In the context of the fight against climate change and the development of renewable and new energies, the management of cashew nutshells is an issue. The physico-chemical and energetic properties of cashew nutshells show that they are good raw materials that can be used in thermochemical processes. Cashew nutshells were heated to temperatures of 300 ℃, 350 ℃ and 400 ℃ for 40 to 120 minutes to extract the liquid from the cashew nutshells. Biochar yields by mass were 46.5–52.8 wt%, 46.2–35.9 wt% and 37.8–30.3 wt% at temperatures of 300 ℃, 350 ℃ and 400 ℃, respectively. Biochar with high higher heating value and low residual oil content was obtained at a heating temperature of 300 ℃ for a time of 120 min. The biochar obtained under these optimum conditions has a residual oil content of less than 1 wt% and a higher heating value of 32.1 MJ·kg-1. The other two products, bio-oil and smoke, have higher heating values of 36 MJ·kg-1 and 10.2 MJ·Nm-3, respectively. Temperature and heating time improve the energy density and quality of biochar with low residual oil content. Heat treatment is therefore a promising technique for the production of an environmentally friendly and sustainable high energy solid biofuel from cashew nutshells.
Citation: Boua Sidoine KADJO, Mohamed Koïta SAKO, Kouadio Alphonse DIANGO, Amélie DANLOS, Christelle PERILHON. Characterization and optimization of the heat treatment of cashew nutshells to produce a biofuel with a high-energy value[J]. AIMS Energy, 2024, 12(2): 387-407. doi: 10.3934/energy.2024018
[1] | Jorge Rebaza . On a model of COVID-19 dynamics. Electronic Research Archive, 2021, 29(2): 2129-2140. doi: 10.3934/era.2020108 |
[2] | Khongorzul Dashdondov, Mi-Hye Kim, Mi-Hwa Song . Deep autoencoders and multivariate analysis for enhanced hypertension detection during the COVID-19 era. Electronic Research Archive, 2024, 32(5): 3202-3229. doi: 10.3934/era.2024147 |
[3] | Yazao Yang, Haodong Tang, Tangzheng Weng . Changes in public travel willingness in the post-COVID-19 era: Evidence from social network data. Electronic Research Archive, 2023, 31(7): 3688-3703. doi: 10.3934/era.2023187 |
[4] | Zimeng Lv, Jiahong Zeng, Yuting Ding, Xinyu Liu . Stability analysis of time-delayed SAIR model for duration of vaccine in the context of temporary immunity for COVID-19 situation. Electronic Research Archive, 2023, 31(2): 1004-1030. doi: 10.3934/era.2023050 |
[5] | Hao Nong, Yitan Guan, Yuanying Jiang . Identifying the volatility spillover risks between crude oil prices and China's clean energy market. Electronic Research Archive, 2022, 30(12): 4593-4618. doi: 10.3934/era.2022233 |
[6] | Chengtian Ouyang, Huichuang Wu, Jiaying Shen, Yangyang Zheng, Rui Li, Yilin Yao, Lin Zhang . IEDO-net: Optimized Resnet50 for the classification of COVID-19. Electronic Research Archive, 2023, 31(12): 7578-7601. doi: 10.3934/era.2023383 |
[7] | Gaohui Fan, Ning Li . Application and analysis of a model with environmental transmission in a periodic environment. Electronic Research Archive, 2023, 31(9): 5815-5844. doi: 10.3934/era.2023296 |
[8] | Liling Huang, Yong Tan, Jinzhu Ye, Xu Guan . Coordinated location-allocation of cruise ship emergency supplies under public health emergencies. Electronic Research Archive, 2023, 31(4): 1804-1821. doi: 10.3934/era.2023093 |
[9] | Zhiliang Li, Lijun Pei, Guangcai Duan, Shuaiyin Chen . A non-autonomous time-delayed SIR model for COVID-19 epidemics prediction in China during the transmission of Omicron variant. Electronic Research Archive, 2024, 32(3): 2203-2228. doi: 10.3934/era.2024100 |
[10] | Cong Cao, Chengxiang Chu, Jinjing Yang . "If you don't buy it, it's gone!": The effect of perceived scarcity on panic buying. Electronic Research Archive, 2023, 31(9): 5485-5508. doi: 10.3934/era.2023279 |
In the context of the fight against climate change and the development of renewable and new energies, the management of cashew nutshells is an issue. The physico-chemical and energetic properties of cashew nutshells show that they are good raw materials that can be used in thermochemical processes. Cashew nutshells were heated to temperatures of 300 ℃, 350 ℃ and 400 ℃ for 40 to 120 minutes to extract the liquid from the cashew nutshells. Biochar yields by mass were 46.5–52.8 wt%, 46.2–35.9 wt% and 37.8–30.3 wt% at temperatures of 300 ℃, 350 ℃ and 400 ℃, respectively. Biochar with high higher heating value and low residual oil content was obtained at a heating temperature of 300 ℃ for a time of 120 min. The biochar obtained under these optimum conditions has a residual oil content of less than 1 wt% and a higher heating value of 32.1 MJ·kg-1. The other two products, bio-oil and smoke, have higher heating values of 36 MJ·kg-1 and 10.2 MJ·Nm-3, respectively. Temperature and heating time improve the energy density and quality of biochar with low residual oil content. Heat treatment is therefore a promising technique for the production of an environmentally friendly and sustainable high energy solid biofuel from cashew nutshells.
The class of normalized analytic functions in the open unit disc Δ={z∈C:|z|<1} denoted by Ω consists of the functions f of the form
f(z)=z+∞∑n=2anzn, | (1.1) |
where f′(0)−1=f(0)=0. Let ℓ(z)∈Ω defined by
ℓ(z)=z+∞∑n=2bnzn. | (1.2) |
Then the Hadamard product, also known as the convolution of two function f(z) and ℓ(z) denoted by f∗ℓ is defined as
(f∗ℓ)(z)=f(z)∗ℓ(z)=z+∞∑n=2anbnzn,z∈Δ. |
Moreover, f(z)≺ℓ(z), if there exist a Schwartz function χ(z) in A, satisfying the conditions χ(0)=0 and |χ(z)|<1, such that f(z)=ℓ(χ(z)). The symbol ≺ is used to denote subordination.
Let S denote the subclass of Ω of univalent functions in Δ. Let P,C,S∗ and K represent the subclasses of S known as the classes of Caratheodory functions, convex funtions, starlike functions, and close-to-convex functions, respectively.
The concept of bounded rotations was introduced by Brannan in [7]. A lot of quality work on the generalization of this concept has already been done. Working in the same manner, we have defined the following new classes.
Definition 1.1. Let
ν(z)=1+∞∑n=1pnzn | (1.3) |
be analytic in Δ such that ν(0)=1. Then for m≥2, ν(z)∈Pm(ℏ(z)), if and only if
ν(z)=(m4+12)ν1(z)−(m4−12)ν2(z), | (1.4) |
where ℏ(z) is a convex univalent function in Δ and νi(z)≺ℏ(z) for i=1,2.
Particularly, for m=2, we get the class P(ℏ(z)).
Definition 1.2. Let f(z) and ℓ(z) be two analytic functions as defined in (1.1) and (1.2) such that (f∗ℓ)′(z)≠0. Let ℏ(z) be a convex univalent function. Then for m≥2, f∈Vm[ℏ(z);ℓ(z)] if and only if
(z(f∗ℓ)′)′(f∗ℓ)′∈Pm(ℏ(z)),z∈Δ. | (1.5) |
Particularly, for m=2, we will get the class C[ℏ(z);ℓ(z)]. So, a function f∈C[ℏ(z);ℓ(z)] if and only if
(z(f∗ℓ)′)′(f∗ℓ)′≺ℏ(z),z∈Δ. |
Definition 1.3. Let f(z) and ℓ(z) be the functions defined in (1.1) and (1.2), then f(z)∈Rm[ℏ(z);ℓ(z)] if and only if
z(f∗ℓ)′(f∗ℓ)∈Pm(ℏ(z)),z∈Δ. | (1.6) |
Particularly, for m=2, we get the class SΛ[ℏ(z);ℓ(z)], i.e., f∈SΛ[ℏ(z);ℓ(z)] if and only if
z(f∗ℓ)′(f∗ℓ)≺ℏ(z),z∈Δ. |
From (1.5) and (1.6) it can be easily noted that f∈Vm[ℏ(z);ℓ(z)] if and only if zf′(z)∈Rm[ℏ(z);ℓ(z)]. For m=2, this relation will hold for the classes C[ℏ(z);ℓ(z)] and SΛ[ℏ(z);ℓ(z)].
