Mixture Design Approach Research Articles

Development of sweet fermented rice (Khao-Mak) production using a pure culture of Amylomyces rouxii TISTR 3182 by the mixture design approach

Development of sweet fermented rice (Khao-Mak) production using a pure culture of Amylomyces rouxii TISTR 3182 by the mixture design approach

Synthesis and optimization of molecular weight of chitosan and carboxymethyl cellulose based polyurethanes

For the first time in this research, using a mixture design approach, polyurethanes (PUs) based on chitosan (CSN) and carboxymethyl cellulose (CMC) were synthesized to develop a high molecular weight polymer. In the synthesis process, a reaction between isophorone diisocyanate (IPDI) and hydroxyl-terminated polybutadiene was carried out to synthesize a prepolymer containing free NCO groups at the corners. This prepolymer was further reacted with changing moles ratio of CSN and CMC following the principles of statistical mixture design. The structural confirmation of the developed PUs was carried out through spectroscopic techniques (FTIR and NMR). The molecular weights of the PU specimens were characterized using gel permeation chromatography. The findings demonstrated that the interaction between CMC and CSN led to a notable increase in the molecular weights of the samples, supported by a significant p-value of 0.006. Additionally, the analysis of variance (ANOVA) disclosed that the employed mixture design and the resulting interaction model effectively account for 98 % of the total variation observed in the molecular weights. The sample labeled as PUS-3 (CMC0.50:CSN0.50) emerged as the most significant formulation, exhibiting a noteworthy 27.9 % improvement in the polymer molecular weight compared to the base sample, denoted as PUS-1 (CMC1.00:CSN0.00).

Insights into the pelletization behaviors of artificial lignocellulosic biomass based on cellulose, hemicellulose and lignin: A simplex lattice mixture design approach

The use of high quality densified pellet as an alternative to traditional fossil fuels is a promising avenue of research due to their interesting higher density, superior heating values, and enhanced combustion performance. However, little is known about the pelletization behaviors from the aspect of lignocellulosic biomass fundamental components (cellulose, hemicellulose and lignin) and their mixtures. This study presents an artificial biomass developed based on cellulose, hemicellulose and lignin using a simplex lattice design approach, aiming to understand the detailed role of major components and its effects on pellet quality. The correlation between the experimental data obtained from the simplex lattice design and the predicted response parameters were effectively explained by Scheffé's special cubic model, with a coefficient of determination beyond 90 %. Parameter estimates showed a significant synergetic effect of each components for density and Meyer hardness. Results revealed that xylan may be softened like lignin and thereby potentially act as binder. The use of a high cellulose concentration resulted in enhanced pellet strength by acting as a supporting skeleton. Xylan and cellulose played a major role in the thermal degradation of densified pellets. Based on the results obtained, the optimal components composition was determined to be 34.5 % lignin, 36.3 % cellulose, and 29.2 % xylan. Under this, the pellet exhibited the best density and Meyer hardness beyond 1500 kg/m3 and 80 N/mm2, respectively. The results provide a foundation for future efforts to be able to predict pellet properties from the perspective of biomass composition.

Preparation of composites with integrated thermal insulation and mechanical properties using mixture design and multi-objective optimization methods

In order to break through the difficulty of balancing the thermal insulation and mechanical properties of composites, a mathematical model of the effects of thermal insulation fillers and reinforcing fibers on the thermal insulation and mechanical properties of composites was proposed using a mixture design approach. The synergistic interaction between fillers was investigated. Multi-objective optimization method was used to optimize the formulation under specific conditions. The optimized composites were prepared with a low thermal conductivity of 0.108 W m−1 K−1, and the compressive and flexural strengths reached 111.098 MPa and 26.985 MPa, respectively. Meanwhile, the tests showed that the composites had excellent thermal insulation effect and thermal stability.

Development and characterisation of gluten‐free fresh pasta using teff, rice, and buckwheat flours enhanced with thermal waters: a mixture design approach

SummaryTo meet the demand for gluten‐free (GF) products, this study developed artisanal fresh pasta using teff, rice, and buckwheat flours, enhanced with mineral‐rich thermal waters (TW). A mixture design approach optimised flour proportions to balance texture, cooking time, water absorption, and cooking loss, along with functional properties such as total phenolic compounds (TPC) and antioxidant activity. Two promising formulations were identified: 36.3 g buckwheat, 9.35 g rice, and 9.35 g teff; and 27.5 g teff and 27.5 g buckwheat. These formulations, with and without TW, were evaluated for chemical, technological, microbiological, and functional attributes. The pasta had satisfactory technological properties, macronutrient levels comparable to standard pasta, and was rich in phenolic compounds with antioxidant activity. Ca, Zn, Fe, K, and Mn were predominant, although TW incorporation did not significantly affect their levels in the samples. All formulations showed microbiological stability for at least 3 days at 4 °C.

