Seed coat metabolite profiling of cowpea (Vigna unguiculata L. Walp.) accessions from Ghana using UPLC-PDA-QTOF-MS and chemometrics. Nat. Prod. Res. 2020, 34, 1158–1162. [Google Scholar] [CrossRef]
  34. Rodriguez-Perez, C.; Gomez-Caravaca, A.M.; Guerra-Hernandez, E.; Cerretani, L.; Garcia-Villanova, B.; Verardo, V. Comprehensive metabolite profiling of Solanum tuberosum L. (potato) leaves T by HPLC-ESI-QTOF-MS. Food Res. Int. 2018, 112, 390–399. [Google Scholar] [CrossRef]
  35. Perchuk, I.; Shelenga, T.; Gurkina, M.; Miroshnichenko, E.; Burlyaeva, M. Composition of Primary and Secondary Metabolite Compounds in Seeds and Pods of Asparagus Bean (Vigna unguiculata (L.) Walp.) from China. Molecules 2020, 25, 3778. [Google Scholar] [CrossRef]
  36. Cai, Z.; Wang, C.; Zou, L.; Liu, X.; Chen, J.; Tan, M.; Mei, Y.; Wei, L. Comparison of Multiple Bioactive Constituents in the Flower and the Caulis of Lonicera japonica Based on UFLC-QTRAP-MS/MS Combined with Multivariate Statistical Analysis. Molecules 2019, 24, 1936. [Google Scholar] [CrossRef] [Green Version]
  37. Qin, D.; Wang, Q.; Li, H.; Jiang, X.; Fang, K.; Wang, Q.; Li, B.; Pan, C.; Wu, H. Identification of key metabolites based on non-targeted metabolomics and chemometrics analyses provides insights into bitterness in Kucha [Camellia kucha (Chang et Wang) Chang]. Food Res. Int. 2020, 138, 109789. [Google Scholar] [CrossRef]
  38. Oertel, A.; Matros, A.; Hartmann, A.; Arapitsas, P.; Dehmer, K.J.; Martens, S.; Mock, H.P. Metabolite profiling of red and blue potatoes revealed cultivar and tissue specific patterns for anthocyanins and other polyphenols. Planta 2017, 246, 281–297. [Google Scholar] [CrossRef]
  39. Deuber, H.; Guignard, C.; Hoffmann, L.; Evers, D. Polyphenol and glycoalkaloid contents in potato cultivars grown in Luxembourg. Food Chem. 2012, 135, 2814–2824. [Google Scholar]
  40. Sharma, M.; Sandhir, R.; Singh, A.; Kumar, P.; Mishra, A.; Jachak, S.; Singh, S.P.; Singh, J.; Roy, J. Comparison analysis of phenolic compound characterization and their biosynthesis genes between two diverse bread wheat (Triticum aestivum) varieties differing for chapatti (unleavened flat bread) quality. Front. Plant. Sci. 2016, 7, 1870. [Google Scholar] [CrossRef] [Green Version]
  41. Chandrasekara, A.; Shahidi, F. Determination of antioxidant activity in free and hydrolyzed fractions of millet grains and characterization of their phenolic profiles by HPLC-DAD-ESI-MSn. J. Funct. Foods 2011, 3, 144–158. [Google Scholar] [CrossRef]
  42. Papazian, S.; Parrot, D.; Buryskova, F.; Tasdemir, D. Surface chemical defence of the eelgrass Zostera marina against microbial foulers. Sci. Rep. 2019, 9, 3323. [Google Scholar] [CrossRef] [Green Version]
  43. Aita, S.E.; Capriotti, A.L.; Cavaliere, C.; Cerrato, A.; Giannelli Moneta, B.; Montone, C.M.; Piovesana, S.; Laganà, A. Andean Blueberry of the Genus Disterigma: A High-Resolution Mass Spectrometric Approach for the Comprehensive Characterization of Phenolic Compounds. Separations 2021, 8, 58. [Google Scholar] [CrossRef]
  44. Vallverdu-Queralt, A.; Jauregui, O.; Medina-Remon, A.; Lamuela-Raventos, R.M. Evaluation of a Method to Characterize the Phenolic Profile of Organic and Conventional Tomatoes. Agricult. Food Chem. 2012, 60, 3373–3380. [Google Scholar] [CrossRef] [PubMed]
  45. Huang, Y.; Yao, P.; Leung, K.; Wang, H.; Kong, X.P.; Wang, L.; Dong, T.T.; Chen, Y.; Tsim, K.W.K. The Yin-Yang Property of Chinese Medicinal Herbs Relates to Chemical Composition but Not Anti-Oxidative Activity: An Illustration Using Spleen-Meridian Herbs. Front. Pharmacol. 2018, 9, 1304. [Google Scholar] [CrossRef] [PubMed]
  46. El-Sayed, M.A.; Abbas, F.A.; Refaat, S.; El-Shafae, A.M.; Fikry, E. UPLC-ESI-MS/MS Profile of The Ethyl Acetate Fraction of Aerial Parts of Bougainvillea ‘Scarlett O’Hara’ Cultivated in Egypt. Egypt J. Chem. 2021, 64, 22. [Google Scholar] [CrossRef]
  47. Zhou, X.J.; Yan, L.L.; Yin, P.P.; Shi, L.L.; Zhang, J.H.; Liu, Y.J.; Ma, C. Structural characterisation and antioxidant activity evaluation of phenolic compounds from cold-pressed Perilla frutescens var. arguta seed flour. Food Chem. 2014, 164, 150–157. [Google Scholar] [CrossRef] [PubMed]
  48. Ozarowski, M.; Piasecka, A.; Paszel-Jaworska, A.; de Chaves, D.S.A.; Romaniuk, A.; Rybczynska, M.; Gryszczynska, A.; Sawikowska, A.; Kachlicki, P.; Mikolajczak, P.L.; et al. Comparison of bioactive compounds content in leaf extracts of Passiflora incarnata, P. caerulea and P. alata and in vitro cytotoxic potential on leukemia cell lines. Braz. J. Pharmacol. 2018, 28, 179–191. [Google Scholar] [CrossRef]
  49. Ojwang, L.O.; Yang, L.; Dykes, L.; Awika, J. Proanthocyanidin profile of cowpea (Vigna unguiculata) reveals catechin-O- glucoside as the dominant compound. Food Chem. 2013, 139, 35–43. [Google Scholar] [CrossRef]
  50. Vijayan, K.P.R.; Raghu, A.V. Tentative characterization of phenolic compounds in three species of the genus Embelia by liquid chromatography coupled with mass spectrometry analysis. Spectrosc. Lett. 2019, 52, 653–670. [Google Scholar] [CrossRef]
  51. Sun, J.; Liang, F.; Bin, Y.; Li, P.; Duan, C. Screening Non-colored Phenolics in Red Wines using Liquid Chromatography/Ultraviolet and Mass Spectrometry/Mass Spectrometry Libraries. Molecules 2007, 12, 679–693. [Google Scholar] [CrossRef] [Green Version]
