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Mini review

Potential of biosurfactant as green pharmaceutical excipients for coating of microneedles: A mini review

  • Received: 14 May 2024 Revised: 21 July 2024 Accepted: 25 July 2024 Published: 30 July 2024
  • Microneedles, a novel transdermal delivery system, were designed to improve drug delivery and address the challenges typically encountered with traditional injection practices. Discovering new and safe excipients for microneedle coating to replace existing chemical surfactants is advantageous to minimize their side effect on viable tissues. However, some side effects have also been observed for this application. The vast majority of studies suggest that using synthetic surfactants in microneedle formulations may result in skin irritation among other adverse effects. Hence, increasing knowledge about these components and their potential impacts on skin paves the way for finding preventive strategies to improve their application safety and potential efficacy. Biosurfactants, which are naturally produced surface active microbial products, are proposed as an alternative to synthetic surfactants with reduced side effects. The current review sheds light on potential and regulatory aspects of biosurfactants as safe excipients in the coating of microneedles.

    Citation: Marzieh Sajadi Bami, Payam Khazaeli, Shayan Fakhraei Lahiji, Gholamreza Dehghannoudeh, Ibrahim M. Banat, Mandana Ohadi. Potential of biosurfactant as green pharmaceutical excipients for coating of microneedles: A mini review[J]. AIMS Microbiology, 2024, 10(3): 596-607. doi: 10.3934/microbiol.2024028

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  • Microneedles, a novel transdermal delivery system, were designed to improve drug delivery and address the challenges typically encountered with traditional injection practices. Discovering new and safe excipients for microneedle coating to replace existing chemical surfactants is advantageous to minimize their side effect on viable tissues. However, some side effects have also been observed for this application. The vast majority of studies suggest that using synthetic surfactants in microneedle formulations may result in skin irritation among other adverse effects. Hence, increasing knowledge about these components and their potential impacts on skin paves the way for finding preventive strategies to improve their application safety and potential efficacy. Biosurfactants, which are naturally produced surface active microbial products, are proposed as an alternative to synthetic surfactants with reduced side effects. The current review sheds light on potential and regulatory aspects of biosurfactants as safe excipients in the coating of microneedles.



    As we all know, Keller and Segel [1] first proposed the classical chemotaxis model (hereafter called K-S model), which has been widely applied in biology and medicine. The model can be given by the following:

    {v1t=Δv1χ(v1v2)+f(v1),   xΩ, t>0,τv2t=Δv2v2+v1,   xΩ, t>0, (1.1)

    where v1 is the cell density, v2 is the concentration of the chemical signal, and f(v1) is the logistic source function. For the case of τ=1 and f(v1)=0, it has been proven that the classical solutions to system (1.1) always remain globally bounded when n=1 [2]. A critical mass phenomenon of system (1.1) has been shown in a two-dimensional space. Namely, if the initial data v10 satisfies v10L1(Ω)<4πχ, then the solution (v1,v2) is globally bounded [3]. Alternatively, if the initial data v10 satisfies v10L1(Ω)>4πχ, then the solution (v1,v2) is unbounded in finite or infinite time, provided Ω is simply connected [4,5]. In particular, for a framework of radially symmetric solutions in a planar disk, the solutions blow up in finite time if v10L1(Ω)>8πχ [6]. When f(v1)=0, Liu and Tao [7] changed τv2t=Δv2v2+v1 to v2t=Δv2v2+g(v1) with 0g(v1)Kvα1 for K,α>0, and obtained the global well-posedness of model (1.1) provided that 0<α<2n. Later on, the equation τv2t=Δv2v2+v1 was changed to 0=Δv2ϖ(t)+g(v1) with ϖ(t)=1|Ω|Ωg(v1(,t)) for g(v1)=vα1. Winkler [8] deduced that for any v10, the model (1.1) is globally and classical solvable if α<2n; conversely, if α>2n, then the solutions are unbounded in a finite-time for any Ωv10=m>0. For τ=0, when f(v1)v1(cdv1) with c,d>0, Tello and Winkler [9] deduced the global well-posedness of model (1.1) provided that d>n2nχ. Afterwards, when f(v1)=cv1dvϵ1 with ϵ>1,c0,d>0, Winkler [10] defined a concept of very weak solutions and observed that these solutions are globally bounded under some conditions. For more results on (1.1), the readers can refer to [11,12,13,14].

    Considering the volume filling effect [15], the self-diffusion functions and chemotactic sensitivity functions may have nonlinear forms of the cell density. The general model can be written as follows:

    {v1t=(ψ(v1)v1ϕ(v1)v2)+f(v1),   xΩ, t>0,τv2t=Δv2v2+v1,   xΩ, t>0. (1.2)

    Here, ψ(v1) and ϕ(v1) are nonlinear functions. When τ=1 and f(v1)=0, for any Ωv10=M>0, Winkler [16] derived that the solution (v1,v2) is unbounded in either finite or infinite time if ϕ(v1)ψ(v1)cvα1 with α>2n,n2 and some constant c>0 for all v1>1. Later on, Tao and Winkler [17] deduced the global well-posedness of model (1.5) provided that ϕ(v1)ψ(v1)cvα1 with α<2n,n1 and some constant c>0 for all v1>1. Furthermore, in a high-dimensional space where n5, Lin et al. [18] changed the equation τv2t=Δv2v2+v1 to 0=Δv2ϖ(t)+v1 with ϖ(t)=1|Ω|Ωv1(x,t)dx, and showed that the solution (v1,v2) is unbounded in a finite time.

