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. 2025 May 31;61:111737. doi: 10.1016/j.dib.2025.111737

Data on investigation of metabolomics and ionomics of Humulus lupulus grown in India

Tripti Singh 1, Ashwani Mathur 1,⁎
PMCID: PMC12210321  PMID: 40599428

Abstract

The article reports data on chemical profiling of aqueous, methanolic, and n-hexane extract of field cultivated male Humulus lupulus using liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS). Also, the elemental profiling of the soil was carried out using Inductively coupled plasma mass spectrometry (ICP-MS). The elemental analysis revealed the soil to be rich in iron, calcium, magnesium, sodium, and potassium while trace elements like copper, cobalt, zinc, and molybdenum comparatively were found to be in lesser amounts. The diverse catalogues of compounds, identified in plant extracts, belong to different phytocompound groups, including phenolics, flavonoids, fatty acids, and alcohol derivatives. The compounds, such as Trans-2-methyl-4-n-pentylthiane, 2-Azido-2,4,4,6,6,8,8-heptamethylnonane were identified (with a similarity score > 65) in n-hexane, while compounds like Arsenous acid, tris(trimethylsilyl) ester and (Tris(tert-butyldimethylsilyloxy) arsane were identified in methanolic extract. The aqueous extract revealed compounds such as 2-Amino-1,3,4-octadecanetriol and Safingol with the highest peak area run in positive mode while Oleanolic acid and Gingerol have the highest peak area run in negative mode. The suggestive association between soil elemental composition, abiotic factors and plant germplasm, on phytochemical profile is proposed.

Keywords: Humulus lupulus, GC-MS, LC-MS, ICP-MS, Phytochemicals, Elements


Specifications Table

Subject Biology
Specific subject area Medicinal plants and pharmacology.
Type of data Raw data, Tables, Figures, Chromatograms, Text files,
Data collection The leaves of the field-cultivated male Humulus lupulus plant (germinated from seeds) were collected, dried, and extracted in solvents like hexane, methanol, and distilled water. The GC-MS of the extracts (methanol, hexane) was carried out at Agilent 5977B EI/CI MSD (California, United States) and LC-MS of aqueous extract was carried out at Dionex Ultimate 3000, Thermo Scientific (Massachusetts, United States). The elemental analysis of the soil in which the plant propagated was carried out by ICP-MS using Agilent Technologies make Model: 7900 (California, United States).
Data source location The seeds of Humulus lupulus were procured from Palm Beach, Europe. The seeds were potted at Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India, Latitude- 28.630111° and Longitude-77.373969°. The plant propagated were used for carrying out the studies.
Data accessibility Repository name: Mendeley Data- https://data.mendeley.com/
Data identification number: doi:10.17632/chz389f8dd.1
Direct URL to data: https://data.mendeley.com/datasets/chz389f8dd/1
Data Citation: Singh, Tripti; Mathur, Ashwani (2024), “Data on
Investigation of Metabolomics and Ionomics of Humulus lupulus grown in
India ”, Mendeley Data, V1, doi:10.17632/chz389f8dd.1.

1. Value of the Data

  • •

    Hops (Humulus lupulus) have widely been explored since decades, for the plethora of phytocompounds and their reported application in therapeutics including anti-cancerous, anti-inflammatory, antioxidant, and antimicrobial properties. The plant is also effective in the treatment of metabolic syndrome and different ailments related to anxiety, stress, and sleep disorders.

  • •

    The predictive compounds identified in the plant viz-viz in different solvents provide a direction to the researchers for exploring the therapeutic potential of the investigated compounds and suggest the role of abiotic parameters including soil properties, in regulating phytocompound biosynthesis.

  • •

    The data obtained by different chromatography techniques may be utilized for the isolation of these compounds and their bioactivity assessment which may be further extended toward prevention of different diseases and the designing of rationalized drugs.

  • •

    Also, the elemental profiling data would help in studying the potential correlation between plant germplasm, abiotic variables, and soil on phytochemical profile.

