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Research article

Risk assessment and integrated process modeling–an improved QbD approach for the development of the bioprocess control strategy

  • A Process characterization is a regulatory imperative for process validation within the biopharmaceutical industry. Several individual steps must be conducted to achieve the final control strategy. For that purpose, tools from the Quality by Design (QbD) toolbox are often considered. These tools require process knowledge to conduct the associated data analysis. They include cause and effect analysis, multivariate data analysis, risk assessment and design space evaluation. However, this approach is limited to the evaluation of single unit operations. This is risky as the interactions of the operations may render the control strategy invalid. Hence, a holistic process evaluation is required. Here, we present a novel workflow that shows how simple data analysis tools can be used to investigate the process holistically. This results in a significant reduction of the experimental effort and in the development of an integrated process control strategy. This novel QbD workflow is based on a novel combination of risk assessment and integrated process modeling. We demonstrate this workflow in a case study and show that the herein presented approach can be applied to any biopharmaceutical process. We demonstrate a workflow that can reduce the number of factors and increase the amount of responses within a Design of Experiments (DoE). Consequently, this result demonstrates that experimental costs and time can be reduced by investing more time in thoughtful data analysis.

    Citation: Daniel Borchert, Diego A. Suarez-Zuluaga, Yvonne E. Thomassen, Christoph Herwig. Risk assessment and integrated process modeling–an improved QbD approach for the development of the bioprocess control strategy[J]. AIMS Bioengineering, 2020, 7(4): 254-271. doi: 10.3934/bioeng.2020022

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  • A Process characterization is a regulatory imperative for process validation within the biopharmaceutical industry. Several individual steps must be conducted to achieve the final control strategy. For that purpose, tools from the Quality by Design (QbD) toolbox are often considered. These tools require process knowledge to conduct the associated data analysis. They include cause and effect analysis, multivariate data analysis, risk assessment and design space evaluation. However, this approach is limited to the evaluation of single unit operations. This is risky as the interactions of the operations may render the control strategy invalid. Hence, a holistic process evaluation is required. Here, we present a novel workflow that shows how simple data analysis tools can be used to investigate the process holistically. This results in a significant reduction of the experimental effort and in the development of an integrated process control strategy. This novel QbD workflow is based on a novel combination of risk assessment and integrated process modeling. We demonstrate this workflow in a case study and show that the herein presented approach can be applied to any biopharmaceutical process. We demonstrate a workflow that can reduce the number of factors and increase the amount of responses within a Design of Experiments (DoE). Consequently, this result demonstrates that experimental costs and time can be reduced by investing more time in thoughtful data analysis.


    Fractional differential equations frequently appear in the mathematical modelling of many physical and engineering problems. One can find the potential application of fractional-order operators in malaria and HIV/AIDS model [1], bioengineering [2], ecology [3], viscoelasticity [4], fractional dynamical systems [5,6] and so forth. Influenced by the practical applications of fractional calculus tools, many researchers turned to the further development of this branch of mathematical analysis. For the theoretical background of fractional derivatives and integrals, we refer the reader to the texts [7], while a detailed account of fractional differential equations can be found in [8,9,10]. In a recent monograph [11], the authors presented several results on initial and boundary value problems of Hadamard-type fractional differential equations and inclusions.

    Fractional-order differential equations equipped with a variety of boundary conditions have been studied in the last few decades. The literature on the topic includes the existence and uniqueness results related to classical, periodic/anti-periodic, nonlocal, multi-point, and integral boundary conditions; for instance, see [12,13,14,15,16,17,18,19,20,21] and the references therein.

    Recently, in [22], Ahmad et al. considered a boundary value problem involving sequential fractional derivatives given by

    (cDq+μcDq1)x(t)=f(t,x(t),cDκx(t)),μ>0,0<κ<1,1<q2,t(0,1), (1.1)

    supplemented with nonlocal integro-multipoint boundary conditions:

    {ρ1x(0)+ρ2x(1)=m2i=1αix(σi)+p2j=1rjηjξjx(s)ds,ρ3x(0)+ρ4x(1)=m2i=1δix(σi)+p2j=1γjηjξjx(s)ds,0<σ1<σ2<<σm2<<ξ1<η1<ξ2<η2<<ξp2<ηp2<1, (1.2)

    where cDq,cDκ denote the Caputo fractional derivative of order q and κ respectively (for the definition of Caputo fractional derivative, see Definition 2.2), f is a given continuous function, ρp(p=1,2,3,4) are real constants and αi,δi(i=1,2,,m2),rj,γj(j=1,2,,p2), are positive real constants. Existence and uniqueness results for the problem (1.2) were proved by using the fixed point theorems due to Banach and Krasnoselskii.