    Next, we introduce the chemotaxis model that involves an indirect signal mechanism. The model can be given by the following:

    {v1t=(ψ(v1)v1ϕ(v1)v2)+f(v1),   xΩ, t>0,τv2t=Δv2v2+w,   xΩ, t>0,τwt=Δww+v1,   xΩ, t>0. (1.3)

    For τ=1, when ψ(v1)=1,ϕ(v1)=v1 and f(v1)=λ(v1vα1), the conclusion in [19] implied that the system is globally classical solvable if α>n4+12 with n2. Furthermore, the authors in [20,21,22] extended the boundedness result to a quasilinear system. Ren [23] derived the global well-posedness of system (1.3) and provided the qualitative analysis of such solutions. For τ=0, when ψ(s)c(s+1)θ and |ϕ(s)|ds(s+1)κ1 with s0,c,d>0 and θ,κR, Li and Li [24] obtained that the model (1.3) is globally classical solvable. Meanwhile, they also provided the qualitative analysis of such solutions. More results of the system with an indirect signal mechanism can be found in [25,26,27,28].

    Considering that the cell or bacteria populations have a tendency to move towards a degraded nutrient, the authors obtain another well-known chemotaxis-consumption system:

    {v1t=Δv1χ(v1v2),   xΩ, t>0,v2t=Δv2v1v2,   xΩ, t>0, (1.4)

    where v1 denotes the cell density, and v2 denotes the concentration of oxygen. If 0<χ16(n+1)v20L(Ω) with n2, then the results of [29] showed that the system (1.4) is globally classical solvable. Thereafter, Zhang and Li [30] deduced the global well-posedness of model (1.4) provided that n2 or 0<χ16(n+1)v20L(Ω),n3. In addition, for a sufficiently large v10 and v20, Tao and Winkler [31] showed that the defined weak solutions globally exist when n=3. Meanwhile, they also analyzed the qualitative properties of these weak solutions.

    Based on the model (1.4), some researchers have considered the model that involves an indirect signal consumption:

    {v1t=Δv1χ(v1v2),   xΩ, t>0,v2t=Δv2v1v2,   xΩ, t>0,wt=δw+v1,   xΩ, t>0, (1.5)

    where w represents the indirect signaling substance produced by cells for degrading oxygen. Fuest [32] obtained the global well-posedness of model (1.5) provided that n2 or v20L(Ω)13n, and studied the convergence rate of the solution. Subsequently, the authors in [33] extended the boundedness conclusion of model (1.5) using conditions n3 and 0<v20L(Ω)πn. For more results on model (1.5), the readers can refer to [34,35,36,37,38,39].

    Inspired by the work mentioned above, we find that there are few papers on the quasilinear chemotaxis model that involve the nonlinear indirect consumption mechanism. In view of the complexity of the biological environment, this signal mechanism may be more realistic. In this manuscript, we are interested in the following system:

    {v1t=(ψ(v1)v1χϕ(v1)v2)+λ1v1λ2vβ1,   xΩ, t>0,v2t=Δv2wθv2,   xΩ, t>0,0=Δww+vα1,   xΩ, t>0,v1ν=v2ν=wν=0,   xΩ, t>0,v1(x,0)=v10(x),v2(x,0)=v20(x),   xΩ, (1.6)

    where ΩRn(n1) is a bounded and smooth domain, ν denotes the outward unit normal vector on Ω, and χ,λ1,λ2,θ>0,0<α1θ,β2. Here, v1 is the cell density, v2 is the concentration of oxygen, and w is the indirect chemical signal produced by v1 to degrade v2. The diffusion functions ψ,ϕC2[0,) are assumed to satisfy

    ψ(s)a0(s+1)r1 and 0ϕ(s)b0s(s+1)r2, (1.7)

    for all s0 with a0,b0>0 and r1,r2R. In addition, the initial data v10 and v20 fulfill the following:

    v10,v20W1,(Ω)  with v10,v200,0 in Ω. (1.8)

    Theorem 1.1. Assume that χ,λ1,λ2,θ>0,0<α1θ, and β2, and that ΩRn(n1) is a smooth bounded domain. Let ψ,ϕC2[0,) satisfy (1.7). Suppose that the initial data v10 and v20 fulfill (1.8). It has been proven that if r1>2r2+1, then the problem (1.6) has a nonnegative classical solution

    (v1,v2,w)(C0(ˉΩ×[0,))C2,1(ˉΩ×(0,)))2×C2,0(ˉΩ×(0,)),

    which is globally bounded in the sense that

    v1(,t)L(Ω)+v2(,t)W1,(Ω)+w(,t)W1,(Ω)C,

    for all t>0, with C>0.

