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Intention to seek professional help for depression and its associated factors among elderly patients in Tenkera Health Clinic, Melaka, Malaysia

Chai YH, Tong SF, Khairuddin W

Med J Malaysia, 2021 Jan;76(1):61-67.
PMID: 33510111

BACKGROUND: Prevalence of mental disorders such as depression in the elderly is rising with the ageing population. This study is aimed to determine the prevalence of depression, their intention to seek help and the factors associated to seek professional help among elderly patients in a primary care clinic.
METHODS: This was a cross-sectional with systematic sampling conducted from June to December 2019 in Tengkera Health Clinic (THC). Patient Health Questionnaire- 9 (PHQ-9), socioeconomic data and a dichotomous yes-no response for intention to seek help was collected from 273 elderly patients attending the outpatient clinic.
RESULTS: The prevalence of elderly depression at THC was 10.3% and the prevalence of intention to seek professional help for depression among elderly patients at Tengkera Health Clinic was 27.5%. Factors that were associated with intention to seek professional help for depression were prior experience of seeking professional help, adjusted OR 3.45[95%CI (1.41-8.48)] and education level of the respondents- secondary education, adjusted OR 3.10 [95%CI (1.01-9.53)] comparing with no formal education; tertiary education, adjusted OR 4.66 [95%CI (1.08-20.04)] comparing with no formal education.
CONCLUSION: The prevalence of elderly depression was high while the prevalence of intention to seek professional help for depression in the sample population was low. Primary care physicians play a vital role in identifying elderly patients with low education level for screening and treatment as well as promoting awareness and breaking down barriers and stigma towards mental illness.
Fulltext Biomass Energy in Malaysia: Current Scenario, Policies, and Implementation Challenges

Rashidi NA, Chai YH, Yusup S

Bioenergy Res, 2022 Jan 21.
PMID: 35079317 DOI: 10.1007/s12155-022-10392-7

The energy demand in Malaysia has shown a dramatic increase over the last few years: with natural gas and coal being the primary contributors. Nevertheless, due to declining in fossil fuel reserves coupled with negative environmental impacts, shifting to sustainable renewable energy for meeting the future energy demand is recommended. Since Malaysia is rich with natural resources, utilization of biomass energy (bioenergy/biofuel) as the alternative energy is promising to be further explored. Therefore, this review paper intents to discuss the current scenario of different types of biomass energy in Malaysia along with the up-to-date local biomass energy-related environmental policy (from 2016 onwards). In addition, challenges and barriers for large-scale implementation of the biomass energy in Malaysia are to be discussed. Overall, this review paper is interesting as it can assist in promoting the biomass utilization as energy source, and to ensure the future growth of biomass energy market in the country along with its effective implementation while alleviating poor disposal problem and to create job employment opportunities. Furthermore, a collective effort to expand potential biomass feedstocks, apart from oil palm, should be emphasized to encourage the renewable energy production diversification in the nation.
Taguchi approach for assessing supercritical CO2 (sCO2) fluid extraction of polyhydroxyalkanoate (PHA) from Chlorella Vulgaris sp. microalgae

Abdul Rahman SNS, Chai YH, Lam MK

J Environ Manage, 2024 Mar;355:120447.
PMID: 38460326 DOI: 10.1016/j.jenvman.2024.120447

This research explicitly investigates the utilization of Chlorella Vulgaris sp. microalgae as a renewable source for lipid production, focusing on its application in bioplastic manufacturing. This study employed the supercritical fluid extraction technique employing supercritical CO2 (sCO2) as a green technology to selectively extract and produce PHA's precursor utilizing CO2 solvent as a cleaner solvent compared to conventional extraction method. The study assessed the effects of three extraction parameters, namely temperature (40-60 °C), pressure (15-35 MPa), and solvent flow rate (4-8 ml/min). The pressure, flowrate, and temperature were found to be the most significant parameters affecting the sCO2 extraction. Through Taguchi optimization, the optimal parameters were determined as 60 °C, 35 MPa, and 4 ml/min with the highest lipid yield of 46.74 wt%; above-average findings were reported. Furthermore, the pretreatment process involved significant effects such as crumpled and exhaustive structure, facilitating the efficient extraction of total lipids from the microalgae matrix. This study investigated the microstructure of microalgae biomatrix before and after extraction using scanning electron microscopy (SEM) and thermogravimetric analysis (TGA). Fourier-transform infrared spectroscopy (FTIR) was utilized to assess the potential of the extracted material as a precursor for biodegradable plastic production, with a focus on reduced heavy metal content through inductively coupled plasma-optical emission spectrometry (ICP-OES) analysis. The lipid extracted from Chlorella Vulgaris sp. microalgae was analysed using gas chromatography-mass spectrometry (GC-MS), identifying key constituents, including oleic acid (C18H34O2), n-Hexadecanoic acid (C16H32O2), and octadecanoic acid (C18H36O2), essential for polyhydroxyalkanoate (PHA) formation.
Particle swarm optimization and global sensitivity analysis for catalytic co-pyrolysis of Chlorella vulgaris and plastic waste mixtures

Majid M, Chin BLF, Jawad ZA, Chai YH, Lam MK, Yusup S, et al.

Bioresour Technol, 2021 Jun;329:124874.
PMID: 33647605 DOI: 10.1016/j.biortech.2021.124874

This study investigated on the co-pyrolysis of microalgae Chlorella vulgaris and high-density polyethylene (HDPE) waste mixtures which was performed with three types of catalysts, namely limestone (LS), HZSM-5 zeolite, and novel bi-functional LS/HZSM-5/LS. Kissinger-Kai (K-K) model-free method was coupled with Particle Swarm Optimization (PSO) model-fitting method using the thermogravimetric experimental data. A global sensitivity analysis was carried out using Latin Hypercube Sampling and rank transformation to assess the extent of impact of the input kinetic parameters on the output results. Furthermore, a thermodynamic analysis was performed to obtain parameters such as enthalpy change (ΔH), Gibb's free energy (ΔG), and entropy change (ΔS). The activation energy (EA) of the microalgae Chlorella vulgaris and HDPE binary mixture were found to be lower upon the addition of catalysts. Among the catalyst used, bi-functional LS/HZSM-5 catalyst exhibited the lowest EA (83.59 kJ/mol) and ΔH (78 kJ/mol) as compared to LS and HZSM-5 catalysts.
Recent advances in downstream processing of microalgae lipid recovery for biofuel production

Khoo KS, Chew KW, Yew GY, Leong WH, Chai YH, Show PL, et al.

Bioresour Technol, 2020 May;304:122996.
PMID: 32115347 DOI: 10.1016/j.biortech.2020.122996

The world energy system faces two major challenges: the requirement for more energy and less carbon. It is important to address biofuels production as an alternative to the usage of fossil fuel by utilizing microalgae as the potential feedstock. Yet, the commercialization of microalgae remains contentious caused by factors relating to the life cycle assessment and feasibility of microalgae-based biofuels. This present review starts with an introduction to the benefits of microalgae, followed by intensive elaboration on microalgae cultivation parameters. Subsequently, the fundamental principle along with the advantages and disadvantages of various pretreatment techniques of microalgae were reviewed. In addition, the conventional and recent advances in lipid extraction techniques from microalgae were comprehensively evaluated. Comparative analysis regard to the gaps from previous studies was discussed point-by-point in each section. The effort presented in this review will provide an insight for future researches dealing with microalgae-biofuel production on downstream processing.
Fulltext The Potential Benefits of Nanotechnology in Treating Alzheimer's Disease

Ling TS, Chandrasegaran S, Xuan LZ, Suan TL, Elaine E, Nathan DV, et al.

Biomed Res Int, 2021;2021:5550938.
PMID: 34285915 DOI: 10.1155/2021/5550938

Alzheimer's disease is a neurodegenerative disorder that is caused by the accumulation of beta-amyloid plaques in the brain. Currently, there is no definitive cure available to treat Alzheimer's disease. The available medication in the market has the ability to only slow down its progression. However, nanotechnology has shown its superiority that can be applied for medical usage and it has a great potential in the therapy of Alzheimer's disease, specifically in the disease diagnosis and providing an alternative approach to treat Alzheimer's disease. This is done by increasing the efficiency of drug delivery by penetrating and overcoming the blood-brain barrier. Having said that, there are limitations that need to be further investigated and researched in order to minimize the adverse effects and potential toxicity and to improve drug bioavailability. The recent advances in the treatment of Alzheimer's disease using nanotechnology include the regeneration of stem cells, nanomedicine, and neuroprotection. In this review, we will discuss the advancement of nanotechnology which helps in the diagnosis and treatment of neurodegenerative disorders such as Alzheimer's disease as well as its challenges.
Advancements of microalgal upstream technologies: Bioengineering and application aspects in the paradigm of circular bioeconomy

Leong WH, Rawindran H, Ameen F, Alam MM, Chai YH, Ho YC, et al.

Chemosphere, 2023 Oct;339:139699.
PMID: 37532206 DOI: 10.1016/j.chemosphere.2023.139699

Sustainable energy transition has brought the attention towards microalgae utilization as potential feedstock due to its tremendous capabilities over its predecessors for generating more energy with reduced carbon footprint. However, the commercialization of microalgae feedstock remains debatable due to the various factors and considerations taken into scaling-up the conventional microalgal upstream processes. This review provides a state-of-the-art assessment over the recent developments of available and existing microalgal upstream cultivation systems catered for maximum biomass production. The key growth parameters and main cultivation modes necessary for optimized microalgal growth conditions along with the fundamental aspects were also reviewed and evaluated comprehensively. In addition, the advancements and strategies towards potential scale-up of the microalgal cultivation technologies were highlighted to provide insights for further development into the upstream processes aimed at sustainable circular bioeconomy.
Fulltext A comparison of the clinical, laboratory and epidemiological features of two divergent subpopulations of Plasmodium knowlesi

Hu TH, Rosli N, Mohamad DSA, Kadir KA, Ching ZH, Chai YH, et al.

Sci Rep, 2021 10 11;11(1):20117.
PMID: 34635723 DOI: 10.1038/s41598-021-99644-8

Plasmodium knowlesi, a simian malaria parasite responsible for all recent indigenous cases of malaria in Malaysia, infects humans throughout Southeast Asia. There are two genetically distinct subpopulations of Plasmodium knowlesi in Malaysian Borneo, one associated with long-tailed macaques (termed cluster 1) and the other with pig-tailed macaques (cluster 2). A prospective study was conducted to determine whether there were any between-subpopulation differences in clinical and laboratory features, as well as in epidemiological characteristics. Over 2 years, 420 adults admitted to Kapit Hospital, Malaysian Borneo with knowlesi malaria were studied. Infections with each subpopulation resulted in mostly uncomplicated malaria. Severe disease was observed in 35/298 (11.7%) of single cluster 1 and 8/115 (7.0%) of single cluster 2 infections (p = 0.208). There was no clinically significant difference in outcome between the two subpopulations. Cluster 1 infections were more likely to be associated with peri-domestic activities while cluster 2 were associated with interior forest activities consistent with the preferred habitats of the respective macaque hosts. Infections with both P. knowlesi subpopulations cause a wide spectrum of disease including potentially life-threatening complications, with no implications for differential patient management.