Optimization of Awaze paste formulations: The effects of using spices through a mixture design approach

Previous studies have revealed the microbial quality of Awaze paste. However, limited reports describe the effect of individual spices on Awaze paste quality. A mixture design approach was used to determine the appropriate proportions, with 15 experimental points for independent variables including RP (60–90 %), GA (10–30 %), RO (5–20 %), and GI (5–10 %). The techno-functional properties, particle size, antioxidant activity (DDPH radical assay), proximate composition, iron (Fe), zinc (Zn) content, viscosity, hardness, and microbiological quality of Awaze paste were assessed. The prepared Awaze paste showed a range of characteristics, with antioxidant activity (DDPH radical assay) ranging from 11.86 % to 62.5 %, crude protein content from 6.18 % to 16.22 %, crude fat from 5.7 % to 12.6 %, crude fiber from 16.86 % to 29.06 %, total ash content from 6.32 % to 9.94 %, total carbohydrate from 41.79 % to 60.61 %, energy from 264.3 to 329.2 k cal. , iron (Fe) content from 35.59 to 108.82 mg/100g, zinc (Zn) content from 1.72 to 26.93 mg/100g, viscosity from 65.5 to 125.5 cps, hardness from 8.48 to 55.09 g, yeast and mold count from 0.83 to 2.04 log cfu/g, and total bacterial count from 1.53 to 2.61 log cfu/g. Significant differences (p < 0.05) were observed in proximate composition, techno-functional properties, particle size, antioxidant activity, physicochemical properties, and microbiological characteristics among the formulations of Awaze paste. The selected formula showed a statistically significant difference (p < 0.05) compared to the control sample. The formulation containing 74.79 % RP, 10 % GA, 10.2 % RO, and 5.0 % GI was determined to be the optimal formula with a desirability of 0.73, based on the evaluated parameters. This preferred Awaze paste had a porosity of 28.12 %, particle size of 16.49 μm, antioxidant activity of 63.63 %, crude protein content of 17.28 %, iron (Fe) content of 98.06 mg/100g, and zinc (Zn) content of 15.04 mg/100g. Therefore, this optimal blend of ingredients could be used to produce a consumer accepted Awaze paste.

Optimization of physical and mechanical properties of PC/ABS/PMMA blends by mixture design approach

AbstractThis study aims to investigate the recycling of end‐of‐life computer plastics, focusing on polycarbonate (PC) and acrylonitrile–butadiene–styrene (ABS) copolymer, which constitute a significant portion of collected computers. Through differential scanning calorimetry and infrared spectroscopy analyses, the properties of raw PC, ABS and poly(methyl methacrylate) (PMMA) were evaluated. Various blends of PC and ABS were prepared, incorporating different percentages of recycled PMMA as a cost‐effective coupling agent. These blends were processed through melt compounding using a contra‐rotating twin‐screw extruder and subsequently shaped by injection molding. An experimental mixture design was applied to evaluate the mechanical and physical properties of the composite materials, including melt flow index, hardness, flexural strain at break and Charpy impact strength. The results of the desirability analysis indicated that the optimal blend for achieving a balance between mechanical and physical properties consists of a high PC content (approximately 80% or more), a low ABS content (less than 20%) and less than 5% recycled PMMA. © 2024 Society of Chemical Industry.

Thermal property characterization and modeling of SMAW electrode coating flux using ANN and regression analysis

The design and development of SMAW electrode coating fluxes, along with their thermal property characterization, are discussed. Using an extreme vertices design approach, 27 flux mixture combinations have been prepared. The TGA-DSC and hot disk analysis are done to quantify the thermal response of the fluxes. Results show that increase in CaF2 and SiO2 reduces weight loss. Increase in CaO increases weight loss, whereas increase in BaO shows minimal effect on weight loss. Enthalpy change of flux was found to influence mainly with CaF2 and CaO. Thermally stable flux has lower volatile compounds such as crystallization water and moisture, which helps to minimize gaseous entrapment in weld pool. An increase in CaF2 shows slight decreases and then increase in thermal diffusivity. The increase in thermal diffusivity leads to instant heat flow in the coating. Regression analysis is done, and the effect of individual and interaction of flux constituents on thermal properties is discussed. The artificial neural network is employed for predictive modeling in the domain of the mixture design approach, its prediction accuracy is compared with regression analysis. Water vapor solubility of slag was estimated between 3.169 and 3.947 and sulfide capacity of slag was − 2.479 to −1.892.