  52. Fuchs, C.; Bakuradze, T.; Steinke, R.; Grewal, R.; Eckert, G.P.; Richling, E. Polyphenolic composition of extracts from winery by-products and effects on cellular cytotoxicity and mitochondrial functions in HepG2 cells. J. Funct. Foods. 2020, 70, 103988. [Google Scholar] [CrossRef]
  53. Hamed, A.R.; El-Hawary, S.S.; Ibrahim, R.M.; Abdelmohsen, U.R.; El-Halawany, A.M. dentification of Chemopreventive Components from Halophytes Belonging to Aizoaceae and Cactaceae Through LC/MS–Bioassay Guided Approach. J. Chrom. Sci. 2021, 59, 618–626. [Google Scholar] [CrossRef] [PubMed]
  54. Zhu, Z.W.; Li, J.; Gao, X.M.; Amponsem, E.; Kang, L.Y.; Hu, L.M.; Zhang, B.L.; Chang, Y.X. Simultaneous determination of stilbenes, phenolic acids, flavonoids and anthraquinones in Radix polygoni multiflori by LC-MS/MS. J. Pharm. Biomed. Anal. 2012, 62, 162–166. [Google Scholar] [CrossRef] [PubMed]
  55. Chen, X.; Zhu, P.; Liu, B.; Wei, L.; Xu, Y. Simultaneous determination of fourteen compounds of Hedyotis diffusa Willd extract in rats by UHPLC-MS/MS method: Application to pharmacokinetics and tissue distribution study. J. Pharm. Biomed. Anal. 2018, 159, 490–512. [Google Scholar] [CrossRef] [PubMed]
  56. Hanganu, D.; Vlase, L.; Olah, N. Lc/MS analysis of isoflavones from Fabaceae species extracts. Farmacia 2010, 58, 177–183. [Google Scholar]
  57. Yin, Y.; Zhang, K.; Wei, L.; Chen, D.; Chen, Q.; Jiao, M.; Li, X.; Huang, J.; Gong, Z.; Kang, N.; et al. The Molecular Mechanism of Antioxidation of Huolisu Oral Liquid Based on Serum Analysis and Network Analysis. Front. Pharmacol. 2021, 12, 710976. [Google Scholar] [CrossRef]
  58. Wojakowska, A.; Piasecka, A.; García-López, P.M.; Zamora-Natera, F.; Krajewski, P.; Marczak, Ł.; Kachlicki, P.; Stobiecki, M. Structural analysis and profiling of phenolic secondary metabolites of Mexican lupine species using LC-MS techniques. Phytochemistry 2013, 92, 71–86. [Google Scholar] [CrossRef]
  59. Teles, Y.C.E.; Rebello Horta, C.C.; de Fatima Agra, M.; Siheri, W.; Boyd, M.; Igoli, J.O.; Gray, A.I.; de Fatima Vanderlei de Souza, M. New Sulphated Flavonoids from Wissadula periplocifolia (L.) C. Presl (Malvaceae). Molecules 2015, 20, 20161–20172. [Google Scholar] [CrossRef] [Green Version]
  60. Vera de Rosso, V.; Hillebrand, S.; Cuevas Montilla, E.; Bobbio, F.O.; Winterhalter, P.; Mercadante, A.Z. Determination of anthocyanins from acerola (Malpighia emarginata DC.) and ac-ai (Euterpe oleracea Mart.) by HPLC–PDA–MS/MS. J. Food Compos. Anal. 2008, 21, 291–299. [Google Scholar] [CrossRef]
  61. Marcia Fuentes, J.A.; Lopez-Salas, L.; Borras-Linares, I.; Navarro-Alarcon, M.; Segura-Carretero, A.; Lozano-Sanchez, J. Development of an Innovative Pressurized Liquid Extraction Procedure by Response Surface Methodology to Recover Bioactive Compounds from Carao Tree Seeds. Foods 2021, 10, 398. [Google Scholar] [CrossRef]
  62. Thomford, N.E.; Dzobo, K.; Chopera, D.; Wonkam, A.; Maroyi, A.; Blackhurst, D.; Dandara, C. In vitro reversible and time-dependent CYP450 inhibition profiles of medicinal herbal plant extracts Newbouldia laevis and Cassia abbreviata: Implications for herb-drug interactions. Molecules 2016, 21, 891. [Google Scholar] [CrossRef] [Green Version]
  63. Yang, D.; Du, X.; Liang, X.; Han, R.; Liang, Z.; Liu, Y.; Liu, F.; Zhao, J. Different roles of the mevalonate and methylerythritol phosphate pathways in cell growth and tanshinone production of Salvia miltiorrhiza hairy roots. PLoS ONE 2012, 7, e46797. [Google Scholar] [CrossRef]
  64. Abu-Reidah, I.M.; Ali-Shtayeh, M.S.; Jamous, R.M.; Arráez-Román, D.; Segura-Carretero, A. HPLC-DAD-ESI-MS/MS screening of bioactive components from Rhus coriaria L. (Sumac) fruits. Food Chem. 2015, 166, 179–191. [Google Scholar] [CrossRef] [Green Version]
  65. Chen, W.; Gong, L.; Guo, Z.; Wang, W.; Zhang, H.; Liu, X.; Yu, S.; Xiong, L.; Luo, J. A novel integrated method for large-scale detection, identification, and quantification of widely targeted metabolites: Application in the study of rice metabolomics. Mol. Plant. 2013, 6, 1769–1780. [Google Scholar] [CrossRef] [Green Version]
  66. Ekeberg, D.; Flate, P.-O.; Eikenes, M.; Fongen, M.; Naess-Andresen, C.F. Qualitative and quantitative determination of extractives in heartwood of Scots pine (Pinus sylvestris L.) by gas chromatography. J. Chromatogr. A 2006, 1109, 267–272. [Google Scholar] [CrossRef]
  67. Kim, S.; Oh, S.; Noh, H.B.; Ji, S.; Lee, S.H.; Koo, J.M.; Choi, C.W.; Jhun, H.P. In Vitro Antioxidant and Anti-Propionibacterium acnes Activities of Cold Water, Hot Water, and Methanol Extracts, and Their Respective Ethyl Acetate Fractions, from Sanguisorba officinalis L. Roots. Molecules 2018, 23, 3001. [Google Scholar] [CrossRef] [Green Version]
  68. Xu, L.L.; Xu, J.J.; Zhong, K.R.; Shang, Z.P.; Wang, F.; Wang, R.F.; Zhang, L.; Zhang, J.Y.; Liu, B. Analysis of Non-Volatile Chemical Constituents of Menthae Haplocalycis Herba by Ultra-High Performance Liquid Chromatography-High Resolution Mass Spectrometry. Molecules 2017, 22, 1756. [Google Scholar] [CrossRef] [Green Version]