Definition 1.4. Let f(z) and ℓ(z) be analytic function as defined in (1.1) and (1.2) and m≥2. Let ℏ(z) be the convex univalent function. Then, f∈Tm[ℏ(z);ℓ(z)] if and only if there exists a function ψ(z)∈SΛ[ℏ(z);ℓ(z)] such that
z(f∗ℓ)′ψ∗ℓ∈Pm(ℏ(z)),z∈Δ. | (1.7) |
It is interesting to note that the particular cases of our newly defined classes will give us some well-known classes already discussed in the literature. Some of these special cases have been elaborated below.
Special Cases: Let ℓ(z) be the identity function defined as z1−z denoted by I i.e., f∗ℓ=f∗I=f. Then
(1) For ℏ(z)=1+z1−z we have Pm(ℏ(z))=Pm,Rm[ℏ(z);ℓ(z)]=Rm introduced by Pinchuk [23] and the class Vm[ℏ(z);ℓ(z)]=Vm defined by Paatero [21]. For m=2, we will get the well-known classes of convex functions C and the starlike functions SΛ.
(2) Taking ℏ(z)=1+(1−2δ)z1−z, we get the classes Pm(δ),Rm(δ) and Vm(δ) presented in [22]. For m=2, we will get the classes C(δ) and SΛ(δ).
(3) Letting ℏ(z)=1+Az1+Bz, with −1≤B<A≤1 introduced by Janowski in [12], the classes Pm[A,B],Rm[A,B] and Vm[A,B] defined by Noor [16,17] can be obtained. Moreover, the classes C[A,B] and SΛ[A,B] introduced by [12] can be derived by choosing m=2.
A significant work has already been done by considering ℓ(z) to be different linear operators and ℏ(z) to be any convex univalent function. For the details see ([4,9,18,19,24]).
The importance of Mittag-Leffler functions have tremendously been increased in the last four decades due to its vast applications in the field of science and technology. A number of geometric properties of Mittag-Leffler function have been discussed by many researchers working in the field of Geometric function theory. For some recent and detailed study on the Geometric properties of Mittag-Leffler functions see ([2,3,31]).
Special function theory has a vital role in both pure and applied mathematics. Mittag-Leffler functions have massive contribution in the theory of special functions, they are used to investigate certain generalization problems. For details see [11,26]
There are numerous applications of Mittag-Leffler functions in the analysis of the fractional generalization of the kinetic equation, fluid flow problems, electric networks, probability, and statistical distribution theory. The use of Mittag-Leffler functions in the fractional order integral equations and differential equations attracted many researchers. Due to its connection and applications in fractional calculus, the significance of Mittag-Leffler functions has been amplified. To get a look into the applications of Mittag-Leffler functions in the field of fractional calculus, (see [5,27,28,29,30]).
Here, in this article we will use the operator Hγ,κλ,η:Ω→Ω, introduced by Attiya [1], defined as
Hγ,κλ,η(f)=μγ,κλ,η∗f(z),z∈Δ, | (1.8) |
where η,γ∈C, ℜ(λ)>max{0,ℜ(k)−1} and ℜ(k)>0. Also, ℜ(λ)=0 when ℜ(k)=1;η≠0. Here, μγ,κλ,η is the generalized Mittag-Leffler function, defined in [25]. The generalized Mittag-Leffler function has the following representation.
μγ,κλ,η=z+∞∑n=2Γ(γ+nκ)Γ(λ+η)Γ(γ+κ)Γ(η+λn)n!zn. |
So, the operator defined in (1.8) can be rewritten as:
Hγ,κλ,η(f)(z)=z+∞∑n=2Γ(γ+nκ)Γ(λ+η)Γ(γ+κ)Γ(η+λn)n!anzn,z∈Δ. | (1.9) |
Attiya [1] presented the properties of the aforesaid operator as follows:
z(Hγ,κλ,η(f(z)))′=(γ+κκ)(Hγ+1,κλ,η(f(z)))−(γκ)(Hγ,κλ,η(f(z))), | (1.10) |
and
z(Hγ,κλ,η+1(f(z)))′=(λ+ηλ)(Hγ,κλ,η(f(z)))−(ηλ)(Hγ,κλ,η+1(f(z))). | (1.11) |
However, as essential as real-world phenomena are, discovering a solution for the commensurate scheme and acquiring fundamentals with reverence to design variables is challenging and time-consuming. Among the most pragmatically computed classes, we considered the new and novel class which is very useful for efficiently handling complex subordination problems. Here, we propose a suitably modified scheme in order to compute the Janowski type function of the form ℏ(z)=(1+Az1+Bz)β, where 0<β≤1 and −1≤B<A≤1, which is known as the strongly Janowski type function. Moreover, for ℓ(z), we will use the function defined in (1.9). So, the classes defined in Definition 1.1–1.4 will give us the following novel classes.
Definition 1.5. A function ν(z) as defined in Eq (1.3) is said to be in the class P(m,β)[A,B] if and only if for m≥2 there exist two analytic functions ν1(z) and ν2(z) in Δ, such that
ν(z)=(m4+12)ν1(z)−(m4−12)ν2(z), |
where νi(z)≺(1+Az1+Bz)β for i=1,2. For m=2, we get the class of strongly Janowki type functions Pβ[A,B].
Moreover,
V(m,β)[A,B;γ,η]={f∈Ω:(z(Hγ,κλ,ηf(z))′)′(Hγ,κλ,ηf(z))′∈P(m,β)[A,B]}, |
R(m,β)[A,B;γ,η]={f∈Ω:z(Hγ,κλ,ηf(z))′Hγ,κλ,ηf(z)∈P(m,β)[A,B]}, |
Cβ[A,B,γ,η]={f∈Ω:(z(Hγ,κλ,ηf(z))′)′(Hγ,κλ,ηf(z))′∈Pβ[A,B]}, |
SΛβ[A,B,γ,η]={f∈Ω:z(Hγ,κλ,ηf(z))′Hγ,κλ,ηf(z)∈Pβ[A,B]}, |
T(m,β)[A,B;γ,η]={f∈Ω:z(Hγ,κλ,ηf(z))′Hγ,κλ,ηψ(z)∈P(m,β)[A,B],whereψ(z)∈SΛβ[A,B,γ,η]}, |
where η,γ∈C, ℜ(λ)>max{0,ℜ(k)−1} and ℜ(k)>0. Also, ℜ(λ)=0 when ℜ(k)=1;η≠0. It can easily be noted that there exists Alexander relation between the classes V(m,β)[A,B;γ,η] and R(m,β)[A,B;γ,η], i.e.,
f∈V(m,β)[A,B;γ,η]⟺zf′∈R(m,β)[A,B;γ,η]. | (1.12) |
Throughout this investigation, −1≤B<A≤1, m≥2 and 0<β≤1 unless otherwise stated.
Lemma 2.1. ([13]) Let ν(z) as defined in (1.3) be in P(m,β)[A,B]. Then ν(z)∈Pm(ϱ), where 0≤ϱ=(1−A1−B)β<1.
Lemma 2.2. ([8]) Let ℏ(z) be convex univalent in Δ with h(0)=1 and ℜ(ζℏ(z)+α)>0(ζ∈C). Let p(z) be analytic in Δ with p(0)=1, which satisfy the following subordination relation
p(z)+zp′(z)ζp(z)+α≺ℏ(z), |
then
p(z)≺ℏ(z). |
Lemma 2.3. ([10]) Let ℏ(z)∈P. Then for |z|<r, 1−r1+r≤ℜ(ℏ(z))≤ |ℏ(z)|≤1+r1−r, and |h′(z)|≤2rℜℏ(z)1−r2.
Theorem 3.1. Let ϱ=(1−A1−B)β. Then for ℜ(γκ)>−ϱ,
R(m,β)[A,B,γ+1,η]⊂R(m,β)[A,B,γ,η]. |
Proof. Let f(z)∈R(m,β)[A,B,γ+1,η]. Set
φ(z)=z(Hγ+1,κλ,ηf(z))′Hγ+1,κλ,ηf(z), | (3.1) |
then φ(z)∈P(m,β)[A,B]. Now, Assume that
ψ(z)=z(Hγ,κλ,ηf(z))′Hγ,κλ,ηf(z). | (3.2) |
Plugging (1.10) in (3.2), we get
ψ(z)=(γ+κκ)(Hγ+1,κλ,ηf(z))−(γκ)(Hγ,κλ,ηf(z))Hγ,κλ,ηf(z). |
It follows that
Hγ,κλ,ηf(z)(κγ+κ)(ψ(z)+γκ)=Hγ+1,κλ,ηf(z). |
After performing logarithmic differentiation and simple computation, we get
ψ(z)+zψ′(z)ψ(z)+γκ=φ(z). | (3.3) |
Now, for m≥2, consider
ψ(z)=(m4+12)ψ1(z)−(m4−12)ψ2(z). | (3.4) |
Combining (3.3) and (3.4) with the similar technique as used in Theorem 3.1 of [20], we get
φ(z)=(m4+12)φ1(z)−(m4−12)φ2(z), |
where
φi(z)=ψi(z)+zψ′i(z)ψi(z)+γκ, |
for i=1,2. Since φ(z)∈P(m,β)[A,B], therefore
φi(z)=ψi(z)+zψ′i(z)ψi(z)+γκ≺(1+Az1+Bz)β, |
for i=1,2. By using Lemma 2.1 and the condition ℜ(γκ)>−ϱ, we have
ℜ(γκ+(1+Az1+Bz)β)>0, |
where ϱ=(1−A1−B)β. Hence, in view of Lemma 2.2, we have
ψi(z)≺(1+Az1+Bz)β, |
for i = 1, 2. This implies ψ(z)∈P(m,β)[A,B], so
f(z)∈R(m,β)[A,B,γ,η], |
which is required to prove.
