Rice University Metabolic Report on Earti Micrgreens

TO: Lanham Frazier, Big S 

FROM: Drs. Evan Siemann & Meenakshi Bhattacharjee, Rice University 

DATE: 3-11-2025 

RE: Untargeted metabolomics analyses of EARTI ™  microgreens 

 

We analyzed the metabolites in arugula (Eruca vesicaria) microgreens grown in the EARTI ™  chamber and arugula microgreens bought at local grocery stores. Untargeted metabolomics simultaneously measures all detectable compounds in a sample (hundreds to thousands of compounds), determines the relative concentrations of each compound among the samples via differences in peak areas, and identifies each compound (if possible). However, it does not tell the absolute concentrations of compounds so it is not possible to determine the relative concentrations of different compounds, even in the same sample.  But, it gives a comprehensive chemical profile that can be used to compare among samples.  

Arugula was grown for seven days post planting in the EARTI ™  chamber. Then the arugula microgreens were cut at the base, ground in liquid nitrogen with a mortar and pestle, and stored at -80°C. Another set of microgreens were harvested two days later and processed the same way. Later, another set of seven day microgreens were grown and processed. Arugula microgreens were bought from HEB and Sprouts and processed the same way as the EARTI ™  samples. All the samples were shipped in a container of dry ice to Creative Proteonomics in Shirley, NY. Details of their chemical analysis methods are at the end of this report.  

The data were analyzed at Rice University. First, the untargeted metabolomics data were processed to remove peaks that could not be assigned to a specific compound. Second, Principle Component Analysis (PCA) was used to examine the overall chemical composition of samples and to determine which samples had similar vs. distinct chemical compositions. This was done separately for data generated using positive vs. negative detector modes. Third, each chemical compound was tested to determine whether it differed in concentration between the EARTI ™  vs. commercial samples using ANOVAs. P-values were adjusted using sequential Bonferroni correction (alpha=0.05) to control for false discovery with the large number of tests being performed. Fourth, the ratios of concentrations of each compound in EARTI ™  vs. 

commercial samples were examined to identify compounds that occurred in much higher concentrations in EARTI ™  vs. commercial samples. Finally, a literature search was conducted to determine effects on human health for compounds that were present in significantly higher concentrations in EARTI ™  vs. commercial samples. 

Key findings were: 1) Arugula microgreens grown in EARTI ™  had chemical compositions that were distinct from those of arugula microgreens available at local grocery stores in Houston, TX. 2) A shorter time to harvest in EARTI ™  produced arugula microgreens that had consistent chemical composition. 3) Seventeen compounds were significantly elevated in EARTI ™  arugula microgreens vs. those bought at local grocery stores and ten were significantly lower in EARTI ™  samples. 4) Another three compounds were not significantly different between EARTI ™  samples vs. those bought in local grocery stores but were present at more than 100 times the concentration in EARTI ™  samples. 5) More chemical compounds were elevated in arugula microgreens grown in EARTI ™  than in those bought at local grocery stores. 6) Dipeptides were commonly elevated in EARTI ™  samples.  

              

 

1 

PCA: The overall chemical composition of the samples fell into three distinct groups (Figure 1). In these graphs, points closer to each other have more similar chemical compositions and points more distant from each other have more distinct chemical compositions. In these graphs, positive vs. negative on the axes is arbitrary. The key finding was that, the same three groups are found in both positive and negative detector mode data. One group is the commercial samples from grocery stores (“C1” – H2Organics bought from HEB, “C2” – BrightFresh bought from Sprouts). Another was the short time to harvest samples from 

EARTI ™  (“T1” – planted 10/2/24 and harvested on 10/9/24; “T2” – planted 10/19/24 and harvested on 

10/26/24). The longer time to harvest EARTI ™  sample was separate from the others (“T3” – planted 10/2/24 and harvested on 10/11/24). At harvest, the T3 sample seemed to have some microbial contamination based on appearance and odor. It is important to note that it is possible that different arugula varieties were grown in EARTI ™  vs. those for commercial samples which could contribute to the differences in their chemical compositions. 

 

 

Figure 1 Chemical composition of arugula microgreen samples grown in EARTI ™  for 7 days (T1, T2) or 9 days (T3) along with commercial arugula microgreen samples (C1, C2). Numbers indicate the percent of variation explained by each axis.   

2 


ANOVAs: For examining which compounds contribute to these distinct chemical compositions, we restricted statistical analyses to only the shortterm EARTI ™  vs. commercial samples. After correcting for examining a large number of compounds (~1000 in total) with a sequential Bonferroni procedure, there were 27 compounds that differed significantly between EARTI ™  vs. commercial samples (Table 1). If T:C >1 (i.e., log[T/C]>0) then there is a higher concentration in EARTI ™  samples vs. commercial samples [rows in green] while T:C<1 means greater concentrations in commercial samples [rows in red].  