  69. Cirlini, M.; Mena, P.; Tassotti, M.; Herrlinger, K.A.; Nieman, K.M.; Dall’Asta, C.; Del Rio, D. Phenolic and Volatile Composition of a Dry Spearmint (Mentha spicata L.) Extract. Molecules 2016, 21, 1007. [Google Scholar] [CrossRef] [Green Version]
  70. Olennikov, D.O.; Chirikova, N.K.; Okhlopkova, Z.M.; Zulfugarov, I.S. Chemical Composition and Antioxidant Activity of Tánara Ótó (Dracocephalum palmatum Stephan), a Medicinal Plant Used by the North-Yakutian Nomads. Molecules 2013, 18, 14106. [Google Scholar] [CrossRef] [Green Version]
  71. Yin, N.W.; Wang, S.X.; Jia, L.D.; Zhu, M.C.; Yang, J.; Zhou, B.J.; Yin, J.M.; Lu, K.; Wang, R.; Li, J.N.; et al. Identification and Characterization of Major Constituents in Different-Colored Rapeseed Petals by UPLC-HESI-MS/MS. J. Agric. Food Chem. 2019, 67, 11053–11065. [Google Scholar] [CrossRef]
  72. Santos, S.A.O.; Vilela, C.; Freire, C.S.R.; Neto, C.P.; Silvestre, A.J.D. Ultra-high performance liquid chromatography coupled to mass spectrometry applied to the identification of valuable phenolic compounds from Eucalyptus wood. J. Chromatogr. B 2013, 938, 65–74. [Google Scholar] [CrossRef]
  73. Abeywickrama, G.; Debnath, S.C.; Ambigaipalan, P.; Shahidi, F. Phenolics of Selected Cranberry Genotypes (Vaccinium macrocarpon Ait.) and Their Antioxidant Efficacy. J. Agric. Food Chem. 2016, 64, 9342–9351. [Google Scholar] [CrossRef] [PubMed]
  74. Sun, J.; Liu, X.; Yang, T.; Slovin, J.; Chen, P. Profiling polyphenols of two diploid strawberry (Fragaria vesca) inbred lines using UHPLC-HRMSn. Food Chem. 2014, 146, 289–298. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Paudel, L.; Wyzgoski, F.J.; Scheerens, J.C.; Chanon, A.M.; Reese, R.N.; Smiljanic, D.; Wesdemiotis, C.; Blakeslee, J.J.; Riedl, K.M.; Rinaldi, P.L. Nonanthocyanin secondary metabolites of black raspberry (Rubus occidentalis L.) fruits: Identification by HPLC-DAD, NMR, HPLC-ESI-MS, and ESI-MS/MS analyses. J. Agr. Food Chem. 2013, 61, 12032–12043. [Google Scholar] [CrossRef] [PubMed]
  76. Mateos-Martin, M.L.; Fuguet, E.; Jimenes-Ardon, A.; Herrero-Urbe, L.; Tamayo-Castillo, G.; Lluis Torres, J. Identification of polyphenols from antiviral Chamaecrista nictitans extract using high-resolution LC–ESI–MS/MS. Anal. Bioanal. Chem. 2014, 406, 5501–5506. [Google Scholar] [CrossRef] [PubMed]
  77. Mena, P.; Calani, L.; Dall’Asta, C.; Galaverna, G.; Garcia-Viguera, C.; Bruni, R.; Crozier, A.; Del Rio, D. Rapid and Comprehensive Evaluation of (Poly)phenolic Compounds in Pomegranate (Punica granatum L.) Juice by UHPLC-MSn. Molecules 2012, 17, 14821–14840. [Google Scholar] [CrossRef] [Green Version]
  78. Leveques, A.; Actis-Goretta, L.; Rein, M.J.; Williamson, G.; Dionisi, F.; Giuffrida, F. UPLC–MS/MS quantification of total hesperetin and hesperetin enantiomers in biological matrices. J. Pharmaceut. Biomed. Anal. 2012, 57, 1–6. [Google Scholar] [CrossRef]
  79. Bodalska, A.; Kowalczyk, A.; Włodarczyk, M.; Fecka, I. Analysis of Polyphenolic Composition of a Herbal Medicinal Product-Peppermint Tincture. Molecules 2019, 25, 69. [Google Scholar] [CrossRef] [Green Version]
  80. Fathoni, A.; Saepudin, E.; Cahyana, A.H.; Rahayu, D.U.C.; Haib, J. Identification of Nonvolatile Compounds in Clove (Syzygium aromaticum) from Manado. In AIP Conference Proceedings; AIP Publishing LLC: Melville, NY, USA, 2016. [Google Scholar] [CrossRef] [Green Version]
  81. Navarro, M.; Arnaez, E.; Moreira, I.; Quesada, S.; Azofeifa, G.; Wilhelm, K.; Vargas, F.; Chen, P. Polyphenolic Characterization, Antioxidant, and Cytotoxic Activities of Mangifera indica Cultivars from Costa Rica. Foods 2019, 8, 384. [Google Scholar] [CrossRef] [Green Version]
  82. Gordon, A.; Schadow, B.; Quijano, C.E.; Marx, F. Chemical characterization and antioxidant capacity of berries from Clidemia rubra (Aubl.) Mart. (Melastomataceae). Food Res. Int. 2011, 44, 2120–2127. [Google Scholar] [CrossRef]
  83. Thomas, M.C.; Dunn, S.R.; Altvater, J.; Dove, S.G.; Nette, G.W. Rapid Identification of Long-Chain Polyunsaturated Fatty Acids in a Marine Extract by HPLC-MS Using Data-Dependent Acquisition. Analyt. Chem. 2012, 84, 5976–5983. [Google Scholar] [CrossRef]
  84. Marzouk, M.M.; Hussein, S.R.; Elkhateeb, A.; El-shabrawy, M.; Abdel-Hameed, E.-S.S.; Kawashty, S.A. Comparative study of Mentha species growing wild in Egypt: LC-ESI-MS analysis and chemosystematic significance. J. Appl. Pharm. Sci. 2018, 8, 116–122. [Google Scholar]
  85. Pandey, B.P.; Pradhan, S.P.; Adhikari, K. LC-ESI-QTOF-MS for the Profiling of the Metabolites and in Vitro Enzymes Inhibition Activity of Bryophyllum pinnatum and Oxalis corniculate Collected from Ramechhap District of Nepal. Chem. Biodivers. 2020, 17, e2000155. [Google Scholar]
  86. Razgonova, M.; Zakharenko, A.; Pikula, K.; Manakov, Y.; Ercisli, S.; Derbush, I.; Kislin, E.; Seryodkin, I.; Sabitov, A.; Kalenik, T.; et al. LC-MS/MS Screening of Phenolic Compounds in Wild and Cultivated Grapes Vitis amurensis Rupr. Molecules 2021, 26, 360. [Google Scholar] [CrossRef]
  87. Zakharenko, A.M.; Razgonova, M.P.; Pikula, K.S.; Golokhvast, K.S. Simultaneous determination of 78 compounds of Rhodiola rosea extract using supercritical CO2-extraction and HPLC-ESI-MS/MS spectrometry. HINDAWY. Biochem. Res. Int. 2021, 2021, 9957490. [Google Scholar] [CrossRef]
