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Co3O4-MoS2 nanocomposites (NCs) were deposited on titanium sheets at room temperature using a vacuum kinetic spray process and Co3O4 and MoS2 micro powders. Co3O4-MoS2 NCs/Ti electrodes were used as electrocatalysts for non-enzymatic detection of H2O2 in 0.1 M NaOH. X-ray photoelectron spectroscopy revealed an improvement in the synergy between various cobalt-based active sites and MoS2 species in all hybrid electrodes. Analysis of the amperometric response of H2O2 oxidation in 0.1 M NaOH revealed that titanium-modified electrodes with either nanostructured Co3O4 or Co3O4-MoS2 NCs exhibited a wide linear detection range of 20 μM to 1mM. A gradual increase in the amount of Co3O4 in the modified electrodes led to a reduction in charge-transfer resistance and the evolution of more electro-active sites at the working electrode surface, accompanied by an overall enhancement in detection sensitivity to a peak of 3000 μA•mM−1•cm−2 at a Co3O4 content of 75 wt.%. Besides, the titanium modified electrodes with Co3O4-MoS2 NCs exhibited high selectivity for H2O2 oxidation in 0.1 M NaOH.

Squeezing and phase space coherence are investigated for a bimodal cavity accommodating
a two-level atom. The two modes of the cavity are initially in the Barut–Girardello coherent states.
This system is studied with the SU(1,1)-algebraic model. Quantum effects are analyzed with the
Husimi function under the effect of the intrinsic decoherence. Squeezing, quantum mixedness,
and the phase information, which are affected by the system parameters, exalt a richer structure
dynamic in the presence of the intrinsic decoherence.

In this paper, we provide an analytical description of the intrinsic noise model of the two-mode cavity, containing
a single two-level atom through su(1,1)-algebraic treatment. Each field interacts with the qubit through a fourphoton
process and is assumed initially in Barut-Girardello coherent state. The Atomic Quantum Fisher information
(AQFI), atomic entropy and the correlation function are analyzed under the effects of the intrinsic
damping and the superposition of the initial generalized Barut-Girardello Coherent States (B-GCS). Under the
nonlinear interactions, the AQFI has irregular oscillatory behavior that depends on the superposition of the BGCS.
Due to the high nonlinear interactions, the damping work with a very small value and leads to the
degradation of the AQFI. This degradation can be enhanced in the case of the even B-GCS. The generated
entanglement and mixedness of the atomic entropy are explored, they are very sensitive to the physical parameters
of the intrinsic damping, the detuning and the initial cavity state. It is found that the second-order
correlation depends on the mean photon number, the superposition of the B-GCS, and the damping. For the
small value of the mean photon number and with the damping, the sub-Poissonian effects increase with the BGCS,
while the super-Poissonian behavior increases with its even states. For the off-resonant case, the frequency,
the regularity and stability of the NSOC function, the atomic entropy and the AQFI are enhanced

In this study, an analytical solution for a novel intrinsic noise model represented by two coupled qubits inside a
cavity, the Su.1; 1/ and Su.2/ Lie group, is investigated. Each qubit interacts with a two-mode parametric amplifier
through a nondegenerate two-photon process when the two-mode system is initially in a superposition of a
generalized Barut–Girardello coherent state. The nonlinearity of the interaction and the initial two-mode fields
lead to the generation of different quantum correlations (QCs), which are measured by log-negativity, uncertaintyinduced
nonlocality, and local quantum uncertainty (LQU). The generatedQCof the interaction depends not only
on the two-qubit coupling but also on the intrinsic noise and the initial coherent intensity. Our results show that
the ability of the two-qubit coupling to protect and enhance the robustness and generation of the QCs depends
on the superposition and the coherent intensity of the initial Su.1; 1/ state. Furthermore, the sudden birth and
death of the log-negativity and the sudden variations of the LQU depend on the intrinsic noise and the two-qubit
coupling.

We explore the phase space quantum effects, quantum coherence and non-classicality, for two
coupled identical qubits with intrinsic decoherence. The two qubits are in a nonlinear interaction
with a quantum field via an intensity-dependent coupling. We investigate the non-classicality via the
Wigner functions. We also study the phase space information and the quantum coherence via the
Q-function, Wehrl density, and Wehrl entropy. It is found that the robustness of the non-classicality
for the superposition of coherent states, is highly sensitive to the coupling constants. The phase space
quantum information and the matter-light quantum coherence can be controlled by the two-qubit
coupling, initial cavity-field and the intrinsic decoherence