    Remark 1.2. Our main ideas are as follows. First, we obtain the L bound for v2 by the maximum principle of the parabolic equation. Next, we establish an estimate for the functional y(t):=1pΩ(v1+1)p+12pΩ|v2|2p for any p>1 and t>0. Finally, we can derive the global solvability of model (1.6).

    Remark 1.3. Theorem 1.1 shows that self-diffusion and logical source are advantageous for the boundedness of the solutions. In this manuscript, due to the indirect signal substance w that consumes oxygen, the aggregation of cells or bacterial is almost impossible when self-diffusion is stronger than cross-diffusion, namely r1>2r2+1. We can control the logical source to ensure the global boundedness of the solution for model (1.6). Thus, we can study the effects of the logistic source, the diffusion functions, and the nonlinear consumption mechanism on the boundedness of the solutions.

    In this section, we first state a lemma on the local existence of classical solutions. The proof can be proven by the fixed point theory. The readers can refer to [40,41] for more details.

    Lemma 2.1. Let the assumptions in Theorem 1.1 hold. Then, there exists Tmax(0,] such that the problem (1.6) has a nonnegative classical solution (v1,v2,w) that satisfies the following:

    (v1,v2,w)(C0(ˉΩ×[0,Tmax))C2,1(ˉΩ×(0,Tmax)))2×C2,0(ˉΩ×(0,Tmax)).

    Furthermore, if Tmax<, then

    lim suptTmax(v1(,t)L(Ω)+v2(,t)W1,(Ω))=.

    Lemma 2.2. (cf. [42]) Let ΩRn(n1) be a smooth bounded domain. For any s1 and ϵ>0, one can obtain

    Ω|z|2s2|z|2νϵΩ|z|2s2|D2z|2+CϵΩ|z|2s,

    for all zC2(ˉΩ) fulfilling zν|Ω=0, with Cϵ=C(ϵ,s,Ω)>0.

    Lemma 2.3. (cf. [43]) Let ΩRn(n1) be a bounded and smooth domain. For s1, we have

    Ω|z|2s+22(4s2+n)z2L(Ω)Ω|z|2s2|D2z|2,

    for all zC2(ˉΩ) fulfilling zν|Ω=0.

    Lemma 2.4. Let ΩRn(n1) be a bounded and smooth domain. For any zC2(Ω), one has the following:

    (Δz)2n|D2z|2,

    where D2z represents the Hessian matrix of z and |D2z|2=ni,j=1z2xixj.

    Proof. The proof can be found in [41, Lemma 3.1].

    Lemma 2.5. (cf. [44,45]) Let a1,a2>0. The non-negative functions fC([0,T))C1((0,T)) and yL1loc([0,T)) fulfill

    f(t)+a1f(t)y(t),  t(0,T),

    and

    t+τty(s)dsa2,  t(0,Tτ),

    where τ=min{1,T2} and T(0,]. Then, one deduces the following:

    f(t)f(0)+2a2+a2a1,  t(0,T).

    In this section, we provide some useful Lemmas to prove Theorem 1.1.

    Lemma 3.1. Let β>1, then, there exist M,M1,M2>0 such that

    v2(,t)L(Ω)M for all t(0,Tmax), (3.1)

    and

    Ωv1M1 for all t(0,Tmax). (3.2)

    Proof. By the parabolic comparison principle for v2t=Δv2wθ1v2, we can derive (3.1). Invoking the integration for the first equation of (1.6), one has the following:

    ddtΩv1=λ1Ωv1λ2Ωvβ1  for all t(0,Tmax). (3.3)

    Invoking the Hölder inequality, we obtain the following:

    ddtΩv1λ1Ωv1λ2|Ω|β1(Ωv1)β. (3.4)

    We can apply the comparison principle to deduce the following:

    Ωv1max{Ωv10,(λ1λ2)1β1|Ω|}=M1. (3.5)

    Thereupon, we complete the proof.

    Lemma 3.2. For any γ>1, we have the following:

    ΩwγC0Ωvαγ1  for all  t(0,Tmax), (3.6)

    where C0=2γ1+γ>0.

    Proof. For γ>1, multiplying equation 0=Δww+vα1 by wγ1, one obtain the following:

    0=(γ1)Ωwγ2|w|2Ωwγ+Ωvα1wγ1Ωvα1wγ1Ωwγ  for all t(0,Tmax). (3.7)

    By Young's inequality, it is easy to deduce the following:

    Ωvα1wγ1γ12γΩwγ+2γ11γΩvαγ1. (3.8)

    Thus, we arrive at (3.6) by combining (3.7) with (3.8).

    Lemma 3.3. Let the assumptions in Lemma 2.1 hold. For any p>max{1,1θ1}, there exists C>0 such that

    12pddtΩ|v2|2p+12pΩ|v2|2p+14Ω|v2|2p2|D2v2|2CΩvθα(p+1)1+C, (3.9)

    for all t(0,Tmax).

