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Abstract

Novel drug delivery systems have paved the way for nano- and micro-formulation techniques, addressing the challenges of poorly soluble and permeable drugs. Among these, lipid-based nanoparticles, such as liposomes, niosomes, and micelles, have gained widespread acceptance and are FDA-approved. These lipid-based systems are particularly beneficial for delivering natural phytoconstituents and enhancing the solubility, permeability, and bioavailability of drugs, especially those classified under BCS Class II and Class IV. This article reviews recent developments and applications of lipid-based dosage forms in improving therapeutic efficacy.

Keywords

Novel Drug Delivery System, BCS Classification, Liposome, Niosomes, Solid Lipid Nanoparticles, Nano choleates

Introduction

Novel drug delivery systems (NDDS) have opened new avenues for the development of nano- and micro-formulations, offering solutions to the challenges posed by poorly soluble and poorly permeable drugs, particularly those classified under Biopharmaceutical Classification System (BCS) Classes II and IV. These advanced systems aim to deliver drugs directly to the target site in low concentrations, thereby enhancing therapeutic efficiency. NDDS encompasses a wide variety of formulations, including microparticles, nanoparticles, and lipid-based carriers such as liposomes, niosomes, phytosomes, micelles, hydrogels, quantum dots, nanotubes, and dendrimers. Nanoparticulate systems, typically ranging from 1 to 100 nm in size, facilitate improved drug movement across biological barriers due to their nanoscale properties. This advancement has led to a broad spectrum of applications in both treatment and diagnostics. Lipid-based drug delivery systems, including liposomes, niosomes, and micelles, have gained considerable popularity and are FDA-approved. These lipid-based systems have proven to be effective for the delivery of natural phytoconstituents and inorganic particles like gold. One of the major advantages of lipid-based NDDS is their compatibility with a wide range of drugs, improving their solubility, permeability, and bioavailability.

Reasons for the Use of NDDS for BCS Class II and IV Drugs:

  1. Poor Solubility and Permeability: Drugs in BCS Classes II and IV typically exhibit poor solubility and permeability, which hinder their therapeutic effectiveness.
  2. Increased Surface Area: Reducing particle size increases the surface area, thereby improving the dissolution rate of poorly soluble drugs.
  3. Unique Properties of Nanomaterials: Nanomaterials exhibit distinct optical, electrical, chemical, and physical properties, making them versatile for use in medical and biological applications.
  4. Enhanced Bioavailability: The mobility of nanoparticles helps improve the bioavailability of drugs.
  5. Targeted and Controlled Delivery: Nanomaterials are ideal for the targeted and controlled delivery of biopharmaceuticals.
  6. Improved Membrane Penetration: Due to their nanosized structure, these materials can easily cross mucosal membranes, while microsystems can traverse epithelial linings.
  7. Increased Efficacy and Reduced Side Effects: The ability to target specific sites enhances therapeutic efficacy while minimizing side effects.
  8. Protection from First-Pass Metabolism: Nanosized formulations protect drugs from enzymatic degradation and first-pass metabolism.

Solubility and Permeability Considerations

Solubility is a crucial factor that directly influences drug activity and bioavailability. Several factors affect the solubility of drugs, such as the drug’s pKa, the pH of the gastrointestinal tract (GIT), and the luminal pH. Physiological and physicochemical properties of the drug also play an important role in solubility. According to the United States Pharmacopeia (USP 38) and the European Pharmacopoeia, solubility is categorized into seven distinct groups. The Biopharmaceutics Classification System (BCS), introduced by Amidon et al. in 1995, classifies drugs based on their solubility and permeability characteristics. This system is widely used for the development of immediate-release oral dosage forms. BCS Class II and IV drugs, which face significant challenges related to solubility and permeability, require specialized formulation strategies to enhance their therapeutic potential.

Table 1. BCS Classification

Class

Solubility

Permeability

Example

Class I

High

High

Metoprolol, diltiazem, verapamil, propranolol etc.

Class II

Low

High

Ibuprofen, ketoprofen, carvedilol, ketoconazole, fenofibrate etc.

Class III

High

Low

Cimetidine, ranitidine, acyclovir, neomycin B, atenolol, captopril.

Class IV

Low

Low

Hydrochlorothiazide, taxol, furosemide.

BCS Class II drugs can be further categorized into subclasses based on their acidic or basic nature (Table 2). The solubility of these drugs can be significantly affected by variations in the pH environment within the gastrointestinal tract (GIT).

