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Analytical Methods

Comprehensive methodological details on phytochemical analysis of Ilex guayusa

Ilex guayusa

Scientific name of the Guayusa plant. First described in 1901 by Theodor Loesener. Synonyms: Ilex guayusa var. macrophylla.

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for professionals

Quick summary
Key points at a glance:
  • Overview
  • Sample Preparation
  • HPLC

    HPLC

    High-Performance Liquid Chromatography - standard method for quantitative analysis of polyphenols and alkaloids in Guayusa. Typical method: C18 column, acetonitrile gradient, UV detection at 280 nm.

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    Methods
  • LC-MS/MS

    LC-MS/MS

    Liquid Chromatography-Tandem Mass Spectrometry - highly sensitive method for identification and quantification of secondary metabolites. Used for saponin and polyphenol analysis in Guayusa.

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    Methods
  • GC-MS

    GC-MS

    Gas Chromatography-Mass Spectrometry - analytical method for identifying volatile compounds. Used for analyzing aroma substances in Guayusa.

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    for Volatile Compounds

This page is intended for scientists, analysts and professionals. It contains detailed methodological information on the analysis of guayusa constituents.

Overview of Analytical Methods

The phytochemical characterization of Ilex guayusa requires a combination of different analytical techniques. The choice of method depends on the target compound, the matrix, and the required sensitivity.

MethodTarget CompoundsLODAnalysis TimeCost
HPLC-DADPolyphenols, Caffeine0.1-1 μg/mL30-60 min€€
HPLC-DAD-ESI/MSnPolyphenols (Structural Elucidation)0.01-0.1 μg/mL45-90 min€€€
LC-MS/MS (QqQ)Alkaloids, Saponins0.001-0.01 μg/mL15-30 min€€€€
GC-MSVolatile Compounds0.01-0.1 ng/mL30-45 min€€€
UV-Vis SpectroscopyTotal Polyphenols (TPC)1-10 μg/mL5-10 min€
NMRStructural Elucidation1-10 mg1-4 h€€€€€

Sample Preparation

Sample preparation is critical for reproducible and accurate results. Guayusa leaves contain high concentrations of Polyphenols, which are sensitive to oxidation.

Standard Protocol for Polyphenol Analysis (García-Ruiz et al. 2017)

Materials

  • Freeze-dried guayusa leaves (ground, <0.5 mm)
  • Extraction solvent: Methanol/water (70:30, v/v) + 1% formic acid
  • 0.45 μm PVDF filter (Millex HV13, Millipore)
  • Ultrasonic bath (40 kHz)
  • Centrifuge (9,500 × g)

Protocol

  1. Weighing: 100 mg freeze-dried powder in 15 mL Falcon tube
  2. Extraction 1: Add 1 mL extraction solution, vortex (30 s)
  3. Ultrasound 1: 60 min at room temperature in ultrasonic bath
  4. Incubation: Overnight at 4°C
  5. Ultrasound 2: Again 60 min in ultrasonic bath
  6. Centrifugation: 9,500 × g, 5 min, room temperature
  7. Filtration: Supernatant through 0.45 μm PVDF filter
  8. Storage: At 4°C in the dark, max. 48 h before analysis

Recovery Rates

Compound ClassRecovery (%)RSD (%)
Chlorogenic Acids94.2 ± 3.13.3
Flavonols91.8 ± 4.24.6
Catechins88.5 ± 5.15.8
Caffeine98.7 ± 1.21.2

Carotenoid Extraction (Stinco et al. 2016)

Protocol

  1. Weighing: 10 mg freeze-dried powder
  2. Extraction 2: 500 μL hexane/acetone, vortex, centrifuge
  3. Extraction 1: 1 mL hexane/acetone (1:1, v/v), vortex, centrifuge (18,000 × g, 3 min)
  4. Water removal: 1 mL MilliQ water, vortex, centrifuge (18,000 × g, 3 min), discard
  5. Pooling: Combine organic phases
  6. Saponification: Methanolic KOH (30 g/100 mL), 1 h at RT in the dark
  7. Washing: With water until pH neutral
  8. Evaporation: Vacuum concentrator, <30°C
  9. Dissolution: In 100 μL ethyl acetate
  10. Storage: Under N₂ at -20°C

Critical Factors

  • Oxidation: Polyphenols oxidize quickly → formic acid as antioxidant, storage at 4°C in the dark
  • Light: Carotenoids are photolabile → work in dim light, amber glass
  • Temperature: Enzymes can degrade Polyphenols → freeze-drying or immediate extraction
  • pH value: Affects stability and extraction → pH 2-3 optimal for Polyphenols

HPLC Methods

HPLC-DAD für Quantifizierung

High Performance Liquid Chromatography with Diode Array Detector High Performance Liquid Chromatography with Diode Array Detector is the standard method for quantification of Polyphenols and Caffeine.