2. Background

Humulus lupulus, sister species of the cannabaceae family has been well known for its application in the brewing industry [1]. The plant is rich in secondary metabolites and is well known for treatment of metabolic syndrome and has also been explored for its therapeutic potential down the lane [[2], [3], [4]]. The genetic factors play a pivotal role in controlling the metabolic profiling of the medicinal plants however their production is also influenced to some extent by the environmental factors [5]. Different abiotic environmental factors like demography (latitude and longitude), climatic conditions, intensity of light, edaphic variations and interactions among the biotic components influences the amount and content of phytochemicals present in the plant. The degree of variation and adaptation to particular environmental factors may be reflected in the association between the level of secondary metabolites and external variables [[6], [7], [8], [9], [10], [11]]. Thus, the present study deals with the investigation of the metabolic and elemental profiling of Humulus lupulus, a plant of medicinal benefit grown in India.

3. Data Description

The plant Humulus lupulus is propagated via seeds at JIIT premises (Fig. 1). The present data pertains to predictive compounds identified in methanolic and n-hexane extracts of Humulus lupulus using GC-MS as shown in Table 1 (raw data 3 and 4). The compounds identified has been compared with NIST library and the comparative chromatograms have been depicted in Table 2. The compounds in the aqueous extract were screened using LC-MS and the data is presented in Table 3 (raw data 1 (negative mode) and 2 (positive mode)). The concentration of the elements present in the soil sample was analyzed using ICP-MS (raw data 5) and the data is shown in Table 4.

Fig. 1.

Fig 1

Humulus lupulus propagated at JIIT premises.

Table 1.

Predictive secondary metabolites identified in n-hexane and methanolic extract of Humulus lupulus using gas chromatography-mass spectroscopy.

Solvent Compound Name PubChem ID MW
(g/mol)
Molecular Formula Similarity
Score
Hexane Propanoic acid, 2,2-
dimethyl-, anhydride with diethylborinic acid
546082 170.06 C9H19BO2 61.30
Borinic acid, diethyl 522516 99.97 C4H11BO 63.37
2-Azido-2,4,4,6,6-pentamethylheptane 546203 211.35 C12H25N3 64.37
Trans-2-methyl-4-n-pentylthiane 12680844 218.356 Da C11H22S 67.00
Benzene, 1,3-bis(1,1-dimethylethyl) 136810 190.32 C14H22 68.20
2,4-Di-tert-butylphenol 7311 206.32 C14H22O 60.02
Trihexadecyl borate 292409 735.1 C48H99BO3 61.32
2-Azido-2,4,4,6,6,8,8-heptamethylnonane 546206 267.45 C16H33N3 69.65
Methanol Arsenous acid, tris(trimethylsilyl) ester 180508 342.49 C9H27AsO3Si3 72.74
Benzoic acid 1-methoxy-1H-tetrazol-5-ylmethyl ester 569263 234.21 C10H10N4O3 42.40
trans-2,4-Dimethylthiane, S,S-dioxide 71394538 130.25 C7H14S 53.02
(Tris(tert-butyldimethylsilyloxy)arsane 91733954 468.7 C18H45AsO3Si3 65.77

Table 2.

Comparative table for observed and library spectra of compounds detected in n-hexane and methanolic extract of Humulus lupulus using GC-MS.

Image, table 2

Table 3.

Predictive secondary metabolites identified in aqueous extract of Humulus lupulus using liquid chromatography-mass spectroscopy.

Mode Type Compound Name Molecular
Formula
Molecular
Weight
m/z Area
Positive 2-Amino-1,3,4-octadecanetriol C18 H39 NO3 317.29 318.2 2,214,830,943.58
Positive Safingol C18 H39 NO2 301.29 302.30 2,490,302,591.78
Positive Absinthin C30H40O6 496.28 497.28 324,769,236.0
Positive Kaempferol C15 H10O6 286.04 287.05 156,569,469.34
Negative Oleanolic acid C30 H48O3 456.36 455.35 408,603,118.28
Negative (+)-[6]-Gingerol C17 H26O4 294.18 293.17 292,681,908.77
Negative Genistein C15 H10O5 270.05 269.04 124,081,235.20
Negative Azelaic acid C9 H16O4 188.10 187.09 97,740,853.97

Table 4.

Concentration of elements identified in soil sample tested using Inductively coupled plasma-mass spectrometry (ICP-MS).

