Loading [MathJax]/jax/output/SVG/jax.js
Review Special Issues

An overview of three biocatalysts of pharmaceutical importance synthesized by microbial cultures

  • This article includes a general overview of the published research on a topic relevant to biomedical sciences research, pharma-industries and healthcare sector. We have presented a concise information on three enzymes. These biomolecules have been investigated for their biocatalytic activities beneficial in the detection of drugs and their metabolites present in micro-quantities in samples of blood, urine, and other body fluids, such as salicylate hydroxylase, and dihydrofolate reductase. Some enzymes are useful in biotransformation of compounds to convert them in an optically active form, such as lipase. The information presented in this article has been collected from the published studies on their catalytic function, and biosynthesis using selected microorganisms. Several diagnostic assays are currently using enzymes as effective biocatalysts to perform the detection-test. For the marketing and consumer's convenience, pharmaceutical companies have designed biosensors and diagnostic kits by incorporating specific enzymes for rapid tests required in pathology, as well as for the quantification of certain metabolites and chemicals in pathology samples in a shorter time. For such purpose use of enzymes synthesized by selected specific microorganisms is economical.

    Citation: Divakar Dahiya, Poonam Singh Nigam. An overview of three biocatalysts of pharmaceutical importance synthesized by microbial cultures[J]. AIMS Microbiology, 2021, 7(2): 124-137. doi: 10.3934/microbiol.2021009

    Related Papers:

    [1] Yuhua Zhu . A local sensitivity and regularity analysis for the Vlasov-Poisson-Fokker-Planck system with multi-dimensional uncertainty and the spectral convergence of the stochastic Galerkin method. Networks and Heterogeneous Media, 2019, 14(4): 677-707. doi: 10.3934/nhm.2019027
    [2] Diandian Huang, Xin Huang, Tingting Qin, Yongtao Zhou . A transformed $ L1 $ Legendre-Galerkin spectral method for time fractional Fokker-Planck equations. Networks and Heterogeneous Media, 2023, 18(2): 799-812. doi: 10.3934/nhm.2023034
    [3] L.L. Sun, M.L. Chang . Galerkin spectral method for a multi-term time-fractional diffusion equation and an application to inverse source problem. Networks and Heterogeneous Media, 2023, 18(1): 212-243. doi: 10.3934/nhm.2023008
    [4] Karoline Disser, Matthias Liero . On gradient structures for Markov chains and the passage to Wasserstein gradient flows. Networks and Heterogeneous Media, 2015, 10(2): 233-253. doi: 10.3934/nhm.2015.10.233
    [5] Ioannis Markou . Hydrodynamic limit for a Fokker-Planck equation with coefficients in Sobolev spaces. Networks and Heterogeneous Media, 2017, 12(4): 683-705. doi: 10.3934/nhm.2017028
    [6] Yves Achdou, Victor Perez . Iterative strategies for solving linearized discrete mean field games systems. Networks and Heterogeneous Media, 2012, 7(2): 197-217. doi: 10.3934/nhm.2012.7.197
    [7] Michael Herty, Lorenzo Pareschi, Sonja Steffensen . Mean--field control and Riccati equations. Networks and Heterogeneous Media, 2015, 10(3): 699-715. doi: 10.3934/nhm.2015.10.699
    [8] Martin Heida, Benedikt Jahnel, Anh Duc Vu . Regularized homogenization on irregularly perforated domains. Networks and Heterogeneous Media, 2025, 20(1): 165-212. doi: 10.3934/nhm.2025010
    [9] Fei Cao, Nicholas F. Marshall . From the binomial reshuffling model to Poisson distribution of money. Networks and Heterogeneous Media, 2024, 19(1): 24-43. doi: 10.3934/nhm.2024002
    [10] Hirotada Honda . On Kuramoto-Sakaguchi-type Fokker-Planck equation with delay. Networks and Heterogeneous Media, 2024, 19(1): 1-23. doi: 10.3934/nhm.2024001
  • This article includes a general overview of the published research on a topic relevant to biomedical sciences research, pharma-industries and healthcare sector. We have presented a concise information on three enzymes. These biomolecules have been investigated for their biocatalytic activities beneficial in the detection of drugs and their metabolites present in micro-quantities in samples of blood, urine, and other body fluids, such as salicylate hydroxylase, and dihydrofolate reductase. Some enzymes are useful in biotransformation of compounds to convert them in an optically active form, such as lipase. The information presented in this article has been collected from the published studies on their catalytic function, and biosynthesis using selected microorganisms. Several diagnostic assays are currently using enzymes as effective biocatalysts to perform the detection-test. For the marketing and consumer's convenience, pharmaceutical companies have designed biosensors and diagnostic kits by incorporating specific enzymes for rapid tests required in pathology, as well as for the quantification of certain metabolites and chemicals in pathology samples in a shorter time. For such purpose use of enzymes synthesized by selected specific microorganisms is economical.