Instrument Setup (García-Ruiz et al. 2017)

  • System: Agilent 1220 Infinity LC
  • Pump: Binary gradient pump
  • Autosampler: Injection volume 20 μL
  • Column oven: 30°C
  • Detector: DAD, 200-600 nm

Chromatographic Conditions

ParameterValue
ColumnLuna C18 (25 cm × 4.6 mm, 5 μm, Phenomenex)
Guard ColumnC18, 4 × 3 mm
Mobile Phase AWater + 0.1% Formic Acid
Mobile Phase BMethanol + 0.1% Formic Acid
Flow Rate1.0 mL/min
Injection Volume20 μL
Column Temperature30°C
Run Time60 min

Gradient Program

Time (min)%A (Water)%B (Methanol)
0955
59010
158020
257030
356040
454060
502080
55595
60955

Detection Wavelengths

Compound Classλmax (nm)Quantification at
Hydroxycinnamic acids (chlorogenic acids)325330 nm
Flavonols (Quercetin, Kaempferol)365360 nm
Catechins280280 nm
Caffeine272272 nm
Anthocyanins (if present)520520 nm

Calibration

External calibration with standard substances:

StandardConcentration Range (μg/mL)R²Linearity
Chlorogenic acid (5-CQA)1-1000.9998Excellent
Rutin (Quercetin-3-O-rutinoside)0.5-500.9996Excellent
Epicatechin0.5-500.9992Excellent
Caffeine5-5000.9999Excellent

HPLC-DAD-ESI/MSn für Strukturaufklärung

Coupling of HPLC with mass spectrometry enables the identification of unknown compounds through fragmentation patterns.

MS Parameters (García-Ruiz et al. 2017)

ParameterValue
Mass spectrometerAgilent Ion Trap (G2445A)
IonizationElectrospray (ESI)
ModeNegative ionization
Capillary temperature350°C
Capillary voltage4 kV
Nebulizer pressure65 psi
N₂ flow rate11 L/min
Scan rangem/z 100-1200
Collision gasHelium
Collision energy0.3-2.0 V (ramping)

Example: Identification of Quercetin-3-O-hexoside

  • Retention time: 32.4 min
  • UV spectrum: λmax 256, 355 nm (typical for flavonol)
  • [M-H]⁻: m/z 463
  • MS² (463): m/z 301 [M-H-162]⁻ (loss of hexose)
  • MS³ (301): m/z 179, 151 (typical Quercetin fragmentation pattern)
  • Identification: Quercetin-3-O-glucoside or -galactoside

Characteristic Fragmentations

Compound ClassCharacteristic Neutral LossesTypical Fragments
Chlorogenic Acids-162 (quinic acid), -176 (caffeoylquinic acid)m/z 191 (quinic acid), 179 (caffeic acid)
Quercetin Glycosides-162 (Hexose), -146 (Rhamnose), -308 (Rutinoside)m/z 301 (Quercetin Aglycone)
Kaempferol Glycosides-162 (Hexose), -146 (Rhamnose)m/z 285 (Kaempferol Aglycone)
Catechins-152 (Gallate)m/z 289 (Epicatechin), 139 (Gallic acid)

LC-MS/MS Methods (Triple Quadrupole)

For highly sensitive quantification of Alkaloids and Saponins, LC-MS/MS with triple quadrupole mass spectrometers in Multiple Reaction Monitoring (MRM) mode is used.