  88. Bonzanini, F.; Bruni, R.; Palla., G.; Serlataite., N.; Caligiani, A. Identification and Distribution of Lignans in Punica granatum L. Fruit Endocarp, Pulp, Seeds, Wood Knots and Commercial Juices by GC–MS. Food Chem. 2009, 117, 745–749. [Google Scholar] [CrossRef]
  89. Eklund, P.C.; Backman, M.J.; Kronberg, L.A.; Smeds, A.I.; Sjoholm, R.E. Identification of lignans by liquid chromatography-electrospray ionization ion-trap mass spectrometry. J. Mass Spectrom. 2008, 43, 97–107. [Google Scholar] [CrossRef]
  90. Suarez Montenegro, Z.J.; Alvarez-Rivera, G.; Mendiola, J.A.; Ibanez, E.; Cifuentes, A. Extraction and Mass Spectrometric Characterization of Terpenes Recovered from Olive Leaves Using a New Adsorbent-Assisted Supercritical CO2 Process. Foods 2021, 10, 1301. [Google Scholar] [CrossRef]
  91. Bakir, D.; Akdeniz, M.; Ertas, A.; Yilmaz, M.A.; Yener, I.; First, M.; Kolak, U. A GC-MS method validation for quantitative investigation of some chemical markers in Salvia hypargeia Fisch. & C.A. Mey. of Turkey: Enzyme inhibitory potential of ferruginol. J. Food Biochem. 2020, 44, e13350. [Google Scholar] [CrossRef]
  92. Li, W.-H.; Chang, S.-T.; Chang, S.-C.; Chang, H.-T. Isolation of antibacterial diterpenoids from Cryptomeria japonica bark. Nat. Prod. Res. 2008, 22, 1085–1093. [Google Scholar] [CrossRef]
  93. Salih, E.Y.A.; Julkunen-Tiitto, R.; Lampi, A.-M.; Kanninen, M.; Luukkanen, A.; Sipi, M.; Lehtonen, M.; Vuorela, H.; Fyhrquist, P. Terminalia laxiflora and Terminalia brownii contain a broad spectrum of antimycobacterial compounds including ellagitannins, ellagic acid derivatives, triterpenes, fatty acids and fatty alcohols. J. Ethnopharmacol. 2018, 227, 82–96. [Google Scholar] [CrossRef]
  94. Chen, X.; Zhang, S.; Xuan, Z.; Ge, D.; Chen, X.; Zhang, J.; Wang, Q.; Wu, Y.; Liu, B. The Phenolic Fraction of Mentha haplocalyx and Its Constituent Linarin Ameliorate Inflammatory Response through Inactivation of NF-κB and MAPKs in Lipopolysaccharide-Induced RAW264.7 Cells. Molecules 2017, 22, 811. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Jiang, R.-W.; Lau, K.-M.; Hon, P.-M.; Mak, T.C.W.; Woo, K.-S.; Fung, K.-P. Chemistry and Biological Activities of Caffeic Acid Derivatives from Salvia miltiorrhiza. Curr. Med. Chem. 2005, 12, 237–246. [Google Scholar] [CrossRef] [PubMed]
  96. Barros, L.; Dueñas, M.; Carvalho, A.M.; Ferreira, I.C.; Santos-Buelga, C. Characterization of phenolic compounds in flowers of wild medicinal plants from Northeastern Portugal. Food Chem. Toxicol. 2012, 50, 1576–1582. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Primo da Silva, L.; Pereira, E.; Pires, T.C.S.P.; Alves, M.J.; Pereira, O.R.; Barros, L.; Ferreira, I.C.F.R. Rubus ulmifolius Schott fruits: A detailed study of its nutritional, chemical and bioactive properties. Food Res. Int. 2019, 119, 34–43. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  98. De Rosso, M.; Panighel, A.; Vedota, A.D.; Gardiman, M.; Flamini, R. Characterization of Non-Anthocyanic Flavonoids in Some Hybrid Red Grape Extracts Potentially Interesting for Industrial Uses. Molecules 2015, 20, 18095–18106. [Google Scholar] [CrossRef] [PubMed]
  99. Kafle, B.; Baak, J.; Brede, C. Quantification by LC–MS/MS of astragaloside IV and isoflavones in Astragali radix can be more accurate by using standard addition. Phytochem. Anal. 2020, 32, 1–8. [Google Scholar] [CrossRef]
  100. Liu, R.; Ma, R.; Yu, C.; Bi, C.W.; Yin, Y.; Xu, H.; Shang, H.; Bi, K.; Li, Q. Quantitation of eleven active compounds of Aidi injection in rat plasma and its application to comparative pharmacokinetic study. J. Chromatogr. B. 2016, 1026, 105–113. [Google Scholar] [CrossRef]
  101. Garg, M.; Chawla, M.; Chunduri, V.; Kumar, R.; Sharma, S.; Sharma, N.K.; Kaur, N.; Kumar, A.; Mundey, J.K.; Saini, M.K.; et al. Transfer of grain colors to elite wheat cultivars and their characterization. J. Cereal Sci. 2016, 71, 138–144. [Google Scholar] [CrossRef]
  102. Chang, Q.; Wong, Y.-S. Identification of Flavonoids in Hakmeitau Beans (Vigna sinensis) by High-Performance Liquid Chromatography–Electrospray Mass Spectrometry (LC-ESI/MS). Agric. Food Chem. 2004, 52, 6694–6699. [Google Scholar] [CrossRef]
  103. Lago-Vanzela, E.S.; Da-Silva, R.; Gomes, E.; Garcia-Romero, E.; Hermosin-Gutierres, E. Phenolic Composition of the Edible Parts (Flesh and Skin) of Bordô Grape (dersswq) Using HPLC–DAD–ESI-MS/MS. Agric. Food Chem. 2011, 59, 13136–13146. [Google Scholar] [CrossRef]
  104. Wu, Y.; Xu, J.; He, Y.; Shi, M.; Han, X.; Li, W.; Zhang, X.; Wen, X. Metabolic Profiling of Pitaya (Hylocereus polyrhizus) during Fruit Development and Maturation. Molecules 2019, 24, 1114. [Google Scholar] [CrossRef] [Green Version]
  105. Diretto, G.; Jin, H.; Capell, T.; Zhu, C.; Gomez-Gomez, L. Differential accumulation of pelargonidin glycosides in petals at three different developmental stages of the orange-flowered gentian (Gentiana lutea L. var. aurantiaca). PLoS ONE 2019, 14, e0212062. [Google Scholar] [CrossRef]
  106. Kajdzanoska, M.; Gjamovski, V.; Stefova, M. HPLC-DAD-ESI-MSn identification of phenolic compounds in cultivated strawberries from Macedonia. Maced. J. Chem. Chem. Eng. 2010, 29, 181–194. [Google Scholar] [CrossRef] [Green Version]
