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Research article · 2025 · Full text

International Journal of Advanced Chemistry Research

Self-nanoemulsifying drug delivery system for enhancement of curcumin bioavailability

Arvind Singh

Volume 7(9) · Pages 205–208 · DOI: 10.33545/26646781.2025.v7.i9c.639 ↗

Research areasDrug Solubulity and Delivery SystemsCurcumin's Biomedical ApplicationsProteins in Food Systems

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Abstract

Author-written

Curcumin, the principal polyphenolic constituent of Curcuma longa rhizome, has been the subject of over 10,000 peer-reviewed publications documenting anti-inflammatory, anti-cancer, antioxidant, and neuroprotective activities yet its translation to clinical efficacy has been consistently impeded by exceptionally poor oral bioavailability, estimated at less than 1% in humans due to low aqueous solubility (11 ng/mL at pH 7.4), rapid intestinal metabolism (curcumin is a substrate for glucuronidase and sulfotransferase producing inactive conjugates), and rapid systemic elimination. Self-nanoemulsifying drug delivery systems (SNEDDS) address these barriers simultaneously by pre-dissolving curcumin in a thermodynamically stable oil-surfactant-cosurfactant mixture that spontaneously emulsifies upon contact with gastrointestinal fluids, producing nanodroplets of 30-200 nm that substantially increase the solubilised drug fraction available for mucosal absorption. The present research developed and optimised SNEDDS formulations for curcumin using a systematic pseudo-ternary phase diagram approach, screening oils (Miglyol 812, Capmul MCM, olive oil), surfactants (Cremophor EL, Tween 80, Labrasol), and cosurfactants (PEG 400, Transcutol P) at varying surfactant/cosurfactant mass ratios (Smix 1:1, 2:1, 3:1). The optimal formulation SNEDDS-F3 (Miglyol 812: Cremophor EL: Transcutol P, 20:53.3:26.7% w/w, curcumin loading 40 mg/mL) produced droplets of 38.4 ± 2.1 nm (PDI 0.094), 94.7% drug release in 2 h at pH 6.8, and encapsulation efficiency of 98.4%. In Wistar rat pharmacokinetic research, SNEDDS-F3 achieved AUC₀₋₂₄ of 1284.7 ± 84.3 ng·h/mL and Cmax of 187.3 ± 21.4 ng/mL improvements of 10.3-fold and 10.2-fold versus free curcumin suspension, and 4.1-fold versus a commercially marketed curcumin suspension. These results establish SNEDDS as an effective and scalable formulation approach to clinically meaningful curcumin bioavailability enhancement.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Curcumin, found in Curcuma longa rhizome, is widely studied for its antioxidant, anti-cancer, anti-inflammatory, and neuroprotective properties. View evidence ↗

      Why it matters

      Curcumin, found in Curcuma longa rhizome, is widely studied for its antioxidant, anti-cancer, anti-inflammatory, and neuroprotective properties.

      In the paper's own words

      “Curcumin, the principal polyphenolic constituent of Curcuma longa rhizome, has been the subject of over 10,000 peer-reviewed publications documenting anti-inflammatory, anti-cancer, antioxidant, and neuroprotective activities”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • The clinical use of curcumin is limited by very low oral bioavailability (under 1% in humans), caused by poor solubility in water, fast systemic elimination, and rapid metabolism in the intestines. View evidence ↗

      Why it matters

      The clinical use of curcumin is limited by very low oral bioavailability (under 1% in humans), caused by poor solubility in water, fast systemic elimination, and rapid metabolism in the intestines.

      In the paper's own words

      “its translation to clinical efficacy has been consistently impeded by exceptionally poor oral bioavailability, estimated at less than 1% in humans due to low aqueous solubility (11 ng/mL at pH 7.4), rapid intestinal metabolism (curcumin is a substrate for glucuronidase and sulfotransferase producing inactive conjugates), and rapid systemic elimination.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Self-nanoemulsifying drug delivery systems (SNEDDS) can overcome these barriers by creating nanodroplets (30-200 nm) upon contact with GI fluids, which increases the amount of drug available for absorption. View evidence ↗

      Why it matters

      Self-nanoemulsifying drug delivery systems (SNEDDS) can overcome these barriers by creating nanodroplets (30-200 nm) upon contact with GI fluids, which increases the amount of drug available for absorption.