    Proof. Using the equation v2t=Δv2wθ1v2, we obtain the following:

    v2v2t=v2Δv2v2(wθv2)=12Δ|v2|2|D2v2|2v2(wθv2), (3.10)

    where we used the equality v2Δv2=12Δ|v2|2|D2v2|2. Testing (3.10) by |v2|2p2 and integrating by parts, we derive the following:

    12pddtΩ|v2|2p+Ω|v2|2p2|D2v2|2+12pΩ|v2|2p=12Ω|v2|2p2Δ|v2|2+Ω|v2|2pΩ|v2|2p2v2(wθv2)=I1+12pΩ|v2|2p+I2. (3.11)

    Using Lemma 2.3 and (3.1), one has the following:

    Ω|v2|2p+2C1Ω|v2|2p2|D2v2|2  for all t(0,Tmax), (3.12)

    where C1=2(4p2+n)M2. In virtue of Lemma 2.2, Young's inequality, and (3.12), an integration by parts produces the following:

    I1+12pΩ|v2|2p=12Ω|v2|2p2Δ|v2|2+12pΩ|v2|2p=12Ω|v2|2p2|v2|2ν12Ω|v2|2p2|v2|2+12pΩ|v2|2p14Ω|v2|2p2|D2v2|2+C2Ω|v2|2pp12Ω|v2|2p4||v2|2|214Ω|v2|2p2|D2v2|2+14C1Ω|v2|2p+2+C312Ω|v2|2p2|D2v2|2+C3  for all t(0,Tmax), (3.13)

    with C2,C3>0. Due to |Δv2|n|D2v2|, we can conclude from (3.1) and the integration by parts that

    I2=Ω|v2|2p2v2(wθv2)=Ωwθv2(v2|v2|2p2)Ωwθv2(Δv2|v2|2p2+(2p2)|v2|2p2|D2v2|)Ω(n+2(p2))Mwθ|v2|2p2|D2v2|=C4Ωwθ|v2|2p2|D2v2|  for all t(0,Tmax), (3.14)

    with C4=(n+2(p2))M>0. Due to p>max{1,1θ1}, we have θ(p+1)>1. With applications of Young's inequality, (3.12), and Lemma 3.2, we obtain the following from (3.14):

    C4Ωwθ|v2|2p2|D2v2|18Ω|v2|2p2|D2v2|2+C5Ωw2θ|v2|2p218Ω|v2|2p2|D2v2|2+18C1Ω|v2|2p+2+C6Ωwθ(p+1)14Ω|v2|2p2|D2v2|2+C7Ωwθ(p+1)14Ω|v2|2p2|D2v2|2+C8Ωvθα(p+1)1, (3.15)

    with C5,C6,C7,C8>0. Substituting (3.13) and (3.15) into (3.11), we derive the following:

    12pddtΩ|v2|2p+12pΩ|v2|2p+14Ω|v2|2p2|D2v2|2C8Ωvθα(p+1)1+C3, (3.16)

    for all t(0,Tmax). Thereupon, we complete the proof.

    Lemma 3.4. Let the assumptions in Lemma 2.1 hold. If r1>2r2+1, then for any p>1, we obtain the following:

    1pddtΩ(v1+1)p+1pΩ(v1+1)p14Ω|v2|2p2|D2v2|2+(C+λ1+1p)Ω(v1+1)pλ2Ωvp+β11+C, (3.17)

    for all t(0,Tmax), with C>0.

    Proof. Testing the first equation of problem (1.6) by (v1+1)p1, one can obtain the following:

    1pddtΩ(v1+1)p+1pΩ(v1+1)p=(p1)Ω(v1+1)p2ψ(v1)|v1|2+1pΩ(v1+1)p+χ(p1)Ω(v1+1)p2ϕ(v1)v1v2+λ1Ωv1(v1+1)p1λ2Ωvβ1(v1+1)p1, (3.18)

    for all t(0,Tmax). In view of (1.7), the first term on the right-hand side of (3.18) can be estimated as follows:

    (p1)Ω(v1+1)p2ψ(v1)|v1|2(p1)a0Ω(v1+1)p+r12|v1|2. (3.19)

    For the second term on the right-hand side of (3.18), we can see that

    χ(p1)Ω(v1+1)p2ϕ(v1)v1v2χ(p1)b0Ωv1(v1+1)p+r22v1v2. (3.20)

    We can obtain the following from Young's inequality:

    χ(p1)b0Ωv1(v1+1)p+r22v1v2χ(p1)b0Ω(v1+1)p+r21v1v2(p1)a0Ω(v1+1)p+r12|v1|2+C1Ω(v1+1)p+2r2r1|v2|2, (3.21)

    with C1>0. Utilizing Young's inequality and (3.12), one has the following:

    C1Ω(v1+1)p+2r2r1|v2|218(4p2+n)M2Ω|v2|2(p+1)+C2Ω(v1+1)(p+1)(p+2r2r1)p14Ω|v2|2p2|D2v2|2+C2Ω(v1+1)(p+1)(p+2r2r1)p, (3.22)

    where C2>0. Due to r1>2r2+1, for any p>1>r12r22r2r1+1, we can obtain (p+1)(p+2r2r1)p<p. Applying Young's inequality, we obtain the following:

    C2Ω(v1+1)(p+1)(p+2r2r1)pC3Ω(v1+1)p+C3, (3.23)

    where C3>0. Hence, substituting (3.19)–(3.23) into (3.18), one obtains the following:

    1pddtΩ(v1+1)p+1pΩ(v1+1)p14Ω|v2|2p2|D2v2|2+(C3+λ1+1p)Ω(v1+1)pλ2Ωvp+β11+C4, (3.24)

    for all t(0,Tmax), where C4>0.