    In [23], Ahmad et al. studied the existence and uniqueness of solutions for a new class of boundary value problems for multi-term fractional differential equations supplemented with four-point boundary conditions

    {λCDαx(t)+CDβx(t)=f(t,x(t)),tJ:=(0,T),x(ξ)=νCDγx(η),x(T)=μIδx(θ),0<ξ,η,θ<T, (1.3)

    where CDχ is Caputo fractional derivatives of order χ{α,β,γ}, λ,ν,μR, 1<α2, 1<β<α, 0γ<αβ<1, δ>0, Iδ is the Riemann-Liouville fractional integral of order δ, and f:[0,T]×RR is a continuous function.

    In [24], the authors studied the existence of solutions for a nonlinear Liouville-Caputo-type fractional differential equation on an arbitrary domain:

    cDqax(t)=f(t,x(t)),3<q4, t(a,b), (1.4)

    supplemented with non-conjugate Riemann-Stieltjes integro-multipoint boundary conditions of the form:

    x(a)=n2i=1αix(ηi)+bax(s)dA(s), x(a)=0, x(b)=0, x(b)=0, (1.5)

    where cDqa denotes the Caputo fractional derivative of order q, a<η1<η2<<ηn2<b, f:[a,b]×RR is a given continuous function, A is a function of bounded variation, and αiR, i=1,2,,n2.

    In the present paper, we investigate the existence of solutions for an abstract nonlinear multi-term Caputo fractional differential equation with nonlinearity depending on the unknown function together with its lower-order Caputo fractional derivatives given by

    μcDqax(t)+ξcDrax(t)=f(t,x(t),cDpax(t),cDp+1ax(t)),3<q4,0<p,r1,t(a,b), (1.6)

    supplemented with Riemann-Stieltjes integro-multipoint boundary conditions

    x(a)=n2i=1αix(ηi)+bax(s)dA(s), x(a)=0, x(b)=0, x(b)=0, (1.7)

    where cDθa denotes the Caputo fractional differential operator of order θ with θ=q,r,p, a<η1<η2<<ηn2<b, f:[a,b]×R3R is a given continuous function, A is a function of bounded variation, and μ(μ0),ξ,αiR, i=1,2,,n2.

    The rest of the paper is arranged as follows. In section 2, we prove a basic result related to the linear variant of the problem (1.6)-(1.7), which plays a key role in the forthcoming analysis. We also recall some basic concepts of fractional calculus. The existence result is presented in Section 3, while the uniqueness result in Section 4. Examples illustrating the obtained results are also presented. The paper concludes with Section 5 with some interesting observations.

    Before presenting an auxiliary lemma, we recall some basic definitions of fractional calculus [8].

    Definition 2.1. The Riemann-Liouville fractional integral of order σ with lower limit a for function ϕ is defined as

    Iσaϕ(t)=1Γ(σ)ta(ts)σ1ϕ(s)ds, σ>a,

    provided the integral exists.

    Definition 2.2. For (n-1)-times absolutely continuous function ϕ:(a,)R, the Caputo derivative of fractional order σ is defined as

    cDσaϕ(t)=1Γ(nσ)ta(ts)nσ1ϕ(n)(s)ds, n1<σn, n=[σ]+1,

    where [σ] denotes the integer part of the real number σ.

    In passing we remark that we write cDσa and Iσa as cDσ and Iσ respectively when a=0.

    Lemma 2.1. [8] For n1<q<n, the general solution of the fractional differential equation cDqax(t)=0,t(a,b), is

    x(t)=c0+c1(ta)+c2(ta)2++cn1(ta)n1,

    where ciR,i=0,1,,n1. Furthermore,

    IqacDqax(t)=x(t)+n1i=0ci(ta)i.

    Lemma 2.2. Let ψC([a,b]). Then the unique solution of the linear multi-term fractional differential equation

    μcDqax(t)+ξcDrax(t)=ψ(t), 3<q4,0<r<1, t(a,b), (2.1)

    subject to the boundary conditions (1.7) is given by

    x(t)=ξμIqrax(t)+1μIqaψ(t)+1μ[ϕ1(t)(ξIqrax(b)Iqaψ(b))+ϕ2(t)(ξIqr1ax(b)Iq1aψ(b))+ϕ3(t)(ξn2i=1αiIqrax(ηi)n2i=1αiIqaψ(ηi)+ξbaIqrax(s)dA(s)baIqaψ(s)dA(s))], (2.2)

    where

    ϕi(t)=(ta)3σi+(ta)2δi+λi,i=1,2,3, (2.3)
    λ1=1(ba)3σ1(ba)2δ1,λj=(ba)3σj(ba)2δj,j=2,3, (2.4)
    δ1=3(ba)σ12,δ2=13(ba)2σ22(ba),δ3=3(ba)σ32, (2.5)
    σ1=2A1γ1,σ2=2γ2γ1,σ3=2γ1, (2.6)
    γ1=(ba)3A13(ba)A2+2A3,γ2=(ba)2A1A22(ba), (2.7)
    A1=n2i=1αi+badA(s)1,A2=n2i=1αi(ηia)2+ba(sa)2dA(s), (2.8)
    A3=n2i=1αi(ηia)3+ba(sa)3dA(s), (2.9)

    and it is assumed that γ10.