Caffeine Quantification (Krieger et al. 2016)

LC Parameters

ParameterValue
ColumnAcquity UPLC BEH C18 (50 mm × 2.1 mm, 1.7 μm)
Mobile Phase A0.1% formic acid in water
Mobile Phase B0.1% formic acid in acetonitrile
Flow Rate0.4 mL/min
Injection Volume5 μL
Run Time5 min

MS/MS Parameters (MRM Mode)

AnalytePrecursor Ion (m/z)Product Ion (m/z)Collision Energy (eV)LOQ (ng/mL)
Caffeine195.1 [M+H]⁺138.1 (Quantifier)205
Caffeine195.1 [M+H]⁺110.1 (Qualifier)25-
Theobromine181.1 [M+H]⁺138.11810
Paraxanthine (IS)181.1 [M+H]⁺124.122-

Method Validation

ParameterCaffeineTheobromine
Linearity (R²)0.99980.9995
LOD (ng/mL)1.53.0
LOQ (ng/mL)5.010.0
Intra-day Precision (RSD%)2.84.1
Inter-day Precision (RSD%)4.25.9
Recovery (%)97.3 ± 3.194.8 ± 4.5
Matrix Effect (%)-8.2-12.5

Saponin Analysis (Chianese et al. 2019)

Triterpene Saponins require special ionization conditions and fragmentation strategies.

MRM Transitions for Ilex Saponins

Saponin[M-H]⁻ (m/z)Main Fragment (m/z)CE (eV)
Ilexsaponin A927.5455.3 (Aglycone)35
Ilexsaponin B911.5455.3 (Aglycone)35
Ursolic acid455.3407.3 [M-H-CO₂]⁻25
Oleanolic acid455.3407.3 [M-H-CO₂]⁻25

GC-MS for Volatile Compounds

Gas chromatography-mass spectrometry is used for the analysis of volatile aroma components in Guayusa.

Headspace-SPME-GC-MS

SPME Conditions

  • Fiber: DVB/CAR/PDMS (50/30 μm, Supelco)
  • Sample temperature: 60°C
  • Extraction time: 30 min
  • Desorption: 250°C, 3 min in GC injector

GC-MS Parameters

ParameterValue
ColumnDB-5MS (30 m × 0.25 mm, 0.25 μm)
Carrier GasHelium, 1.0 mL/min (constant)
Injector Temperature250°C
Injection ModeSplitless
Oven Program40°C (3 min) → 5°C/min → 250°C (5 min)
Transfer Line280°C
Ion SourceEI, 70 eV, 230°C
Scan rangem/z 35-350

Identified Volatile Compounds

CompoundRT (min)Relative Abundance (%)Odor Note
Linalool18.312.4Floral, citrus-like
α-Terpineol19.78.2Lilac, woody
Geraniol21.26.5Rose-like
β-Ionone28.45.1Violet, woody
Hexanal8.94.8Grassy, green
(E)-2-Hexenal10.23.9Green, leafy

Spectroscopic Methods

UV-Vis Spectrophotometry

Folin-Ciocalteu Method (Total Phenolic Content)

Kolorimetrische Bestimmung des Gesamtpolyphenolgehalts.

Protocol
  1. 0.5 mL extract (or standard) in 15 mL tube
  2. Add 2.5 mL Folin-Ciocalteu reagent (diluted 1:10)
  3. Incubate 2 min at RT
  4. Add 2 mL Na₂CO₃ solution (75 g/L), mix
  5. Incubate 15 min at 50°C
  6. Cool to RT
  7. Measure absorbance at 750 nm
Calibration
  • Standard: Gallic acid
  • Concentration range: 10-90 mg/L
  • Linearity (R²): 0.9997
  • Result: mg gallic acid equivalents (GAE) / g dry weight

NMR Spectroscopy

Nuclear magnetic resonance spectroscopy for structural elucidation of isolated compounds.

Standard Conditions

Parameter¹H-NMR¹³C-NMR
Frequency600 MHz150 MHz
SolventCD₃OD, DMSO-d₆CD₃OD, DMSO-d₆
Temperature25°C25°C
Sample Amount1-5 mg5-20 mg
Measurement Time10-30 min2-8 h

2D-NMR Techniques

  • COSY: ¹H-¹H correlations
  • HSQC: ¹H-¹³C correlations (1 bond)
  • HMBC: ¹H-¹³C correlations (2-3 bonds)
  • NOESY: Spatial proximity of protons

Antioxidant Capacity

ORAC (Oxygen Radical Absorbance Capacity)

Fluorescence-based method for measuring antioxidant capacity.