Table 2. BCS Sub classification

Class II

Solubility

Example

Gastric pH solubility

Intestinal pH solubility

Class II a (Weakly acidic drugs)

Low

Dissolve quickly

Ibuprofen, ketoprofen, flurbiprofen, naproxen, rifampicin etc

Class II b (Weakly basic drugs)

High

Precipitate

Carvedilol, ketoconazole, ibuprofen, ketoprofen etc

Class II c (Neutral drugs)

No dependent on pH change

Fenofibrate etc.

Types of Lipid-Based Nano Drug Delivery Systems

The development of effective drug formulations is often hindered by challenges such as low aqueous solubility, limited permeability, poor absorption, significant first-pass metabolism, systemic degradation, and the activity of efflux transporters like P-glycoprotein. These factors greatly impact the clinical performance of many therapeutic agents. To address these limitations, researchers have explored various advanced drug delivery approaches, including lipid-based systems, polymer-based carriers, nanocarriers, nanocrystals, liquisolid technology, and solid dispersions (Figure 1). Among these, lipid-based nanoparticulate formulations have shown significant promise due to their ability to enhance solubility, improve bioavailability, and bypass metabolic barriers.

Liposomes

Liposomes are spherical vesicular structures composed of amphiphilic phospholipids, which have the unique ability to encapsulate both hydrophilic and hydrophobic drug molecules. Due to their amphiphilic nature, these lipids can self-assemble into bilayered vesicles, making liposomes highly versatile carriers for various therapeutic agents.

Mechanism of Liposome Formation

Liposome formation begins by introducing lipid components into an aqueous environment. Through hydrophobic and hydrophilic interactions—either between lipid molecules themselves or between lipids and water—bilayer structures are formed (Figure 2). These bilayers can then organize into vesicles under the influence of external energy sources such as sonication, homogenization, heating, or freeze-thaw cycles. This energy input helps in shaping and stabilizing the vesicular structures for effective drug delivery.

Mechanism of liposome formation

A. Classification of Liposomes Based on Size and Lamellarity

Liposomes can be categorized based on their size, number of lipid bilayers, and structural arrangement. One major classification divides them into multilamellar and unilamellar vesicles:

  • Multilamellar Vesicles (MLVs): These are typically larger than 0.5 µm and consist of multiple concentric lipid bilayers. When the number of bilayers exceeds five, the vesicles are referred to as multilamellar.
  • Oligolamellar Vesicles: These are similar in structure to multilamellar vesicles but contain fewer bilayers—generally between 2 and 5.
  • Unilamellar Vesicles (ULVs): These liposomes consist of a single lipid bilayer surrounding the aqueous core. They are further divided based on size:
    • Small Unilamellar Vesicles (SUVs): Generally less than 100 nm in diameter.
    • Large Unilamellar Vesicles (LUVs): Larger than SUVs, typically above 100 nm.

Although unilamellar vesicles share the same structural design, they differ primarily in their size, which influences drug loading and release characteristics.

Classification of Liposomes

Liposomes can be classified based on size and lamellarity, lipid composition, and preparation methods. Each classification provides insight into their structure, behavior, and potential therapeutic applications.

A. Based on Size and Lamellarity

Liposomes vary in size and the number of lipid bilayers they contain. These characteristics influence drug loading, release profiles, and cellular uptake.

Table 3: Types of Liposomes According to Size

Type

Size Range

Multilamellar Large Vesicles (MLV)

> 0.5 µm

Oligolamellar Vesicles (OLV)

0.1 – 1.0 µm

Unilamellar Vesicles (ULV)

0.1 nm – 1000 µm

Small Unilamellar Vesicles (SUV)

20 – 100 nm

Large Unilamellar Vesicles (LUV)

> 100 nm

Giant Unilamellar Vesicles (GUV)

> 1.0 µm

Multivariant Vesicles

> 1.0 µm

B. Based on Lipid Composition

The composition of the liposome determines its functionality, stability, and suitability for specific drug delivery applications.

Table 4: Types of Liposomes Based on Lipid Composition

Type

Application

Examples of Lipids

Conventional Liposomes

General drug delivery

Neutral or negatively charged lipids: phospholipid lecithin, glycerol, fatty acids

pH-Sensitive Liposomes

pH-triggered intracellular delivery

Phosphatidyl ethanolamine, dioleoyl phosphatidyl ethanolamine

Cationic Liposomes (Lipoplexes)

Delivery of negatively charged macromolecules (e.g., DNA)

DOTAP, DOTMA (cationic lipids)

Stealth (PEGylated) Liposomes

Prolonged circulation and immune evasion

Synthetic polymers such as polyethylene glycol (PEG)

Immunoliposomes

Targeted delivery through antibody binding

Antibody-conjugated conventional liposomes

Magnetic Liposomes

Site-specific release using external magnetic fields

Phosphatidylcholine, cholesterol, aldehydes, magnetic iron oxide nanoparticles

Temperature-Sensitive Liposomes

Triggered drug release in response to temperature changes

Dipalmitoyl phosphatidylcholine

C. Based on Method of Preparation

Several techniques have been developed to prepare liposomes, each affecting the vesicle size, lamellarity, and entrapment efficiency.