    Proof. Applying the integral operator Iqa on both sides of fractional differential equation (2.1) and using Lemma 2.1, we get

    x(t)=ξμIqrax(t)+1μIqaψ(t)+c0+c1(ta)+c2(ta)2+c3(ta)3, (2.10)
    x(t)=ξμIqr1ax(t)+1μIq1aψ(s)+c1+2c2(ta)+3c3(ta)2, (2.11)

    where ciR,i=0,1,2,3 are unknown arbitrary constants. Using the boundary conditions (1.7) in (2.10) and (2.11), we obtain c1=0 and

    c0+(ba)2c2+(ba)3c3=J1, (2.12)
    2(ba)c2+3(ba)2c3=J2, (2.13)
    A1c0+A2c2+A3c3=J3, (2.14)

    where Ai(i=1,2,3) are given by (2.8), (2.9) and

    J1=1μ(ξIqrax(b)Iqaψ(b)),J2=1μ(ξIqr1ax(b)Iq1aψ(b)),J3=1μ(ξn2i=1αiIqrax(ηi)n2i=1αiIqaψ(ηi)+ξbaIqrax(s)dA(s)baIqaψ(s)dA(s)). (2.15)

    Eliminating c0 from (2.12) and (2.14), we get

    (A2(ba)2A1)c2+(A3(ba)3A1)c3=J3A1J1. (2.16)

    Solving (2.13) and (2.16), we find that

    c2=δ1J1+δ2J2+δ3J3, (2.17)
    c3=σ1J1+σ2J2+σ3J3, (2.18)

    where δi and σi(i=1,2,3) are defined by (2.5) and (2.6) respectively. Using (2.17) and (2.18) in (2.12), we get

    c0=λ1J1+λ2J2+λ3J3, (2.19)

    where λi(i=1,2,3) are given by (2.4). Inserting the values of c0,c1,c2 and c3 in (2.10) together with notations (2.3), we obtain the solution (2.2). The converse of the lemma follows by direct computation.

    Now we recall some preliminary concepts from functional analysis related to our work.

    Definition 2.3. Let Ω be a bounded set in metric space (Y,d). The Kuratowski measure of noncompactness, α(Ω), is defined as

    inf{ε:Ωcovered by a finitely many sets such that the diameter of each setε}.

    Definition 2.4. [25] Let J:D(J)YY be a bounded and continuous operator on Banach space Y. Then J is called a condensing map if α(J(A))<α(A) for all bounded sets AD(J), where α denotes the Kuratowski measure of noncompactness.

    Lemma 2.3. [26] The map F+G is a k-set contraction with 0k<1, and thus also condensing, if the following conditions hold:

    (i) F,G:DYY are operators on the Banach space Y;

    (ii) F is k-contractive, that is, for all x,yD and a fixed k[0,1), FxFykxy;

    (iii) G is compact.

    Lemma 2.4. (Sadovskii Theorem [27]) Let A be a convex, bounded and closed subset of a Banach space Y and J:AA be a condensing map. Then J has a fixed point.

    For 0<p1, let A={x:x,cDpax(t),cDp+1ax(t)C([a,b],R)} denote the Banach space of all continuous functions from [a,b]R endowed with the norm defined by

    x=supt[a,b]{|x(t)|+|cDpax(t)|+|cDp+1ax(t)|}. (3.1)

    In view of Lemma 2.2, we transform the problem (1.6)-(1.7) into an equivalent fixed point problem as

    x=Fx, (3.2)

    where F:AA is defined by

    (Fx)(t)=ξμIqrax(t)+1μIqaˆf(x(t))+ϕ1(t)μ[ξba(bs)qr1Γ(qr)x(s)dsba(bs)q1Γ(q)ˆf(x(s))ds]+ϕ2(t)μ[ξba(bs)qr2Γ(qr1)x(s)dsba(bs)q2Γ(q1)ˆf(x(s))ds]+ϕ3(t)μ[ξn2i=1αiηia(ηis)qr1Γ(qr)x(s)dsn2i=1αiηia(ηis)q1Γ(q)ˆf(x(s))ds+ξba(sa(su)qr1Γ(qr)x(u)du)dA(s)ba(sa(su)q1Γ(q)ˆf(x(u))du)dA(s)], (3.3)

    where ϕi(t),i=1,2,3 are defined by (2.3) and ˆf(x(t))=f(t,x(t),cDpax(t),cDp+1ax(t)).