    Lemma 3.5. Let the assumptions in Lemma 2.1 hold. If r1>2r2+1, then for any p>max{1,1θ1}, we obtain the following:

    Ω(v1+1)p+Ω|v2|2pC, (3.25)

    where C>0.

    Proof. We can combine Lemma 3.3 with Lemma 3.4 to infer the following:

    ddt(1pΩ(v1+1)p+12pΩ|v2|2p)+1pΩ(v1+1)p+12pΩ|v2|2pC1Ωvθα(p+1)1+(C1+λ1+1p)Ω(v1+1)pλ2Ωvp+β11+C1, (3.26)

    where C1>0. Due to 0<α1θ and β2, we can obtain θα(p+1)p+1p+β1. Using Young's inequality, we can obtain the following:

    C1Ωvθα(p+1)1λ22Ωvp+β11+C2, (3.27)

    where C2>0. By the inequality (w+s)κ2κ(wκ+sκ) with w,s>0 and κ>1, we deduce the following:

    (C1+λ1+1p)Ω(v1+1)pλ22Ωvp+β11+C3, (3.28)

    where C3>0, where we have applied Young's inequality. Thus, we obtain the following:

    ddt(1pΩ(v1+1)p+12pΩ|v2|2p)+1pΩ(v1+1)p+12pΩ|v2|2pC4, (3.29)

    where C4>0. Therefore, we can obtain (3.25) by Lemma 2.5. Thereupon, we complete the proof.

    The proof of Theorem 1.1. Recalling Lemma 3.5, for any p>max{1,1θ1}, and applying the Lpestimates of elliptic equation, there exists C1>0 such that

    supt(0,Tmax)w(,t)W2,pα(Ω)C1  for all t(0,Tmax). (3.30)

    The Sobolev imbedding theorem enables us to obtain the following:

    supt(0,Tmax)w(,t)W1,(Ω)C2  for all t(0,Tmax), (3.31)

    with C2>0. Besides, using the well-known heat semigroup theory to the second equation in system (1.6), we can find C3>0 such that

    v2(,t)W1,(Ω)C3  for all t(0,Tmax). (3.32)

    Therefore, using the Moser-iteration[17], we can find C4>0 such that

    v1(,t)L(Ω)C4  for all t(0,Tmax). (3.33)

    Based on (3.31)–(3.33), we can find C5>0 that fulfills the following:

    v1(,t)L(Ω)+v2(,t)W1,(Ω)+w(,t)W1,(Ω)C5, (3.34)

    for all t(0,Tmax). According to Lemma 2.1, we obtain Tmax=. Thereupon, we complete the proof of Theorem 1.1.

    In this manuscript, based on the model established in [35], we further considered that self-diffusion and cross-diffusion are nonlinear functions, as well as the mechanism of nonlinear generation and consumption of the indirect signal substance w. We mainly studied the effects of diffusion functions, the logical source, and the nonlinear consumption mechanism on the boundedness of solutions, which enriches the existing results of chemotaxis consumption systems. Compared with previous results [29,32], the novelty of this manuscript is that our boundedness conditions are more generalized and do not depend on spatial dimension or the sizes of v20L(Ω) established in [32], which may be more in line with the real biological environment. In addition, we will further explore interesting problems related to system (1.6) in our future work, such as the qualitative analysis of system (1.6), the global classical solvability for full parabolic of system (1.6), and so on.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    This work was partially supported by the National Natural Science Foundation of China (No. 12271466, 11871415).

    The authors declare there is no conflict of interest.


    Acknowledgments



    The authors would like to thank the Kerman University of Medical Sciences (KMU) for facilitating research into this study.

    Conflict of interest



    Ibrahim M. Banat is an editorial boardmember for AIMS Microbiology and was not involved inthe editorial review or the decision to publish this article. All authors declare that there are no competing interests.

    Author contributions



    Marzieh Sajadi Bami, Payam Khazaeli, Mandana Ohadi, and Shayan Fakhraei Lahiji provided the general concept and wrote the manuscript. Marzieh Sajadi Bami and Gholamreza Dehghannoudeh prepared table and edited the text. Ibrahim M. Banat and Mandana Ohadi revised the manuscript and provided further editing and concepts. All authors have read and agreed to the published version of the manuscript.

