Techniques used for processed cheese characterization

Thomareis, Apostolos S.; Dimitreli, Georgia

doi:10.1016/b978-0-12-821445-9.00007-8

Cited by 11 publications

(5 citation statements)

References 99 publications

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“…A previous study on the pretreatment of Ethiopian Arabica coffee husk with alkali (NaOH) has enhanced the cellulose content from 53.2% to 56.58% along with hemicellulose and lignin removal [12]. Another study on the H2SO4 pretreatment of coffee husk has also resulted in enhanced cellulose content coupled with hemicellulose removal [27]. A similar trend was observed in the present study which had enhanced cellulose content with removal of hemicellulose.…”

Section: Effect Of Des Pretreatment On Coffee Husk Compositionssupporting

confidence: 87%

“…It is a dependable optimization technique by applying both mathematical and statistical tools, which can demonstrate the correlation between the independent variables and the response variables [25]. Interpreting the interactions of these variables in an optimization approach with the RSM method consumes less time than experimental trials [26,27]. Box-Behnken design [28] is one of the RSM to achieve an appropriate response variable.…”

Section: Optimization Of Des Pretreatment By Box Behnken Design (Bbd)mentioning

confidence: 99%

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Process Optimization of Deep Eutectic Solvent Pretreatment of Coffee Husk Biomass

Areeya,

Gundupalli,

Dharmalingam

et al. 2023

E3S Web Conf.

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The increased processing of coffee beans has generated huge amount of coffee husk, which are improperly disposed. Inappropriate disposal of coffee husk has led to release of toxic compounds to the environment causing serious environmental concerns. To mitigate the impact of improperly disposed coffee husk, it is suggested for valorisation of the coffee husk. Hence, this study has focussed on identifying the potential of coffee husk in maximizing the sugar yield from it which can be converted to value added product. Deep eutectic solvent (DES) involving choline chloride and lactic acid (ChCl:LA) mixed at 1:4 molar ratio was studied to investigate the effect of DES pretreatment on coffee husk to produce reducing sugar in the hydrolysis process. Pretreatment conditions of the biomass were optimized for biomass loading (5-20%, w/w), temperature (70-120 °C), and duration (60-240 min) using Response Surface Methodology (RSM) for obtaining maximum yield of reducing sugar. The RSM model predicted an optimal pretreatment condition of biomass loading with 20% (w/w), pretreated at 120 °C for 231.80 min to achieve maximum sugar yield (30.522%). The pretreatment effect on biomass composition was analyzed using the Van Soest method, which showed an increase in the cellulose content along with the hemicellulose removal when compared with the native biomass. Moreover, evaluation of chemical structural changes also confirmed the effectiveness of DES pretreatment. Thus, the current study would illustrate the potential of coffee husk to produce value-added compounds from it.

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Section: Effect Of Des Pretreatment On Coffee Husk Compositionssupporting

confidence: 87%

Section: Optimization Of Des Pretreatment By Box Behnken Design (Bbd)mentioning

confidence: 99%

Process Optimization of Deep Eutectic Solvent Pretreatment of Coffee Husk Biomass

Areeya,

Gundupalli,

Dharmalingam

et al. 2023

E3S Web Conf.

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“…The Response Surface Methodology (RSM) uses optimization techniques to modify factorial variables so that the response approaches a specified maximum or minimum value (Thomareis & Dimitreli, 2022). Among the designs used for RSM, Box–Behnken design is generally used to produce higher order response surfaces, which requires fewer experimental runs than a traditional factorial design (Beg & Akhter, 2021).…”

Section: Resultsmentioning

confidence: 99%

A nozzle simulation chip toward high‐throughput formation of curcumin‐loaded zein nanoparticles with tunable properties