Theorem 3.2. If ℜ(λη)>−ϱ, where ϱ=(1−A1−B)β, then
R(m,β)[A,B,γ,η]⊂R(m,β)[A,B,γ,η+1]. |
Proof. Let f(z)∈R(m,β)[A,B,γ,η]. Taking
φ(z)=z(Hγ,κλ,ηf(z))′Hγ,κλ,ηf(z), | (3.5) |
we have φ(z)∈P(m,β)[A,B]. Now, suppose that
ψ(z)=z(Hγ,κλ,η+1f(z))′Hγ,κλ,η+1f(z). | (3.6) |
Applying the relation (1.11) in the Eq (3.6), we have
ψ(z)=(λ+ηλ)(Hγ,κλ,ηf(z))−(ηλ)(Hγ,κλ,η+1f(z))Hγ,κλ,η+1f(z). |
arrives at
Hγ,κλ,η+1f(z)(λη+λ)(ψ(z)+ηλ)=Hγ,κλ,ηf(z). |
So by the logarithmic differentiation and simple computation we get,
ψ(z)+zψ′(z)ψ(z)+ηλ=φ(z). | (3.7) |
Therefore, for m≥2, take
ψ(z)=(m4+12)ψ1(z)−(m4−12)ψ2(z). | (3.8) |
Combining Eqs (3.6) and (3.7) using the similar technique as in Theorem 3.1 of [20], we get
φ(z)=(m4+12)φ1(z)−(m4−12)φ2(z), |
where
φi(z)=ψi(z)+zψ′i(z)ψi(z)+ηλ, |
for i=1,2. Since φ(z)∈P(m,β)[A,B], therefore
φi(z)=ψi(z)+zψ′i(z)ψi(z)+ηλ≺(1+Az1+Bz)β, |
for i=1,2. Applying Lemma 2.1 and the condition ℜ(ηλ)>−ϱ, we get
ℜ(ηλ+(1+Az1+Bz)β)>0, |
where ϱ=(1−A1−B)β. Hence, by Lemma 2.2, we have
ψi(z)≺(1+Az1+Bz)β, |
for i = 1, 2. This implies ψ(z)∈P(m,β)[A,B], so
f(z)∈R(m,β)[A,B,γ,η+1], |
which completes the proof.
Corollary 3.1. For m=2, if ℜ(γκ)>−ϱ, where ϱ=(1−A1−B)β. Then
SΛβ[A,B,γ+1,η]⊂SΛβ[A,B,γ,η]. |
Moreover, if ℜ(λη)>−ϱ, then
SΛβ[A,B,γ,η]⊂SΛβ[A,B,γ,η+1]. |
Theorem 3.3. Let ϱ=(1−A1−B)β. Then for ℜ(γκ)>−ϱ,
V(m,β)[A,B,γ+1,η]⊂V(m,β)[A,B,γ,η]. |
Proof. By means of theorem 3.1 and Alexander relation defined in (1.12), we get
f∈V(m,β)[A,B,γ+1,η]⟺zf′∈R(m,β)[A,B,γ+1,η]⟺zf′∈R(m,β)[A,B,γ,η]⟺f∈V(m,β)[A,B,γ,η]. |
Hence the result.
Analogously, we can prove the following theorem.
Theorem 3.4. If ℜ(λη)>−ϱ, where ϱ=(1−A1−B)β, then
V(m,β)[A,B,γ,η]⊂V(m,β)[A,B,γ,η+1]. |
Corollary 3.2. For m=2, if ℜ(γκ)>−ϱ, where ϱ=(1−A1−B)β. Then
Cβ[A,B,γ+1,η]⊂Cβ[A,B,γ,η]. |
Moreover, if ℜ(λη)>−ϱ, then
Cβ[A,B,γ,η]⊂Cβ[A,B,γ,η+1]. |
Theorem 3.5. Let ϱ=(1−A1−B)β, and ℜ(γκ)>−ϱ. Then
T(m,β)[A,B;γ+1,η]⊂T(m,β)[A,B;γ,η]. |
Proof. Let f(z)∈T(m,β)[A,B,γ+1,η]. Then there exist ψ(z)∈SΛβ[A,B,γ+1,η] such that
φ(z)=z(Hγ+1,κλ,ηf(z))′Hγ+1,κλ,ηψ(z)∈P(m,β)[A,B]. | (3.9) |
Now consider
ϕ(z)=z(Hγ,κλ,ηf(z))′Hγ,κλ,ηψ(z). | (3.10) |
Since ψ(z)∈SΛβ[A,B,γ+1,η] and ℜ(γκ)>−ϱ, therefore by Corollary 3.3, ψ(z)∈SΛβ[A,B,γ,η]. So
q(z)=z(Hγ,κλ,ηψ(z))′Hγ,κλ,ηψ(z)∈Pβ[A,B]. | (3.11) |
By doing some simple calculations on (3.11), we get
(κq(z)+γ)Hγ,κλ,ηψ(z)=(γ+κ)Hγ+1,κλ,ηψ(z). | (3.12) |
Now applying the relation (1.10) on (3.10), we get
ϕ(z)Hγ,κλ,ηψ(z)=γ+κκHγ+1,κλ,ηf(z)−γκHγ,κλ,ηf(z). | (3.13) |
Differentiating both sides of (3.13), we have
ϕ(z)(Hγ,κλ,ηψ(z))′+ϕ′(z)Hγ,κλ,ηψ(z)=γ+κκ(Hγ+1,κλ,ηf(z))′−γκ(Hγ,κλ,ηf(z))′. |
By using (3.12) and with some simple computations, we get
ϕ(z)+zϕ′(z)q(z)+γκ=φ(z)∈P(m,β)[A,B], | (3.14) |
with ℜ(q(z)+γκ)>0, since q(z)∈Pβ[A,B], so by Lemma 2.1, ℜ(q(z)>ϱ and ℜ(γκ)>−ϱ. Now consider
ϕ(z)=(m4+12)ϕ1(z)−(m4−12)ϕ2(z). | (3.15) |
Combining (3.14) and (3.15) with the similar technique as used in Theorem 3.1 of [20], we get
φ(z)=(m4+12)φ1(z)−(m4−12)φ2(z), | (3.16) |
where
φi(z)=ϕ(z)+zϕ′zq(z)+γκ, |
for i=1,2. Since φ(z)∈P(m,β)[A,B], therefore
φi(z)≺(1+Az1+Bz)β,i=1,2. |
Using the fact of Lemma 2.2, we can say that
ϕi(z)≺(1+Az1+Bz)β,i=1,2. |
So, ϕ(z)∈P(m,β)[A,B]. Hence we get the required result.