Protocol (96-Well Microplate)

  1. Prepare Reagents:
    • Fluorescein: 1 μM in Phosphatpuffer (pH 7,4)
    • AAPH: 250 mM in phosphate buffer
    • Trolox standards: 10-200 μM
  2. Pipetting Scheme:
    • 150 μL Fluorescein in jedes Well
    • 25 μL sample/standard/blank
    • Incubation 15 min at 37°C
    • Add 25 μL AAPH (start of reaction)
  3. Measurement:
    • Fluoreszenz alle 2 min für 120 min
    • Excitation: 485 nm, Emission: 520 nm
    • Temperature: 37°C
  4. Calculation:
    • AUC (Area Under Curve) für jede Probe
    • Net AUC = AUC_sample - AUC_blank
    • Result: μmol Trolox equivalents / g

Typical ORAC Values

SampleORAC (μmol TE/g DW)
Guayusa (fresh)127.8 ± 8.3
Guayusa (fermented)101.2 ± 7.1
Green Tea80-100
Yerba Mate90-120

DPPH assay

Schnelle spektrophotometrische Methode.

Microplate Protocol

  1. 250 μL DPPH solution (in methanol) in each well
  2. Add 2 μL sample/standard
  3. Incubate 50 min at RT in the dark
  4. Measure absorbance at 515 nm
  5. Calculation: % inhibition = [(A_blank - A_sample) / A_blank] × 100

FRAP (Ferric Reducing Antioxidant Power)

Misst die Reduktionskraft von Antioxidantien.

FRAP Reagent

  • Acetate buffer (300 mM, pH 3.6): 25 mL
  • TPTZ (10 mM in 40 mM HCl): 2.5 mL
  • FeCl₃·6H₂O (20 mM): 2.5 mL
  • Mix fresh before use, warm to 37°C

Procedure

  1. 10 μL sample + 300 μL FRAP reagent
  2. Incubate 4 min at 37°C
  3. Measure absorbance at 593 nm
  4. Calibration with FeSO₄ (100-1000 μM)
  5. Result: μmol Fe²⁺ equivalents / g

Method Validation

Validierung analytischer Methoden nach ICH Q2(R1) Richtlinien.

Validation Parameters

1. Specificity/Selectivity

  • Proof that the method measures only the target analyte
  • No interferences from matrix or other compounds
  • Test: Analysis of blank, standard, sample; check peak purity

2. Linearity

CriterionRequirementGuayusa Methods
Correlation Coefficient (R²)≥ 0.9950.9992-0.9999
Number of Calibration Points≥ 56-8
Concentration Range80-120% of target concentration50-150%
ResidualsRandomly distributed✓

3. Precision

TypeConditionsRSD RequirementGuayusa Data
RepeatabilitySame day, same analyst< 5%1.2-4.6%
Intermediate PrecisionDifferent days< 10%3.3-5.9%
ReproducibilityDifferent laboratories< 15%Not tested

4. Accuracy

  • Recovery: 90-110% (for major components)
  • Method: Spike-recovery experiments
  • Guayusa data: 88.5-98.7%

5. Limit of Detection and Quantification

ParameterDefinitionCalculation
LOD (Limit of Detection)Lowest detectable amount3.3 × σ / S
LOQ (Limit of Quantification)Lowest quantifiable amount10 × σ / S

σ = standard deviation of response, S = slope of calibration curve

6. Robustness

Insensitivity of the method to small variations:

  • pH of mobile phase (±0.2)
  • Flow rate (±10%)
  • Column temperature (±5°C)
  • Wavelength (±2 nm)
  • Different columns (same type, different batches)

7. Stability

Stability TypeConditionsGuayusa Results
Autosampler Stability4°C, 48 hStable (<5% degradation)
Bench-top StabilityRT, 6 hPolyphenols: -8%, Caffeine: stable
Freeze-Thaw Stability3 cyclesStable (<10% degradation)
Long-term Stability-20°C, 6 monthsStable (<10% degradation)

Quality Control

Ensuring data quality through systematic QC measures.