    [1] Kirkby M, Moffatt KJ, Hutton AR, et al. (2021) Assessment of microneedles for transdermal drug delivery. Percutaneous Absorption . Boca Raton: CRC Press 543-576. https://doi.org/10.1201/9780429202971-39
    [2] Ma Y, Li CG, Kim S, et al. (2018) An insulin microneedle pen (imp) for self-subcutaneous insulin injection. Adv Mater Technol 3: 1800234. https://doi.org/10.1002/admt.201800234
    [3] Gill HS, Prausnitz MR (2007) Coated microneedles for transdermal delivery. J Control Release 117: 227-237. https://doi.org/10.1016/j.jconrel.2006.10.017
    [4] Guillot AJ, Cordeiro AS, Donnelly RF, et al. (2020) Microneedle-based delivery: An overview of current applications and trends. Pharmaceutics 12: 569. https://doi.org/10.3390/pharmaceutics12060569
    [5] Ingrole RS, Gill HS (2019) Microneedle coating methods: A review with a perspective. J Pharmacol Exp Ther 370: 555-569. https://doi.org/10.1124/jpet.119.258707
    [6] Tucak A, Sirbubalo M, Hindija L, et al. (2020) Microneedles: Characteristics, materials, production methods and commercial development. Micromachines 11: 961. https://doi.org/10.3390/mi11110961
    [7] Bejeshk MA, Rajizadeh MA, Yari A, et al. (2024) Lipopeptide biosurfactant produced by Acinetobacter junii B6 attenuates lung inflammatory, oxidative, and histopathological alterations due to asthma in rats. Int J Pept Res Ther 30: 9. https://doi.org/10.1007/s10989-024-10586-x
    [8] Levis S, Deasy P (2001) Pharmaceutical applications of size reduced grades of surfactant co-processed microcrystalline cellulose. Int J Pharm 230: 25-33. https://doi.org/10.1016/s0378-5173%2801%2900843-2
    [9] Adu SA, Twigg MS, Naughton PJ, et al. (2023) Characterisation of cytotoxicity and immunomodulatory effects of glycolipid biosurfactants on human keratinocytes. Appl Microbiol Biotechnol 107: 137-152. https://doi.org/10.1007/s00253-022-12302-5
    [10] Han M, Hyun DH, Park HH, et al. (2007) A novel fabrication process for out-of-plane microneedle sheets of biocompatible polymer. J Micromech Microeng 17: 1184. https://doi.org/10.1088/0960-1317/17/6/012
    [11] Gupta N, Gupta A (2021) A review on herbal excipients. Int J indig herbs drugs 6: 05-08. https://doi.org/10.46956/ijihd.vi.111
    [12] Manga EB, Celik PA, Cabuk A, et al. (2021) Biosurfactants: Opportunities for the development of a sustainable future. Curr Opin Colloid Interface Sci 56: 101514. https://doi.org/10.1016/j.cocis.2021.101514
    [13] Marchant R, Banat IM (2012) Biosurfactants: A sustainable replacement for chemical surfactants?. Biotechnol Lett 34: 1597-1605. https://doi.org/10.1007/s10529-012-0956-x
    [14] Afsharipour S, Kavianipoor S, Ranjbar M, et al. (2023) Fabrication and characterization of lipopeptide biosurfactant-based electrospun nanofibers for use in tissue engineering. Ann Pharm Fr 81: 968-976. https://doi.org/10.1016/j.pharma.2023.08.008
    [15] Sałek K, Euston SR (2019) Sustainable microbial biosurfactants and bioemulsifiers for commercial exploitation. Process Biochem 85: 143-155. https://doi.org/10.1016/j.procbio.2019.06.027
    [16] Liu K, Sun Y, Cao M, et al. (2020) Rational design, properties, and applications of biosurfactants: A short review of recent advances. Curr Opin Colloid Interface Sci 45: 57-67. https://doi.org/10.1016/j.cocis.2019.12.005
    [17] Groenendijk DJ, van Wunnik JN (2021) The impact of micelle formation on surfactant adsorption–desorption. ACS omega 6: 2248-2254. https://doi.org/10.1021/acsomega.0c05532
    [18] Serri C, de Gennaro B, Catalanotti L, et al. (2016) Surfactant-modified phillipsite and chabazite as novel excipients for pharmaceutical applications?. Microporous Mesoporous Mater 224: 143-148. https://doi.org/10.1016/j.micromeso.2015.11.023
    [19] Abruzzo A, Parolin C, Corazza E, et al. (2021) Influence of lactobacillus biosurfactants on skin permeation of hydrocortisone. Pharmaceutics 13: 820. https://doi.org/10.3390/pharmaceutics13060820
    [20] Jozanović M, Sakač N, Karnaš M, et al. (2021) Potentiometric sensors for the determination of anionic surfactants–A review. Crit Rev Anal Chem 51: 115-137. https://doi.org/10.1080/10408347.2019.1684236
    [21] Aguirre-Ramírez M, Silva-Jiménez H, Banat IM, et al. (2021) Surfactants: physicochemical interactions with biological macromolecules. Biotechnol Lett 43: 523-535. https://doi.org/10.1007/s10529-020-03054-1