Theorem 3.6. If ℜ(λη)>−ϱ, where ϱ=(1−A1−B)β, then
T(m,β)[A,B,γ,η]⊂T(m,β)[A,B,γ,η+1]. |
Let f(z)∈T(m,β)[A,B,γ,η]. Then there exist ψ(z)∈SΛβ[A,B,γ,η] such that
φ(z)=z(Hγ,κλ,ηf(z))′Hγ,κλ,ηψ(z)∈P(m,β)[A,B]. | (3.17) |
Taking
ϕ(z)=z(Hγ,κλ,η+1f(z))′Hγ,κλ,η+1ψ(z). | (3.18) |
As we know that, ψ(z)∈SΛβ[A,B,γ,η] and ℜ(ηλ)>−ϱ, therefore by Corollary 3.3, ψ(z)∈SΛβ[A,B,γ,η+1]. So
q(z)=z(Hγ,κλ,η+1ψ(z))′Hγ,κλ,η+1ψ(z)∈Pβ[A,B]. | (3.19) |
By doing some simple calculations on (3.19) with the help of (1.11), we get
(λq(z)+η)Hγ,κλ,η+1ψ(z)=(η+λ)Hγ,κλ,ηψ(z). | (3.20) |
Now, applying the relation (1.11) on (3.18), we get
ϕ(z)Hγ,κλ,η+1ψ(z)=η+λλHγ,κλ,ηf(z)−ηλHγ,κλ,η+1f(z). | (3.21) |
Differentiating both sides of Eq (3.21), we have
ϕ(z)(Hγ,κλ,η+1ψ(z))′+ϕ′(z)Hγ,κλ,η+1ψ(z)=η+λλ(Hγ,κλ,ηf(z))′−ηλ(Hγ,κλ,η+1f(z))′, |
some simple calculations along with using (3.20) give us
ϕ(z)+zϕ′(z)q(z)+ηλ=φ(z)∈P(m,β)[A,B], | (3.22) |
with ℜ(q(z)+ηλ)>0. Since q(z)∈Pβ[A,B], so applying Lemma 2.1, we have ℜ(q(z)>ϱ and ℜ(ηλ)>−ϱ.
Assume that
ϕ(z)=(m4+12)ϕ1(z)−(m4−12)ϕ2(z). | (3.23) |
Combining (3.22) and (3.23), along with using the similar technique as in Theorem 3.1 of [20], we get
φ(z)=(m4+12)φ1(z)−(m4−12)φ2(z), | (3.24) |
where
φi(z)=ϕ(z)+zϕ′zq(z)+ηλ, |
for i=1,2. Since φ(z)∈P(m,β)[A,B], therefore
φi(z)≺(1+Az1+Bz)β,i=1,2. |
Applying the fact of Lemma 2.2, we have
ϕi(z)≺(1+Az1+Bz)β,i=1,2. |
So ϕ(z)∈P(m,β)[A,B]. Which gives us the required result.
Corollary 3.3. If ϱ>−min{ℜ(γκ),ℜ(λη)}, where ϱ=(1−A1−B)β, then we have the following inclusion relations:
(i) R(m,β)[A,B,γ+1,η]⊂R(m,β)[A,B,γ,η]⊂R(m,β)[A,B,γ,η+1].
(ii)V(m,β)[A,B,γ+1,η]⊂V(m,β)[A,B,γ,η]⊂V(m,β)[A,B,γ,η+1].
(iii)T(m,β)[A,B,γ+1,η]⊂T(m,β)[A,B,γ,η]⊂T(m,β)[A,B,γ,η+1].
Now, we will discuss some radius results for our defined classes.
Theorem 3.7. Let ϱ=(1−A1−B)β, and ℜ(γκ)>−ϱ. Then
R(m,β)[A,B,γ,η]⊂R(m,β)[ϱ,γ+1,η] |
whenever
|z|<ro=1−ϱ2−ϱ+√3−2ϱ,where0≤ϱ<1. |
Proof. Let f(z)∈R(m,β)[A,B,γ,η]. Then
ψ(z)=z(Hγ,κλ,ηf(z))′Hγ,κλ,ηf(z)∈P(m,β)[A,B]. | (3.25) |
In view of Lemma 2.1 P(m,β)[A,B]⊂Pm(ϱ), for ϱ=(1−A1−B)β, therefore ψ(z)∈Pm(ϱ). So by the Definition of Pm(ϱ) given in [22], there exist two functions ψ1(z),ψ2(z)∈P(ϱ) such that
ψ(z)=(m4+12)ψ1(z)−(m4−12)ψ2(z), | (3.26) |
with m≥2 and ℜ(ψi(z))>ϱ,i=1,2. We can write
ψi(z)=(1−ϱ)hi(z)+ϱ, | (3.27) |
where hi(z)∈P and ℜ(hi(z)>0, for i=1,2. Now, let
ϕ(z)=z(Hγ+1,κλ,ηf(z))′Hγ+1,κλ,ηf(z). | (3.28) |
We have to check when ϕ(z)∈Pm(ϱ). Using relation (1.10) in (3.25), we get
ψ(z)Hγ+1,κλ,ηf(z)=(γ+κκ)(Hγ+1,κλ,η(f(z)))−(γκ)(Hγ,κλ,η(f(z))). |
So, by simple calculation and logarithmic differentiation, we get
ψ(z)+zψ′zψ(z)+γκ=ϕ(z). | (3.29) |
Now, consider
ϕ(z)=(m4+12)ϕ1(z)−(m4−12)ϕ2(z), |
where
ϕi(z)=ψi(z)+zψ′izψi(z)+γκ,i=1,2. |
To derive the condition for ϕi(z) to be in P(ϱ), consider
ℜ(ϕi(z)−ϱ)=ℜ(ψi(z)+zψ′izψi(z)+γκ−ϱ). |
In view of (3.27), we have
ℜ(ϕi(z)−ϱ)=ℜ((1−ϱ)hi(z)+ϱ+z(1−ϱ)h′i(z)γκ+ϱ+(1−ϱ)hi(z)−ϱ)≥(1−ϱ)ℜ(hi(z))−(1−ϱ)|zh′i(z)|ℜ(γκ+ϱ)+(1−ϱ)ℜ(hi(z)). | (3.30) |
We have, ℜ(γκ+ϱ)>0 since ℜ(γκ)>−ϱ. Since hi(z)∈P, hence by using Lemma 2.3 in inequality (3.30), we have
ℜ(ϕi(z)−ϱ)≥(1−ϱ)ℜ(hi(z))−1−ϱ2r1−r2ℜ(hi(z))(1−ϱ)(1−r1+r)=(1−ϱ)ℜ(hi(z))[(1−r)2(1−ϱ)−2r(1−r)2(1−ϱ)]≥(1−ϱ)(1−r1+r)[(1−r)2(1−ϱ)−2r(1−r)2(1−ϱ)]=r2(1−ϱ)−2r(2−ϱ)+(1−ϱ)1−r2. | (3.31) |
Since 1−r2>0, letting T(r)=r2(1−ϱ)−2r(2−ϱ)+(1−ϱ). It is easy to note that T(0)>0 and T(1)<0. Hence, there is a root of T(r) between 0 and 1. Let ro be the root then by simple calculations, we get
ro=1−ϱ2−ϱ+√3−2ϱ. |
Hence ϕ(z)∈Pm(ϱ) for |z|<ro. Thus for this radius ro the function f(z) belongs to the class R(m,β)[ϱ,γ+1,η], which is required to prove.
Theorem 3.8. Let ϱ=(1−A1−B)β, and ℜ(λη)>−ϱ. Then
R(m,β)[A,B,γ,η+1]⊂R(m,β)[ϱ,γ,η], |
whenever
|z|<ro=1−ϱ2−ϱ+√3−2ϱ,where0≤ϱ<1. |
Proof. Let f(z)∈R(m,β)[A,B,γ,η+1]. Then
ψ(z)=z(Hγ,κλ,η+1f(z))′Hγ,κλ,η+1f(z)∈P(m,β)[A,B]. | (3.32) |
By applying of Lemma 2.1, we get P(m,β)[A,B]⊂Pm(ϱ), for ϱ=(1−A1−B)β, therefore ψ(z)∈Pm(ϱ). Hence, the Definition of Pm(ϱ) given in [22], there exist two functions ψ1(z),ψ2(z)∈P(ϱ) such that
ψ(z)=(m4+12)ψ1(z)−(m4−12)ψ2(z), | (3.33) |
with m≥2 and ℜ(ψi(z))>ϱ,i=1,2. We can say that
ψi(z)=(1−ϱ)hi(z)+ϱ, | (3.34) |
where hi(z)∈P and ℜ(hi(z)>0, for i=1,2. Now, assume
ϕ(z)=z(Hγ,κλ,ηf(z))′Hγ,κλ,ηf(z). | (3.35) |
Here, We have to obtain the condition for which ϕ(z)∈Pm(ϱ). Using relation (1.11) in (3.51), we get
ψ(z)Hγ,κλ,ηf(z)=(η+λλ)(Hγ,κλ,η(f(z)))−(ηλ)(Hγ,κλ,η+1(f(z))). |
Thus, by simple calculation and logarithmic differentiation, we have
ψ(z)+zψ′zψ(z)+ηλ=ϕ(z). | (3.36) |
Now, consider
ϕ(z)=(m4+12)ϕ1(z)−(m4−12)ϕ2(z), |
where
ϕi(z)=ψi(z)+zψ′izψi(z)+ηλ,i=1,2. |
To derive the condition for ϕi(z) to be in P(ϱ), consider
ℜ(ϕi(z)−ϱ)=ℜ(ψi(z)+zψ′izψi(z)+ηλ−ϱ). |
In view of (3.34), we have
ℜ(ϕi(z)−ϱ)=ℜ((1−ϱ)hi(z)+ϱ+z(1−ϱ)h′i(z)ηλ+ϱ+(1−ϱ)hi(z)−ϱ)≥(1−ϱ)ℜ(hi(z))−(1−ϱ)|zh′i(z)|ℜ(ηλ+ϱ)+(1−ϱ)ℜ(hi(z)). | (3.37) |
Here, ℜ(ηλ+ϱ)>0 since ℜ(ηλ)>−ϱ. We know that hi(z)∈P, therefore by using Lemma 2.3 in inequality (3.37), we have
ℜ(ϕi(z)−ϱ)≥(1−ϱ)ℜ(hi(z))−1−ϱ2r1−r2ℜ(hi(z))(1−ϱ)(1−r1+r)=(1−ϱ)ℜ(hi(z))[(1−r)2(1−ϱ)−2r(1−r)2(1−ϱ)]≥(1−ϱ)(1−r1+r)[(1−r)2(1−ϱ)−2r(1−r)2(1−ϱ)]=r2(1−ϱ)−2r(2−ϱ)+(1−ϱ)1−r2. | (3.38) |
Since 1−r2>0, letting T(r)=r2(1−ϱ)−2r(2−ϱ)+(1−ϱ). It can easily be seen that T(0)>0 and T(1)<0. Hence, there is a root of T(r) between 0 and 1. Let ro be the root then by simple calculations, we get
ro=1−ϱ2−ϱ+√3−2ϱ. |
Hence ϕ(z)∈Pm(ϱ) for |z|<ro. Thus for this radius ro the function f(z) belongs to the class R(m,β)[ϱ,γ,η], which is required to prove.