Elements Name Symbol Atomic Mass Atomic Number Concentration (µg/g)
Sodium Na 22.990 11 2635.705
Magnesium Mg 24.305 12 8421.201
Phosphorus P 30.974 15 2831.709
Potassium K 39.098 19 10,562.468
Calcium Ca 40.078 20 15,626.745
Manganese Mn 54.938 25 970.605
Iron Fe 55.845 26 41,739.123
Cobalt Co 58.933 27 9.570
Copper Cu 63.546 29 45.279
Zinc Zn 65.38 30 215.144
Molybdenum Mo 95.95 42 1.510

4. Experimental Design, Materials and Methods

4.1. Collection of plant material and preparation

The seeds of Humulus lupulus were procured from Palm Beach (Europe). The seeds were propagated in the soil at Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India. Once the plant was propagated the plant specimen was identified by the Department of Forest Products at DR Y.S. Parmar University of Horticulture & Forestry, Nauni, Solan (Himachal Pradesh), India. The leaves were harvested during the vegetative phase of plant growth. The collected leaves were washed and kept on air drying.

4.2. Plant sample extraction

The dried leaves were crushed using a mortar and pestle and were mixed with different solvents viz. n-hexane, methane, and distilled water respectively. The mixtures were kept on shaking (Tarsons, India) for 48 h at 100 rpm around 30 °C. After 48 hrs the samples were filtered using whatman paper and kept for drying. The supernatant of the plant was kept on drying and scraped using a spatula. Stock concentrations of (5mg/mL) were made and dilutions (1mg/mL) were used for carrying out GC and LC-MS. The soil sample was collected from the field and dried for ICP-MS to be carried out.

4.3. Liquid chromatography/mass spectroscopy (LC-MS)

The LC-MS of the samples were carried out as method reported by Singh and Mathur with modifications [12]. The LC-MS analysis was conducted on Dionex Ultimate 3000, Thermo Scientific (Massachusetts, United States) equipped with Q Exactive, Thermo Scientific. The Hypersil Gold C18 with dimensions 2.1 mm x 100 mm, 3.0 µm used was to inject the sample volume of 15 µl at a flow rate of 0.350 mL/min. The machine was run in both modes (Positive (+), Negative (-) with a scan range of 120–800 m/z and capillary voltage of (+) 3.5 kV to (-) 2.5 kV respectively. The raw data was analyzed using the software ThermoFisher Scientific Compound Discoverer 3.3.

4.4. Gas chromatography/mass spectroscopy (GC-MS)

The GC-MS analysis was carried out at Agilent 5977B EI/CI MSD (California, United States). 10 µl of the sample was injected in the column with a flow rate of 1.21 mL/min. The GC-MS was carried out as method reported by Srivastava and Mathur with modifications [13]. The injection temperature was maintained at 260 °C with a pressure of 90.5 kPa. The instrument temperature was increased initially from 100 °C to 300 °C. The MS start and end times were 4.0 and 39.9 min while the start and end times of m/z were 40 and 600 respectively. The sample spectra were compared with NIST library for predictive compound identification with a similarity score.

4.5. Inductively coupled plasma/mass spectroscopy (ICP-MS)

The ICP-MS of the samples were carried out using method reported by Trimmel et al. with modifications [14]. The digestion of the samples was carried out at Microwave Reaction System (Anton Paar make model: Multiwave PRO) (Graz, Austria). 8 mL of nitric acid was used to digest the sample, and volume was added up to 40 mL. The samples were filtered using a 0.2-micron membrane. For ICP-MS the samples were tested on Agilent Technologies, Model: 7900 (California, United States). The He gas flow was set at 0.2 mL/min with both the nebulizer and auxillary gas flow rate of 1 L/min.

Limitations

Not applicable.

Ethics Statement

The authors have read and followed the ethical requirements for publication in Data in Brief confirming that the current work does not involve human subjects, animal experiments, or any data collected from social media platforms.

CRediT Author Statement

Tripti Singh: Conceptualization, Methodology, Data Curation, Investigation, Writing- Original draft preparation. Ashwani Mathur: Visualization, Supervision, Validation, Writing- Reviewing and Editing.