    In this article, we study the oscillatory behavior of the fourth-order neutral nonlinear differential equation of the form

    {(r(t)Φp1[w(t)])+q(t)Φp2(u(ϑ(t)))=0,r(t)>0, r(t)0, tt0>0, (1.1)

    where w(t):=u(t)+a(t)u(τ(t)) and the first term means the p-Laplace type operator (1<p<). The main results are obtained under the following conditions:

    L1: Φpi[s]=|s|pi2s, i=1,2,

    L2: rC[t0,) and under the condition

    t01r1/(p11)(s)ds=. (1.2)

    L3: a,qC[t0,), q(t)>0, 0a(t)<a0<, τ,ϑC[t0,), τ(t)t, limtτ(t)=limtϑ(t)=

    By a solution of (1.1) we mean a function u C3[tu,), tut0, which has the property r(t)(w(t))p11C1[tu,), and satisfies (1.1) on [tu,). We assume that (1.1) possesses such a solution. A solution of (1.1) is called oscillatory if it has arbitrarily large zeros on [tu,), and otherwise it is called to be nonoscillatory. (1.1) is said to be oscillatory if all its solutions are oscillatory.

    We point out that delay differential equations have applications in dynamical systems, optimization, and in the mathematical modeling of engineering problems, such as electrical power systems, control systems, networks, materials, see [1]. The p-Laplace equations have some significant applications in elasticity theory and continuum mechanics.

    During the past few years, there has been constant interest to study the asymptotic properties for oscillation of differential equations with p-Laplacian like operator in the canonical case and the noncanonical case, see [2,3,4,11] and the numerical solution of the neutral delay differential equations, see [5,6,7]. The oscillatory properties of differential equations are fairly well studied by authors in [16,17,18,19,20,21,22,23,24,25,26,27]. We collect some relevant facts and auxiliary results from the existing literature.

    Liu et al. [4] studied the oscillation of even-order half-linear functional differential equations with damping of the form

    {(r(t)Φ(y(n1)(t)))+a(t)Φ(y(n1)(t))+q(t)Φ(y(g(t)))=0,Φ=|s|p2s, tt0>0,

    where n is even. This time, the authors used comparison method with second order equations.

    The authors in [9,10] have established sufficient conditions for the oscillation of the solutions of

    {(r(t)|y(n1)(t)|p2y(n1)(t))+ji=1qi(t)g(y(ϑi(t)))=0,j1, tt0>0,

    where n is even and p>1 is a real number, in the case where ϑi(t)υ (with rC1((0,),R), qiC([0,),R), i=1,2,..,j).

    We point out that Li et al. [3] using the Riccati transformation together with integral averaging technique, focuses on the oscillation of equation

    {(r(t)|w(t)|p2w(t))+ji=1qi(t)|y(δi(t))|p2y(δi(t))=0,1<p<, , tt0>0.

    Park et al. [8] have obtained sufficient conditions for oscillation of solutions of

    {(r(t)|y(n1)(t)|p2y(n1)(t))+q(t)g(y(δ(t)))=0,1<p<, , tt0>0.

    As we already mentioned in the Introduction, our aim here is complement results in [8,9,10]. For this purpose we discussed briefly these results.

    In this paper, we obtain some new oscillation criteria for (1.1). The paper is organized as follows. In the next sections, we will mention some auxiliary lemmas, also, we will use the generalized Riccati transformation technique to give some sufficient conditions for the oscillation of (1.1), and we will give some examples to illustrate the main results.

    For convenience, we denote

    A(t)=q(t)(1a0)p21Mp1p2(ϑ(t)), B(t)=(p11)εϑ2(t)ζϑ(t)r1/(p11)(t), ϕ1(t)=tA(s)ds,R1(t):=(p11)μt22r1/(p11)(t),ξ(t):=q(t)(1a0)p21Mp2p11ε1(ϑ(t)t)3(p21),η(t):=(1a0)p2/p1Mp2/(p12)2t(1r(δ)δq(s)ϑp21(s)sp21ds)1/(p11)dδ,ξ(t)=tξ(s)ds, η(t)=tη(s)ds,

    for some μ(0,1) and every M1,M2 are positive constants.