  107. Costa de Camargo, A.; Regitano-d’Arce, M.A.B.; Telles Biasoto, A.C.; Shahidi, F. Low Molecular Weight Phenolics of Grape Juice and Winemaking Byproducts: Antioxidant Activities and Inhibition of Oxidation of Human Low-Density Lipoprotein Cholesterol and DNA Strand Breakage. J. Agricult. Food Chem. 2014, 62, 12159–12171. [Google Scholar] [CrossRef]
  108. Sun, L.; Tao, S.; Zhang, S. Characterization and Quantification of Polyphenols and Triterpenoids in Thinned Young Fruits of Ten Pear Varieties by UPLC-Q TRAP-MS/MS. Molecules 2019, 24, 159. [Google Scholar] [CrossRef]
  109. Sobeh, M.; Mahmoud, M.F.; Hasan, R.A.; Cheng, H.; El-Shazly, A.M.; Wink, M. Senna singueana: Antioxidant, Hepatoprotective, Antiapoptotic Properties and Phytochemical Profiling of a Methanol Bark Extract. Molecules 2017, 22, 1502. [Google Scholar] [CrossRef]
  110. Ölschläger, C.; Regos, I.; Zeller, F.J.; Treutter, D. Identification of galloylated propelargonidins and procyanidins in buckwheat grain and quantification of rutin and flavanols from homostylous hybrids originating from F. esculentum x F. homotropicum. Phytochemistry 2008, 69, 1389–1397. [Google Scholar] [CrossRef]
  111. Ayoub, M.; de Camargo, A.C.; Shahidi, F. Antioxidants and bioactivities of free, esterified and insoluble-bound phenolics from berry seed meals. Food Chem. 2016, 197, 221–232. [Google Scholar] [CrossRef]
  112. Deng, Y.; He, M.; Feng, F.; Feng, X.; Zhang, Y.; Zhang, F. The distribution and changes of glycoalkaloids in potato tubers under different storage time based on MALDI-TOF mass spectrometry imaging. Talanta 2021, 221, 121453. [Google Scholar] [CrossRef]
  113. Shakya, R.; Navarre, D.A. LC-MS Analysis of Solanidane Glycoalkaloid Diversity among Tubers of Four Wild Potato Species and Three Cultivars (Solanum tuberosum). J. Agric. Food Chem. 2008, 56, 6949–6958. [Google Scholar] [CrossRef]
  114. Hossain, M.B.; Brunton, N.P.; Rai, D.K. Effect of Drying Methods on the Steroidal Alkaloid Content of Potato Peels, Shoots and Berries. Molecules 2016, 21, 403. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Soybean varieties k-11538 (Russia), k-11559 (Russia), k-569 (China), k-5367 (China), k-5373 (China), k-5586 (Sweden), and Primorskaya-86 (Russia).
Figure 1. Soybean varieties k-11538 (Russia), k-11559 (Russia), k-569 (China), k-5367 (China), k-5373 (China), k-5586 (Sweden), and Primorskaya-86 (Russia).
Molecules 27 08228 g001
Figure 2. A transverse section of a soybean seed (variety k-11538): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Figure 2. A transverse section of a soybean seed (variety k-11538): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Molecules 27 08228 g002
Figure 3. A transverse section of a soybean seed (variety k-11559): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Figure 3. A transverse section of a soybean seed (variety k-11559): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Molecules 27 08228 g003
Figure 4. A transverse section of a soybean seed (variety k-569): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Figure 4. A transverse section of a soybean seed (variety k-569): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Molecules 27 08228 g004
Figure 5. A transverse section of a soybean seed (variety k-5367): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Figure 5. A transverse section of a soybean seed (variety k-5367): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Molecules 27 08228 g005
Figure 6. A transverse section of a soybean seed (variety k-5373): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Figure 6. A transverse section of a soybean seed (variety k-5373): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Molecules 27 08228 g006
Figure 7. A transverse section of a soybean seed (variety k-5586): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Figure 7. A transverse section of a soybean seed (variety k-5586): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Molecules 27 08228 g007
Figure 8. A transverse section of a soybean seed (variety Primorskaya-86): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Figure 8. A transverse section of a soybean seed (variety Primorskaya-86): (a) excitation at 405 nm with emission in the range of 400–475 nm (blue); (b) excitation at 488 nm with emission in the range of 500–545 nm (green); (c) excitation at 488 nm with emission in the range of 620–700 nm (red); (d) merged; cot, cotyledon; pl, palisade layer; sc, seed coat.
Molecules 27 08228 g008
Figure 9. Mass spectrum of cyanidin 3-O-glucoside from extracts of soyabean k-5373 (China, Harbin semi-wild), m/z 448.88.
Figure 9. Mass spectrum of cyanidin 3-O-glucoside from extracts of soyabean k-5373 (China, Harbin semi-wild), m/z 448.88.
Molecules 27 08228 g009
Figure 10. Mass spectrum of proanthocyanidin B1 from extracts of soyabean k-5373 (China, Harbin semi-wild), m/z 578.77.
Figure 10. Mass spectrum of proanthocyanidin B1 from extracts of soyabean k-5373 (China, Harbin semi-wild), m/z 578.77.
Molecules 27 08228 g010
Table 1. Compounds identified from the extracts of seven soybean varieties in positive and negative ionization modes by HPLC ion trap MS/MS: k-11538 (Russia), k-11559 (Russia), k-569 (China), k-5367 (China), k-5373 (China), k-5586 (Sweden), and Primorskaya-86 (Russia).