Corollary 3.4. Let ϱ=(1−A1−B)β. Then, for m=2, and |z|<ro=1−ϱ2−ϱ+√3−2ϱ,
(i) If ℜ(γκ)>−ϱ, then SΛβ[A,B,γ,η]⊂SΛβ[ϱ,γ+1,η].
(ii) Ifℜ(λη)>−ϱ, then SΛβ[A,B,γ,η+1]⊂SΛβ[ϱ,γ,η].
Theorem 3.9. Let ϱ=(1−A1−B)β. Then for |z|<ro=1−ϱ2−ϱ+√3−2ϱ, we have
(1)V(m,β)[A,B,γ,η]⊂V(m,β)[ϱ,γ+1,η], if ℜ(γκ)>−ϱ.
(2)V(m,β)[A,B,γ,η+1]⊂V(m,β)[ϱ,γ,η], if ℜ(λη)>−ϱ.
Proof. The above results can easily be proved by using Theorem 3.10, Theorem 3.11 and the Alexander relation defined in (1.12).
Theorem 3.10. Let ϱ=(1−A1−B)β, and ℜ(γκ)>−ϱ. Then
T(m,β)[A,B,γ,η]⊂T(m,β)[ϱ,γ+1,η], |
whenever
|z|<ro=1−ϱ2−ϱ+√3−2ϱ,where0≤ϱ<1. |
Proof. Let f∈T(m,β)[A,B,γ,η], then there exist ψ(z)∈SΛβ[A,B,γ,η] such that
φ(z)=z(Hγ,κλ,ηf(z))′Hγ,κλ,ηψ(z)∈P(m,β)[A,B]. | (3.39) |
Since by Lemma 2.1 we know that P(m,β)[A,B]⊂Pm(ϱ), where ϱ=(1−A1−B)β, therefore φ(z)∈Pm(ϱ). So by using the Definition of Pm(ϱ) defined in [22], there exist two functions φ1(z) and φ2(z) such that
φ(z)=(m4+12)φ1(z)−(m4−12)φ2(z), | (3.40) |
where φi(z)∈P(ϱ),i=1,2. We can write
φi(z)=ϱ+(1−ϱ)hi(z), | (3.41) |
where hi(z)∈P. Now, let
ϕ(z)=z(Hγ+1,κλ,ηf(z))′Hγ+1,κλ,ηψ(z). |
Since ψ(z)∈SΛβ[A,B,γ,η], therefore
q(z)=z(Hγ,κλ,ηψ(z))′Hγ,κλ,ηψ(z)∈Pβ[A,B], | (3.42) |
then by using relation (1.10) and doing some simple computation on Eq (3.42), we have
(κq(z)+γ)Hγ,κλ,ηψ(z)=(γ+κ)Hγ+1,κλ,ηψ(z). | (3.43) |
Now, using relation (1.10) in (3.39), we get
φ(z)=(γ+κκ)(Hγ+1,κλ,ηf(z))−(γκ)(Hγ,κλ,ηf(z))Hγ,κλ,ηψ(z). | (3.44) |
By some simple calculations along with differentiation of both sides of (3.44) and then applying (3.43) we get the following relation
φ(z)+zφ′(z)q(z)+(γκ)=ϕ(z). |
Let us consider
ϕ(z)=(m4+12)ϕ1(z)−(m4−12)ϕ2(z), |
where
ϕi(z)=φi(z)+zφ′i(z)q(z)+(γκ), |
i=1,2. Since q(z)∈Pβ[A,B]⊂P(ϱ). Therefore, we can write
q(z)=ϱ+(1−ϱ)qo(z), | (3.45) |
where qo(z)∈P. We have to check when ϕi(z)∈Pm(ϱ). For this consider
ℜ(ϕi(z)−ϱ)=ℜ(φi(z)+zφ′i(z)q(z)+(γκ)−ϱ). |
Using (3.41) and (3.45), we have
ℜ(ϕi(z)−ϱ)=ℜ(ϱ+(1−ϱ)hi(z)+(1−ϱ)zh′i(z)ϱ+(1−ϱ)qo(z)+(γκ)−ϱ), |
where hi(z),qo(z)∈P.
ℜ(ϕi(z)−ϱ)=(1−ϱ)ℜ(hi(z))−(1−ϱ)|zh′i(z)|ℜ(ϱ+γκ)+(1−ϱ)ℜqo(z). |
Since ℜ(γκ)>−ϱ, so ℜ(ϱ+γκ)>0. Now by using the distortion results of Lemma 2.3, we have
ℜ(ϕi(z)−ϱ)=ℜ((1−ϱ)hi(z)+ϱ+z(1−ϱ)h′i(z)γκ+ϱ+(1−ϱ)hi(z)−ϱ)≥(1−ϱ)ℜ(hi(z))−(1−ϱ)|zh′i(z)|ℜ(γκ+ϱ)+(1−ϱ)ℜ(hi(z)). | (3.46) |
Since hi(z)∈P, so ℜ(hi(z))>0 and ℜ(γκ+ϱ)>0 for ℜ(γκ)>−ϱ. Hence, by using Lemma 2.3 in inequality (3.46), we have
ℜ(ϕi(z)−ϱ)≥(1−ϱ)ℜ(hi(z))−1−ϱ2r1−r2ℜ(hi(z))(1−ϱ)(1−r1+r)≥r2(1−ϱ)−2r(2−ϱ)+(1−ϱ)1−r2. |
Since 1−r2>0, taking T(r)=r2(1−ϱ)−2r(2−ϱ)+(1−ϱ). Let ro be the root then by simple calculations, we get
ro=1−ϱ2−ϱ+√3−2ϱ. |
Hence ϕ(z)∈Pm(ϱ) for |z|<ro. Thus for this radius ro the function f(z) belongs to the class T(m,β)[ϱ,γ+1,η], which is required to prove.
Using the analogous approach used in Theorem 3.14, one can easily prove the following theorem.
Theorem 3.11. Let ϱ=(1−A1−B)β, and ℜ(ηλ)>−ϱ. Then
T(m,β)[A,B,γ,η+1]⊂T(m,β)[ϱ,γ,η] |
whenever
|z|<ro=1−ϱ2−ϱ+√3−2ϱ,where0≤ϱ<1. |
Integral Preserving Property: Here, we will discuss some integral preserving properties of our aforementioned classes. The generalized Libera integral operator Iσ introduced and discussed in [6,14] is defined by:
Iσ(f)(z)=σ+1zσ∫z0tσ−1f(t)dt, | (3.47) |
where f(z)∈A and σ>−1.
Theorem 3.12. Let σ>−ϱ, where ϱ=(1−A1−B)β. If f∈R(m,β)[A,B,γ,η] then Iσ(f)∈R(m,β)[A,B,γ,η].