Table 5: Methods of Liposome Preparation

Method Type

Technique/Process

Instruments/Tools Used

Mechanical Dispersion

Co-dissolution of lipids in organic solvent, followed by solvent evaporation

Hand shaking, non-hand shaking

 

Sonication to reduce vesicle size

Probe or bath sonicator

 

Micro-emulsification for uniform vesicle formation

Microfluidizer pump

 

Extrusion for controlled vesicle size

Extruder

Solvent Dispersion

Lipids dissolved in organic solvent, added to aqueous phase with drug

 
 

Ethanol injection (miscible solvent)

Fine needle

 

Ether injection (immiscible solvent)

Fine needle

 

Rapid solvent exchange technique

Narrow needle

De-Emulsification

Breakdown of large vesicles with ability to reassemble

Reverse-phase evaporation technique (evaporator)

Detergent Removal

Formation of micelles, followed by detergent removal

Dialysis membranes, column chromatography

Niosomes

Niosomes are vesicular drug delivery systems formed from non-ionic surfactants, often considered as alternatives to liposomes. These vesicles are composed primarily of surfactants like fatty alcohols, esters, or block copolymers, along with cholesterol to stabilize the structure.44,45 The surfactants used in niosomal formulations have both hydrophilic and hydrophobic regions, enabling them to self-assemble into bilayered vesicles. Based on the nature of their head groups, surfactants can be classified as anionic, cationic, amphoteric, or non-ionic. Among these, non-ionic surfactants are preferred due to their low toxicity, greater stability, and enhanced biocompatibility.46

Table 6: Examples of Niosomes Prepared by Thin Film Hydration Technique

Preparation Method

Excipients Used

Drug/Compound

Thin film hydration (sonication)

Tween 80, Tween 20, phosphate buffer (pH 7), cholesterol

Curcumin47

Thin film hydration

Chloroform, methanol, Span 80, dicetyl phosphate

Curcumin48

Reverse phase evaporation

Span 60, DMSO, cholesterol

Growth factor49

Thin film hydration (rotary evaporator)

GMS, cholesterol, glucose, sodium chloride, Tween 80, MYRJ 49

Ginkgolide50

Advantages of Niosomes

  • Enhance bioavailability of poorly absorbed drugs.
  • Improve solubility and permeability, especially via M-cell mediated transcytosis in Peyer’s patches of the intestine.
  • Enable controlled and sustained drug release.
  • Can be easily modified due to the presence of both hydrophilic and lipophilic regions.

Limitations of Niosomes

  • Prone to physical instability (e.g., fusion or aggregation).
  • Potential hydrolysis of the encapsulated drug.
  • Leakage or leaching of the encapsulated contents over time.

Solid Lipid Nanoparticles (SLNs)

Solid Lipid Nanoparticles (SLNs) are developed to address limitations of traditional colloidal drug delivery systems such as liposomes, emulsions, and polymeric nanoparticles. SLNs are composed of physiological lipids—including triglycerides and glycerides of fatty acids—which provide excellent biodegradability and biocompatibility.51

These systems offer several advantages over earlier nanoparticle technologies, such as:

  • Simplified manufacturing processes
  • Higher entrapment efficiency
  • Improved physical stability
  • Easier scalability for industrial production

Key Ingredients Used in SLN Formulation

  • Lipids: Triglycerides, partial glycerides
  • Fatty acids
  • Steroids
  • Waxes

(Figure 4: Illustration of Different Methods for SLN Preparation)

Various preparation techniques for SLNs include:

  • High-pressure homogenization
  • Microemulsion method
  • Solvent emulsification-evaporation
  • Ultrasonication
  • Double emulsion method
  • Spray drying and lyophilization

Figure 4.