    From (3.3), we have

    (cDpaFx)(t)=ξμIqprax(t)+1μIqpaˆf(x(t))+ω1(t)μ[ξba(bs)qr1Γ(qr)x(s)dsba(bs)q1Γ(q)ˆf(x(s))ds]+ω2(t)μ[ξba(bs)qr2Γ(qr1)x(s)dsba(bs)q2Γ(q1)ˆf(x(s))ds]+ω3(t)μ[ξn2i=1αiηia(ηis)qr1Γ(qr)x(s)dsn2i=1αiηia(ηis)q1Γ(q)ˆf(x(s))ds+ξba(sa(su)qr1Γ(qr)x(u)du)dA(s)ba(sa(su)q1Γ(q)ˆf(x(u))du)dA(s)], (3.4)

    where

    ω1(t)=cDpaϕ1(t)=cDpa((ta)3σ1+(ta)2δ1+λ1)=6σ1(ta)3pΓ(4p)+2δ1(ta)2pΓ(3p),ω2(t)=cDpaϕ2(t)=cDpa((ta)3σ2+(ta)2δ2+λ2)=6σ2(ta)3pΓ(4p)+2δ2(ta)2pΓ(3p),ω3(t)=cDpaϕ3(t)=cDpa((ta)3σ3+(ta)2δ3+λ3)=6σ3(ta)3pΓ(4p)+2δ3(ta)2pΓ(3p), (3.5)

    and

    (cDp+1Fx)(t)=ξμIqpr1ax(t)+1μIqp1aˆf(x(t))+ν1(t)μ[ξba(bs)qr1Γ(qr)x(s)dsba(bs)q1Γ(q)ˆf(x(s))ds]+ν2(t)μ[ξba(bs)qr2Γ(qr1)x(s)dsba(bs)q2Γ(q1)ˆf(x(s))ds]+ν3(t)μ[ξn2i=1αiηia(ηis)qr1Γ(qr)x(s)dsn2i=1αiηia(ηis)q1Γ(q)ˆf(x(s))ds+ξba(sa(su)qr1Γ(qr)x(u)du)dA(s)ba(sa(su)q1Γ(q)ˆf(x(u))du)dA(s)], (3.6)

    where

    ν1(t)=cDp+1aϕ1(t)=cDp+1a((ta)3σ1+(ta)2δ1+λ1)=6σ1(ta)2pΓ(3p)+2δ1(ta)1pΓ(2p),ν2(t)=cDp+1aϕ2(t)=cDp+1a((ta)3σ2+(ta)2δ2+λ2)=6σ2(ta)2pΓ(3p)+2δ2(ta)1pΓ(2p),ν3(t)=cDp+1aϕ3(t)=cDp+1a((ta)3σ3+(ta)2δ3+λ3)=6σ3(ta)2pΓ(3p)+2δ3(ta)1pΓ(2p). (3.7)

    For the sake of computational convenience, we introduce

    Λ1=|ξ||μ|[(ba)qrΓ(qr+1)+ˉϕ1(ba)qrΓ(qr+1)+ˉϕ2(ba)qr1Γ(qr)+ˉϕ3(n2i=1|αi|(ηia)qrΓ(qr+1)+ba(sa)qrΓ(qr+1)dA(s))],ˉΛ1=1|μ|[(ba)qΓ(q+1)+ˉϕ1(ba)qΓ(q+1)+ˉϕ2(ba)q1Γ(q)+ˉϕ3(n2i=1|αi|(ηia)qΓ(q+1)+ba(sa)qΓ(q+1)dA(s))], (3.8)
    Λ2=|ξ||μ|[(ba)qprΓ(qpr+1)+ˉω1(ba)qrΓ(qr+1)+ˉω2(ba)qr1Γ(qr)+ˉω3(n2i=1|αi|(ηia)qrΓ(qr+1)+ba(sa)qrΓ(qr+1)dA(s))],ˉΛ2=1|μ|[(ba)qpΓ(qp+1)+ˉω1(ba)qΓ(q+1)+ˉω2(ba)q1Γ(q)+ˉω3(n2i=1|αi|(ηia)qΓ(q+1)+ba(sa)qΓ(q+1)dA(s))], (3.9)
    Λ3=|ξ||μ|[(ba)qpr1Γ(qpr)+ˉν1(ba)qrΓ(qr+1)+ˉν2(ba)qr1Γ(qr)+ˉν3(n2i=1|αi|(ηia)qrΓ(qr+1)+ba(sa)qrΓ(qr+1)dA(s))],ˉΛ3=1|μ|[(ba)qp1Γ(qp)+ˉν1(ba)qΓ(q+1)+ˉν2(ba)q1Γ(q)+ˉν3(n2i=1|αi|(ηia)qΓ(q+1)+ba(sa)qΓ(q+1)dA(s))], (3.10)

    where ˉϕi=supt[a,b]|ϕi(t)|,ˉωi=supt[a,b]|ωi(t)|,ˉνi=supt[a,b]|νi(t)|,i=1,2,3,

    Δ=max{Λ1,Λ2,Λ3}, (3.11)
    ˉΔ=max{ˉΛ1,ˉΛ2,ˉΛ3}. (3.12)

    In the following result, we prove the existence of solutions for the problem (1.6)-(1.7) by applying Lemma 2.4.