    [22] Ceresa C, Fracchia L, Sansotera AC, et al. (2023) Harnessing the potential of biosurfactants for biomedical and pharmaceutical applications. Pharmaceutics 15: 2156. https://doi.org/10.3390/pharmaceutics15082156
    [23] Koehl NJ, Holm R, Kuentz M, et al. (2020) Exploring the impact of surfactant type and digestion: Highly digestible surfactants improve oral bioavailability of nilotinib. Mol Pharmaceutics 17: 3202-3213. https://doi.org/10.1021/acs.molpharmaceut.0c00305
    [24] Jahan R, Bodratti AM, Tsianou M, et al. (2020) Biosurfactants, natural alternatives to synthetic surfactants: Physicochemical properties and applications. Adv Colloid Interface Sci 275: 102061. https://doi.org/10.1016/j.cis.2019.102061
    [25] Cortés H, Hernández-Parra H, Bernal-Chávez SA, et al. (2021) Non-ionic surfactants for stabilization of polymeric nanoparticles for biomedical uses. Materials 14: 3197. https://doi.org/10.3390/ma14123197
    [26] Muhammed NS, Olayiwola T, Elkatatny S, et al. (2021) Insights into the Application of surfactants and nanomaterials as shale inhibitors for water-based drilling fluid: A review. J Nat Gas Sci Eng : 103987. https://doi.org/10.1016/j.jngse.2021.10398727
    [27] Markande AR, Patel D, Varjani S (2021) A review on biosurfactants: properties, applications and current developments. Bioresour Technol 124963. https://doi.org/10.1016/j.biortech.2021.124963
    [28] Bami MS, Khazaeli P, Forootanfar H, et al. (2020) Isolation and identification of biosurfactant producing bacterial strain from saline soil samples in iran; evaluation of factors on biosurfactant production. Jundishapur J Nat Pharm Prod 15. https://doi.org/10.5812/jjnpp.96798
    [29] Elsoud MMAA (2021) Classification and production of microbial surfactants. Microbial Biosurfactants: Environmental and Microbial Biotechnology . Singapore: Springer 65-89. https://doi.org/10.1007/978-981-15-6607-3_4
    [30] De S, Malik S, Ghosh A, et al. (2015) A review on natural surfactants. RSC advances 5: 65757-65767. https://doi.org/10.1039/c5ra11101c
    [31] Marchant R, Banat IM (2012) Microbial biosurfactants: challenges and opportunities for future exploitation. Trends Biotechnol 30: 558-565. https://doi.org/10.1016/j.tibtech.2012.07.003
    [32] Imam A, Suman SK, Kanaujia PK, et al. (2021) Biological machinery for polycyclic aromatic hydrocarbons degradation: A review. Bioresour Technol 126121. https://doi.org/10.1016/j.biortech.2021.126121
    [33] Puyol McKenna P, Naughton PJ, Dooley JS, et al. (2024) Microbial biosurfactants: antimicrobial activity and potential biomedical and therapeutic exploits. Pharmaceuticals 17: 138. https://doi.org/10.3390/ph17010138
    [34] Sarubbo LA, Maria da Gloria CS, Durval IJB, et al. (2022) Biosurfactants: Production, properties, applications, trends, and general perspectives. Biochem Eng J 181: 108377. https://doi.org/10.1016/j.bej.2022.108377
    [35] Ceresa C, Fracchia L, Fedeli E, et al. (2021) Recent advances in biomedical, therapeutic and pharmaceutical applications of microbial surfactants. Pharmaceutics 13: 466. https://doi.org/10.3390/pharmaceutics13040466
    [36] Al-Wahaibi Y, Joshi S, Al-Bahry S, et al. (2014) Biosurfactant production by Bacillus subtilis B30 and its application in enhancing oil recovery. Colloids Surf B Biointerfaces 114: 324-333. https://doi.org/10.1016/j.colsurfb.2013.09.022
    [37] Kumar PS, Ngueagni PT (2021) A review on new aspects of lipopeptide biosurfactant: Types, production, properties and its application in the bioremediation process. J Hazard Mater 407: 124827. https://doi.org/10.1016/j.jhazmat.2020.124827
    [38] López-Prieto A, Moldes AB, Cruz JM, et al. (2020) Towards more ecofriendly pesticides: use of biosurfactants obtained from the corn milling industry as solubilizing agent of copper oxychloride. J Surfactants Deterg 23: 1055-1066. https://doi.org/10.1002/jsde.12463
    [39] Hu X, Qiao Y, Chen LQ, et al. (2020) Enhancement of solubilization and biodegradation of petroleum by biosurfactant from Rhodococcus erythropolis HX-2. Geomicrobiol J 37: 159-169. https://doi.org/10.1080/01490451.2019.1678702
    [40] Gupta S, Raghuwanshi N, Varshney R, et al. (2017) Accelerated in vivo wound healing evaluation of microbial glycolipid containing ointment as a transdermal substitute. Biomed Pharmacother 94: 1186-1196. https://doi.org/10.1016/j.biopha.2017.08.010
    [41] Adu SA, Naughton PJ, Marchant R, et al. (2020) Microbial biosurfactants in cosmetic and personal skincare pharmaceutical formulations. Pharmaceutics 12: 1099. https://doi.org/10.3390/pharmaceutics12111099