Table 1. Compounds identified from the extracts of seven soybean varieties in positive and negative ionization modes by HPLC ion trap MS/MS: k-11538 (Russia), k-11559 (Russia), k-569 (China), k-5367 (China), k-5373 (China), k-5586 (Sweden), and Primorskaya-86 (Russia).
Class of
Compound
Identified CompoundFormulaMassMolecular Ion [M − H]Molecular Ion [M + H]+2
Fragmentation MS/MS
3
Fragmentation MS/MS
4
Fragmentation MS/MS
References
1Amino acidL-Leucine [(S)-2-Amino-Methylpentanoic acid]C6H13NO2131.1729 132114 Potato leaves [34]; Vigna unguiculata [35]; Lonicera japonica [36]; Camellia kucha [37]
2BenzaldehydeVanillinC8H8O3152.15 153151136 Potato [38,39]; Triticum [40]; millet grains [41]
3Trans-cinnamic acidFerulic acidC10H10O4194.184 195177; 141126 Lonicera japonica [36]; Potato [38,39]; Zostera marina [42]; Andean blueberry [43]; Tomato [44]; Codonopsis Radix [45]; Bougainvillea [46]
4Amino acidL-Tryptophan [Tryptophan; (S)-Tryptophan]C11H12N2O2204.2252 205188144118Vigna unguiculata [35]; Camellia kucha [37]; Perilla frutescens [47]; Passiflora incarnata [48]; Vigna inguiculata [49];
5StilbeneResveratrol [trans-Resveratrol; 3,4′,5-Trihydroxystilbene; Stilbentriol]C14H12O3228.2433 229210141; 169123Embelia [50]; Red wines [51]; vinery products [52]; A. cordifolia; F. glaucescens; F. herrerae [53]; Radix polygoni multiflori [54]
6IsoflavoneDaidzein [4′,7 -Dihydroxyisoflavone; Daidzeol]C15H10O4254.2375 255227; 199; 137181 Hedyotis diffusa [55]; Isoflavones [56]
7Ribonucleoside composite of adenine (purine)AdenosineC10H13N5O4267.2413 268136 Lonicera japonica [36]; Huolisu Oral Liquid [57]
87-hydroxyisoflavoneFormononetin [Biochanin B; Formononetol]C16H12O4268.2641 269254; 159; 118237; 181; 118237; 181Astragali Radix [45]; Isoflavones [56]; Huolisu Oral Liquid [57];
9FlavoneApigenin [5,7-Dixydroxy-2-(40Hydroxyphenyl)-4H-Chromen-4-One]C15H10O5270.2369 271153; 215111 Lonicera japonica [36]; millet grains [41]; Andean blueberry [43]; Hedyotis diffusa [55]; Mexican lupine species [58]; Wissadula periplocifolia [59]
10AnthocyaninPelargonidin [Pelargonidol chloride]C15H11O5+271.2493 271215; 197; 153197; 169; 141169acerola [60]
11Flavan-3-olEpiafzelechin [(epi)Afzelechin]C15H14O5274.2687 275247; 193; 147193; 175 A. cordifolia; F. glaucescens; F. herrerae [53]; Cassia granidis [61]; Cassia abbreviata [62]
12Omega-3 fatty acidStearidonic acid [6,9,12,15-Octadecatetraenoic acid; Moroctic acid]C18H28O2276.4137 277217190 G. linguiforme [53]; Salviae Miltiorrhizae [63]; Rhus coriaria [64]
13Sceletium alkaloid4′-O-desmethyl mesembranolC16H23NO3277.3587276 234218218A. cordifolia [53]
14Omega-3 fatty acidLinolenic acid (Alpha-Linolenic acid; Linolenate)C18H30O2278.4296 Salviae [63]; rice [65]; Pinus sylvestris [66]
15Octadec-9-enoic acidOleic acid (Cis-9-Octadecenoic acid; Cis-Oleic acid)C18H34O2282.4614 283209; 153 Zostera marina [42]; Sanguisorba officinalis [67]; Pinus sylvestris [66]
16FlavoneAcacetin [Linarigenin; Buddleoflavonol]C16H12O5284.2635 285270; 224241 Mexican lupine species [58]; Wissadula periplocifolia [59]; Mentha [68,69]; Dracocephalum palmatum [70]
17Flavone6,7-Dihydroxy-4′-methoxyisoflavoneC16H12O5284.2635 285270; 229; 145242; 152 Mentha [68]
18FlavonolKaempferol [3,5,7-Trihydroxy-2-(4-hydro- xyphenyl)-4H-chromen-4-one] C15H10O6286.2363285 257; 184; 117117 Potato leaves [34]; Lonicera japonica [36]; Potato [38]; Andean blueberry [43]; Rhus coriaria [64]; Rapeseed petals [71]
19Flavan-3-olCatechinC15H14O6290.2681 291243; 189215; 197 Potato [39]; Triticum [40]; millet grains [41]; Eucalyptus [72]; Vaccinium macrocarpon [73]
20Flavan-3-ol(epi)catechinC15H14O6290.2681 291273; 117255; 145 millet grains [41]; C. edulis [53]; Radix polygoni multiflori [54]; Camellia kucha [37]
21FlavoneChrysoeriol [Chryseriol]C16H12O6300.2629 301299; 253; 152226 Dracocephalum palmatum [70]; Rhus coriaria [64]; Rice [65]; Mentha [68]; Mexican lupine species [58]
22Hydroxybenzoic acidEllagic acid [Benzoaric acid; Elagostasine; Lagistase; Eleagic acid]C14H6O8302.1926 303275; 202157139Rhus coriaria [64]; strawberry [74]; Rubus occidentalis [75]; vinery products [52]; Chamaecrista nictitans [76]; Punica granatum [77]
23FlavonolQuercetinC15H10O7302.2357 303244; 202; 184175; 156129Potato leaves [34]; Triticum [40]; Tomato [44]; millet grains [41]; Red wines [51]; vinery products [52]; Rhus coriaria [64]; Eucalyptus [72]; Vaccinium macrocarpon [73]
24FlavanoneHesperitin [Hesperetin]C16H14O6302.2788 303202; 257; 185156 Andean blueberry [43]; [78]; Red wines [51]; Mentha [79]
25DiterpenoidTanshinone IIB [(S)-6-(Hydroxymethyl)-1,6-Dimethyl-6,7,8,9-Tetrahydrophenanthro [1,2-B]Furan-10,11-Dione]C19H18O4310.3438 311292; 189; 135217; 135 Salviae miltiorrhiza [63]
26Flavone5,7-DimethoxyluteolinC17H14O6314.2895313 212; 185; 113113 Syzygium aromaticum [80]
27Omega-hydroxy-long-chain fatty acid19-Hydroxynonadecanoic acidC19H38O3314.5032 315287; 241; 187241; 187169; 124A. cordifolia [53]
28FlavonolRhamnetin I [beta-Rhamnocitrin; Quercetin 7-Methyl ether]C16H12O7316.2623 317299; 243; 189;165; 123147; 123 Rhus coriaria L. (Sumac) [64]; Mangifera indica [81]
29FlavonolIsorhamnetin [Isorhamnetol; Quercetin 3′-Methyl ether; 3-Methylquercetin]C16H12O7316.2623 317288; 243; 189260; 242; 187 Andean blueberry [43]; Eucalyptus [72]; Astragali Radix [45]; Embelia [50]; Rapeseed petals [71]; Syzygium aromaticum [80]