    Theorem 3.1. Let f:[a,b]×R3R be a continuous function. Assume that:

    (O1) there exists a function ρC([a,b],R+) such that

    |f(t,x1,x2,x3)|ρ(t),fort[a,b],andeachxiR,i=1,2,3;

    (O2) κ<1, where κ=3Δ and Δ is defined by (3.11).

    Then problem (1.6)-(1.7) has at least one solution on [a,b].

    Proof. Consider a closed bounded and convex ball Bτ={xA:xτ}A, where τ is a fixed constant. Let us define F1,F2:BτBτ by

    (F1x)(t)=ξμIqrax(t)+ξϕ1(t)μba(bs)qr1Γ(qr)x(s)ds+ξϕ2(t)μba(bs)qr2Γ(qr1)x(s)ds+ξϕ3(t)μ[n2i=1αiηia(ηis)qr1Γ(qr)x(s)ds+ba(sa(su)qr1Γ(qr)x(u)du)dA(s)],t[a,b](F2x)(t)=1μIqaˆf(x(t))ϕ1(t)μba(bs)q1Γ(q)ˆf(x(s))dsϕ2(t)μba(bs)q2Γ(q1)ˆf(x(s))dsϕ3(t)μ[n2i=1αiηia(ηis)q1Γ(q)ˆf(x(s))ds+ba(sa(su)q1Γ(q)ˆf(x(u))du)dA(s)],t[a,b].

    Observe that,

    (Fx)(t)=(F1x)(t)+(F2x)(t),t[a,b].

    Now we show that F1 and F2 satisfy all the conditions of Lemma 2.4. The proof will be given in several steps.

    Step 1. FBτBτ.

    Let us choose τ3ρˉΔ1κ, where κ is defined in (O2) and ˉΔ is given by (3.12). For xBτ, we have

    |Fx(t)|x|ξ||μ|[(ba)qrΓ(qr+1)+ˉϕ1(ba)qrΓ(qr+1)+ˉϕ2(ba)qr1Γ(qr)+ˉϕ3(n2i=1|αi|(ηia)qrΓ(qr+1)+ba(sa)qrΓ(qr+1)dA(s))]+ρ|μ|[(ba)qΓ(q+1)+ˉϕ1(ba)qΓ(q+1)+ˉϕ2(ba)q1Γ(q)+ˉϕ3(n2i=1|αi|(ηia)qΓ(q+1)+ba(sa)qΓ(q+1)dA(s))]τΛ1+ρˉΛ1τ(κ/3)+ρˉΔ,

    Similarly, it can be shown that

    |cDpaFx(t)|τΛ2+ρˉΛ2τ(κ/3)+ρˉΔ,|cDp+1aFx(t)|τΛ3+ρˉΛ3τ(κ/3)+ρˉΔ.

    Hence

    Fx||=supx[a,b]{|Fx(t)|+|cDpaFx(t)|+|cDp+1aFx(t)|}τκ+3ρˉΔ<τ.

    Thus we get FBτBτ.

    Step 2. F1 is a κ-contractive.

    For x,yBτ and using the condition O2, we have

    |(F1x)(t)(F1y)(t)||ξ||μ|Iqra|x(t)y(t)|+|ξ||ϕ1(t)||μ|Iqra|x(b)y(b)|+|ξ||ϕ2(t)||μ|Iqr1a|x(b)y(b)|+|ξ||ϕ3(t)||μ|(n2i=1|αi|Iqra|x(ηi)y(ηi)|+baIqra|x(s)y(s)|dA(s))|ξ||μ|[(ba)qrΓ(qr+1)+ˉϕ1(ba)qrΓ(qr+1)+ˉϕ2(ba)qr1Γ(qr)+ˉϕ3(n2i=1|αi|(ηia)qrΓ(qr+1)+ba(sa)qrΓ(qr+1)dA(s))]xy=Λ1xy(κ/3)xy.

    Similarly, we can obtain

    |cDpaF1x(t)cDpaF1y(t)|Λ2xy(κ/3)xy,
    |cDp+1aF1x(t)cDp+1aF1y(t)|Λ3xy(κ/3)xy.

    Hence

    F1xF1yκ||xy,

    which proves that F1 is κ-contractive.