Proof. Let f∈R(m,β)[A,B,γ,η], and set
ψ(z)=z(Hγ,κλ,ηIσ(f)(z))′Hγ,κλ,ηIσ(f)(z), | (3.48) |
where ψ(z) is analytic and ψ(0)=1. From definition of Hγ,κλ,η(f) given by [1] and using Eq (3.47), we have
z(Hγ,κλ,ηIσ(f)(z))′=(σ+1)Hγ,κλ,ηf(z)−σHγ,κλ,ηIσ(f)(z). | (3.49) |
Then by using Eqs (3.48) and (3.49), we have
(σ+1)Hγ,κλ,ηf(z)Hγ,κλ,ηIσ(f)(z)=ψ(z)+σ. |
Logarithmic differentiation and simple computation results in
ϕ(z)=ψ(z)+zψ′(z)ψ(z)+σ=z(Hγ,κλ,ηf(z))′Hγ,κλ,ηf(z)∈P(m,β)[A,B], | (3.50) |
with ℜ(ψ(z)+σ)>0, since ℜ(σ)>−ϱ. Now, consider
ψ(z)=(m4+12)ψ1(z)−(m4−12)ψ2(z). | (3.51) |
Combining (3.50) and (3.51), we get
ϕ(z)=(m4+12)ϕ1(z)−(m4−12)ϕ2(z), |
where ϕi(z)=ψi(z)+zψ′i(z)ψi(z)+σ, i=1,2. Since ϕ(z)∈P(m,β)[A,B], therefore
ϕi(z)≺(1+Az1+Bz)β, |
which implies
ψi(z)+zψ′i(z)ψi(z)+σ≺(1+Az1+Bz)βi=1,2. |
Therefore, using Lemma 2.2 we get
ψi(z)≺(1+Az1+Bz)β, |
or ψ(z)∈P(m,β)[A,B]. Hence the result.
Corollary 3.5. Let σ>−ϱ. Then for m=2, if f∈SΛβ[A,B,γ,η] then Iσ(f)∈SΛβ[A,B,γ,η], where ϱ=(1−A1−B)β.
Theorem 3.13. Let σ>−ϱ, where ϱ=(1−A1−B)β. If f∈V(m,β)[A,B,γ,η] then Iσ(f)∈V(m,β)[A,B,γ,η].
Proof. Let f∈V(m,β)[A,B,γ,η]. Then by using relation (1.12), we have
zf′(z)∈R(m,β)[A,B,γ,η], |
so by using Theorem 3.16, we can say that
Iσ(zf′(z))∈R(m,β)[A,B,γ,η], |
equivalently
z(Iσ(f(z)))′∈R(m,β)[A,B,γ,η], |
so again by using the relation (1.12), we get
Iσ(f)∈V(m,β)[A,B,γ,η]. |
Theorem 3.14. Let σ>−ϱ, where ϱ=(1−A1−B)β. If f∈T(m,β)[A,B,γ,η] then Iσ(f)∈T(m,β)[A,B,γ,η].
Proof. Let f∈T(m,β)[A,B,γ,η]. Then there exists ψ(z)∈SΛβ[A,B,γ,η], such that
φ(z)=z(Hγ,κλ,ηf(z))′(Hγ,κλ,ηψ(z)∈P(m,β)[A,B]. | (3.52) |
Consider
ϕ(z)=z(Hγ,κλ,ηIσ(f)(z))′Hγ,κλ,ηIσ(ψ)(z). | (3.53) |
Since ψ(z)∈SΛβ[A,B,γ,η], then by Corollary 3.17, Iσ(ψ)(z)∈SΛβ[A,B,γ,η]. Therefore
q(z)=z(Hγ,κλ,ηIσ(ψ)(z))′Hγ,κλ,ηIσ(ψ)(z)∈Pβ[A,B]. | (3.54) |
By using (3.47) and Definition of Hγ,κλ,η, we get
q(z)Hγ,κλ,ηIσ(ψ)(z)=(σ+1)Hγ,κλ,η(ψ)(z)−σHγ,κλ,ηIσ(ψ)(z), |
or we can write it as
Hγ,κλ,ηIσ(ψ)(z)=σ+1q(z)+σHγ,κλ,η(ψ)(z). | (3.55) |
Now using the relation (3.47) and the Definition of Hγ,κλ,η, in (3.53), we have
ϕ(z)Hγ,κλ,ηIσ(ψ)(z)=(σ+1)Hγ,κλ,η(f)(z)−σHγ,κλ,ηIσ(f)(z). | (3.56) |
Differentiating both sides of (3.56), we have
ϕ′(z)Hγ,κλ,ηIσ(ψ)(z)+ϕ(z)(Hγ,κλ,ηIσ(ψ)(z))′=(σ+1)(Hγ,κλ,η(f)(z))′−σ(Hγ,κλ,ηIσ(f)(z))′, |
then by simple computations and using (3.53)–(3.55), we get
ϕ(z)+zϕ′(z)q(z)+σ=φ(z), | (3.57) |
with ℜ(σ)>−ϱ, so ℜ(q(z)+σ)>0, since q(z)∈Pβ[A,B]⊂P(ϱ). Consider
ϕ(z)=(m4+12)ϕ1(z)−(m4−12)ϕ2(z), | (3.58) |
Combining Eqs (3.57) and (3.58), we have
φ(z)=(m4+12)φ1(z)−(m4−12)φ2(z), | (3.59) |
where φi(z)=ϕi(z)+zϕ′i(z)q(z)+σ, i=1,2.
Since φ(z)∈P(m,β)[A,B], thus we have
φi(z)≺(1+Az1+Bz)β, |
then
ϕi(z)+zϕ′i(z)q(z)+σ≺(1+Az1+Bz)β,i=1,2. |
Since ℜ(q(z)+σ)>0, therefore using Lemma 2.2 we get
ϕi(z)≺(1+Az1+Bz)β,i=1,2, |
thus ϕ(z)∈P(m,β)[A,B]. Hence the result.
Due to their vast applications, Mittag-Leffler functions have captured the interest of a number of researchers working in different fields of science. The present investigation may help researchers comprehend some stimulating consequences of the special functions. In the present article, we have used generalized Mittag-Leffler functions to define some novel classes related to bounded boundary and bounded radius rotations. Several inclusion relations and radius results for these classes have been discussed. Moreover, it has been proved that these classes are preserved under the generalized Libera integral operator. Finally, we can see that the projected solution procedure is highly efficient in solving inclusion problems describing the harmonic analysis. It is hoped that our investigation and discussion will be helpful in cultivating new ideas and applications in different fields of science, particularly in mathematics.
Δ Open Unit Disc.
Ω Class of normalized analytic functions.
ℜ Real part of complex number.
Γ Gamma function.
χ(z) Schwartz function.
The authors declare that they have no competing interests.
The authors would like to thank the Rector of COMSATS Univeristy Islamabad, Pakistan for providing excellent research oriented environment. The author Thabet Abdeljawad would like to thank Prince Sultan University for the support through TAS research Lab.