Methods of preparation of solid lipid nanoparticles

Solid Lipid Nanoparticles (SLNs)

Solid Lipid Nanoparticles (SLNs) are emerging as a promising drug delivery system to overcome the limitations of conventional colloidal carriers like emulsions, polymeric nanoparticles, and liposomes. They are formulated using physiological lipids (e.g., glycerides, fatty acids), ensuring biocompatibility, biodegradability, and reduced toxicity. SLNs provide enhanced drug entrapment efficiency, physical stability, and easier scalability in pharmaceutical manufacturing.51

A. High-Pressure Homogenization (HPH)

High-pressure homogenization is a widely used industrial method for SLN production. It involves forcing the lipid phase through a narrow gap at high pressure, which leads to particle size reduction. The method is divided into:

I. Hot Homogenization Method

In this approach, the lipid is melted above its melting point, and the drug is dissolved in the molten lipid. The lipid phase is then mixed with a hot aqueous phase containing surfactants, forming a pre-emulsion. The mixture is then homogenized at high pressure to form SLNs.53

II. Cold Homogenization Method

For heat-sensitive drugs, cold homogenization is preferred. Here, the drug-lipid mixture is first solidified using liquid nitrogen or dry ice, then ground into a fine powder and dispersed in a cold aqueous surfactant solution. This dispersion is homogenized at or below room temperature.53

Table 7: Examples of SLNs Prepared Using HPH Techniques

Method

Drug

Excipients

Application

Hot HPH

Eucalyptus globulus oil

Cocoa butter, sesame oil, olive oil, L-α phosphatidylcholine

Wound healing53

Cold HPH

Rifampicin, isoniazid, pyrazinamide

Poloxamer 188, sodium taurocholate, stearic acid, GMS, HPMC

Antitubercular action54

Hot HPH

Zataria multiflora oil

Stearic acid, Tween 80, Span 60, ethanol

Mosquito repellant55

Cold HPH

Streptomycin sulphate

Soy lecithin, GMS, PEG 400/600, Gelucire 44/14

Anti-TB activity56

Hot HPH

Curcumin

Compritol 888 ATO, Soy lecithin (Phospholipon 90 G)

Wound healing57

B. Solvent Evaporation/Emulsification Method

In this method, lipophilic materials are dissolved in an organic solvent and emulsified in an aqueous phase to form an oil-in-water (o/w) emulsion. Mechanical stirring facilitates solvent evaporation, leading to lipid precipitation as solid nanoparticles. The polarity of the organic and aqueous phases must be opposite for successful emulsion formation.58,59

Table 8: Examples of SLNs Prepared by Solvent Evaporation Method

Drug / Compound

Excipients

Application

Curcumin

Poloxamer 188, Tween 80, GMS, PEG-400, Ethanol

Treatment of COPD60

Naloxone

Glyceryl monostearate, Pluronic 127, Tween 80

Opioid overdose reversal61

Perphenazine

Tween 80, Soy lecithin, Acetonitrile, Methanol, GMS

Antipsychotic62

Amphotericin-B

Pluronic F127, Vitamin B12, FITC, Stearic acid, Solutol HS15, etc.

Antileishmanial activity63

Glibenclamide

Precirol, Compritol, PEG

Hypoglycemic effect64

Olmesartan medoxomil

GMS, Soy phosphatidylcholine, Tween 80

Antihypertensive65

Limitations of Solvent Evaporation Method

  • Requires high concentrations of surfactants for small particle formation.
  • Time and energy-intensive process.
  • Use of non-biocompatible solvents may necessitate further purification.

C. Solvent Emulsification Diffusion Technique

This method involves forming a suspension from a partially water-miscible emulsion, followed by diffusion of the solvent into the aqueous phase, leading to precipitation of lipid nanoparticles. Solvents commonly used include ethyl acetate, butyl lactate, benzyl alcohol, isopropyl acetate, etc. The miscibility of the solvent in water is a critical factor in this method.

Figure 6: Illustration of Solvent Emulsification Diffusion Process

Table 9: SLNs Prepared by Solvent Emulsification Diffusion

Drug

Excipients

Application

Tretinoin gel

GMS, Compritol 888 ATO, Cutina CBS, Epikuron 200, Tween 20, Tween 80

Treatment of acne68

Povidone-iodine gel

GMS, Soy lecithin, Pluronic F68, Carbopol 940, Propylene glycol

Antiseptic for wound healing69

Rutin

Phospholipon 80H, Tween 80, Trehalose, Ethanol, Acetate (2:1)

Antioxidant therapy70

Folate-conjugated Olaparib NP

PEG 4000, Stannous octoate, DCC, NHS

Targeted anticancer therapy

Mechanism:

The process begins with the addition of the organic phase into the aqueous phase, resulting in the formation of an oil-in-water (o/w) emulsion. This emulsion is then diluted with water. Under continuous stirring by a mechanical agitator, the drug dissolved in the organic solvent rapidly solidifies as the organic solvent diffuses from the dispersed droplets into the surrounding aqueous phase. This solvent diffusion leads to the formation of hollow spherical nanoparticles (illustrated in Figures 7 and 8).