QC Samples

QC TypeConcentrationFrequencyAcceptance Criterion
Blank0Each sequence (start)No peaks at analyte RT
LLOQ (Lower LOQ)LOQEach sequence80-120% of nominal concentration
QC Low3 × LOQEvery 10 samples85-115%
QC MidMiddle of the rangeEvery 10 samples85-115%
QC High80% of upper limitEvery 10 samples85-115%

System Suitability Test (SST)

To be performed before each sequence:

ParameterRequirementCalculation
Retention time reproducibilityRSD &lt; 1%6 injections of a standard
Peak area reproducibilityRSD &lt; 2%6 injections of a standard
Resolution (Rs)&gt; 1.5Rs = 2(tR2 - tR1) / (w1 + w2)
Tailing factor (Tf)&lt; 2.0Tf = (a + b) / 2a
Theoretical plate number (N)&gt; 2000N = 16 (tR / w)²

Documentation

  • Sample preparation: Protocol with date, analyst, batch numbers
  • Instrument logbook: Maintenance, column changes, problems
  • Calibration curves: Equation, R², residual plot
  • QC charts: Levey-Jennings diagrams for trend monitoring
  • Out-of-Specification (OOS): Documentation and investigation of deviations

Reference Materials

StandardPuritySourceStorage
Caffeine≥ 99%Sigma-AldrichRT, dry
Chlorogenic acid (5-CQA)≥ 95%Sigma-Aldrich-20°C, dry
Rutin≥ 94%Sigma-Aldrich-20°C, dry
Epicatechin≥ 98%Sigma-Aldrich-20°C, dry
Trolox≥ 97%FlukaRT, dry

Latest Methods & Studies (2024–2026)

Newer work (2024–2026) mainly improved workflows and green processing: chlorogenic-acid profiling, Untargeted metabolomics, and extraction/purification techniques.

  • Methods: Chlorogenic-acid workflow (J Chromatogr A 2026, PMID: 41604851): HPLC-UV (5-CQA) + LC-MS/MS, feature-based Molecular networking, and Chemometrics.
  • Methods: Untargeted metabolomics (Food Chemistry 2026, PMID: 41643380): GC-EI-MS, 205 metabolites annotated; leaf age and light as key drivers.
  • Processing/methods: Supercritical antisolvent (Molecules 2024, PMID: 39598698): chlorogenic acids concentrated, Caffeine selectively <1% w/w; encapsulation with PVP.
  • In press: Sustainable extraction with compressed fluids (DOI: 10.1016/j.supflu.2025.106801).
  • In press: Subcritical water extraction for functional ingredients (DOI: 10.1016/j.scp.2026.102338).
Methods

Garzón, T., et al. (2026)

Integrated HPLC-UV validation and LC-MS/MS optimization with molecular networking

molecular networking

Computational approach (e.g., GNPS) that connects MS/MS spectra by similarity. This helps reveal families of related compounds and supports annotation of unknowns.

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and chemometrics

chemometrics

Application of statistical (often multivariate) methods (e.g., PCA, HCA, PLS-DA) to chemical measurement data (HPLC/LC-MS/GC-MS). Helps classify samples, identify markers, and explain why profiles differ.

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for advanced characterization of chlorogenic acids in Ilex

Ilex

Botanical genus of hollies with about 400-600 species worldwide. This genus includes Ilex guayusa, Ilex paraguariensis (Mate), and Ilex vomitoria (Yaupon).

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guayusa

PMID: 41604851. DOI: 10.1016/j.chroma.2026.466732

  • Setup: HPLC-UV validation for 5-CQA plus optimized UPLC-MS/MS (FastDDA) with post-acquisition raw-data merging; feature-based Molecular networking and Chemometrics (PCA/volcano/HCA).
  • Key findings: Target quantification achieved LOQ 0.25 mg/L and r²≈0.998 for 5-CQA. Raw-data merging increased detected features by 43%. Chemical differences were driven most by geographic location, then sunlight exposure and plant age.
  • Notes: QC implication: combine targeted markers (e.g., 5-CQA) with untargeted profiling; track origin/light/age as key metadata for comparability.
Methods

Pastuña-Fasso, J.V., et al. (2026)

Influence of plant age and sunlight exposure on the volatile profile and metabolomic pathways of Ilex guayusa leaves used in the traditional Amazonian beverage