      In the paper's own words

      “Self-nanoemulsifying drug delivery systems (SNEDDS) address these barriers simultaneously by pre-dissolving curcumin in a thermodynamically stable oil-surfactant-cosurfactant mixture that spontaneously emulsifies upon contact with gastrointestinal fluids, producing nanodroplets of 30-200 nm that substantially increase the solubilised drug fraction available for mucosal absorption.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to develop and optimize SNEDDS formulations for curcumin by screening various oils, surfactants, and cosurfactants using pseudo-ternary phase diagrams. View evidence ↗

      The question

      The study aimed to develop and optimize SNEDDS formulations for curcumin by screening various oils, surfactants, and cosurfactants using pseudo-ternary phase diagrams.

      In the paper's own words

      “The present research developed and optimised SNEDDS formulations for curcumin using a systematic pseudo-ternary phase diagram approach, screening oils (Miglyol 812, Capmul MCM, olive oil), surfactants (Cremophor EL, Tween 80, Labrasol), and cosurfactants (PEG 400, Transcutol P) at varying surfactant/cosurfactant mass ratios (Smix 1:1, 2:1, 3:1).”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • The research was carried out at the Bose National Centre for Advanced Studies in Bangalore, India, between September 2023 and March 2025. View evidence ↗

      What they did

      The research was carried out at the Bose National Centre for Advanced Studies in Bangalore, India, between September 2023 and March 2025.

      In the paper's own words

      “Research was conducted at the Department of Clinical and Pharmaceutical Chemistry, Bose National Centre for Advanced Studies, Bangalore, Karnataka, India, from September 2023 to March 2025.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • Curcumin was loaded into the oil phase at a concentration of 40 mg/mL using gentle heating and vortex mixing. View evidence ↗

      What they did

      Curcumin was loaded into the oil phase at a concentration of 40 mg/mL using gentle heating and vortex mixing.

      In the paper's own words

      “curcumin was dissolved in the oil phase at 40 mg/mL by vortex mixing and gentle heating to 37°C.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Pharmacokinetic testing involved giving a single 100 mg/kg oral dose to fasted Wistar rats (n=6 per group) and measuring plasma concentrations via HPLC-UV over 24 hours. View evidence ↗

      What they did

      Pharmacokinetic testing involved giving a single 100 mg/kg oral dose to fasted Wistar rats (n=6 per group) and measuring plasma concentrations via HPLC-UV over 24 hours.

      In the paper's own words

      “In vivo PK: single oral dose (100 mg/kg curcumin equivalent) gavage in fasted rats (n=6 per group); blood sampling via jugular vein at 0, 0.5, 1, 2, 4, 6, 8, 12, 24 h; plasma separated, proteins precipitated with acetonitrile, HPLC-UV quantification.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • The optimal formulation (SNEDDS-F3) achieved a droplet size of 38.4 ± 2.1 nm, a PDI of 0.094, 98.4% encapsulation efficiency, and 94.7% drug release within 2 hours. View evidence ↗

      What they found

      The optimal formulation (SNEDDS-F3) achieved a droplet size of 38.4 ± 2.1 nm, a PDI of 0.094, 98.4% encapsulation efficiency, and 94.7% drug release within 2 hours.

      In the paper's own words

      “The optimal formulation SNEDDS-F3 (Miglyol 812: Cremophor EL: Transcutol P, 20:53.3:26.7% w/w, curcumin loading 40 mg/mL) produced droplets of 38.4 ± 2.1 nm (PDI 0.094), 94.7% drug release in 2 h at pH 6.8, and encapsulation efficiency of 98.4%.”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • SNEDDS-F3 increased the AUC₀₋₂₄ (1284.7 ± 84.3 ng·h/mL) and Cmax (187.3 ± 21.4 ng/mL) by 10.3-fold and 10.2-fold respectively compared to free curcumin, and 4.1-fold compared to a marketed suspension. View evidence ↗

      What they found

      SNEDDS-F3 increased the AUC₀₋₂₄ (1284.7 ± 84.3 ng·h/mL) and Cmax (187.3 ± 21.4 ng/mL) by 10.3-fold and 10.2-fold respectively compared to free curcumin, and 4.1-fold compared to a marketed suspension.