    Definition 1. A sequence of functions {δn(t)}n=0 and {σn(t)}n=0 as

    δ0(t)=ξ(t), and σ0(t)=η(t),δn(t)=δ0(t)+tR1(t)δp1/(p11)n1(s)ds, n>1σn(t)=σ0(t)+tσp1/(p11)n1(s)ds, n>1. (2.1)

    We see by induction that δn(t)δn+1(t) and σn(t)σn+1(t) for tt0, n>1.

    In order to discuss our main results, we need the following lemmas:

    Lemma 2.1. [12] If the function w satisfies w(i)(ν)>0, i=0,1,...,n, and w(n+1)(ν)<0  eventually. Then, for every ε1(0,1), w(ν)/w(ν)ε1ν/n eventually.

    Lemma 2.2. [13] Let u(t) be a positive and n-times differentiable function on an interval [T,) with its nth derivative u(n)(t) non-positive on [T,) and not identically zero on any interval of the form [T,), TT and u(n1)(t)u(n)(t)0, ttu then there exist constants θ, 0<θ<1  and ε>0 such that

    u(θt)εtn2u(n1)(t),

    for all sufficient large t.

    Lemma 2.3 [14] Let uCn([t0,),(0,)). Assume that u(n)(t) is of fixed sign and not identically zero on [t0,) and that there exists a t1t0 such that u(n1)(t)u(n)(t)0 for all tt1. If limtu(t)0, then for every μ(0,1) there exists tμt1 such that

    u(t)μ(n1)!tn1|u(n1)(t)| for ttμ.

    Lemma 2.4. [15] Assume that (1.2) holds and u is an eventually positive solution of (1.1). Then, (r(t)(w(t))p11)<0 and there are the following two possible cases eventually:

    (G1) w(k)(t)>0, k=1,2,3,(G2) w(k)(t)>0, k=1,3, and w(t)<0.

    Theorem 2.1. Assume that

    liminft1ϕ1(t)tB(s)ϕp1(p11)1(s)ds>p11pp1(p11)1. (2.2)

    Then (1.1) is oscillatory.

    proof. Assume that u be an eventually positive solution of (1.1). Then, there exists a t1t0 such that u(t)>0, u(τ(t))>0 and u(ϑ(t))>0 for tt1. Since r(t)>0, we have

    w(t)>0, w(t)>0, w(t)>0, w(4)(t)<0 and (r(t)(w(t))p11)0, (2.3)

    for tt1. From definition of w, we get

    u(t)w(t)a0u(τ(t))w(t)a0w(τ(t))(1a0)w(t),

    which with (1.1) gives

    (r(t)(w(t))p11)q(t)(1a0)p21wp21(ϑ(t)). (2.4)

    Define

    ϖ(t):=r(t)(w(t))p11wp11(ζϑ(t)). (2.5)

    for some a constant ζ(0,1). By differentiating and using (2.4), we obtain

    ϖ(t)q(t)(1a0)p21wp21(ϑ(t)).wp11(ζϑ(t))(p11)r(t)(w(t))p11w(ζϑ(t))ζϑ(t)wp1(ζϑ(t)).

    From Lemma 2.2, there exist constant ε>0, we have

    ϖ(t)q(t)(1a0)p21wp2p1(ϑ(t))(p11)r(t)(w(t))p11εϑ2(t)w(ϑ(t))ζϑ(t)wp1(ζϑ(t)).

    Which is

    ϖ(t)q(t)(1a0)p21wp2p1(ϑ(t))(p11)εr(t)ϑ2(t)ζϑ(t)(w(t))p1wp1(ζϑ(t)),

    by using (2.5) we have

    ϖ(t)q(t)(1a0)p21wp2p1(ϑ(t))(p11)εϑ2(t)ζϑ(t)r1/(p11)(t)ϖp1/(p11)(t). (2.6)

    Since w(t)>0, there exist a t2t1 and a constant M>0 such that

    w(t)>M.

    Then, (2.6), turns to

    ϖ(t)q(t)(1a0)p21Mp2p1(ϑ(t))(p11)εϑ2(t)ζϑ(t)r1/(p11)(t)ϖp1/(p11)(t),

    that is

    ϖ(t)+A(t)+B(t)ϖp1/(p11)(t)0.

    Integrating the above inequality from t to l, we get

    ϖ(l)ϖ(t)+ltA(s)ds+ltB(s)ϖp1/(p11)(s)ds0.