PMID: 41643380. DOI: 10.1016/j.foodchem.2026.148238

  • Setup: Untargeted metabolomics of aqueous extracts via GC-EI-MS; identification using MZmine, MS-DIAL, eRah, and MSHub/GNPS; compared plant age and light vs shade.
  • Key findings: 205 metabolites annotated (multiple confidence levels). Phenolics were higher under light exposure while lipids predominated in shade; pathway mapping suggested shifts in phenylpropanoid biosynthesis, tyrosine metabolism, and fatty-acid degradation.
  • Notes: Supports that cultivation parameters (age, shade management) are analytically visible and should be controlled or documented for standardization.
Methods

Meneses, M.Á., et al. (2024)

Green Processing of Ilex guayusa: Antioxidant Concentration and Caffeine

Caffeine

Purine alkaloid with stimulating effects on the central nervous system. Guayusa contains 1.7-7.6% caffeine (dry weight), depending on variety, location, and processing.

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Reduction Using Encapsulation by Supercritical Antisolvent Process

PMID: 39598698. DOI: 10.3390/molecules29225309

  • Setup: Supercritical antisolvent (SAE) processing of an ethanolic extract (80–150 bar, 35–45°C) with optional co-precipitation using PVP (1:1 to 1:2 w/w).
  • Key findings: Optimized at 120 bar/45°C: chlorogenic acids concentrated (43.02 → 237 mg/g) while Caffeine was reduced to <1% w/w; PVP increased yield >2× and enabled microparticle formation (encapsulation).
  • Notes: Ingredient/processing context, not brewed tea. Relevant for analytics because such products are not directly comparable to leaf infusions and require appropriate QC markers.
In press

In press (2026)

Towards sustainable extraction of bioactive compounds

bioactive compounds

Chemical substances in plants with physiological effects on the human organism. Guayusa contains over 100 identified bioactive compounds.

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from guayusa (Ilex guayusa): A comparative study on compressed fluids’ performance

DOI: 10.1016/j.supflu.2025.106801

  • Setup: In press: comparative study on compressed fluids for sustainable extraction of Bioactive Compounds from guayusa.
  • Key findings: From the title: compares performance of compressed-fluid approaches for extraction; see paper (DOI) for process windows and metrics.
  • Notes: Without a freely available abstract, only cautious, title-based context is included here. Add details once accessible.
In press

In press (2026)

Subcritical water extraction of Ilex guayusa for regulatory-compliant neuro-metabolic functional ingredients

DOI: 10.1016/j.scp.2026.102338

  • Setup: In press: subcritical water extraction aiming at regulatory-compliant neuro-metabolic functional ingredients from guayusa.
  • Key findings: From the title: uses water under subcritical conditions as a green solvent, with a focus on regulatory compliance; see paper (DOI) for targets and parameters.
  • Notes: Without a freely available abstract, only a high-level categorization is possible. Add concrete process parameters once accessible.

Wichtige Literatur für Analytiker

  • García-Ruiz, A., et al. (2017). Guayusa (Ilex guayusa L.) new tea: phenolic and carotenoid composition and antioxidant capacity. J Sci Food Agric, 97(12), 3929-3936. [Umfassende HPLC-DAD-ESI/MSn-Methode]
  • Krieger, D.R., et al. (2016). The safety, pharmacokinetics, and nervous system effects of two natural sources of caffeine. Clin Transl Sci, 9(5), 246-251. [LC-MS/MS für Koffein-Pharmakokinetik]
  • Stinco, C.M., et al. (2016). RRLC-DAD-APCI-MS analysis of carotenoids

    carotenoids

    Fat-soluble plant pigments with antioxidant effects. Guayusa contains β-carotene (0.8-1.2 mg/100g), lutein (5.2-7.8 mg/100g), and zeaxanthin.

    More Info
    .
    Food Chem, 211, 876-883. [Carotinoid-Analytik]
  • Chianese, G., et al. (2019). Phytochemical analysis of Ilex guayusa. Il Farmaco, 74(1), 85-93. [Saponin-Charakterisierung mit NMR und MS]
  • ICH Q2(R1). (2005). Validation of Analytical Procedures: Text and Methodology. [Validation guidelines]

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