      In the paper's own words

      “SNEDDS-F3 achieved AUC₀₋₂₄ of 1284.7 ± 84.3 ng·h/mL and Cmax of 187.3 ± 21.4 ng/mL improvements of 10.3-fold and 10.2-fold versus free curcumin suspension, and 4.1-fold versus a commercially marketed curcumin suspension.”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • The time to reach maximum plasma concentration (Tmax) was reduced to 0.5 hours for SNEDDS-F3 compared to 2.0 hours for the free drug, indicating faster absorption. View evidence ↗

      What they found

      The time to reach maximum plasma concentration (Tmax) was reduced to 0.5 hours for SNEDDS-F3 compared to 2.0 hours for the free drug, indicating faster absorption.

      In the paper's own words

      “The shortened Tmax (0.5 h vs 2.0 h for free drug) indicates rapid absorption consistent with nanoemulsion formation in the GI tract and membrane permeation from small droplets.”

      Page 3

      Found in: Methods

      Read it in the full textOpen PDF at page 3 ↗
    • A strong negative correlation (r² = 0.972) was found between droplet size and drug release, meaning smaller droplets increase the surface area and speed up drug release. View evidence ↗

      What they found

      A strong negative correlation (r² = 0.972) was found between droplet size and drug release, meaning smaller droplets increase the surface area and speed up drug release.

      In the paper's own words

      “strong negative correlation between droplet size and drug release (r² = 0.972) confirms that smaller droplets, by providing larger total surface area, accelerate drug partitioning into the aqueous dissolution medium.”

      Page 3

      Found in: Introduction

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors conclude that the HLB-optimized SNEDDS using a 2:1 ratio of Cremophor EL and Transcutol P provides a clinically meaningful increase in bioavailability, making it suitable for further clinical trials. View evidence ↗

      What it means

      The authors conclude that the HLB-optimized SNEDDS using a 2:1 ratio of Cremophor EL and Transcutol P provides a clinically meaningful increase in bioavailability, making it suitable for further clinical trials.

      In the paper's own words

      “These results demonstrate that HLB-optimised SNEDDS with Cremophor EL/Transcutol P Smix 2:1 achieves clinically meaningful curcumin bioavailability enhancement suitable for further clinical evaluation.”

      Page 4

      Found in: Discussion

      Read it in the full textOpen PDF at page 4 ↗
    • The authors state that SNEDDS-F3 has high potential for commercial scale-up because it uses GRAS-listed excipients and a simple manufacturing process. View evidence ↗

      What it means

      The authors state that SNEDDS-F3 has high potential for commercial scale-up because it uses GRAS-listed excipients and a simple manufacturing process.

      In the paper's own words

      “The commercial scale-up potential of SNEDDS-F3 is favourable: all excipients are GRAS-listed and present in approved drug products; the preparation involves only mixing and dissolution steps with no heating or pressure”

      Page 4

      Found in: Discussion

      Read it in the full textOpen PDF at page 4 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (Curcumin molecules within a nanoemulsion of oil and surfactants in an aqueous environment). It explains the idea and does not show study data.↗ Enlarge
Mechanism of SNEDDS
AI-generated conceptual illustration (Curcumin molecules within a nanoemulsion of oil and surfactants in an aqueous environment). It explains the idea and does not show study data.

AI-generated conceptual illustration (Curcumin molecules within a nanoemulsion of oil and surfactants in an aqueous environment). It explains the idea and does not show study data.