    Letting l and using ϖ>0 and ϖ<0, we have

    ϖ(t)ϕ1(t)+tB(s)ϖp1/(p11)(s)ds.

    This implies

    ϖ(t)ϕ1(t)1+1ϕ1(t)tB(s)ϕp1/(p11)1(s)(ϖ(s)ϕ1(s))p1/(p11)ds. (2.7)

    Let λ=inftTϖ(t)/ϕ1(t) then obviously λ1. Thus, from (2.2) and (2.7) we see that

    λ1+(p11)(λp1)p1/(p11)

    or

    λp11p1+(p11)p1(λp1)p1/(p11),

    which contradicts the admissible value of λ1 and (p11)>0.

    Therefore, the proof is complete.

    Theorem 2.2. Assume that

    liminft1ξ(t)tR1(s)ξp1/(p11)(s)ds>(p11)pp1/(p11)1 (2.8)

    and

    liminft1η(t)t0η2(s)ds>14. (2.9)

    Then (1.1) is oscillatory.

    proof. Assume to the contrary that (1.1) has a nonoscillatory solution in [t0,). Without loss of generality, we let u be an eventually positive solution of (1.1). Then, there exists a t1t0 such that u(t)>0, u(τ(t))>0 and u(ϑ(t))>0 for tt1. From Lemma 2.4 there is two cases (G1) and (G2).

    For case (G1). Define

    ω(t):=r(t)(w(t))p11wp11(t).

    By differentiating ω and using (2.4), we obtain

    ω(t)q(t)(1a0)p21wp21(ϑ(t))wp11(t)(p11)r(t)(w(t))p11wp1(t)w(t). (2.10)

    From Lemma 2.1, we get

    w(t)w(t)3ε1t.

    Integrating again from t to ϑ(t), we find

    w(ϑ(t))w(t)ε1ϑ3(t)t3. (2.11)

    It follows from Lemma 2.3 that

    w(t)μ12t2w(t), (2.12)

    for all μ1(0,1) and every sufficiently large t. Since w(t)>0, there exist a t2t1 and a constant M>0 such that

    w(t)>M, (2.13)

    for tt2. Thus, by (2.10), (2.11), (2.12) and (2.13), we get

    ω(t)+q(t)(1a0)p21Mp2p11ε1(ϑ(t)t)3(p21)+(p11)μt22r1/(p11)(t)ωp1/(p11)(t)0,

    that is

    ω(t)+ξ(t)+R1(t)ωp1/(p11)(t)0. (2.14)

    Integrating (2.14) from t to l, we get

    ω(l)ω(t)+ltξ(s)ds+ltR1(s)ωp1/(p11)(s)ds0.

    Letting l and using ω>0 and ω<0, we have

    ω(t)ξ(t)+tR1(s)ωp1/(p11)(s)ds. (2.15)

    This implies

    ω(t)ξ(t)1+1ξ(t)tR1(s)ξp1/(p11)(s)(ω(s)ξ(s))p1/(p11)ds. (2.16)

    Let λ=inftTω(t)/ξ(t) then obviously λ1. Thus, from (2.8) and (2.16) we see that

    λ1+(p11)(λp1)p1/(p11)

    or

    λp11p1+(p11)p1(λp1)p1/(p11),

    which contradicts the admissible value of λ1 and (p11)>0.

    For case (G2). Integrating (2.4) from t to m, we obtain

    r(m)(w(m))p11r(t)(w(t))p11mtq(s)(1a0)p21wp21(ϑ(s))ds. (2.17)

    From Lemma 2.1, we get that

    w(t)ε1tw(t) and hence w(ϑ(t))ε1ϑ(t)tw(t). (2.18)

    For (2.17), letting mand using (2.18), we see that

    r(t)(w(t))p11ε1(1a0)p21wp21(t)tq(s)ϑp21(s)sp21ds.

    Integrating this inequality again from t to , we get

    w(t)ε1(1a0)p2/p1wp2/p1(t)t(1r(δ)δq(s)ϑp21(s)sp21ds)1/(p11)dδ, (2.19)

    for all ε1(0,1). Define

    y(t)=w(t)w(t).

    By differentiating y and using (2.13) and (2.19), we find

    y(t)=w(t)w(t)(w(t)w(t))2y2(t)(1a0)p2/p1M(p2/p1)1t(1r(δ)δq(s)ϑp21(s)sp21ds)1/(p11)dδ, (2.20)

    hence

    y(t)+η(t)+y2(t)0. (2.21)

    The proof of the case where (G2) holds is the same as that of case (G1). Therefore, the proof is complete.