Figure 7.

Mechanism of Sphere particle formation by solvent emulsification diffusion technique

Figure 8.

Process of solvent emulsification diffusion method for SLN or NLC

CONCLUSION

Novel drug delivery systems have emerged as promising nanoplatforms to enhance the efficiency of drug delivery. Lipid-based nanoformulations offer significant benefits, particularly in improving the low aqueous solubility of poorly soluble drugs. These lipid-based systems also contribute to increased bioavailability, especially for drugs subject to extensive metabolism. Various techniques have been developed and applied for the formulation and evaluation of lipid-based dosage forms, including liposomes, niosomes, solid lipid nanoparticles (SLNs), nanostructured lipid carriers, and nanocholates. These advanced delivery systems effectively address challenges related to both solubility and permeability of poorly soluble drugs, thereby enhancing therapeutic outcomes.

Competing Interests

The authors declare that there are no competing interests associated with this work.

REFERENCE

  1. Mahomoodally MF, Sadeer N, Edoo M, Venugopala KN. The potential application of novel drug delivery systems for phytopharmaceuticals and natural extracts - current status and future perspectives. Mini Rev Med Chem. 2021;21(18):2731–46. doi: 10.2174/1389557520666200730160911. [DOI] [PubMed] [Google Scholar]
  2. Bandawane A, Saudagar R. A review on novel drug delivery system: a recent trend. J Drug Deliv Ther. 2019;9(3):517–21. doi: 10.22270/jddt.v9i3.2610. [DOI] [Google Scholar]
  3. Rudramurthy GR, Swamy MK, Sinniah UR, Ghasemzadeh A. Nanoparticles: alternatives against drug-resistant pathogenic microbes. Molecules. 2016;21(7):836. doi: 10.3390/molecules21070836. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Haba Y, Kojima C, Harada A, Ura T, Horinaka H, Kono K. Preparation of poly(ethylene glycol)-modified poly(amido amine) dendrimers encapsulating gold nanoparticles and their heat-generating ability. Langmuir. 2007;23(10):5243–6. doi: 10.1021/la0700826. [DOI] [PubMed] [Google Scholar]
  5. Shi X, Sun K, Baker JR. Spontaneous formation of functionalized dendrimer-stabilized gold nanoparticles. J Phys Chem C Nanomater Interfaces. 2009;112(22):8251–8. doi: 10.1021/jp801293a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Park SH, Oh SG, Mun JY, Han SS. Loading of gold nanoparticles inside the DPPC bilayers of liposome and their effects on membrane fluidities. Colloids Surf B Biointerfaces. 2006;48(2):112–8. doi: 10.1016/j.colsurfb.2006.01.006. [DOI] [PubMed] [Google Scholar]
  7. Ghadi R, Dand N. BCS class IV drugs: highly notorious candidates for formulation development. J Control Release. 2017;248:71–95. doi: 10.1016/j.jconrel.2017.01.014. [DOI] [PubMed] [Google Scholar]
  8. Emerich DF, Thanos CG. Nanotechnology and medicine. Expert Opin Biol Ther. 2003;3(4):655–63. doi: 10.1517/14712598.3.4.655. [DOI] [PubMed] [Google Scholar]
  9. Desai MP, Labhasetwar V, Amidon GL, Levy RJ. Gastrointestinal uptake of biodegradable microparticles: effect of particle size. Pharm Res. 1996;13(12):1838–45. doi: 10.1023/a:1016085108889. [DOI] [PubMed] [Google Scholar]
  10. Vasir JK, Reddy MK, Labhasetwar VD. Nanosystems in drug targeting: opportunities and challenges. Curr Nanosci. 2005;1(1):47–64. doi: 10.2174/1573413052953110. [DOI] [Google Scholar]
  11. Shekhawat PB, Pokharkar VB. Understanding peroral absorption: regulatory aspects and contemporary approaches to tackling solubility and permeability hurdles. Acta Pharm Sin B. 2017;7(3):260–80. doi: 10.1016/j.apsb.2016.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Martinez MN, Amidon GL. A mechanistic approach to understanding the factors affecting drug absorption: a review of fundamentals. J Clin Pharmacol. 2002;42(6):620–43. doi: 10.1177/00970002042006005. [DOI] [PubMed] [Google Scholar]