[1] | FAO (2023) Crops and livestock products 2023. Available from: https://www.fao.org/faostat/en/#data/QCL. |
[2] | Away4Africa, ACA (2018) Environmental Study of Waste Management in Cashew Processing in eight African countries Benin, Burkina Faso, Côte d'Ivoire, Ghana, Guinea-Bissau, Kenya, Mozambique, Tanzania. Final report, funding from the AfTra Project (African Development Bank) For African Cashew Alliance. Available from: https://www.away4africa.nl/wp-content/uploads/2019/06/2018-A4A_Report_ACA-study-cashew-by-products_Final.pdf |
[3] |
Kouamé KM, Fofana A, Abouo NV, et al. (2020) Sustainable thermochemical valorization of cashew nut waste in West Africa: Experimental study and evaluation of the energy potential in Côte d'Ivoire. Int J Renew Energy Res 10: 1404–1414. https://doi.org/10.20508/ijrer.v10i3.11106.g8016 doi: 10.20508/ijrer.v10i3.11106.g8016
![]() |
[4] |
Mubofu EB, Mgaya JE (2018) Chemical valorization of cashew nut shell waste. Top Curr Chem 376: 8. https://doi.org/10.1007/s41061-017-0177-9 doi: 10.1007/s41061-017-0177-9
![]() |
[5] |
Godjo T, Tagutchou JP, Naquin P, et al. (2015) Valorisation des coques d'anacarde par pyrolyse au Bénin. Déchets Sci Tech 70: 11–18. https://doi.org/10.4267/dechets-sciences-techniques.3282 doi: 10.4267/dechets-sciences-techniques.3282
![]() |
[6] |
Sawadogo M, Tanoh ST, Sidibé S, et al. (2018) Cleaner production in Burkina Faso: Case study of fuel briquettes made from cashew industry waste. J Cleaner Prod 195: 1047–1056. https://doi.org/10.1016/j.jclepro.2018.05.261 doi: 10.1016/j.jclepro.2018.05.261
![]() |
[7] |
Panwar NL, Pawar A, Salvi BL (2019) Comprehensive review on production and utilization of biochar. Appl Sci 1: 19. https://doi.org/10.1007/s42452-019-0172-6 doi: 10.1007/s42452-019-0172-6
![]() |
[8] | Pandiyan VC, Shylaja G, Srinivasan RG, et al. (2020) Studies on use of Cashew Nut Shell Liquid (CNSL) in biopesticide and biofertilizer. Nat Env Poll Tech 19: 103–111. https://neptjournal.com/upload-images/(9)B-3614.pdf |
[9] |
Nyirenda J, Zombe K, Kalaba G, et al. (2021) Exhaustive valorization of cashew nut shell waste as a potential bioresource material. Sci Rep 11: 14. https://doi.org/10.1038/s41598-021-91571-y doi: 10.1038/s41598-021-91571-y
![]() |
[10] |
Papadaki MI, Mendoza-Castillo DI, Reynel-Avila HE, et al. (2021) Nut Shells as Adsorbents of Pollutants: Research and perspectives. Front Chem Eng 3: 15. https://doi.org/10.3389/fceng.2021.640983 doi: 10.3389/fceng.2021.640983
![]() |
[11] |
Jijo J, Roshna R, Santhiya S (2022) Cashew nut shell ash as a supplementary additive in lime stabilized expansive soil composites. Mater Today Proc 62: 644–649. https://doi.org/10.1016/j.matpr.2022.03.627 doi: 10.1016/j.matpr.2022.03.627
![]() |
[12] |
Ba MS, Ndiaye LG, Youm I (2019) Thermochemical characterization of Casamance biomass residues for production of combustibles briquettes. Open J Phys Chem 9: 170–181. https://doi.org/10.4236/ojpc.2019.93009 doi: 10.4236/ojpc.2019.93009
![]() |
[13] |
Ifa L, Yani S, Nurjannah N, et al. (2020) Techno-economic analysis of bio-briquette from cashew nut shell waste. Heliyon 6: 9. https://doi.org/10.1016/j.heliyon.2020.e05009 doi: 10.1016/j.heliyon.2020.e05009
![]() |
[14] |
Ajith Kumar TT, Mech N, Ramesh ST, et al. (2022) Evaluation of composite briquettes from dry leaves in energy applications for agrarian communities in India. J Clean Prod 350: 131312. https://doi.org/10.1016/j.jclepro.2022.131312 doi: 10.1016/j.jclepro.2022.131312
![]() |
[15] |
Nikiema M, Somda MK, Sawadogo JB, et al. (2020) Valorization of agricultural waste: theoretical estimation and experimental biomethane yield from cashew nut hulls. J Sustain Bioeng Syst 10: 113–130. https://doi.org/10.4236/jsbs.2020.104009 doi: 10.4236/jsbs.2020.104009
![]() |
[16] |
Moreira R, Dos Reis Orsini R, Vaz JM, et al. (2017) Production of biochar, bio-oil and synthesis gas from cashew nut shell by slow pyrolysis. Waste Biomass Valorization 8: 217–224. https://doi.org/10.1007/s12649-016-9569-2 doi: 10.1007/s12649-016-9569-2
![]() |
[17] |
Nam NH, Anh KD, Truc LGT, et al. (2020) Pyrolysis of cashew nut shell: A parametric study. Vietnam J Chem 5: 506–511. https://doi.org/10.1002/vjch.202000015 doi: 10.1002/vjch.202000015
![]() |
[18] |
Coulibaly A, Sako MK, Soro D, et al. (2022) Valuation of cashew nut shell for the production of biofuel. Energy Rep 8: 691–707. http://dx.doi.org/10.1016/j.egyr.2022.07.090 doi: 10.1016/j.egyr.2022.07.090
![]() |
[19] |
Sakulkit P, Palamanit A, Dejchanchaiwong R, et al. (2020) Characteristics of pyrolysis products from pyrolysis and co-pyrolysis of rubber wood and oil palm trunk biomass for biofuel and value-added applications. J Environ Chem Eng 8: 15. https://doi.org/10.1016/j.jece.2020.104561 doi: 10.1016/j.jece.2020.104561
![]() |
[20] |
Van Soest PJ, Robertson JB, Lewis BA (1991) Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J Dairy Sci 74: 3583–3597. https://doi.org/10.3168/jds.S0022-0302(91)78551-2 doi: 10.3168/jds.S0022-0302(91)78551-2
![]() |
[21] |
Kaur R, Kumar VT, Krishna BB, et al. (2023) Characterization of slow pyrolysis products from three different cashew wastes. Bioresour Technol 376: 128859. https://doi.org/10.1016/j.biortech.2023.128859 doi: 10.1016/j.biortech.2023.128859
![]() |
[22] |
Ábrego J, Plaza D, Luño F, et al. (2018) Pyrolysis of cashew nutshells: Characterization of products and energy balance. Energy 158: 72–80. https://doi.org/10.1016/j.energy.2018.06.011 doi: 10.1016/j.energy.2018.06.011
![]() |
[23] |
Mehetre SA, Sengar SH, Panwar NL, et al. (2016) Performance evaluation of improved carbonized cashew nut shell based cookstove. Waste Biomass Valorization 7: 1221–1225. https://doi.org/10.1007/s12649-016-9497-1 doi: 10.1007/s12649-016-9497-1
![]() |
[24] |
Anand A, Gautam S, Chand Ram LC (2023) A characteristic-based decision tree approach for sustainable energy applications of biomass residues from two major classes. Fuel 339: 127483. https://doi.org/10.1016/j.fuel.2023.127483 doi: 10.1016/j.fuel.2023.127483
![]() |
[25] |
Homchat K, Ramphueiphad S (2022). The continuous carbonisation of rice husk on the gasifier for high yield charcoal production. Results Eng 15: 6. https://doi.org/10.1016/j.rineng.2022.100495 doi: 10.1016/j.rineng.2022.100495
![]() |
[26] |
Raza M, Abu-Jdayil B (2023) Synergic interactions, kinetic and thermodynamic analyses of date palm seeds and cashew shell waste co-pyrolysis using Coats–Redfern meth-od. Case Stud Therm Eng 47: 14. https://doi.org/10.1016/j.csite.2023.103118 doi: 10.1016/j.csite.2023.103118
![]() |
[27] |
Nunes LJR, Matias JCO, Loureiro LMEF, et al. (2021) Evaluation of the potential of agricultural waste recovery: energy densification as a factor for residual biomass logistics optimization. Appl Sci 11: 23. https://dx.doi.org/10.3390/app11010020 doi: 10.3390/app11010020
![]() |
[28] |
Muthu Dineshkumar R, Meera Sheriffa Begum KMKM, Ramanathan A (2020) Comprehensive characterization of cashew nutshell for biomass gasification. Mater Today Proc 46: 9814–9819. https://doi.org/10.1016/j.matpr.2020.10.932 doi: 10.1016/j.matpr.2020.10.932
![]() |
[29] |
Rodriguez-Jimenez S, Duarte-Aranda S, Canche-Escamilla G (2019) Chemical composition and thermal properties of tropical wood from the Yucatán dry forests. Bioresources 14: 2651–2666. https://doi.org/10.15376/biores.14.2.2651-2666 doi: 10.15376/biores.14.2.2651-2666
![]() |
[30] |
Preradovic M, Papuga S, Kolundžija A (2023) Torrefaction: Process review. Period Polytech Chem Eng 67: 49–61. https://doi.org/10.3311/PPch.20636 doi: 10.3311/PPch.20636
![]() |
[31] |
Chen WH, Peng J, Bi XT (2015) A state-of-the-art review of biomass torrefaction, densification and applications. Renew Sust Energ Rev 44: 847–866. https://doi.org/10.1016/j.rser.2014.12.039 doi: 10.1016/j.rser.2014.12.039