    Step 3. F2 is compact.

    Continuity of f implies that the operator F2 is continuous. Also, F2 is uniformly bounded on Bτ as

    |F2x(t)|ρˉΛ1,|cDpaF2x(t)|ρˉΛ2, and|cDp+1aF2x(t)|ρˉΛ3,

    which imply that F2x3ρˉΔ.

    Let t1,t2[a,b] with t1<t2 and xBτ. We have

    |F2x(t2)F2x(t1)|1|μ|Γ(q)[t1a|(t2s)q1(t1s)q1||ρ(s)|ds+t2t1|(t2s)q1||ρ(s)|ds]+|ϕ1(t2)ϕ1(t1)||μ|ba(bs)q1Γ(q)|ρ(s)|ds+|ϕ2(t2)ϕ2(t1)||μ|ba(bs)q2Γ(q1)|ρ(s)|ds+|ϕ3(t2)ϕ3(t1)||μ|[n2i=1|αi|ηia(ηis)q1Γ(q)|ρ(s)|ds+ba(sa(su)q1Γ(q)|ρ(u)|du)dA(s)]ρ|μ|Γ(q+1)[|(t2a)q(t1a)q|+2(t2t1)q]+ρ(ba)q|ϕ1(t2)ϕ1(t1)||μ|Γ(q+1)+ρ(ba)q1|ϕ2(t2)ϕ2(t1)||μ|Γ(q)+ρ|ϕ3(t2)ϕ3(t1)||μ|Γ(q+1)[n2i=1|αi|(ηia)q+ba(sa)qdA(s)], (3.13)
    |cDpaF2x(t2)cDpaF2x(t1)|ρ|μ|Γ(qp+1)[|(t2a)qp(t1a)qp|+2(t2t1)qp]+ρ(ba)q|ω1(t2)ω1(t1)||μ|Γ(q+1)+ρ(ba)q1|ω2(t2)ω2(t1)||μ|Γ(q)+ρ|ω3(t2)ω3(t1)||μ|Γ(q+1)[n2i=1|αi|(ηia)q+ba(sa)qdA(s)], (3.14)

    and

    |cDp+1aF2x(t2)cDp+1aF2x(t1)|ρ|μ|Γ(qp)[|(t2a)qp1(t1a)qp1|+2(t2t1)qp1]+ρ(ba)q|ν1(t2)ν1(t1)||μ|Γ(q+1)+ρ(ba)q1|ν2(t2)ν2(t1)||μ|Γ(q)+ρ|ν3(t2)ν3(t1)||μ|Γ(q+1)[n2i=1|αi|(ηia)q+ba(sa)qdA(s)]. (3.15)

    The right hand sides of the inequalities (3.13)-(3.15) tend to zero as t2t10 independent of x. Thus, F2 is equicontinuous on Bτ. Therefore, by Arzelá-Ascoli theorem, F2 is a relatively compact on Bτ.

    Step 4. F is condensing. Since F1 is continuous, κ-contractive and F2 is compact, therefore, by Lemma 2.3, the operator F:BτBτ, with F=F1+F2 is a condensing map on Bτ.

    Hence, by Lemma 2.4, the operator F has a fixed point. Therefore, the problem (1.6)-(1.7) has at least one solution on [a,b].

    Example 3.1. Consider the fractional boundary value problem.

    {45cD359x(t)+9cD18x(t)=f(t,x(t),cD14x(t),cD54x(t)),t(0,1),x(0)=4i=1αix(ηi)+10x(s)dA(s),x(0)=0,x(1)=0,x(1)=0, (3.16)

    where q=359,r=18,p=14, a=0,b=1, μ=45, ξ=9,α1=1300, α2=122, α3=1240, α4=239, η1=117, η2=217, η3=317, η4=417, and

    f(t,x(t),cD14x(t),cD54x(t))=1e2t+80(|x(t)|1+|x(t)|+sin2(cD14x(t))+cos(cD54x(t))).

    Let us take A(s)=s22. Using the given data, we have that A10.493339, A20.252328, A30.200616, γ10.849088, γ20.372834, σ11.16204, σ20.878198, σ32.35546, δ11.74306, δ20.817295, δ33.53319, λ10.41898, λ20.060903, λ31.17773, ˉϕ11.00000, ˉϕ20.113338, ˉϕ31.17773, ˉω10.591136, ˉω20.175009, ˉω31.19823, ˉν10.541872, ˉν21.49758, ˉν31.09837, Λ10.031094, Λ20.034096, Λ30.134535, ˉΛ10.000700, ˉΛ20.002538, ˉΛ30.012289.