30FlavonolMyricetinC15H10O8318.2351 319271; 217243; 189; 171171millet grains [41]; Red wines [51]; Andean blueberry [43]; Sanguisorba officinalis [67]; F. glaucescens [53]; Clidemia rubra [82]
31HydroxycoumarinUmbelliferone hexosideC15H16O8324.2827 325306; 289;225; 163145 G. linguiforme [53]
32Long-Chain Polyunsaturated Fatty AcidDocosahexaenoic acid [Doconexent; Cervonic acid]C22H32O2328.4883 329327; 281; 181; 115199 Marine extracts [83]
33TrihydroxyflavoneJaceosidin [5,7,4′-trihydroxy-6′,5′-dimetoxyflavone]C17H14O7330.2889 331329; 285; 231; 191; 163328; 286; 216 Mentha [68,84]
34Trihydroxyflavone5,7-Dimethoxy-3,3′,4′-trihydroxyflavoneC17H14O7330.2889 331303; 185157 Oxalis corniculata [85]
35FlavonolMyricetin 5-Methyl ether [5-O-Methylmyricetin]C16H12O8332.2617 333287; 241; 205; 177177; 149149; 123Vitis amurensis [86]; Rhodiola rosea [87]
36Alpha, omega-dicarboxylic acidEicosatetraenedioic acidC20H30O4334.4498 335307; 289; 233277; 246; 207 G. linguiforme [53]
37FlavoneSyringetinC17H14O8346.2883 347317; 290; 219; 169289; 272; 219261; 173C. edulis [53]
38LignanMatairesinol [(−)-Matairesinol;
Artigenin Congener]
C20H22O6358.3851 359325; 289; 258; 198143127Punica granatum [88]; Lignans [89]
39Flavone5,6-Dihydroxy-7,8,3′,4′-
tetramethoxyflavone
C19H18O8374.3414 375346; 219; 173319; 273; 219; 173273; 219; 173Mentha [68]
40Hydroxycinnamic acidCaffeic acid derivativeC16H18O9Na377.2985377 341; 215179 Bougainvillea [46]; Embelia [50]
41SterolCampesterol [Dihydrobrassicasterol]C28H48O400.6801 401381; 304; 225; 171363; 345; 279; 225; 169345; 261; 202A. cordifolia; C. edulis [53]
42SterolStigmasterol [Stigmasterin; Beta-Stigmasterol]C29H48O412.6908 413301; 279; 189171 Hedyotis diffusa [55]; A. cordifolia; F. pottsii [53]; Olive leaves [90]; Salvia [91]
43SterolBeta-Sitostenone [Stigmast-4-En-3-One; Sitostenone]C29H48O412.6908 413395; 345; 301; 171189; 171 F. herrerae [53]; Cryptomeria japonica bark [92]; Terminalia laxiflora [93]
44Hydroxybenzoic acidSalvianolic acid DC20H18O10418.3509 419373; 293; 212; 127329; 271; 192; 127 Mentha [69,94]; Salvia multiorrizae [95]
45Iridoid monoterpenoidDihydroisovaltrateC22H32O8424.4847 425365; 327; 281; 207309; 253235Rhus coriaria [64]
46FlavoneApigenin-7-O-glucoside [Apigetrin; Cosmosiin]C21H20O10432.3775 433271153; 214 Tomato [44]; Grataegi fructus [45]; Mexican lupine species [58]; Dracocephalum palmatum [70]; Mentha [84]; Malva sylvestris [96]
47Hydroxybenzoic acidEllagic acid pentoside [Ellagic acid 4-O-xylopyranoside]C19H14O12434.3073433 257227; 157199; 127Strawberry [74]; Chamaecrista nictitans [76]; Punica granatum [77]; Rubus ulmifolius [97]
48FlavonolDihydrokaempferol-3-O-rhamnosideC21H22O10434.3934433 259258; 229199Vitis vinifera [98]
49DihydroflavonolAromadendrin 7-O-rhamnosideC21H22O10434.3934 435261; 243243; 165215; 161Eucalyptus [72]
59FlavoneCalycosin-7-O-beta-D-glucosideC22H22O10446.4041 447285270; 225; 145242; 152Astragali radix [99]; [100]; Huolisu Oral Liquid [57];
51FlavoneAcacetinO-glucosideC22H22O10446.4041 447285269; 227; 145241Mexican lupine species [58]
52FlavonolKaempferol-3-O-hexosideC21H20O11448.3769 449329; 203303; 257; 203; 185; 157 Andean blueberry [43]; vinery products [52]; F. glaucescens [53]; Rhus coriaria [64]; Punica granatum [77]; Cytisus multiflorus; Malva sylvestris [96]
53AnthocyaninCyanidin-3-O-glucoside [Cyanidin 3-O-beta-D-Glucoside; Kuromarin]C21H21O11+449.3848 449287213; 175213; 185; 141Triticum [40,101]; acerola [60]; Rice [65]; Clidemia rubra [82]; Rapeseed petals [71]; Vigna sinensis [102]; Vitis labrusca [103]
54Anabolic steroidVebonolC30H44O3452.6686 453444; 389; 340; 276435; 395; 336; 259417; 331; 268Rhus coriaria [64]; Hylocereus polyrhizus [104]
55AnthocyaninPelargonidin 3-O-(6-O-malonyl-beta-D-glucoside)C24H23O13519.4388 519271215; 153197Gentiana lutea [105]; Wheat [101]; Strawberry [106]
56Indole sesquiterpene alkaloidSespendoleC33H45NO4519.7147 520184; 502166 Rhus coriaria [64]; Hylocereus polyrhizus [104]
57FlavonolKaempferol diacetyl hexosideC25H24O13532.4503 533285270; 229; 145242; 224; 152A. cordifolia [53]
58FlavoneAcacetinO-glucoside malonylatedC25H24O13532.4503 533285269; 228; 145196; 152Mexican lupine species [58]
59Condensed tanninProcyanidin A-type dimerC30H24O12576.501 577547; 493; 425; 245; 181217189; 161Vaccinium macrocarpon [73]; grape juice [107]; pear [108]
60Condensed tanninProanthocyanidin B1 [Procyanidin B1; Procyanidin Dimer B1; (−)-epicatechin-(4beta->8)-(+)-catechin; Epicatechin-(4beta->8)-ent-epicatechin]C30H26O12578.5202 579409; 343; 291; 247; 205287; 259; 203; 163245Camellia kucha [37]; millet grains [41]; Vigna inguiculata [49]; vinery products [52]; Andean blueberry [43]; Vaccinium macrocarpon [73]; strawberry [74]; grape juice [107]; pear [108]; Senna singueana [109]
61Condensed tanninProcyanidin B2 [Epicatechin-(4beta->8)-epicatechin]C30H26O12578.5202 579427; 291; 247; 211408; 327; 227; 139379; 287; 257; 163millet grains [41]; F. esculentum [110]; Red wines [51]; blackberry [111]
62Steroidal alkaloidAlpha-chaconineC45H73NO14852.0594 852706560398Potato [39,112,113,114]
63Steroidal alkaloidSolanidadiene solatrioseC45H73NO15868.9588 868706; 661; 560; 477560; 398382; 327Potato [113]
Table 2. Polyphenolic compounds identified in seven varieties of soybean.