Open full-size image ↗

Mechanism of SNEDDS

AI-generated conceptual illustration (Curcumin molecules within a nanoemulsion of oil and surfactants in an aqueous environment). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
SNEDDS-F1: Droplet size (nm) vs EE (%) vs Drug release 2h (%)
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

SNEDDS-F1: Droplet size (nm) vs EE (%) vs Drug release 2h (%)

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
SNEDDS-F2: Droplet size (nm) vs EE (%) vs Drug release 2h (%)
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

SNEDDS-F2: Droplet size (nm) vs EE (%) vs Drug release 2h (%)

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Physicochemical characterisation of six SNEDDS formulations (F1-F6)Table 1Page 2Pharmacokinetic parameters of curcumin after oral administration to Wistar rats (n=6)Table 2Page 3(Left) Scatter plot of droplet size vs HLB for 60 SNEDDS formulations (colour = PDI); (Right) Violin plots of AUC₀₋₂₄ comparingFigure 1Page 3(Left) Scatter plot of droplet size vs 2h drug release with log-linear regression (r²=0.972); (Right) Box+strip plot of Cmax distributionsFigure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Curcumin's clinical development history exemplifies the challenges of natural product drug development: despite consistently impressive in vitro and animal model activity across a remarkable range of pharmacological targets including NF-κB inhibition, COX-2 downregulation, Nrf2 activation, and inhibition of amyloid-β aggregation controlled clinical trials have largely failed to demonstrate efficacy at oral doses achievable in human subjects [1] . The fundamental problem is that the curcumin plasma concentrations required for target modulation (typically 1-10 µM, based on in vitro EC₅₀ values) are essentially unachievable with conventional oral formulations: a 1 g oral dose of curcumin powder produces peak plasma concentrations of 0.01-0.1 µM in humans. This 100-1000-fold bioavailability gap between in vitro effective concentrations and clinically achievable plasma levels must be bridged by formulation innovation [2] . SNEDDS are isotropic mixtures of oil, surfactant, and cosurfactant that spontaneously form oil-in-water nanoemulsions upon dilution with aqueous media under mild agitation, mimicking the physiological conditions of the gastrointestinal tract. The nanoemulsification process is driven by the ultralow interfacial tension (< 0.1 mN/m) created by the surfactant system, requiring no external energy input beyond normal GI motility [3] . For lipophilic drugs like curcumin (log P = 3.29), SNEDDS provide multiple bioavailability-enhancing mechanisms: increased dissolution rate (Noyes-Whitney equation predicts dissolution rate proportional to surface area, which increases by 10⁶-fold from a 1 mm particle to 50 nm droplets), inhibition of intestinal P-glycoprotein efflux by polysorbate surfactants that reduce first-pass loss, promotion of lymphatic absorption bypassing portal first-pass hepatic metabolism, and increased membrane fluidity enhancing transcellular uptake [4] . The systematic optimisation of SNEDDS formulations requires identification of the self-emulsification region in pseudo-ternary phase diagrams the compositional space where spontaneous nanoemulsification occurs followed by d-optimal mixture design or Box-Behnken design within this region to identify the global optimum for droplet size, PDI, and drug loading. This research applied both methodologies to curcumin SNEDDS development at the Bose National Centre for Advanced Studies, Bangalore, Karnataka, India, from September 2023 to March 2025.

Theoretical background

The Hydrophilic-Lipophilic Balance (HLB) system provides a predictive framework for surfactant selection in SNEDDS: oil-in-water emulsions are stabilised by surfactants with HLB 8-18, and the required HLB (HLBₒᵢₗ) of the surfactant system is characteristic of each oil phase. When a surfactant blend is used, the blend HLB is calculated as the weightaverage: HLB blend = (w₁HLB₁ + w₂HLB₂)/(w₁+w₂). Optimal SNEDDS typically form when HLB blend matches HLBₒᵢₗ within ±1 unit [5] . Droplet size in spontaneously formed nanoemulsions is governed by the balance between the work of emulsification (proportional to interfacial tension γ) and the viscous resistance of the continuous phase: d₅₀ ≈ (γ/We)^(3/5), where We is the Weber number. Minimising γ achieved at the optimal HLB is therefore the primary design objective. For in vivo pharmacokinetic analysis in rats, noncompartmental analysis (NCA) is applied to the plasma concentration-time profile to calculate AUC₀₋₂₄ (linear trapezoidal rule), C max (observed maximum), T max (time to C max ), elimination half-life t½ (from the terminal log-linear phase), and relative bioavailability F rel = AUC(SNEDDS)/AUC (free drug) × 100%. These parameters, particularly AUC₀₋₂₄ and C max , provide the primary evidence base for claiming bioavailability enhancement [6] .