A mixture design approach to develop new starter formulation for Lben: Key aroma compounds, physical, chemical and sensory properties of the product

The study investigated the evolution of the physicochemical and sensory properties of Lben fermented milk inoculated with different starter formulations. The aim was to determine the optimal starter culture formula for Lben production using different combinations of four strains, including three strains of Lactococcus lactis subsp. lactis with strain codes A, E and F and one strain of Leuconostoc mesenteroides subsp. mesenteroides with strain code C. While individual strains had previously demonstrated significant technological and organoleptic properties their interaction in mixtures had not been explored. In the study, a response surface methodology (mixture design approach) was applied to evaluate the effects of the interactions between strains on the physicochemical, antioxidant, volatile, and sensory properties of Lben, a fermented milk. In addition, product optimization using ridge analysis was performed to determine the ideal strain mixture formulation based on the sensory properties of Lben. The optimization goal for odor, taste, consistency, and overall preference was set to maximize their values. A high desirability score of 0.832 was achieved with the following percentage distribution: 34.39% for L. lactis E, 42.38% for L. lactis A, 10% for L. lactis F, and 13.23% for Leuc. mesenteroides C.

Enhancing the nitric oxide inhibitory activity using a combination of plant essential oils and mixture design approach

The synergistic effects of essential oils (EOs) from three aromatic plant species, Foeniculum vulgare subsp. piperitum (C.Presl) Bég. (FV), Origanum heracleoticum L. (OH) and Lavandula austroapennina N.G.Passal., Tundis & Upson. (LA), were evaluated for their inhibitory properties on nitric oxide production in RAW 264.7 macrophages stimulated with lipopolysaccharide (LPS). We utilized a Design of Experiments (DoE) methodology to optimize a formulation by combining three Essential Oils (EOs), while simultaneously taking into account two response variables, maximization of NO inhibition with minimum cytotoxicity. The optimal blend of components was predicted, and the statistical outcome's efficacy was experimentally verified. The combination corresponding to 87.7 % FV, 12.3 % LA and 0.0 % OH showed high inhibitory effect (76.3 %) with negligible cytotoxicity (4.5 %). This research provides new information on the interactions among fennel, oregano and lavender essential oils and shows how they can synergistically inhibit in vitro LPS-induced NO production.

Exploring the synergistic effect of carboxymethyl cellulose and chitosan in enhancing thermal stability of polyurethanes through statistical mixture design approach

The thermal stability of polyurethanes, known for its limitations, was addressed in this research by seeking improvement through the introduction of carbohydrate-based chain extenders. In this research paper, we systematically sought to improve the thermal resistance of polyurethanes by incorporating carboxymethyl cellulose and chitosan, representing a pioneering application of the mixture design approach in their preparation. In this synthesis, hydroxyl-terminated polybutadiene and isophorone diisocyanate (IPDI) were reacted to prepare –NCO terminated prepolymer, which was subsequently reacted with varying mole ratios of CMC and CSN to develop a series of five PU samples. The prepared PU samples were characterized using the Fourier-transformed infrared spectroscopic technique. Thermal pyrolysis of PU samples was examined using thermal gravimetric analysis (TGA). It was observed that, among all the samples, PUS-3 showed remarkable thermal stability over a wide temperature range. A comprehensive statistical analysis was conducted to substantiate the experimental findings. It was estimated that CMC and CSN significantly enhance the thermal stability of the samples when involved in an interaction fashion. The ANOVA Table for the mixture design demonstrates that over 90 % of the total variation in thermal stability is explained by the mixture model across a wide temperature range. Moreover, PSU-3 exhibited 4 % more thermal stability over a wide range of temperatures on average, as compared to contemporary samples.