  13. Pavurala N, Achenie LEK. A mechanistic approach for modeling oral drug delivery. Comput Chem Eng. 2013;57:196–206. doi: 10.1016/j.compchemeng.2013.06.002. [DOI] [Google Scholar]
  14. Lennernäs H. Human intestinal permeability. J Pharm Sci. 1998;87(4):403–10. doi: 10.1021/js970332a. [DOI] [PubMed] [Google Scholar]
  15. Yu LX, Lipka E, Crison JR, Amidon GL. Transport approaches to the biopharmaceutical design of oral drug delivery systems: prediction of intestinal absorption. Adv Drug Deliv Rev. 1996;19(3):359–76. doi: 10.1016/0169-409x(96)00009-9. [DOI] [PubMed] [Google Scholar]
  16. United States Pharmacopeial Convention. The United States Pharmacopeia: Official from July 1, 1980--20th Revision. Rockville, MD: United States Pharmacopeial Convention; 1979.
  17. Amidon GL, Lennernäs H, Shah VP, Crison JR. A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability. Pharm Res. 1995;12(3):413–20. doi: 10.1023/a:1016212804288. [DOI] [PubMed] [Google Scholar]
  18. Dahan A, Miller JM, Amidon GL. Prediction of solubility and permeability class membership: provisional BCS classification of the world’s top oral drugs. AAPS J. 2009;11(4):740–6. doi: 10.1208/s12248-009-9144-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Sugano K, Terada K. Rate- and extent-limiting factors of oral drug absorption: theory and applications. J Pharm Sci. 2015;104(9):2777–88. doi: 10.1002/jps.24391. [DOI] [PubMed] [Google Scholar]
  20. Reddy BB, Karunakar A. Biopharmaceutics classification system: a regulatory approach. Dissolution Technol. 2011;18(1):31–7. doi: 10.14227/dt180111p31. [DOI] [Google Scholar]
  21. Tsume Y, Mudie DM, Langguth P, Amidon GE, Amidon GL. The biopharmaceutics classification system: subclasses for in vivo predictive dissolution (IPD) methodology and IVIVC. Eur J Pharm Sci. 2014;57:152–63. doi: 10.1016/j.ejps.2014.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Brahmankar DM, Jaiswal SB. Biopharmaceutics and Pharmacokinetics. 2nd ed. Delhi: Vallabh Prakashan; 2009. p. 399-401.
  23. Cook JA, Bockbrader HN. An industrial implementation of the biopharmaceutics classification system. Dissolution Technol. 2002;9(2):6–9. doi: 10.14227/dt090202p6. [DOI] [Google Scholar]
  24. Cook JA, Davit BM, Polli JE. Impact of biopharmaceutics classification system-based biowaivers. Mol Pharm. 2010;7(5):1539–44. doi: 10.1021/mp1001747. [DOI] [PubMed] [Google Scholar]
  25. Patra JK, Das G, Fraceto LF, Campos EVR, Del Pilar Rodriguez-Torres M, Acosta-Torres LS, et al. Nano based drug delivery systems: recent developments and future prospects. J Nanobiotechnology. 2018;16(1):71. doi: 10.1186/s12951-018-0392-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Singh SP, Patra CN, Swain S, Ansari VA. Liposomes as novel drug delivery vehicle. In: Pharmaceutical Drug Delivery Systems and Vehicles. WPI Publishing; 2018. p. 245-66.
  27. Daraee H, Etemadi A, Kouhi M, Alimirzalu S, Akbarzadeh A. Application of liposomes in medicine and drug delivery. Artif Cells Nanomed Biotechnol. 2016;44(1):381–91. doi: 10.3109/21691401.2014.953633. [DOI] [PubMed] [Google Scholar]
  28. Balazs DA, Godbey W. Liposomes for use in gene delivery. J Drug Deliv. 2011;2011:326497. doi: 10.1155/2011/326497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Bulbake U, Doppalapudi S, Kommineni N, Khan W. Liposomal formulations in clinical use: an updated review. Pharmaceutics. 2017;9(2):12. doi: 10.3390/pharmaceutics9020012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Sforzi J, Palagi L, Aime S. Liposome-based bioassays. Biology (Basel) 2020;9(8):202. doi: 10.3390/biology9080202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Vlasova KY, Piroyan A, Le-Deygen IM, Vishwasrao HM, Ramsey JD, Klyachko NL, et al. Magnetic liposome design for drug release systems responsive to super-low frequency alternating current magnetic field (AC MF) J Colloid Interface Sci. 2019;552:689–700. doi: 10.1016/j.jcis.2019.05.071. [DOI] [PMC free article] [PubMed] [Google Scholar].