Table 1. The relative concentrations of samples that differed significantly between arugula microgreens grown in EARTI ™  vs. those bought at local grocery stores. Mode = detector mode. CODE indicates the peak number. RT = retention time in minutes. MW = molecular weight. T:C is the ratio of the compound’s concentration in EARTI ™  vs. commercial samples.   

   

   

   

   

   

   

   

   

   

   

   

   

   

   

Mode  

CODE  

RT [min]  

MW  

Name  

Formula  

Chemical class  

T1  

T2  

C1  

C2  

T:C  

log(T/C)  

P-value  

Pos  

C4607  

5.781  

482.10372  

Epigallocatechin 3'-glucuronide  

C21 H22 O13  

flavonoid metabolite (glucuronidated catechin derivative)  

2.93  

3.21  

15.63  

15.01  

0.20  

-0.70  

0.0008  

Pos  

C2300  

4.027  

302.0798  

Hesperetin  

C16 H14 O6  

flavanone (Flavonoid compound)  

40.28  

52.08  

195.99  

209.74  

0.23  

-0.64  

0.0033  

Neg  

C2315  

5.799  

316.18906  

Menthol-glucoronide  

C16 H28 O6  

glucuronidated monoterpenoid (menthol metabolite)  

35.30  

36.88  

143.65  

144.66  

0.25  

-0.60  

<.0001  

Pos  

C1197  

1.371  

216.12212  

N-Acetyl-arginine  

C8 H16 N4 O3  

acetylated amino acid derivative  

8.31  

9.10  

29.21  

30.16  

0.29  

-0.53  

0.0009  

Neg  

C0762  

5.705  

212.06876  

Vanillactic acid  

C10 H12 O5  

phenolic acid derivative (vanillin metabolite)  

11.80  

10.37  

27.99  

27.64  

0.40  

-0.40  

0.0019  

Neg  

C0243  

1.496  

143.05835  

Trimethadione  

C6 H9 N O3  

oxazolidinedione (anticonvulsant drug)  

211.74  

237.03  

534.53  

521.89  

0.42  

-0.37  

0.0022  

Pos  

C0953  

7.343  

190.13572  

Heptanophenone  

C13 H18 O  

aromatic ketone  

24.25  

26.56  

51.90  

50.55  

0.50  

-0.30  

0.0027  

Neg  

C0452  

5.208  

173.10551  

N-Acetylalloisoleucine  

C8 H15 N O3  

acetylated amino acid  

79.84  

83.04  

164.46  

162.99  

0.50  

-0.30  

0.0005  

Pos  

C2222  

1.805  

296.1007  

Aspartyl-Tyrosine  

C13 H16 N2 O6  

dipeptide  

220.97  

219.63  

357.96  

359.49  

0.61  

-0.21  

<.0001  

Neg  

C3451  

11.798  

367.27253  

3, 5-Tetradecadiencarnitine  

C21 H37 N O4  

acylcarnitine  

18.51  

18.39  

27.84  

27.71  

0.66  

-0.18  

<.0001  

Neg  

C3674  

12.394  

377.29326  

Arachidonoyl Serinol  

C23 H39 N O3  

N-acyl ethanolamine-related lipid  

48.90  

50.82  

22.48  

22.82  

2.20  

0.34  

0.0013  

Pos  

C0543  

0.992  

155.06946  

Histidine  

C6 H9 N3 O2  

amino acid  

5543.75  

5371.65  

2100.90  

1778.52  

2.81  

0.45  

0.0027  

Pos  

C0228  

75  

118.04519  

5-Mercapto-2-pentanone  

C5 H10 O S  

thiol-containing ketone (organosulfur compound)  

437.92  

405.21  

144.53  

148.87  

2.87  

0.46  

0.0036  

Pos  

C1075  

2.88  

205.07383  

Indolelactic acid  

C11 H11 N O3  

indole derivative (tryptophan metabolite)  

195.31  

197.99  

36.67  

46.08  

4.75  

0.68  

0.0010  

Pos  

C0970  

3.078  

193.07731  

3-(Butylsulfinyl)alanin  

C7 H15 N O3 S  

sulfoxide-containing amino acid derivative  

33.35  

31.80  

6.74  

3.70  

6.24  

0.80  

0.0039  

Neg  

C0850  

1.613  

220.08815  

Alanine-Methionine  

C8 H16 N2 O3 S  

dipeptide  

369.15  

356.18  

37.93  

66.98  

6.91  

0.84  

0.0026  

Pos  

C3151  

6.016  

351.15815  

Tryptophan-Phenylalanine  

C20 H21 N3 O3  

dipeptide  

99.38  

102.04  

12.92  

9.70  

8.91  

0.95  

0.0005  

Neg  

C1092  

4.931  

244.17847  

epsilon-(Hexanoyl)lysine  

C12 H24 N2 O3  

lipidated amino acid (N-acyl lysine derivative)  