Nanostructured lipid carrier loaded with Zingiber officinale oil to enhance transdermal bioactive delivery for topical formulation

This study reported on the enhancement of Zingiber officinale (Z. officinale) oil delivery, a bioactive with poor water solubility, by incorporating it into nanostructured lipid carriers (NLC) for transdermal bioactive delivery in topical formulations using the ultrasonication technique with a D–optimal mixture design approach. The independent factors in the process included the percentage of Z. officinale oil, solid lipid (glyceryl monostearate (GMS)), and liquid lipid (virgin coconut oil (VCO)). The study characterized the NLC– Z. officinale oil formulation based on particle size (PS), polydispersity index (PDI), zeta potential (ZP), and encapsulation efficiency (EE) as the dependent variables. Besides, Transmission Electron Microscopy (TEM), Fourier Transform Infrared Spectroscopy with Attenuated Total Reflection (FTIR–ATR), and Differential Scanning Calorimetry (DSC) were also employed. The optimized NLC–Z. officinale oil formulation, comprising 0.36 % Z. officinale oil, 0.14 % solid lipid (GMS), and 0.50 % liquid lipid (VCO). The study's results demonstrated that the finely tuned NLC– Z. officinale oil formulation, with an average diameter of 90.71 ± 9.48 nm, a PDI of 0.147 ± 0.01, a ZP of –45.7 ± 0.67 mV, and an EE of 88.80 ± 11.18 %, exhibited a controlled and sustained release profile following the Korsmeyer–Peppas model. The in vitro penetration studies on excised Sprague–Dawley rat skin and Strat–M® showcased the heightened penetration flux of NLC–Z. officinale oil compared to Z. officinale oil. Furthermore, in vivo distribution studies in female Sprague–Dawley rats underscored the deep penetration of NLCs into the dermal layer after 12 h of application. Notably, a 3–hour treatment with NLC–Z. officinale oil triggered the release of free fatty acids (FFA). The 90 days storage stability study revealed no significant changes in NLC– Z. officinale oil concerning PS and PDI, affirming its stability over time. These findings illuminated the potential applications of NLC– Z. officinale oil as a robust transdermal bioactive delivery system for Z. officinale oil. This underscored its significance in pharmaceutical formulations, providing a novel avenue for therapeutic purposes.

Mixture Design-driven Statistical Optimization and Method Validation in HPTLC: Targeting Rutin, Quercetin, and Gallic Acid

Rutin (RT), Quercetin (QT), and Gallic Acid (GA) are recognized for their potent antioxidant and anticancer properties, prevalent across numerous plant species. The precise quantification of RT, QT, and GA is pivotal for evaluating the therapeutic potential of plant-based substances. In response, a new, straightforward, cost-effective, and reliable method using High-Performance Thin-Layer Chromatography (HPTLC) has been developed and validated for the quantification of these compounds. The mobile phase optimization employed a mixture design approach, achieving chromatographic separation with a mobile phase mixture of toluene, ethyl acetate, menthol, and formic acid at specific ratios (3.56:3.70:0.94:1.80 v/v/v/v/v/v/v/v). Silica gel 60 F254 HPTLC plates were utilized for the analysis. The retention factors (Rf) observed for RT, GA, and QT were 0.21, 0.58, and 0.74, respectively. This method demonstrated a robust linear relationship for concentrations ranging from 400 to 2000 ng per band, with correlation coefficients (R2) of 0.9921 for RT, 0.9936 for QT, and 0.9912 for GA. The Limits of Detection (LOD) and quantification (LOQ) were established at 100.84, 102.38, and 84.54 ng per band for LOD, and 305.58, 310.25, and 256.18 ng per band for LOQ, respectively, for RT, QT, and GA. This validated HPTLC method developed through a Design of Experiment (DoE) approach was successfully employed for the quantification of GA, QT, and RT from the fruits of Adansonia digitata and leaves of Grewia asiatica ethanolic extracts.

Quality attributes of pasta produced from cassava starch, egg powder and spiced with ginger flour

Protein malnutrition stands out as the most serious nutrition deficiency problem in infants and young children in developing countries. This study investigated the quality attributes of pasta produced from a blend of cassava starch, egg powder, and ginger flour. D-optimal mixture design approach was used for the formulation of the flour blends, resulting into fourteen experimental runs. Pasta was manufactured from this blend via cold extrusion process and was analyzed for proximate composition, colour, antioxidant, cooking and sensory properties using standard methods. The crude protein and total carbohydrate contents of the pasta ranged from 4.15-8.40% and 81.29-86.28%, respectively. Significant differences (p&lt;0.05) were observed, from a statistical viewpoint, in the colour and antioxidant properties. The cooking properties ranged from 8.45-20.07min, 2.88-20.00%, 1.06-8.47% and 86.50-468.74% for cooking time, cooking loss, expansion ratio and water absorption capacity, respectively. However, pasta produced from cassava starch, egg powder and ginger flour were all preferred by the panelists in terms of aroma, colour, texture and appearance, but pasta from the control sample had the highest overall acceptability. The study showed that pasta from cassava starch, egg powder and ginger flour could be useful to combat malnutrition and nutritional deficiencies in developing countries.