    Also, the conditions O1 and O2 are satisfied as we have,

    |f(t,x(t),cD14x(t),cD54x(t))|3e2t+80=ρ(t),

    and κ0.403605<1, where κ is defined in (O2). Hence, the conditions of Theorem (3.1) hold. Therefore, from conclusion of Theorem 3.1 the problem (3.16) has at least one solution on [0,1].

    Next, we prove the uniqueness of solutions for the problem (1.6)-(1.7) via Banach fixed point theorem.

    Theorem 4.1. Assume that f:[a,b]×R3R is a continuous function such that,

    |f(t,x1,x2,x3)f(t,y1,y2,y3)|L(|x1y1|+|x2y2|+|x3y3|),L>0,t[a,b],xi,yiR,i=1,2,3. (4.1)

    Then the problem (1.6)-(1.7) has a unique solution on [a,b] if

    κ+3LˉΔ<1, (4.2)

    where κ is defined in (O2) and ˉΔ is given by (3.12).

    Proof. Setting supt[a,b]|f(t,0,0,0)|=N<, and selecting

    r3NˉΔ1κ3LˉΔ,

    we define Br={xA:xr}, and show that FBrBr, where the operator F is defined by (3.3). For xBr, we use (4.1) to find that

    |f(t,x(t),cDpax(t),cDp+1ax(t))|=|f(t,x(t),cDpax(t),cDp+1ax(t))f(t,0,0,0)+f(t,0,0,0)||f(t,x(t),cDpax(t),cDp+1ax(t))f(t,0,0,0)|+|f(t,0,0,0)|L(|x(t)|+|cDpax(t)|+|cDp+1ax(t)|)+NLx+NLr+N,

    where we used the norm given by (3.1).

    Then, we have

    |Fx(t)|r|ξ||μ|[(ba)qrΓ(qr+1)+ˉϕ1(ba)qrΓ(qr+1)+ˉϕ2(ba)qr1Γ(qr)+ˉϕ3(n2i=1|αi|(ηia)qrΓ(qr+1)+ba(sa)qrΓ(qr+1)dA(s))]+(Lr+N)|μ|[(ba)qΓ(q+1)+ˉϕ1(ba)qΓ(q+1)+ˉϕ2(ba)q1Γ(q)+ˉϕ3(n2i=1|αi|(ηia)qΓ(q+1)+ba(sa)qΓ(q+1)dA(s))]rΛ1+(Lr+N)ˉΛ1(κ/3)r+(Lr+N)ˉΔ.

    Similarly, we have

    |cDpaFx(t)|rΛ2+(Lr+N)ˉΛ2(κ/3)r+(Lr+N)ˉΔ.|cDp+1aFx(t)|rΛ3+(Lr+N)ˉΛ3(κ/3)r+(Lr+N)ˉΔ.

    Hence we have

    Fxκr+3(Lr+N)ˉΔ<r.

    Thus, FxBr for any xBr. Therefore, FBrBr. Now, we show that F is a contraction. For x,yA and t[a,b], we obtain

    |(Fx)(t)(Fy)(t)||ξ||μ|Iqra|x(t)y(t)|+1|μ|Iqa|ˆf(x(t))ˆf(y(t))|+1|μ|[|ϕ1(t)|(|ξ|ba(bs)qr1Γ(qr)|x(s)y(s)|ds+ba(bs)q1Γ(q)|ˆf(x(s))ˆf(y(s))|ds)+|ϕ2(t)|(|ξ|ba(bs)qr2Γ(qr1)|x(s)y(s)|ds+ba(bs)q2Γ(q1)|ˆf(x(s))ˆf(y(s))|ds)+|ϕ3(t)|(|ξ|n2i=1|αi|ηia(ηis)qr1Γ(qr)|x(s)y(s)|ds+n2i=1|αi|ηia(ηis)q1Γ(q)|ˆf(x(s))ˆf(y(s))|ds+|ξ|ba(sa(su)qr1Γ(qr)|x(u)y(u)|du)dA(s)+ba(sa(su)q1Γ(q)|ˆf(x(u))ˆf(y(u))|du)dA(s)))|ξ||μ|[(ba)qrΓ(qr+1)+ˉϕ1(ba)qrΓ(qr+1)+ˉϕ2(ba)qr1Γ(qr)+ˉϕ3(n2i=1|αi|(ηia)qrΓ(qr+1)+ba(sa)qrΓ(qr+1)dA(s))]xy+1|μ|[(ba)qΓ(q+1)+ˉϕ1(ba)qΓ(q+1)+ˉϕ2(ba)q1Γ(q)+ˉϕ3(n2i=1|αi|(ηia)qΓ(q+1)+ba(sa)qΓ(q+1)dA(s))]Lxy=(Λ1+LˉΛ1)xy(κ/3+LˉΔ)xy,

    In a similar mannar, we have

    |cDpaFx(t)cDpaFy(t)|(Λ2+LˉΛ2)xy(κ/3+LˉΔ)xy,|cDp+1aFx(t)cDp+1aFy(t)|(Λ3+LˉΛ3)xy(κ/3+LˉΔ)xy.