3172.16  

3370.09  

360.59  

271.79  

10.35  

1  

0.0013  

Neg  

C1158  

2.408  

248.11932  

Valine-Methionine  

C10 H20 N2 O3 S  

dipeptide  

414.68  

452.32  

26.23  

28.58  

15.82  

1.20  

0.0021  

Neg  

C0051  

82  

97.96737  

Sulfate  

H2 O4 S  

inorganic anion  

50321.93  

54319.42  

2520.49  

3845.39  

16.44  

1.22  

0.0018  

 

Neg  

C1884  

4.865  

296.11932  

glycyclamide  

C14 H20 N2 O3 S  

peptidomimetic (amide derivative of glycine)  

66.79  

73  

5.70  

3  

20.48  

1.31  

0.0023  

Neg  

C0682  

1.613  

202.13176  

Alanylleucine  

C9 H18 N2 O3  

dipeptide  

1463.15  

1504.32  

69.38  

69.84  

21.31  

1.33  

0.0002  

Neg  

C2210  

5.769  

312.14787  

Phenylalanylphenylalanine  

C18 H20 N2 O3  

dipeptide  

135.68  

137.11  

6.81  

3.27  

27.05  

1.43  

0.0002  

Neg  

C1157  

2.886  

248.11931  

6-Hydroxymelatonin  

C13 H16 N2 O3  

melatonin metabolite (indole derivative)  

131.54  

122.38  

4.66  

2.91  

33.55  

1.53  

0.0014  

Pos  

C4617  

3.873  

484.1117  

Sulforaphane-glutathione  

C16 H28 N4 O7 S3  

organosulfur compound (glutathione conjugate of sulforaphane)  

53.07  

56.96  

1.94  

1.24  

34.53  

1.54  

0.0014  

Neg  

C1323  

3.956  

262.13489  

Methionylleucine  

C11 H22 N2 O3 S  

dipeptide  

295.33  

322.37  

10.05  

7.83  

34.54  

1.54  

0.0020  

Pos  

C1948  

1.482  

278.09354  

N-Glutamylcysteine ethyl ester  

C10 H18 N2 O5 S  

glutathione precursor (modified dipeptide)  

66.13  

61.76  

1.71  

1.63  

38.25  

1.58  

0.0012  

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  

3 

Relative concentrations by sample: Although they are not significantly different between EARTI ™  and commercial samples, three compounds were present at more than 100 times the concentration in EARTI ™  vs. commercial samples. They were N-Butylbenzenesulfonamide (sulfonamide) which was ~200 times higher in EARTI ™  samples along with p-methoxybenzylisothiocyanate (isothiocyanate) and 2,3Dihydroxypropyl nonadecanoate (fatty acid ester) which were ~100 times higher in EARTI ™  samples.  

Figure 2. The relative concentrations compounds (log transformed) in arugula microgreens grown in EARTI ™  [7 days] vs. those bought at local grocery stores.   

 

4 


 

Compound functions: Potential effects on human health for compounds that were present at significantly higher concentrations or at more than 100 times the concentration in arugula microgreens grown in EARTI ™  vs. those bought at local grocery stores (Table 2). It is important to note that untargeted metabolomics analysis does not tell the absolute concentrations of chemical compounds. Rather it tells the relative amounts of a particular compound in different samples. Therefore, a chemical compound may be present at very different concentrations in different samples but the concentrations may be too low to have any effects on human health. In addition, a chemical compound may be present at very different concentrations in different samples but those concentrations may have similar effects on human health. In order to link relative concentrations to human health, it would be necessary to conduct additional, quantitative, targeted chemical analyses. Nevertheless, most dipeptides that differed in concentration between EARTI ™  and commercial samples were higher in EARTI ™  samples. Higher dipeptide content in plants is considered beneficial from a health perspective as they are readily absorbed by the body compared to proteins and possess various health promoting properties.  

Table 2: Potential effects of compounds elevated in EARTI ™  arugula microgreen samples vs. those bought in local grocery stores.  

Name  

Potential effects on human health  

Arachidonoyl Serinol  

Neuroprotective, Improves motor function, Vasodilation of abdominal aorta.  

Histidine  

Improves cognitive function, growth& repair of damaged tissue, precursor of carnosine for human muscle and parts of brain, proton buffering, and histaminergic reactions  

5-Mercapto-2-pentanone  

Potentially hazardous material causes irritation of skin and respiratory tract.  