Rice bran oil-in-water optimized emulsions for the development of plant-based foods and beverages

Aim: This work aimed to develop rice bran oil-in-water (O/W) emulsions, stabilized with different mixtures of pea protein concentrate (PPC), Arabic gum (AG), and maltodextrin (MD), as the basis for the formulation of plant-based food products. Methods: The effects of the aqueous phase formulation on the properties of the resulting O/W emulsions were evaluated by a mixture design approach. Volume-weighted mean diameter (D[4,3]) of the emulsion particles and polydispersity expressed as the difference of D[4,3] – D[3,2], apparent viscosity at a shear rate of 200 s–1 and backscattering at different times associated to the global stability of the emulsions were studied as response variables. A multi-response optimization was carried out and mathematical models were validated. Results: The ternary mixtures of the aqueous phase showed significant antagonism between the three components in all the response variables. The optimal formulation of the aqueous phase for the O/W emulsions obtained after three homogenization cycles was 78% PPC and 22% MD. The properties of the O/W optimal emulsion were according to the ones predicted by the model. Conclusions: The best-formulated emulsion is promising for developing plant-based foods and beverages.

Anaerobic co-digestion of human excreta, food leftovers and kitchen residue: 1 ternary mixture design, synergistic effects and RSM approach

Anaerobic digestion of multiple substrates can generate more biogas while remaining stable, if positive synergistic effects are achieved. The type of co-digested substrates and the mixing ratio used, are the most important variables as each substrate has unique set of characteristics. Optimizing the volume ratios by testing various substrate mixing ratios is a popular method for determining the best-performing ratio of substrate mixture. The ternary mixture design has reportedly been found to quicken the process of testing different mixing ratios with high accuracy without running several experiments. Therefore, a ternary mixture design and a response surface approach are used in this work to ascertain the relationship between substrate mix and responses (biogas yield, methane yield, and synergy). The findings of the experiment revealed that R9 comprising 78.8 % human excreta, 11.8 % food leftovers and 9.4 % kitchen residue, had the highest methane production of 764.79 mLCH4/gVS and a synergistic index of 3.26. Additionally, the 3D response surface plots from the response surface model showed important and shared interactions between Human Excreta, (HE), Food Leftovers (FLO), and Kitchen Residue (KR). HE and KR had a similar positive synergistic effect on biogas yield, methane yield, and synergy, which was not the case for FLO. The response surface plots showed that the predicted responses (methane yield, biogas yield and synergy) increased with increasing HE and KR fractions and decreased with increasing FLO fractions in the substrate mixtures.

Castor-oil biobased foam: the effect of the composition on the physical and mechanical properties via a statistical mixture design.

PU foams are versatile materials that find applications in a wide range of products, from upholstery to packaging and construction. These foams consist primarily of two components, polyol and prepolymer, and their concentrations play a crucial role in determining their physical and mechanical properties. A second-order mixture design approach is used in this work to identify the significant components and their contributions on the physical-mechanical properties of biodegradable castor oil-based foams. The experimental design includes three components: two types of polyols and one prepolymer. These components are varied in nine distinct conditions to evaluate their effects on properties such as expansion rate, bulk density, compressive strength, and tensile strength. The Scheffé's quadratic model coefficients exhibit R-squared values higher than 0.84 in most cases. Chemical analysis using infrared spectroscopy confirms the successful formation of the urethane bond during the manufacturing process. The biobased foams developed in this work have densities ranging between 61 and 100 kg m-3, compressive modulus of 11-15 MPa and compressive strength between 273 and 429 kPa. The tensile modulus varies between 3.2 and 4.9 MPa, with a tensile strength in the range of 370-500 kPa. These results highlight the potential of biodegradable castor oil-based foams as promising alternative materials to traditional synthetic foams.