    Theorem 2.3. Let δn(t) and σn(t) be defined as in (2.1). If

    limsupt(μ1t36r1/(p11)(t))p11δn(t)>1 (2.22)

    and

    limsuptλtσn(t)>1, (2.23)

    for some n, then (1.1)is oscillatory.

    proof. Assume to the contrary that (1.1) has a nonoscillatory solution in [t0,). Without loss of generality, we let u be an eventually positive solution of (1.1). Then, there exists a t1t0 such that u(t)>0, u(τ(t))>0 and u(ϑ(t))>0 for tt1. From Lemma 2.4 there is two cases.

    In the case (G1), proceeding as in the proof of Theorem 2.2, we get that (2.12) holds. It follows from Lemma 2.3 that

    w(t)μ16t3w(t). (2.24)

    From definition of ω(t) and (2.24), we have

    1ω(t)=1r(t)(w(t)w(t))p111r(t)(μ16t3)p11.

    Thus,

    ω(t)(μ1t36r1/(p11)(t))p111.

    Therefore,

    limsuptω(t)(μ1t36r1/(p11)(t))p111,

    which contradicts (2.22).

    The proof of the case where (G2) holds is the same as that of case (G1). Therefore, the proof is complete.

    Corollary 2.1. Let δn(t) and σn(t) be defined as in (2.1). If

    t0ξ(t)exp(tt0R1(s)δ1/(p11)n(s)ds)dt= (2.25)

    and

    t0η(t)exp(tt0σ1/(p11)n(s)ds)dt=, (2.26)

    for some n, then (1.1) is oscillatory.

    proof. Assume to the contrary that (1.1) has a nonoscillatory solution in [t0,). Without loss of generality, we let u be an eventually positive solution of (1.1). Then, there exists a t1t0 such that u(t)>0, u(τ(t))>0 and u(ϑ(t))>0 for tt1. From Lemma 2.4 there is two cases (G1) and (G2).

    In the case (G1), proceeding as in the proof of Theorem 2, we get that (2.15) holds. It follows from (2.15) that ω(t)δ0(t).  Moreover, by induction we can also see that ω(t)δn(t) for tt0, n>1. Since the sequence {δn(t)}n=0 monotone increasing and bounded above, it converges to δ(t). Thus, by using Lebesgue's monotone convergence theorem, we see that

    δ(t)=limnδn(t)=tR1(t)δp1/(p11)(s)ds+δ0(t)

    and

    δ(t)=R1(t)δp1/(p11)(t)ξ(t). (2.27)

    Since δn(t)δ(t), it follows from (2.27) that

    δ(t)R1(t)δ1/(p11)n(t)δ(t)ξ(t).

    Hence, we get

    δ(t)exp(tTR1(s)δ1/(p11)n(s)ds)(δ(T)tTξ(s)exp(sTR1(δ)δ1/(p11)n(δ)dδ)ds).

    This implies

    tTξ(s)exp(sTR1(δ)δ1/(p11)n(δ)dδ)dsδ(T)<,

    which contradicts (2.25). The proof of the case where (G2) holds is the same as that of case (G1). Therefore, the proof is complete.

    Example 2.1. Consider the differential equation

    (u(t)+12u(t2))(4)+q0t4u(t3)=0,  (2.28)

    where q0>0 is a constant. Let p1=p2=2, r(t)=1, a(t)=1/2, τ(t)=t/2, ϑ(t)=t/3 and q(t)=q0/t4. Hence, it is easy to see that

    A(t)=q(t)(1a0)(p21)Mp2p1(ϑ(t))=q02t4, B(t)=(p11)εϑ2(t)ζϑ(t)r1/(p11)(t)=εt227

    and

    ϕ1(t)=q06t3,

    also, for some ε>0, we find

    liminft1ϕ1(t)tB(s)ϕp1/(p11)1(s)ds>(p11)pp1/(p11)1.liminft6εq0t3972tdss4>14q0>121.5ε.

    Hence, by Theorem 2.1, every solution of Eq (2.28) is oscillatory if q0>121.5ε.

    Example 2.2. Consider a differential equation

    (u(t)+a0u(τ0t))(n)+q0tnu(ϑ0t)=0, (2.29)

    where q0>0 is a constant. Note that p=2, t0=1, r(t)=1, a(t)=a0, τ(t)=τ0t, ϑ(t)=ϑ0t  and q(t)=q0/tn.