Reference

  1. Mahomoodally MF, Sadeer N, Edoo M, Venugopala KN. The potential application of novel drug delivery systems for phytopharmaceuticals and natural extracts - current status and future perspectives. Mini Rev Med Chem. 2021;21(18):2731–46. doi: 10.2174/1389557520666200730160911. [DOI] [PubMed] [Google Scholar]
  2. Bandawane A, Saudagar R. A review on novel drug delivery system: a recent trend. J Drug Deliv Ther. 2019;9(3):517–21. doi: 10.22270/jddt.v9i3.2610. [DOI] [Google Scholar]
  3. Rudramurthy GR, Swamy MK, Sinniah UR, Ghasemzadeh A. Nanoparticles: alternatives against drug-resistant pathogenic microbes. Molecules. 2016;21(7):836. doi: 10.3390/molecules21070836. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Haba Y, Kojima C, Harada A, Ura T, Horinaka H, Kono K. Preparation of poly(ethylene glycol)-modified poly(amido amine) dendrimers encapsulating gold nanoparticles and their heat-generating ability. Langmuir. 2007;23(10):5243–6. doi: 10.1021/la0700826. [DOI] [PubMed] [Google Scholar]
  5. Shi X, Sun K, Baker JR. Spontaneous formation of functionalized dendrimer-stabilized gold nanoparticles. J Phys Chem C Nanomater Interfaces. 2009;112(22):8251–8. doi: 10.1021/jp801293a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Park SH, Oh SG, Mun JY, Han SS. Loading of gold nanoparticles inside the DPPC bilayers of liposome and their effects on membrane fluidities. Colloids Surf B Biointerfaces. 2006;48(2):112–8. doi: 10.1016/j.colsurfb.2006.01.006. [DOI] [PubMed] [Google Scholar]
  7. Ghadi R, Dand N. BCS class IV drugs: highly notorious candidates for formulation development. J Control Release. 2017;248:71–95. doi: 10.1016/j.jconrel.2017.01.014. [DOI] [PubMed] [Google Scholar]
  8. Emerich DF, Thanos CG. Nanotechnology and medicine. Expert Opin Biol Ther. 2003;3(4):655–63. doi: 10.1517/14712598.3.4.655. [DOI] [PubMed] [Google Scholar]
  9. Desai MP, Labhasetwar V, Amidon GL, Levy RJ. Gastrointestinal uptake of biodegradable microparticles: effect of particle size. Pharm Res. 1996;13(12):1838–45. doi: 10.1023/a:1016085108889. [DOI] [PubMed] [Google Scholar]
  10. Vasir JK, Reddy MK, Labhasetwar VD. Nanosystems in drug targeting: opportunities and challenges. Curr Nanosci. 2005;1(1):47–64. doi: 10.2174/1573413052953110. [DOI] [Google Scholar]
  11. Shekhawat PB, Pokharkar VB. Understanding peroral absorption: regulatory aspects and contemporary approaches to tackling solubility and permeability hurdles. Acta Pharm Sin B. 2017;7(3):260–80. doi: 10.1016/j.apsb.2016.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Martinez MN, Amidon GL. A mechanistic approach to understanding the factors affecting drug absorption: a review of fundamentals. J Clin Pharmacol. 2002;42(6):620–43. doi: 10.1177/00970002042006005. [DOI] [PubMed] [Google Scholar]
  13. Pavurala N, Achenie LEK. A mechanistic approach for modeling oral drug delivery. Comput Chem Eng. 2013;57:196–206. doi: 10.1016/j.compchemeng.2013.06.002. [DOI] [Google Scholar]
  14. Lennernäs H. Human intestinal permeability. J Pharm Sci. 1998;87(4):403–10. doi: 10.1021/js970332a. [DOI] [PubMed] [Google Scholar]
  15. Yu LX, Lipka E, Crison JR, Amidon GL. Transport approaches to the biopharmaceutical design of oral drug delivery systems: prediction of intestinal absorption. Adv Drug Deliv Rev. 1996;19(3):359–76. doi: 10.1016/0169-409x(96)00009-9. [DOI] [PubMed] [Google Scholar]
  16. United States Pharmacopeial Convention. The United States Pharmacopeia: Official from July 1, 1980--20th Revision. Rockville, MD: United States Pharmacopeial Convention; 1979.
  17. Amidon GL, Lennernäs H, Shah VP, Crison JR. A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability. Pharm Res. 1995;12(3):413–20. doi: 10.1023/a:1016212804288. [DOI] [PubMed] [Google Scholar]