Material and Methods

Material and Methods

Material

Material

Methods

Pseudo-ternary phase diagrams were constructed by the water titration method at each S mix ratio (1:1, 2:1, 3:1) with Miglyol 812 as the oil phase. The self-emulsification region was mapped by visual assessment (clear or slightly bluish dispersion = nanoemulsion; milky = coarse emulsion; phase separation = no emulsification). Formulation preparation: curcumin was dissolved in the oil phase at 40 mg/mL by vortex mixing and gentle heating to 37°C. Surfactant mixture (S mix ) was blended with oil: S mix ratios of 1:9, 2:8, 3:7, 4:6 within the nanoemulsion region. Droplet size and PDI: 1:200 dilution in deionised water, DLS at 25°C (five measurements per formulation). Drug content: HPLC of diluted formulation after centrifugation (18,000 rpm, 20 min). In vitro drug release: USP Dissolution Apparatus II (paddle, 75 rpm) in 500 mL pH 6.8 phosphate buffer + 0.5% Tween 80 (sink conditions), 37°C; sample at 15, 30, 60, 90, 120 min; HPLC quantification. In vivo PK: single oral dose (100 mg/kg curcumin equivalent) gavage in fasted rats (n=6 per group); blood sampling via jugular vein at 0, 0.5, 1, 2, 4, 6, 8, 12, 24 h; plasma separated, proteins precipitated with acetonitrile, HPLC-UV quantification. NCA with Phoenix WinNonlin 8.3. SNEDDS-F3 achieved 10.3-fold improvement in AUC₀₋₂₄ over free curcumin suspension and 4.1-fold over the marketed suspension. The shortened T max (0.5 h vs 2.0 h for free drug) indicates rapid absorption consistent with nanoemulsion formation in the GI tract and membrane permeation from small droplets. The extended t½ (6.1 h vs 3.8 h for free drug) may reflect lymphatic absorption of SNEDDS droplets bypassing the enterocyte-portal route, with subsequent slow release from lymphatic circulation a pharmacokinetic signature observed in other SNEDDS formulations of lipophilic polyphenols [8] .

Results

Results

Discussion

The 10.3-fold oral bioavailability enhancement achieved by SNEDDS-F3 places this formulation among the highestperforming curcumin SNEDDS reported, where the literature range is approximately 3-20-fold [9] . The key formulation success factor is the selection of Cremophor EL (HLB 12.0, high droplet formation efficiency) over Tween 80 (HLB 15.0, suboptimal for Miglyol 812) as the primary surfactant, combined with Transcutol P as cosurfactant.

Transcutol P not only fine-tunes the blend HLB but also acts as a membrane permeation enhancer for the mucosal surface both mechanisms that are absent in PEG 400 cosurfactant controls. This explains why S mix 2:1 formulations consistently outperformed S mix 1:1 formulations at equal total surfactant concentration [10] .

The PDI of 0.094 for SNEDDS-F3 indicates a highly monodisperse droplet population, which is important for consistent and predictable absorption kinetics. High-PDI formulations (> 0.3) contain a broad range of droplet sizes; large droplets (> 500 nm) behave more like conventional emulsions with poor GI absorption, pulling the average absorption efficiency downward [11] . The negative zeta potential (-22.3 mV) provides sufficient electrostatic repulsion to prevent droplet coalescence during GI transit without being so negative as to trigger macrophage uptake a balance that is optimal for mucosal bioavailability.

The commercial scale-up potential of SNEDDS-F3 is favourable: all excipients are GRAS-listed and present in approved drug products; the preparation involves only mixing and dissolution steps with no heating or pressure; and the formulation can be filled into hard gelatin capsules or HPMC capsules for oral delivery. Unit dose manufacturing of 40 mg curcumin capsules using SNEDDS-F3 requires approximately 120 mg of formulation per capsule (at 40 mg/mL drug loading × 3 mL fill), which is within standard capsule fill volume parameters. These practical factors, combined with the 10.3-fold bioavailability enhancement over free curcumin and 4.1-fold over the marketed standard, establish a compelling case for clinical translation.