    Easily, we see that condition (2.8) holds and condition (2.9) satisfied.

    Hence, by Theorem 2.2, every solution of Eq (2.29) is oscillatory.

    Remark 2.1. Finally, we point out that continuing this line of work, we can have oscillatory results for a fourth order equation of the type:

    {(r(t)|y(t)|p12y(t))+a(t)f(y(t))+ji=1qi(t)|y(σi(t))|p22y(σi(t))=0,tt0, σi(t)t, j1,, 1<p2p1<.

    The paper is devoted to the study of oscillation of fourth-order differential equations with p-Laplacian like operators. New oscillation criteria are established by using a Riccati transformations, and they essentially improves the related contributions to the subject.

    Further, in the future work we get some Hille and Nehari type and Philos type oscillation criteria of (1.1) under the condition υ01r1/(p11)(s)ds<.

    The authors express their debt of gratitude to the editors and the anonymous referee for accurate reading of the manuscript and beneficial comments.

    The author declares that there is no competing interest.


    Acknowledgments



    There was no funding used in writing this review.

    Conflict of interest



    The authors declare there are no conflicts of interest in this review article.

    [1] Nigam P (2016) Microbial Enzymes with Special Characteristics for Biotechnological Applications. “Enzymes and Their Biotechnological Applications” - Special Issue of Journal Biomolecules Basel, Switzerland: CC-MDPI AG, 597-611.
    [2] Thomas S, Patil AB, Salgaonkar PN, et al. (2020) Screening of Bacterial Isolates from Seafood-Wastes for Chitin Degrading Enzyme Activity. Chem Eng Proc Techniques 5: 1-8.
    [3] Nigam P (2013) Microbial Enzymes with Special Characteristics for Biotechnological Applications. Biomolecules 3: 597-611.
    [4] Kohli U, Nigam P, Singh D, et al. (2001) Thermostable, alkalophilic and cellulase free xylanase production by Thermoactinomyces thalophilus subgroup C. Enz Microb Technol 28: 606-610.
    [5] Pandey A, Nigam P, Soccol CR, et al. (2000) Advances in microbial amylases. Applied Biochem 31: 135-152.
    [6] Kozitsina AN, Svalova TS, Malysheva NN, et al. (2018) Sensors based on bio and biomimetic receptors in medical diagnostic, environment, and food analysis. Biosensors 8: 1-34.
    [7] Chirumamilla RR, Muralidhar R, Marchant R, et al. (2001) Improving the quality of industrially important enzymes by directed evolution. Mol Cell Biochem 224: 159-168.
    [8] Bhalla N, Jolly P, Formisano N, et al. (2016) Introduction to biosensors. Essays Biochem 60: 1-8.
    [9] Nguyen HH, Lee SH, Lee UJ, et al. (2019) Immobilized enzymes in biosensor applications. Materials 12: 1-34.
    [10] Rocchitta G, Spanu A, Babudieri S, et al. (2016) Enzyme biosensors for biomedical applications: strategies for safeguarding analytical performances in biological fluids. Sensors 16.
    [11] Lei Y, Chen W, Mulchandani A (2006) Microbial biosensors. Anal Chim Acta 568: 200-210.
    [12] Abbasian F, Ghafar-Zadeh E, Magierowski S (2018) Microbiological sensing technologies: a review. Bioengineering 5: 1-33.
    [13] Zhou DM, Nigam P, Jones J, et al. (1995) Production of salicylate hydroxylase from Pseudomonas putida UUC-1 and its application in the construction of a biosensor. J Chem Technol Biotechnol 64: 331-338.
    [14] Malhotra S, Verma A, Tyagi N, et al. (2017) Biosensors: principle, types and applications. Int J Adv Res Innov Ideas Edu 3: 3639-3644.
    [15] Mehrotra P (2016) Biosensors and their applications-a review. J Oral Biol Craniofac Res 6: 153-159.
    [16] Banat I, Marchant A, Nigam P, et al. (1994) Production, partial characterization, and potential diagnostic use of salicylate hydroxylase from Pseudomonas putida UUC-1. Enz Microbial Technol 16: 665-670.
    [17] Nigam P, Marchant R (1993) Production of the enzyme dihydrofolate reductase by methotrexate-resistant bacteria isolated from soil. J Chem Technol Biotechnol 56: 35-40.