  18. Dahan A, Miller JM, Amidon GL. Prediction of solubility and permeability class membership: provisional BCS classification of the world’s top oral drugs. AAPS J. 2009;11(4):740–6. doi: 10.1208/s12248-009-9144-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Sugano K, Terada K. Rate- and extent-limiting factors of oral drug absorption: theory and applications. J Pharm Sci. 2015;104(9):2777–88. doi: 10.1002/jps.24391. [DOI] [PubMed] [Google Scholar]
  20. Reddy BB, Karunakar A. Biopharmaceutics classification system: a regulatory approach. Dissolution Technol. 2011;18(1):31–7. doi: 10.14227/dt180111p31. [DOI] [Google Scholar]
  21. Tsume Y, Mudie DM, Langguth P, Amidon GE, Amidon GL. The biopharmaceutics classification system: subclasses for in vivo predictive dissolution (IPD) methodology and IVIVC. Eur J Pharm Sci. 2014;57:152–63. doi: 10.1016/j.ejps.2014.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Brahmankar DM, Jaiswal SB. Biopharmaceutics and Pharmacokinetics. 2nd ed. Delhi: Vallabh Prakashan; 2009. p. 399-401.
  23. Cook JA, Bockbrader HN. An industrial implementation of the biopharmaceutics classification system. Dissolution Technol. 2002;9(2):6–9. doi: 10.14227/dt090202p6. [DOI] [Google Scholar]
  24. Cook JA, Davit BM, Polli JE. Impact of biopharmaceutics classification system-based biowaivers. Mol Pharm. 2010;7(5):1539–44. doi: 10.1021/mp1001747. [DOI] [PubMed] [Google Scholar]
  25. Patra JK, Das G, Fraceto LF, Campos EVR, Del Pilar Rodriguez-Torres M, Acosta-Torres LS, et al. Nano based drug delivery systems: recent developments and future prospects. J Nanobiotechnology. 2018;16(1):71. doi: 10.1186/s12951-018-0392-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Singh SP, Patra CN, Swain S, Ansari VA. Liposomes as novel drug delivery vehicle. In: Pharmaceutical Drug Delivery Systems and Vehicles. WPI Publishing; 2018. p. 245-66.
  27. Daraee H, Etemadi A, Kouhi M, Alimirzalu S, Akbarzadeh A. Application of liposomes in medicine and drug delivery. Artif Cells Nanomed Biotechnol. 2016;44(1):381–91. doi: 10.3109/21691401.2014.953633. [DOI] [PubMed] [Google Scholar]
  28. Balazs DA, Godbey W. Liposomes for use in gene delivery. J Drug Deliv. 2011;2011:326497. doi: 10.1155/2011/326497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Bulbake U, Doppalapudi S, Kommineni N, Khan W. Liposomal formulations in clinical use: an updated review. Pharmaceutics. 2017;9(2):12. doi: 10.3390/pharmaceutics9020012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Sforzi J, Palagi L, Aime S. Liposome-based bioassays. Biology (Basel) 2020;9(8):202. doi: 10.3390/biology9080202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Vlasova KY, Piroyan A, Le-Deygen IM, Vishwasrao HM, Ramsey JD, Klyachko NL, et al. Magnetic liposome design for drug release systems responsive to super-low frequency alternating current magnetic field (AC MF) J Colloid Interface Sci. 2019;552:689–700. doi: 10.1016/j.jcis.2019.05.071. [DOI] [PMC free article] [PubMed] [Google Scholar].

Photo
Madhu I. Kalasad
Corresponding author

AGM College of Pharmacy, Varur Hubballi.

Photo
Veeresh M. Ganjigatti
Co-author

AGM College of Pharmacy, Varur Hubballi.

Photo
Nida Ali
Co-author

School of Pharmaceutical Sciences, Jagatpura, Rajasthan.

Photo
Zulekha Yasmeen Mohammed Abdul Muqeen
Co-author

Kishori College of Pharmacy, Beed.

Photo
Sagar Hire
Co-author

Swami Institute of Pharmacy, Abhona.

Photo
Prashant Chavan
Co-author

Swami Institute of Pharmacy, Abhona.

Madhu I. Kalasad*, Veeresh M. Ganjigatti, Nida Ali, Zulekha Yasmeen Mohammed Abdul Muqeen, Sagar Hire, Dr. Prashant Chavan, Design, Formulation, And Pharmacological Evaluation of Novel Lipid-Based Nanocarriers for Targeted Delivery of Synthesized Anti-Inflammatory Agents, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 9, 2768-2780 https://doi.org/10.5281/zenodo.17189850

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