    [42] Bezerra KGO, Rufino RD, Luna JM, et al. (2018) Saponins and microbial biosurfactants: Potential raw materials for the formulation of cosmetics. Biotechnol Prog 34: 1482-1493. https://doi.org/10.1002/btpr.2682
    [43] Naughton P, Marchant R, Naughton V, et al. (2019) Microbial biosurfactants: current trends and applications in agricultural and biomedical industries. J Appl Microbiol 127: 12-28. https://doi.org/10.1111/jam.14243
    [44] de Gusmao CA, Rufino RD, Sarubbo LA (2010) Laboratory production and characterization of a new biosurfactant from Candida glabrata UCP1002 cultivated in vegetable fat waste applied to the removal of hydrophobic contaminant. World J Microbiol Biotechnol 26: 1683-1692. https://doi.org/10.1007/s11274-010-0346-2
    [45] Solaiman D, Ashby R, Birbir M, et al. (2016) Antibacterial activity of sophorolipids produced by Candida bombicola Gram-positive and Gram-negative bacteria isolated from salted hides. J Am Leather Chem Assoc 111: 358-364. Available from: https://journals.uc.edu/index.php/JALCA/article/view/3644/2836
    [46] Adu SA, Twigg MS, Naughton PJ, et al. (2023) Purified Acidic sophorolipid biosurfactants in skincare applications: An assessment of cytotoxic effects in comparison with synthetic surfactants using a 3D in vitro human skin model. Fermentation 9: 985. https://doi.org/10.3390/fermentation9110985
    [47] Kim CH, Lee DW, Heo YM, et al. (2019) Desorption and solubilization of anthracene by a rhamnolipid biosurfactant from Rhodococcus fascians. Water Environ Res 91: 739-747. https://doi.org/10.1002/wer.1103
    [48] Elshikh M, Moya-Ramírez I, Moens H, et al. (2017) Rhamnolipids and lactonic sophorolipids: natural antimicrobial surfactants for oral hygiene. J Appl Microbiol 123: 1111-1123. https://doi.org/10.1111/jam.13550
    [49] Morikawa M, Daido H, Takao T, et al. (1993) A new lipopeptide biosurfactant produced by Arthrobacter sp. strain MIS38. J Bacteriol 175: 6459-6466. https://doi.org/10.1128/jb.175.20.6459-6466.1993
    [50] De Gregorio PR, Parolin C, Abruzzo A, et al. (2020) Biosurfactant from vaginal Lactobacillus crispatus BC1 as a promising agent to interfere with Candida adhesion. Microb cell fact 19: 1-16. https://doi.org/10.1186/s12934-020-01390-5
    [51] Meena KR, Sharma A, Kanwar SS (2020) Antitumoral and antimicrobial activity of surfactin extracted from Bacillus subtilis KLP2015. Int J Pept Res Ther 26: 423-433. https://doi.org/10.1007/s10989-019-09848-w
    [52] Kapoor D, Maheshwari R, Verma K, et al. (2020) Coating technologies in pharmaceutical product development. Drug Delivery Systems . New York: Academic Press 665-719. https://doi.org/10.1016/b978-0-12-814487-9.00014-4
    [53] Ruba I, Zain B, Ildikó C (2021) Regulatory status quo and prospects for biosurfactants in pharmaceutical applications. Drug Discov Today 26: 1929-1935. https://doi.org/10.1016/j.drudis.2021.03.029
    [54] DeMerlis C, Goldring J, Velagaleti R, et al. (2009) Regulatory update: the IPEC novel excipient safety evaluation procedure. Pharm Technol 33: 72-82. Available from: https://www.pharmtech.com/view/regulatory-update-ipec-novel-excipient-safety-evaluation-procedure
    [55] Saluja V, Sekhon BS (2016) The regulation of pharmaceutical excipients. J Excip Food Chem 4: 1049. Available from: https://jefc.scholasticahq.com/article/1049
    [56] Ohadi M, Dehghannoudeh G, Shakibaie M, et al. (2017) Isolation, characterization, and optimization of biosurfactant production by an oil-degrading Acinetobacter junii B6 isolated from an Iranian oil excavation site. Biocatal Agric Biotechnol 12: 1-9. https://doi.org/10.1016/j.bcab.2017.08.007
    [57] Adu SA, Twigg MS, Naughton PJ, et al. (2022) Biosurfactants as anticancer agents: Glycolipids affect skin cells in a differential manner dependent on chemical structure. Pharmaceutics 14: 360. https://doi.org/10.3390/pharmaceutics14020360
    [58] Rodríguez-López L, Shokry DS, Cruz JM, et al. (2019) The effect of the presence of biosurfactant on the permeation of pharmaceutical compounds through silicone membrane. Colloids Surf B Biointerfaces 176: 456-461. https://doi.org/10.1016/j.colsurfb.2018.12.072
    [59] Bjerk TR, Severino P, Jain S, et al. (2021) Biosurfactants: Properties and applications in drug delivery, biotechnology and ecotoxicology. Bioengineering 8: 115. https://doi.org/10.3390/bioengineering8080115
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