    [18] Bellis M The History of Aspirin (2020) .Available from: http://www.thoughtco.com/history-of-aspirin-4072562.
    [19] Trinder P (1954) Rapid determination of salicylate in biological fluids. Biochem J 57: 301-303.
    [20] Kang ES, Todd TA, Capaci MT (1983) Measurement of true salicylate concentration in serum from patients with Reye's syndrome. Clin Chem 29: 1012-1014.
    [21] Polagani SR, Pilli NR, Gandu V (2012) High performance liquid chromatography mass spectrometric method for the simultaneous quantification of pravastatin and Aspirin in human plasma: Pharmacokinetic application. J Pharm Anal 2: 206-213.
    [22] Wabaidur SM, Alothman ZA, Khan MR (2013) Rapid method for the simultaneous determination of 1-ascorbic acid and acetylsalicylic acid in Aspirin C effervescent tablet by ultra-performance liquid chromatography-tandem mass spectrometry. Spectrochim Acta Ser A 108: 20-25.
    [23] Elmasry MS, Blagbrough IS, Rowan MG, et al. (2011) Quantitative HPLC analysis of mebeverine, mesalazine, sulphasalazine and dispersible aspirin stored in a venalink monitored dosage system with co-prescribed medicines. J Pharmaceut Biomed 54: 646-652.
    [24] You K, Bittikofer JA (1984) Quantification of salicylate in serum by use of salicylate hydroxylase. Clin Chem 30: 1549-1551.
    [25] Sze I, Dagley S (1984) Properties of salicylate hydroxylase and hydroxyquinol 1,2-dioxygenase purified from Trichosporon cutaneumJ Bacteriol 159: 353-359.
    [26] Einarsdottir GH, Stankovich MT, Tu SC (1988) Studies on electron-transfer properties of salicylate hydroxylase from Pseudomonas putida ATCC 29351 for production of salicylate hydroxylase. Appl Microbiol Biotechnol 30: 1-4.
    [27] Banat IM, Nigam P, Marchant R (1992) The Isolation and Characterization of a Salicylate-Hydroxylase-Producing Strain of Pseudomonas putidaAppl Microbiol Biotechnol 37: 378-381.
    [28] Kamin H, White-Stevens RH, Presswood RP (1978) Salicylate Hydroxylase. Methods Enzymol 52: 527-543.
    [29] Banat IM, Nigam P, Kelly B, et al. (1992) Salicylate hydroxylase synthesis in continuous culture using a strain of Pseudomonas putidaProceedings of First Egyptian-Italian Symposium on Biotechnology 1: 335-342.
    [30] Berg A, Holst O, Mattiason B (1989) Continuous culture with complete cell recycle of Pseudomans cepacia ATCC 29351 for production of salicylate hydroxylase. Appl Microbiol Biotechnol 30: 1-4.
    [31] Weinblatt ME (2013) Methotrexate in rheumatoid arthritis: a quarter century of development. Trans. Am Clin Climatol Assoc 124: 16-25.
    [32] Weinblatt ME (2018) Methotrexate: who would have predicted its importance in rheumatoid arthritis? Arthritis Res Ther 20: 103.
    [33] Cronstein BN, Aune TM (2020) Methotrexate and its mechanisms of action in inflammatory arthritis. Nat Rev Rheumatol 16: 145-154.
    [34] Spurlock CF, Aune ZT, Tossberg JT, et al. (2011) Increased sensitivity to apoptosis induced by methotrexate is mediated by JNK. Arthritis Rheum 63: 2606-2616.
    [35] Mathews CK, Scrimgeour KG, Huennekens FM (1963) Dihydrofolate reductase. Methods Enzymol 6: 364-368.
    [36] McClover RS, Simonse CC (1992) Isolation and characterization of a variant Dihydrofolate reductase cDNA from methotrexate-resistant murine LY5178 cells. Nucl Acids Res 18: 7025-7032.
    [37] D'Souza L, Warwick PE, Freisheim JH (1972) Purification and properties of Dihydrofolate reductase from an amethopterin-resistant strain of Streptococcus faeciumBiochemistry 11: 1528-15340.
    [38] Poe M, Greenfeld NJ, Hirshfield JM, et al. (1972) Dihydrofolate reductase: purification and characterisation of the enzyme from an amethopterin-resistant mutant of Escherichia coliBiochemistry 11: 1023-1023.
    [39] Nigam P, Banat IM, Kelly BA, et al. (1993) Dihydrofolate reductase synthesis in continuous culture using a methotrexate-resistant Escherichia coliEnz Microbial Technol 15: 652-656.