Indole lactic acid  

Anti-inflammatory, maintains healthy gut,  protects intestinal inflammation cancer prevention  

3-(Butyl sulfinyl)alanine  

Strong Antioxidant Properties  

Alanine-Methionine  

Improves protein synthesis, strong antioxidants, modifies DNA, energy production, improves exercise performance, strengthens the immune system.  

Tryptophan-Phenylalanine  

Mood regulation, improves cognitive function, improves sleep quality, reduces stress.  

Epsilon-(Hexanoyl)lysine  

Very new oxidative stress marker  

Valine-Methionine  

Helps muscle growth, Tissue repair, Over all metabolic function, energy production, emotional stability, liver protection.  

Sulfate  

Liver protection, helps in digestion, building proteins, detoxification of body.  

Glycyclamide  

Strong antihyperglycemic activity  

Alanyl leucine  

Promotes muscle growth and repair, ,blood sugar regulation and Cognitive function.  

Phenylalanyl phenylalanine  

Helps with mood, pain and skin conditions, protein synthesis, Risk: Phenylketonuria  

6-Hydroxymelatonin  

Potential antioxidant properties, anti-inflammatory and neuroprotective properties, sleep regulator.  

Sulforaphane-glutathione      

Precursor of glutathione, cancer prevention, anti-inflammatory, detoxification, helps with hormonal imbalance.  

Methionyl leucine  

Helps with tissue growth, muscle repair, improves liver damage, mineral absorption, immune system boosts up and wound healing.  

N-Glutamyl cysteine ethyl ester  

Precursor for glutathione, crucial antioxidant, supports liver health, improves brain function, neuroprotective.  

2,3dihydroxypropyl nonadeconate  

Treating obesity related diseases, diabetes and inflammation.  

N-butylbenzenesulphonamide  

Bacteriostatic antimicrobials  

p-methoxybenzyl isothiocyanate  

Anti-inflammatory, antioxidant anticancer properties, generally found in cruciferous plants.  

  

 

5 

  

  

    

  

  

  

  

    

  

1. Sample Information  

  

5 plant samples for untargeted metabolomics analysis in the collected samples by UPLC-MS.  

  

2.   Materials and Methods 

  

2.1 Instruments and reagents  

  

Vanquish Flex UPLC combined with Q Exactive plus MS (Thermo)  

ACQUITY UPLC HSS T3 (100×2.1 mm×1.8 μm)  

Temp functional Centrifugation (Eppendorf)   

Acetonitrile (Merck)  

Methanol (Merck)   

Formic acid (Merck)  

  

2.2 Sample preparation  

  

All samples were thawed and lyophilized, weigh about 100 mg of each sample and 800 μL 80% methanol, two 5-mm metal balls into tube. All samples were ground 180 s at 65 Hz, twice, followed by sonication for 30 min, 4°C. Then each sample was kept at -20°C for 1 h, vortexed for 30 s, and centrifuge 10 min at 12,000 rpm, 4°C. Finally, transfer 200 μL of supernatant and add 5 μL of 0.14 mg/mL DL-o-Chlorophenylalanine into vial, filtered through a 0.22 μm filter for LC-MS analysis.  

  

3.   LC-MS Methods 

  

Separation is performed by Vanquish Flex UPLC combined with Q Exactive plus (Thermo) which is equipped with a heated ESI source. A waters T3 column (100×2.1 mm×1.8 μm) was used for LC separation and the mobile phase is composed of solvent A (0.05% formic acid water) and solvent B (acetonitrile) with a gradient elution (0-1 min, 5% B; 1-12.5 min, 5%-95% B; 12.5-13.5 min, 95% B; 13.5-13.6 min, 95%-5% B; 13.6-16 min, 5% B). The flow rate of the mobile phase is 0.3 mL/min. The column temperature is maintained at 40°C, and the sample manager temperature is set at 4°C.   

Mass spectrometry parameters in ESI+ and ESI- mode are listed as follows:  

ESI+: Heater Temp 300°C; Sheath Gas Flow rate, 45 arb; Aux Gas Flow Rate, 15 arb; Sweep Gas Flow Rate, 1 arb; spray voltage, 3.0 KV; Capillary Temp, 350°C; S-Lens RF Level, 30%.  

ESI-: Heater Temp 300°C, Sheath Gas Flow rate, 45 arb; Aux Gas Flow Rate, 15 arb; Sweep Gas Flow Rate, 1 arb; spray voltage, 3.2 KV; Capillary Temp,350°C; S-Lens RF Level,60%.  

  

 

  

The results are shown in the excel sheet.