Conclusion

SNEDDS formulations for curcumin were optimised using pseudo-ternary phase diagrams and pharmaceutical characterisation. The optimal formulation SNEDDS-F3

Figures and tables from the paper

Table 1. Physicochemical characterisation of six SNEDDS formulations (F1-F6)
FormulationOil:SmixSmix ratioDroplet size (nm)PDIZeta potential (mV)EE (%)Drug release 2h (%)
SNEDDS-F11:91:174.3 ± 4.20.183 ± 0.012−18.4 ± 1.494.2 ± 2.882.1 ± 3.4
SNEDDS-F22:81:1112.7 ± 6.80.241 ± 0.018−14.7 ± 1.293.7 ± 2.677.8 ± 3.1
SNEDDS-F31:92:138.4 ± 2.10.094 ± 0.007−22.3 ± 1.898.4 ± 2.294.7 ± 3.8
SNEDDS-F42:82:158.7 ± 3.40.147 ± 0.011−17.8 ± 1.596.8 ± 2.488.3 ± 3.5
SNEDDS-F51:93:152.4 ± 3.10.128 ± 0.010−20.1 ± 1.797.3 ± 2.391.2 ± 3.7
SNEDDS-F62:83:184.2 ± 5.10.208 ± 0.016−15.4 ± 1.395.1 ± 2.783.7 ± 3.3
Free curcumin susp.3847 ± 2840.724 ± 0.054−6.2 ± 0.818.4 ± 1.8

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Physicochemical characterisation of six SNEDDS formulations (F1-F6)↗ Enlarge
Table 1
Physicochemical characterisation of six SNEDDS formulations (F1-F6)

Physicochemical characterisation of six SNEDDS formulations (F1-F6)

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Original paper tableSource PDF · page 2 ↗
Table 2. Pharmacokinetic parameters of curcumin after oral administration to Wistar rats (n=6)
GroupAUC₀₋₂₄ (ng·h/mL)Cmax (ng/mL)Tmax (h)t½ (h)Frel vs free drug (%)
Free curcumin suspension124.7 ± 18.418.4 ± 3.22.0 ± 0.33.8 ± 0.6100
SNEDDS-F1874.3 ± 62.1112.4 ± 14.71.0 ± 0.25.2 ± 0.7701
SNEDDS-F3 (optimal)1284.7 ± 84.3187.3 ± 21.40.5 ± 0.16.1 ± 0.81030
SNEDDS-F51047.2 ± 71.8148.7 ± 18.20.75 ± 0.15.8 ± 0.8840
Marketed curcumin susp.312.4 ± 28.644.8 ± 7.31.5 ± 0.24.2 ± 0.6251

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Pharmacokinetic parameters of curcumin after oral administration to Wistar rats (n=6)↗ Enlarge
Table 2
Pharmacokinetic parameters of curcumin after oral administration to Wistar rats (n=6)

Pharmacokinetic parameters of curcumin after oral administration to Wistar rats (n=6)

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Original paper tableSource PDF · page 3 ↗
Figure 1. (Left) Scatter plot of droplet size vs HLB for 60 SNEDDS formulations (colour = PDI); (Right) Violin plots of AUC₀₋₂₄ comparing
(Left) Scatter plot of droplet size vs HLB for 60 SNEDDS formulations (colour = PDI); (Right) Violin plots of AUC₀₋₂₄ comparing↗ Enlarge
Figure 1
(Left) Scatter plot of droplet size vs HLB for 60 SNEDDS formulations (colour = PDI); (Right) Violin plots of AUC₀₋₂₄ comparing

(Left) Scatter plot of droplet size vs HLB for 60 SNEDDS formulations (colour = PDI); (Right) Violin plots of AUC₀₋₂₄ comparing

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Figure 2. (Left) Scatter plot of droplet size vs 2h drug release with log-linear regression (r²=0.972); (Right) Box+strip plot of Cmax distributions
(Left) Scatter plot of droplet size vs 2h drug release with log-linear regression (r²=0.972); (Right) Box+strip plot of Cmax distributions↗ Enlarge
Figure 2
(Left) Scatter plot of droplet size vs 2h drug release with log-linear regression (r²=0.972); (Right) Box+strip plot of Cmax distributions

(Left) Scatter plot of droplet size vs 2h drug release with log-linear regression (r²=0.972); (Right) Box+strip plot of Cmax distributions

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

References

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