    [40] Pandey A, Benjamin S, Soccol CR, et al. (1999) The realm of microbial lipases in biotechnology. Biotechnol Appl Biochem 29: 119-131.
    [41] Loli H, Narwal SK, Saun NK, et al. (2015) Lipases in Medicine: An Overview. Mini Rev Med Chem 15: 1209-1216.
    [42] Du J, Wang Z (2009) Therapeutic potential of lipase inhibitor orlistat in Alzheimer's disease. Med Hypotheses 73: 662-663.
    [43] Lee H, Lim Y, Park SY, et al. (2018) Platycodi radix beverage ameliorates postprandial lipemia response through lipid clearance of triglyceride-rich lipoprotein: A randomized controlled study in healthy subjects with a high-fat load. Nutr Res Pract 12: 371-377.
    [44] Muralidhar RV, Marchant R, Nigam P (2001) Lipases in racemic resolutions. J Chem Technol Biotechnol 76: 3-8.
    [45] Chirumamilla RR, Marchant R, Nigam P (2001) Captopril, its synthesis from chiral intermediates. J Chem Technol Biotechnol 76: 123-127.
    [46] Muralidhar RV, Chirumamilla RR, Marchant R, et al. (2002) Understanding lipase stereo-selectivity. World J Microbiol Biotechnol 18: 81-97.
    [47] Muralidhar R, Chirumamilla RR, Nigam P (2001) Racemic resolution of RS-Baclofen using lipase from Candida cylindraceaeProceedings of 15th Forum in Applied Biotechnology 66: 227-232.
    [48] Muralidhar RV, Chirumamilla RR, Ramachandran VN, et al. (2002) Resolution of (RS)-proglumide using lipase from Candida cylindraceaeBioorg Med Chem 10: 1471-1475.
    [49] Kumar KK, Deshpande BS, Ambedkar SS (1993) Production of extracellular acidic lipase by Rhizopus arrhizus as a function of culture conditions. Hind Antibiot Bull 35: 33-42.
    [50] Dalmau E, Montesinos JL, Lotti M, et al. (2000) Effect of different carbon source on lipase production by Candida rugosaEnz Microb Technol 26: 657-663.
    [51] Kim SS, Kim EK, Rhee JS (1996) Effects of growth rate on the production of Pseudomonas fluorescence lipase during fed-batch cultivation of E. coliBiotechnol Prog 12: 718-722.
    [52] Muralidhar RV, Chirumamilla RR, Marchant R, et al. (2001) A response surface approach for the comparison of lipase production by Candida cylindracea using two different carbon sources. Biochem Eng J 9: 17-23.
    [53] Horiuti Y, Koga H, Gocho S (1972) Effective method for activity assay of lipase from Chromobacterium vicosumJ Biochem 80: 367-370.
    [54] Priyanka P, Kinsella G, Henehan GT, et al. (2019) Isolation, purification and characterization of a novel solvent stable lipase from Pseudomonas reinekeiProtein Expr Purif 153: 121-130.
    [55] Mehta A, Grover C, Gupta R (2018) Purification of lipase from Aspergillus fumigatus using octyl sepharose column chromatography and its characterization. J Basic Microbiol 58: 857-866.
    [56] Herrera-Lopez EJ (2012) Lipase and phospholipase biosensors: A review. Methods Mol Biol 861: 525-543.
    [57] Sandoval G, Herrera-Lopez EJ (2018) Lipase, phospholipase, and esterase biosensors (review). Methods Mol Biol 1835: 391-425.
    [58] Pohanka V (2019) Biosensors and bioassays based on lipases, principles and applications, a review. Molecules 24: 616.
    [59] Patel N, Rai D, Shivam SS, et al. (2019) Lipases: Sources, Production, Purification, and Applications. Recent Pat Biotechnol 13: 45-46.
  • This article has been cited by:

    1. José M. Mazón, The Cheeger cut and Cheeger problem in metric graphs, 2022, 12, 1664-2368, 10.1007/s13324-022-00729-y
    2. Salvador Moll, Vicent Pallardó-Julià, Marcos Solera, Segmentation in Measure Spaces, 2024, 89, 0095-4616, 10.1007/s00245-024-10134-5
    3. Luís N. Baptista, James B. Kennedy, Delio Mugnolo, Mean Distance on Metric Graphs, 2024, 34, 1050-6926, 10.1007/s12220-024-01574-0
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3142) PDF downloads(158) Cited by(6)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog