The work aimed to study the potential in producing a system with high microalgal protein recovery and separation by utilizing a one-step or integrated downstream process. This in turn enables green biorefinery of protein, contributing to circular bioeconomy whereby less energy, labor, and cost are required for the process. By utilizing electric three phase partitioning flotation system, high protein recovery yield, R of 99.42 ± 0.52% and high separation efficiency, E of 52.72 ± 0.40% system was developed. Scaling up also showed high protein recovery yield with R value of 89.13 ± 1.56%. Total processing duration (extraction, separation, and purification) was also significantly reduced to 10 min. This system showed remarkable potential in reducing processing time, alternatively cost of production, benefiting microalgal downstream processing. Concisely, through this system, microalgal bioprocessing will no longer be complex allowing a wide array of potentials for further studies in this field.
Pretreatment of microalgal biomass possessing rigid cell wall is a critical step for enhancing the efficiency of microalgal biorefinery. However, the conventional pretreatment processes suffer the drawbacks of complex processing steps, long processing time, low conversion efficiency and high processing costs. This significantly hinders the industrial applicability of microalgal biorefinery. The innovative electricity-aid pretreatment techniques serve as a promising processing tool to extensively enhance the release of intracellular substances from microalgae. In this review, application of electric field-based techniques and recent advances of using electrical pretreatments on microalgae cell focusing on pulsed electric field, electrolysis, high voltage electrical discharges and moderate electric field are reviewed. In addition, the emerging techniques integrating electrolysis with liquid biphasic flotation process as promising downstream approach is discussed. This review delivers broad knowledge of the present significance of the application of these methods focusing on the development of electric assisted biomolecules extraction from microalgae.
Background In Malaysia, the Geriatric Oral Health Assessment Index (GOHAI) has been recognized as a vital instrument for evaluating oral health-related quality of life among the elderly population. Its integration into the National Health and Morbidity Survey (NHMS) in 2018 demonstrates the country's dedication to understanding and addressing the unique oral health challenges faced by older individuals. The NHMS, led by the Ministry of Health Malaysia, serves as a crucial platform for identifying and addressing healthcare needs, while also working towards achieving sustainable development goals. This study aimed to provide valuable information for stakeholders and researchers by investigating the relationship between quality of life related to oral health and demographic factors, with the ultimate goal of enhancing oral healthcare for older individuals. Objective The objective of this research was to identify the variables that impact the Oral Health-Related Quality of Life (OHRQoL) of non-institutionalized elderly individuals who visit the Klinik Pergigian Manipal University College Malaysia (MUCM). By utilizing the OHRQoL, dental practitioners can gain insight into the elderly's oral health-related quality of life, which is crucial information for dental healthcare providers to effectively reach out to and cater to the elderly at the institution. Methodology A cross-sectional design was employed, utilizing a non-probability sampling method to select eligible elderly individuals at the clinic. A validated questionnaire comprising 18 items covering sociodemographic details and the Geriatric Oral Health Assessment Index (GOHAI) was distributed to individuals above 60 years via printed forms. One way ANOVA, unpaired t-test and multiple linear regression analysis were performed to analyze the data. Results The overall mean GOHAI score among non-institutionalized elderly attending Klinik Pergigian MUCM was 48.38±9.33, indicating poor OHRQoL. The psychosocial impact domain had a mean score of 19.33±5.21, surpassing the pain and discomfort domain with a score of 10.73±2.82, highlighting the significant impact of psychosocial factors on poor oral health-related quality of life. Multiple linear regression analysis revealed no significant associations between OHRQoL and factors such as ethnicity, living arrangements apart from spouse and family, or tertiary education among older individuals after adjusting for confounding variables. Conclusions This study indicates that sociodemographic aspects have minimal impact on the OHRQoL of seniors. Further examination is needed to understand the economic aspects of tooth replacement options and preventive measures in this age group. To enhance the OHRQoL of older adults, especially those not living in facilities like nursing homes or assisted living centers, tailored oral healthcare plans and strategies are crucial. Interdisciplinary collaboration among mental health professionals, geriatric experts, and oral healthcare providers is crucial for empowering both healthcare practitioners and seniors to maintain optimal oral health.