Table 2. Polyphenolic compounds identified in seven varieties of soybean.
Class of
Compound
Identified CompoundFormulak-569 (China)k-5586 (Sweden)k-5367 (China)k-5373 (China)k-11538 (Russia)k-11559 (Russia)Primorskaya-86 (Russia)
1IsoflavoneDaidzein [4′,7 -Dihydroxyisoflavone; Daidzeol]C15H10O4
27-hydroxyisoflavoneFormononetin [Biochanin B; Formononetol]C16H12O4
3FlavoneApigeninC15H10O5
47-hydroxyisoflavoneFormononetin [Biochanin B; Formononetol]C16H12O4
5FlavoneApigeninC15H10O5
6FlavoneAcacetin [Linarigenin; Buddleoflavonol]C16H12O5
7Flavone6,7-Dihydroxy-4′-methoxyisoflavoneC16H12O5
8FlavoneChrysoeriol [Chryseriol]C16H12O6
9Flavone5,7-DimethoxyluteolinC17H14O6
10TrihydroxyflavoneJaceosidinC17H14O7
11Trihydroxyflavone5,7-Dimethoxy-3,3′,4′-trihydroxyflavoneC17H14O7
12FlavoneSyringetinC17H14O8
13Flavone5,6-Dihydroxy-7,8,3′,4′-tetramethoxyflavoneC19H18O8
14FlavoneApigenin-7-O-glucosideC21H20O10
15FlavoneCalycosin-7-O-beta-D-glucosideC22H22O10
16FlavoneAcacetin O-glucosideC22H22O10
17FlavoneAcacetin O-glucoside malonylatedC25H24O13
18FlavonolKaempferolC15H10O6
19FlavonolQuercetinC15H10O7
20FlavonolRhamnetin IC16H12O7
21FlavonolIsorhamnetinC16H12O7
22FlavonolMyricetinC15H10O8
23FlavonolMyricetin 5-Methyl ether [5-O-Methylmyricetin]C16H12O8
24FlavonolDihydrokaempferol-3-O-rhamnosideC21H22O10
25DihydroflavonolAromadendrin 7-O-rhamnosideC21H22O10
26FlavonolKaempferol-3-O-hexosideC21H20O11
27FlavonolKaempferol diacetyl hexosideC25H24O13
28Flavan-3-olEpiafzelechin [(epi)Afzelechin]C15H14O5
29Flavan-3-olCatechinC15H14O6
30Flavan-3-ol(epi)catechinC15H14O6
31FlavanoneHesperitin [Hesperetin]C16H14O6
32AnthocyaninPelargonidin [Pelargonidol chloride]C15H11O5+
33AnthocyaninCyanidin-3-O-glucosideC21H21O11+
34AnthocyaninPelargonidin 3-O-(6-O-malonyl-beta-D-glucoside)C24H23O13
35Condensed tanninProcyanidin A-type dimerC30H24O12
36Condensed tanninProanthocyanidin B1C30H26O12
37Condensed tanninProanthocyanidin B2C30H26O12
38Phenolic acidFerulic acidC10H10O4
39Phenolic acidEllagic acidC14H6O8
40Phenolic acidCaffeic acid derivativeC16H18O9Na
41Phenolic acidSalvianolic acid DC20H18O10
42Phenolic acidEllagic acid pentosideC19H14O12
43StilbeneResveratrolC14H12O3
44HydroxycoumarinUmbelliferone hexosideC15H16O8
45LignanMatairesinolC20H22O6
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Razgonova, M.P.; Zinchenko, Y.N.; Kozak, D.K.; Kuznetsova, V.A.; Zakharenko, A.M.; Ercisli, S.; Golokhvast, K.S. Autofluorescence-Based Investigation of Spatial Distribution of Phenolic Compounds in Soybeans Using Confocal Laser Microscopy and a High-Resolution Mass Spectrometric Approach. Molecules 2022, 27, 8228. https://doi.org/10.3390/molecules27238228

AMA Style

Razgonova MP, Zinchenko YN, Kozak DK, Kuznetsova VA, Zakharenko AM, Ercisli S, Golokhvast KS. Autofluorescence-Based Investigation of Spatial Distribution of Phenolic Compounds in Soybeans Using Confocal Laser Microscopy and a High-Resolution Mass Spectrometric Approach. Molecules. 2022; 27(23):8228. https://doi.org/10.3390/molecules27238228

Chicago/Turabian Style

Razgonova, Mayya P., Yulia N. Zinchenko, Darya K. Kozak, Victoria A. Kuznetsova, Alexander M. Zakharenko, Sezai Ercisli, and Kirill S. Golokhvast. 2022. "Autofluorescence-Based Investigation of Spatial Distribution of Phenolic Compounds in Soybeans Using Confocal Laser Microscopy and a High-Resolution Mass Spectrometric Approach" Molecules 27, no. 23: 8228. https://doi.org/10.3390/molecules27238228

APA Style

Razgonova, M. P., Zinchenko, Y. N., Kozak, D. K., Kuznetsova, V. A., Zakharenko, A. M., Ercisli, S., & Golokhvast, K. S. (2022). Autofluorescence-Based Investigation of Spatial Distribution of Phenolic Compounds in Soybeans Using Confocal Laser Microscopy and a High-Resolution Mass Spectrometric Approach. Molecules, 27(23), 8228. https://doi.org/10.3390/molecules27238228

Article Metrics

Back to TopTop