Development of eco-friendly self-compacting concrete using marble powder, blast furnace slag and glass fibre-reinforced plastic waste: Application of mixture design approach

The present paper investigates the valorisation of three local Algerian waste materials, namely Marble Powder (MP), Ground Granulated Blast Furnace Slag (GGBS), and Glass Fibre-Reinforced Plastic Waste (GFRPW), as mineral additions in Self-Compacting Concrete (SCC). A mixture design modeling approach was used to evaluate the impact of these waste materials and their interactions on the fresh and hardened properties of SCC. Experimental tests were performed, including slump flow, V-funnel, L-box, air content, and compressive strength tests. Regression models were developed to understand the behaviour of SCC based on the proportions of MP, GGBS, and GFRPW in both binary and ternary systems. The statistical analysis software Minitab was employed for the modeling. The results revealed that the combination of MP, GGBS and GFRPW in ternary systems has a synergistic effect on slump flow and L-box ratio. The highest slump flow value and L-box ratio were achieved at proportions of approximately 38% MP, 37% GGBS, and 25% GFRPW. The V-funnel time was affected by the proportions of the waste materials, decreasing with higher MP and GFRPW proportions and increasing with a higher GGBS proportion. In GFRPW-based systems, a higher GFRPW proportion increased the air content, but combining GFRPW with GGBS significantly reduced it. Furthermore, the interaction between GGBS and GFRPW enhanced the development of the 28-day compressive strength, where the highest value of 54 MPa was reached at the combination of 32% GFRPW and 68% GGBS. After 90 days of curing, the SCC mixtures containing 100% GGBS exhibited the highest compressive strength value of 66 MPa. This study provides valuable insights for optimising the use of MP, GGBS, and GFRPW in SCC, potentially leading to more sustainable and cost-effective concrete production.

Rheological properties and mechanical strength of self-compacting mortars produced with marble powder and calcined clay

The use of calcined clays [CC], combined in ternary blended with the limestone filler and cement has received considerable attention in recent years. This paper discusses the results on the rheological and compressive strength of three types of calcined clays in combination with marble powder and cement, used as ternary binder in self-compacting mortars. A simplex-lattice mixture design approach was used, with five levels, to establish the different binder combinations. The responses of the system were evaluated in terms of rheological properties and compressive strength. The tests conducted on SCM ternary mixes are slump flow diameter, v-funnel flow time, yield value, viscosity and compressive strength at 28, 90 and 365 days. It was concluded that the replacement of cement with calcined clays and marble powder in ternary mixes reduced the flowability by decreasing slump flow and increasing v-funnel time. However, the combined effect of marble powder and calcined clays is more appropriate to produce flowable SCM mixes while maintaining an adequate viscosity. In terms of compressive strength. A progressively increasing trend was observed for 28 days compressive strength with the increase in marble powder and calcined clays in binary proportions.

Limestone calcined clay cement (LC3): A sustainable solution for mitigating environmental impact in the construction sector

The impact of global warming on the construction sector is a serious issue in today's world; this might be attributed to the emission of greenhouse gas (GHG) during the production process of Portland cement. Due to its advantages, cement plays a major role in the construction of civil infrastructures. Cement production is not only responsible for global warming and also creates a risk of raw material deficiency. To reduce the over exploitation of virgin materials, Limestone Calcined Clay Cement (LC3), with a proportion of Clinker 50 %, Limestone 30 %, Calcined Clay 15 % and gypsum 5 %, is found to be a suitable and sustainable alternative to preserve the ecosystem. As a result, attempts were undertaken in this work to create a mixture design approach for LC3 with the primary objective of developing higher compressive strength (CS) in a cost-effective manner. The relationship between the water to binder ratios and 28-d CS has been examined to suggest a conceptual mixture design strategy for LC3 rationally. The 28-day CS of 46.2 MPa has been observed. The suggested design technique has been presented step by step and validated using an example based on the guidelines illustrated by IS 10,262. The design technique aims to produce a concrete mix that meets specific strength, workability, and durability requirements while considering the environmental conditions and properties of materials available. The study emphasizes a systematic approach to concrete mix design, considering various factors like water-cement ratio, aggregate proportions, and workability requirements to ensure the resulting concrete meets the desired performance standards. Compliance with IS 10,262:2019 ensures that concrete used in construction is designed systematically and according to established guidelines, leading to higher quality and more predictable performance in structural applications. Further, to access the sustainability of the developed LC3 mix Life-Cycle Assessment (LCA) of LC3 was reported starting from raw material procurement to the production of concrete as the final product. In this LCA analysis, the monetary cost involved in the production of concrete, energy demand and GHG emission of the LC3 was compared with the conventional concrete. The result from the analysis revealed that LC3 possess superior performance in terms of energy requirement and GHG emission than the OPC concrete.