![]() |
[32] |
Mamvura TA, Danha G (2020) Biomass torrefaction as an emerging technology to aid in energy production. Heliyon 6: 17. https://doi.org/10.1016/j.heliyon.2020.e03531 doi: 10.1016/j.heliyon.2020.e03531
![]() |
[33] |
Ducom G, Gautier M, Pietraccini M, et al. (2020) Comparative analyses of three olive mill solid residues from different countries and processes for energy recovery by gasification. Renew Energ 145: 180–189. https://doi.org/10.1016/j.renene.2019.05.116 doi: 10.1016/j.renene.2019.05.116
![]() |
[34] |
Castilla-Caballero D, Barraza-Burgos J, Gunasekaran S, et al. (2020) Experimental data on the production and characterization of biochars derived from coconut-shell wastes obtained from the Colombian Pacific Coast at low temperature pyrolysis. Data in Brief 28: 11. https://doi.org/10.1016/j.dib.2019.104855 doi: 10.1016/j.dib.2019.104855
![]() |
[35] |
Diedhiou A, Ndiaye LG, Bensakhria A, et al. (2019) Thermochemical conversion of cashew nut shells, palm nut shells and peanut shells char with CO2 and/or steam to aliment a clay brick firing unit. Renew Energ 142: 581–590. https://doi.org/10.1016/j.renene.2019.04.129 doi: 10.1016/j.renene.2019.04.129
![]() |
[36] |
Lu F, Rodriguez-Garcia J, Van Damme I, et al. (2018) Valorisation strategies for cocoa pod husk and its fractions. Curr Opin Green Sustain Chem 14: 80–88. https://doi.org/10.1016/j.cogsc.2018.07.007 doi: 10.1016/j.cogsc.2018.07.007
![]() |
[37] |
Vásquez ZS, de Carvalho Neto DP, Pereira GVM, et al. (2019) Biotechnological approaches for cocoa waste management: A review. Waste Manage 90: 72–83. https://doi.org/10.1016/j.wasman.2019.04.030 doi: 10.1016/j.wasman.2019.04.030
![]() |
[38] |
Adjin-Tetteh M, Asiedu N, Dodoo-Arhin D, et al. (2018) Thermochemical conversion and characterization of cocoa pod husks a potential agricultural waste from Ghana. Ind Crops Prod 119: 304–312. https://doi.org/10.1016/j.indcrop.2018.02.060 doi: 10.1016/j.indcrop.2018.02.060
![]() |
[39] |
Zinla D, Gbaha P, Koffi PME, et al. (2021) Characterization of rice, coffee and cocoa crops residues as fuel of thermal power plant in Côte d'Ivoire. Fuel 283: 9. https://doi.org/10.1016/j.fuel.2020.119250 doi: 10.1016/j.fuel.2020.119250
![]() |
[40] |
Kaliyan N, Morey RV (2009) Factors affecting strength and durability of densified biomass products. Biomass Bioenergy 33: 337–359. https://doi.org/10.1016/j.biombioe.2008.08.005 doi: 10.1016/j.biombioe.2008.08.005
![]() |
[41] |
Kosakowski W, Bryszewska MA, Dziugan P (2022) Biochars from post-production biomass and waste from wood management: Analysis of carbonization products. Materials 13: 13. https://doi.org/10.3390/ma13214971 doi: 10.3390/ma13214971
![]() |
[42] |
Srisang S, Phetpan K, Ruttanadech N, et al. (2022) Charcoal briquette production from waste in the coffee production process using hydrothermal and torrefaction techniques: A comparative study with carbonization technique. J Cleaner Prod 372: 133744. https://doi.org/10.1016/j.jclepro.2022.133744 doi: 10.1016/j.jclepro.2022.133744
![]() |
[43] |
Lubwama M, Yiga VA (2018) Characteristics of briquettes developed from rice and coffee husks for domestic cooking applications in Uganda. Renew Energ 118: 43–55. https://doi.org/10.1016/j.renene.2017.11.003 doi: 10.1016/j.renene.2017.11.003
![]() |
[44] |
Hawash SI, Farah JY, El-Diwani G (2017) Pyrolysis of agriculture wastes for bio-oil and char production. J Anal Appl Pyrolysis 124: 369–372. https://doi.org/10.1016/j.jaap.2016.12.021 doi: 10.1016/j.jaap.2016.12.021
![]() |
[45] |
Sharma P, Gaur KV, Sirohi R (2020) Valorization of cashew nut processing residues for industrial applications. Ind Crops Prod 152: 11. https://doi.org/10.1016/j.indcrop.2020.112550 doi: 10.1016/j.indcrop.2020.112550
![]() |
[46] |
Adekanbi ML, Olugasa TT (2022) Utilizing cashew nut shell liquid for the sustainable production of biodiesel: A comprehensive review. Clean Chem Eng 4: 17. https://doi.org/10.1016/j.clce.2022.100085 doi: 10.1016/j.clce.2022.100085
![]() |
[47] |
Scaldaferri CA, Pasa VMD (2019) Green diesel production from upgrading of cashew nut shell liquid. Renew Sustain Energy Rev 111: 303–313. https://doi.org/10.1016/j.rser.2019.04.057 doi: 10.1016/j.rser.2019.04.057
![]() |
[48] |
Devarajan Y, Munuswamy DB, Nagappan BK (2017) Emissions analysis on diesel engine fuelled with cashew nut shell biodiesel and pentanol blends. Environ Sci Pollut Res 24: 13136–13141. https://doi.org/10.1007/s11356-017-8915-7 doi: 10.1007/s11356-017-8915-7
![]() |
[49] |
Bamgbola AA, Adeyemi OO, Olubomehin OO, et al. (2020) Isolation and characterization of cellulose from cashew (Anacardium occidentale L.) nut shells. Curr Opin Green Sustain Chem 3: 8. https://doi.org/10.1016/j.crgsc.2020.100032 doi: 10.1016/j.crgsc.2020.100032
![]() |
[50] |
Selvamuthukumar M, Harish babu B, Sujith bobba, et al. (2021) Investigation on the lubricating behavior of cashew nut shell liquid oil as a renewable and reliable petrochemical product. Mater Today Proc 44: 3583–3588. https://doi.org/10.1016/j.matpr.2020.09.458 doi: 10.1016/j.matpr.2020.09.458
![]() |
[51] |
Ganesan S, Vedagiri P (2022) Production of sustainable biomass briquettes from de-oiled cashewnut Shell. Mater Today Proc 68: 2484–2492. https://doi.org/10.1016/j.matpr.2022.09.179 doi: 10.1016/j.matpr.2022.09.179
![]() |
[52] |
Cruz Reina LJ, López GD, Durán-Aranguren DD, et al. (2023) Compressed fluids and Soxhlet extraction for the valorization of compounds from Colombian cashew (Anacardium occidentale) nut shells aimed at a cosmetic application. J Supercrit Fluids 192: 105808. https://doi.org/10.1016/j.supflu.2022.105808. doi: 10.1016/j.supflu.2022.105808
![]() |
[53] |
Abdulyekeen KA, Umar AA, Patah MFA, et al. (2021) Torrefaction of biomass: Production of enhanced solid biofuel from municipal solid waste and other types of biomass. Renew Sust Energ Rev 150: 21. https://doi.org/10.1016/j.rser.2021.111436 doi: 10.1016/j.rser.2021.111436
![]() |
[54] |
Thengane SK, Kung KS, Gomez-Barea A, et al. (2022) Advances in biomass torrefaction: Parameters, models, reactors, applications, deployment, and market. Prog Energy Combust Sci 93: 101040. https://doi.org/10.1016/j.pecs.2022.101040 doi: 10.1016/j.pecs.2022.101040
![]() |
[55] |
Ahmadou A, Brun N, Alfredo N, et al. (2019) Effect of pyrolysis temperature on ochratoxin A adsorption mechanisms and kinetics by cashew nut shell biochars. J Food Sci Technol 4: 877–888. https://doi.org/10.25177/JFST.4.7.RA.565 doi: 10.25177/JFST.4.7.RA.565
![]() |
[56] |
Tumuluru JS, Yancey NA, Kane JJ (2021) Pilot-scale grinding and briquetting studies on variable moisture content municipal solid waste bales-Impact on physical properties, chemical composition, and calorific value. Waste Manage 125: 316–327. https://doi.org/10.1016/j.wasman.2021.02.013 doi: 10.1016/j.wasman.2021.02.013
![]() |
[57] |
Nobre C, Alves O, Longo A, et al. (2019) Torrefaction and carbonization of refuse derived fuel: Char characterization and evaluation of gaseous and liquid emissions. Bioresour Technol 285: 9. https://doi.org/10.1016/j.biortech.2019.121325 doi: 10.1016/j.biortech.2019.121325
![]() |
1. | Georgia Irina Oros, Gheorghe Oros, Shigeyoshi Owa, Subordination Properties of Certain Operators Concerning Fractional Integral and Libera Integral Operator, 2022, 7, 2504-3110, 42, 10.3390/fractalfract7010042 | |
2. | Bushra Kanwal, Saqib Hussain, Afis Saliu, Fuzzy differential subordination related to strongly Janowski functions, 2023, 31, 2769-0911, 10.1080/27690911.2023.2170371 | |
3. | Bushra Kanwal, Kashmala Sarfaraz, Munnaza Naz, Afis Saliu, Fuzzy differential subordination associated with generalized Mittag-Leffler type Poisson distribution, 2024, 31, 2576-5299, 206, 10.1080/25765299.2024.2319366 |