Lei

Kilker

Lee

2023

Journal of Food Science

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Size of nanoparticle (NP) is a crucial factor in determining its applicability to various fields. This study aimed to develop a nozzle chip for the scalable formation of self‐assembled curcumin‐loaded zein NPs with tunable properties. A four‐factor (zein concentration in dispersed phase, ethanol concentration in continuous phase, flow rate ratio, and total flow rate), three‐level Box–Behnken design on the measured responses (particle size and polydispersity index [PDI]) was established. The particle size and PDI, ranging from 194.43 to 420.51 nm, and 0.089 to 0.219, respectively, were readily controlled by adjusting four factors. Under the optimal conditions of 6% zein, 0% EtOH, the flow rate ratio of 7, and a total flow rate of 8 mL/min targeting higher production rate, the particle size of 306.02 ± 1.52 nm (mean ± standard deviation) and the PDI of 0.135 ± 0.001 were obtained. High throughput for zein NP production (86.4 g/day) was reached, which was 200 and 960 times higher than using microfluidic and electrospraying techniques, respectively. Curcumin‐loaded zein NPs under the abovementioned experimental conditions were successfully prepared via the nozzle chip with the encapsulation efficiency of 64.29% ± 0.29%, a loading capacity of 3.06% ± 0.01%, enhanced stability, and improved in vitro antioxidant properties. Curcumin was primarily released from zein NPs in the simulated intestinal phase. This study demonstrated that the property of self‐assembled zein NPs can be tuned by altering the operating parameters using the nozzle simulation chip. The results suggest that this approach has potential for use in the food and pharmaceutical industries, particularly for curcumin encapsulation. Practical Application The fabricated nozzle chip is a promising technology to obtain zein nanoparticles (NPs) with enhanced productivity and narrow particle size distribution. It can be easily adopted to spray drying process. Besides, the nozzle chip shows the potential for the large‐scale production of bioactive loaded zein NPs in the food or pharmaceutical industries.

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“…Response surface methodology is a collection of statistical and mathematical techniques, which achieves its goal by improving the settings of the factors, bringing the response closer and closer to the predetermined maximum or minimum value 36 – 38 . Response surface methodology can be used in the process of designing, developing, and building new products, as well as in improving existing products designs 39 – 43 .…”

Section: Introductionmentioning

confidence: 99%

Research on mix design and mechanical performances of MK-GGBFS based geopolymer pastes using central composite design method

Yao,

Luo,

Qin

et al. 2024

Sci Rep

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In order to alleviate environmental problems and reduce CO2 emissions, geopolymers had drew attention as a kind of alkali-activated materials. Geopolymers are easier access to raw materials, green and environment friendly than traditional cement industry. Its special reaction mechanism and gel structure show excellent characteristics such as quick hardening, high strength, acid and alkali resistance. In this paper, geopolymer pastes were made with metakaolin (MK) and ground granulated blast furnace slag (GGBFS) as precursors. The effects of liquid–solid ratio (L/S) and modulus of sodium silicate (Ms) on the performances of MK-GGBFS based geopolymer paste (MSGP) were characterized by workability, strength and microstructural tests. The regression equations were obtained by central composite design method to optimize the mix design of MSGP. The goodness of fit of all the equations were more than 98%. Based on the results of experiments, the optimum mix design was found to have L/S of 0.75 and Ms of 1.55. The workability of MSGP was significantly improved while maintaining the strength under the optimum mix design. The initial setting time of MSGP decreased by 71.8%, while both of the fluidity and 28-d compressive strength increased by 15.3%, compared with ordinary Portland cement pastes. Therefore, geopolymers are promising alternative cementitious material, which can consume a large amount of MK and GGBFS and promote green and clean production.

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Techniques used for processed cheese characterization

Cited by 11 publications

References 99 publications

Process Optimization of Deep Eutectic Solvent Pretreatment of Coffee Husk Biomass

Process Optimization of Deep Eutectic Solvent Pretreatment of Coffee Husk Biomass

A nozzle simulation chip toward high‐throughput formation of curcumin‐loaded zein nanoparticles with tunable properties

Research on mix design and mechanical performances of MK-GGBFS based geopolymer pastes using central composite design method

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