Abstract
Fucoidanase and alginate lyase are promising biocatalysts for several biotechnological applications. The sequentially extracted
fucoidan and alginate from the brown macroalgae Sargassum latifolium were used for the optimization of a cost-effective culture
medium for fucoidanase and alginate lyase production by the marine fungus Dendryphiella arenaria. Plackett–Burman statistical
design was conducted for initial determination of the importance of 11 independent variables on enzyme potentiation, and the
significant variables were further optimized using Box–Behnken design. The optimum conditions for fucoidanase production
were fucoidan (1.5% w/v), NaCl (1.5%), urea (0.3%), and incubation period (2 days), which gives ~ 4 U mL−1 of crude
fucoidanase. While, alginate (1.5% w/v), NaCl (4%), NH4Cl (0.3%), and incubation period (6 days) were the optimum conditions
that enhanced alginate lyase production to ~ 24 U mL−1
. Additionally, a new protocol for the enzymatic saccharification of
fucoidan and alginate was optimized using Box–Behnken design with respect to substrate concentration, enzyme dosage, and
temperature. The enzymatic saccharification of citric acid-extracted fucoidan gave a maximum yield of reducing sugar
365 mg g−1 fucoidan, while the alkali-extracted alginate gave 439.66 mg g−1 alginate. The results showed that the two enzymes
could be exploited for the efficient production of reducing sugars from fucoidan and alginate, which are the key substrate for
producing biofuels from brown macroalgal biomass

Abstract
Fucoidanase and alginate lyase are promising biocatalysts for several biotechnological applications. The sequentially extracted
fucoidan and alginate from the brown macroalgae Sargassum latifolium were used for the optimization of a cost-effective culture
medium for fucoidanase and alginate lyase production by the marine fungus Dendryphiella arenaria. Plackett–Burman statistical
design was conducted for initial determination of the importance of 11 independent variables on enzyme potentiation, and the
significant variables were further optimized using Box–Behnken design. The optimum conditions for fucoidanase production
were fucoidan (1.5% w/v), NaCl (1.5%), urea (0.3%), and incubation period (2 days), which gives ~ 4 U mL−1 of crude
fucoidanase. While, alginate (1.5% w/v), NaCl (4%), NH4Cl (0.3%), and incubation period (6 days) were the optimum conditions
that enhanced alginate lyase production to ~ 24 U mL−1
. Additionally, a new protocol for the enzymatic saccharification of
fucoidan and alginate was optimized using Box–Behnken design with respect to substrate concentration, enzyme dosage, and
temperature. The enzymatic saccharification of citric acid-extracted fucoidan gave a maximum yield of reducing sugar
365 mg g−1 fucoidan, while the alkali-extracted alginate gave 439.66 mg g−1 alginate. The results showed that the two enzymes
could be exploited for the efficient production of reducing sugars from fucoidan and alginate, which are the key substrate for
producing biofuels from brown macroalgal biomass

Abstract
Fucoidanase and alginate lyase are promising biocatalysts for several biotechnological applications. The sequentially extracted
fucoidan and alginate from the brown macroalgae Sargassum latifolium were used for the optimization of a cost-effective culture
medium for fucoidanase and alginate lyase production by the marine fungus Dendryphiella arenaria. Plackett–Burman statistical
design was conducted for initial determination of the importance of 11 independent variables on enzyme potentiation, and the
significant variables were further optimized using Box–Behnken design. The optimum conditions for fucoidanase production
were fucoidan (1.5% w/v), NaCl (1.5%), urea (0.3%), and incubation period (2 days), which gives ~ 4 U mL−1 of crude
fucoidanase. While, alginate (1.5% w/v), NaCl (4%), NH4Cl (0.3%), and incubation period (6 days) were the optimum conditions
that enhanced alginate lyase production to ~ 24 U mL−1
. Additionally, a new protocol for the enzymatic saccharification of
fucoidan and alginate was optimized using Box–Behnken design with respect to substrate concentration, enzyme dosage, and
temperature. The enzymatic saccharification of citric acid-extracted fucoidan gave a maximum yield of reducing sugar
365 mg g−1 fucoidan, while the alkali-extracted alginate gave 439.66 mg g−1 alginate. The results showed that the two enzymes
could be exploited for the efficient production of reducing sugars from fucoidan and alginate, which are the key substrate for
producing biofuels from brown macroalgal biomass

Abstract
Fucoidanase and alginate lyase are promising biocatalysts for several biotechnological applications. The sequentially extracted
fucoidan and alginate from the brown macroalgae Sargassum latifolium were used for the optimization of a cost-effective culture
medium for fucoidanase and alginate lyase production by the marine fungus Dendryphiella arenaria. Plackett–Burman statistical
design was conducted for initial determination of the importance of 11 independent variables on enzyme potentiation, and the
significant variables were further optimized using Box–Behnken design. The optimum conditions for fucoidanase production
were fucoidan (1.5% w/v), NaCl (1.5%), urea (0.3%), and incubation period (2 days), which gives ~ 4 U mL−1 of crude
fucoidanase. While, alginate (1.5% w/v), NaCl (4%), NH4Cl (0.3%), and incubation period (6 days) were the optimum conditions
that enhanced alginate lyase production to ~ 24 U mL−1
. Additionally, a new protocol for the enzymatic saccharification of
fucoidan and alginate was optimized using Box–Behnken design with respect to substrate concentration, enzyme dosage, and
temperature. The enzymatic saccharification of citric acid-extracted fucoidan gave a maximum yield of reducing sugar
365 mg g−1 fucoidan, while the alkali-extracted alginate gave 439.66 mg g−1 alginate. The results showed that the two enzymes
could be exploited for the efficient production of reducing sugars from fucoidan and alginate, which are the key substrate for
producing biofuels from brown macroalgal biomass