Acknowledgements

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Contributor Information

Tripti Singh, Email: tripti1234.singh@gmail.com.

Ashwani Mathur, Email: ashwani.mathur@jiit.ac.in.

Data Availability

References

  • 1.Korpelainen H., Pietiläinen M. Hop (Humulus lupulus L.): traditional and present use, and future potential. Econ. Bot. 2021;75:302–322. doi: 10.1007/s12231-021-09528-1. [DOI] [Google Scholar]
  • 2.Dostálek P., Karabín M., Jelínek L. Hop phytochemicals and their potential role in metabolic syndrome prevention and therapy. Molecules. 2017;22(10):1761. doi: 10.3390/molecules22101761. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Carbone K., Gervasi F. An updated review of the Genus Humulus: a valuable source of bioactive compounds for health and disease prevention. Plants. 2022;11(24):3434. doi: 10.3390/plants11243434. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Zugravu C.A., Bohiltea R.E., Salmen T., Pogurschi E., Otelea M.R. Antioxidants in hops: bioavailability, health effects and perspectives for new products. Antioxidants. 2022;11(2):241. doi: 10.3390/antiox11020241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bazargani M.Mohammadi, Falahati-Anbaran M., Rohloff J. Comparative analyses of phytochemical variation within and between congeneric species of Willow Herb, Epilobium hirsutum and E. parviflorum: contribution of environmental factors. Front. Plant Sci. 2021;11 doi: 10.3389/fpls.2020.595190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Jaakola L., Hohtola A. Effect of latitude on flavonoid biosynthesis in plants. Plant, Cell Environ. 2010;33(8):1239–1247. doi: 10.1111/j.1365-3040.2010.02154.x. [DOI] [PubMed] [Google Scholar]
  • 7.D.R. Gouvea, L. Gobbo-Neto, N.P. Lopes, The influence of biotic and abiotic factors on the production of secondary metabolites in medicinal plants in: Valdir Cechinel-Filho (Eds.), Plant Bioactives and Drug Discovery: Principles, Practice, and Perspectives. 2012. pp. 419. 10.1002/9781118260005.ch12. [DOI]
  • 8.Sampaio B.L., Edrada-Ebel R., Da Costa F.B. Effect of the environment on the secondary metabolic profile of Tithonia diversifolia: a model for environmental metabolomics of plants. Sci. Rep. 2016;6(1) doi: 10.1038/srep29265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Demasi S., Caser M., Lonati M., Cioni P.L., Pistelli L., Najar B., Scariot V. Latitude and altitude influence secondary metabolite production in peripheral alpine populations of the Mediterranean species Lavandula angustifolia Mill. Front. Plant Sci. 2018;9 doi: 10.3389/fpls.2018.00983. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Yang L., Wen K.S., Ruan X., Zhao Y.X., Wei F., Wang Q. Response of plant secondary metabolites to environmental factors. Molecules. 2018;23(4):762. doi: 10.3390/molecules23040762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Li Y., Kong D., Fu Y., Sussman M.R., Wu H. The effect of developmental and environmental factors on secondary metabolites in medicinal plants. Plant Physiol. Biochem. 2020;148:80–89. doi: 10.1016/j.plaphy.2020.01.006. [DOI] [PubMed] [Google Scholar]
  • 12.Singh T., Mathur A. LC-MS based phytochemical perspective, ACE inhibition potential and pharmacokinetics study of Humulus lupulus flower extract. Trop. J. Nat. Prod. Res. 2023;7(9):3951–3959. https://tjnpr.org/index.php/home/article/view/2617 [Google Scholar]
  • 13.Srivastava U., Mathur A. A comparative dataset on the GC–MS analysis and antioxidant activity of Selaginella bryopteris from different geolocations of India. Data Brief. 2025;59 doi: 10.1016/j.dib.2025.111318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Trimmel S., Meisel T.C., Lancaster S.T., et al. Determination of 48 elements in 7 plant CRMs by ICP-MS/MS with a focus on technology-critical elements. Anal. Bioanal. Chem. 2023;415:1159–1172. doi: 10.1007/s00216-022-04497-3T. [DOI] [PMC free article] [PubMed] [Google Scholar]

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