    Consequently, we obtain (Fx)(Fy)(κ+3LˉΔ)xy, which in view of (4.2) implies that the operator F is a contraction. Therefore, F has a unique fixed point, which corresponds to a unique solution of the problem (1.6)-(1.7) on [a,b]. This completes the proof.

    Example 4.1. Consider the following fractional differential equation

    45cD359x(t)+9cD18x(t)=16(t2+2)(tan1x(t)+cos(cD14x(t))+|cD54x(t)|1+|cD54x(t)|), (4.3)

    t[0,1], supplemented with the boundary conditions of Example (3.1).

    Obviously

    f(t,x(t),cD14x(t),cD54x(t))=16(t2+2)(tan1x(t)+cos(cD14x(t))+|cD54x(t)|1+|cD54x(t)|).

    Using the given data, we find that Δ0.134535 and ˉΔ0.012289, where Δ and ˉΔ are respectively given by (3.11) and (3.12). By the following inequality

    |f(t,x(t),cD14x(t),cD54x(t))f(t,y(t),cD14y(t),cD54y(t))|112(|xy|+|cD14xcD14y|+|cD54xcD54y|)112xy,

    we have L=112. Clearly (κ+3LˉΔ)0.406677<1. Therefore, the hypothesis of Theorem (4.1) is satisfied and consequently the problem (4.3) has a unique solution on [0,1].

    Remark 4.1. Letting ξ=0 and μ=1 in the results of this paper, we obtain the ones for the fractional differential equation of the form:

    cDqx(t)=f(t,x(t),cDpx(t),cDp+1x(t)),3<q4,0<p1,t[a,b],

    supplemented with Riemann-Stieltjes integro-multipoint boundary conditions (1.7). In this case fixed point operator takes the form:

    (Fx)(t)=Iqˆf(x(t))ϕ1(t)ba(bs)q1Γ(q)ˆf(x(s))dsϕ2(t)ba(bs)q2Γ(q1)ˆf(x(s))dsϕ3(t)[n2i=1αiηia(ηis)q1Γ(q)ˆf(x(s))ds+ba(sa(su)q1Γ(q)ˆf(x(u))du)dA(s)].

    We have proved the existence and uniqueness results for a multi-term Caputo fractional differential equation with nonlinearity depending upon the known function x together with its lower-order derivatives cDpax, cDp+1ax,0<p<1, complemented with Riemann-Stieltjes integro multipoint boundary conditions.

    In Theorem 3.1, the existence of solutions for the given problem is established by means of Sadovskii fixed point theorem. The proof of this result is based on the idea of splitting the operator F into the sum of two operators F1 and F2 such that F1 is κ-contractive and F2 is compact. One can notice that the entire operator F is not required to be contractive. On the other hand, Theorem 4.1 deals with the existence of a unique solution of the given problem via Banach contraction mapping principle, in which the entire operator F is shown to be contractive. Thus, the linkage between contractive conditions imposed in Theorems 3.1 and 4.1 provides a precise estimate to pass onto a unique solution from the existence of a solution for the problem at hand.

    As a special case, by letting ξ=0 and μ=1 in the results of this paper, we obtain the ones for the fractional differential equation of the form:

    cDqax(t)=f(t,x(t),cDpax(t),cDp+1ax(t)),3<q4,0<p1,t(a,b),

    supplemented with Riemann-Stieltjes integro-multipoint boundary conditions (1.7). In this case, the fixed point operator (3.3) takes the following form:

    (Fx)(t)=Iqaˆf(x(t))ϕ1(t)ba(bs)q1Γ(q)ˆf(x(s))dsϕ2(t)ba(bs)q2Γ(q1)ˆf(x(s))dsϕ3(t)[n2i=1αiηia(ηis)q1Γ(q)ˆf(x(s))ds+ba(sa(su)q1Γ(q)ˆf(x(u))du)dA(s)].

    In case we take αi=0 for all i=1,,n2, then our results correspond to the integral boundary conditions:

    x(a)=bax(s)dA(s), x(a)=0, x(b)=0, x(b)=0.

    We thank the reviewers for their constructive remarks on our work.

    All authors declare no conflicts of interest in this paper.


    Acknowledgments



    This project has received funding from the Ministry of Economic Affairs under PPP-Allowance under the TKI-Programme Life Sciences and Health.

    Conflict of interest



    The authors declare no conflict of interest.

    Author contributions



    DBO and CHE had the idea for the improved QbD approach. DBO wrote the manuscript and did the case study. DSU and YTH assisted in writing a reviewed the manuscript. CHE assisted in writing the manuscript.

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