Displaying publications 1 - 20 of 104 in total

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  1. Jairoun AA, Shahwan M, Zyoud SH
    Sci Rep, 2020 11 02;10(1):18824.
    PMID: 33139833 DOI: 10.1038/s41598-020-76000-w
    A specific safety concern is the possibility that a dietary supplement could be contaminated with heavy metals. This research was undertaken to investigate the daily exposure levels of heavy metals in dietary supplements available in the UAE and to explore the factors associated with the contamination of dietary supplements with heavy metals. A total of 277 dietary supplement samples were collected from the UAE market and prepared for the analysis of selected heavy metal contamination. Inductively coupled plasma mass spectrometry (ICP-MS) was used to determine the presence of heavy metals. The average daily intake of cadmium was 0.73 μg [95% CI 0.61-0.85], compared to the acceptable daily intake (ADI) of 6 μg; the daily intake of lead was 0.85 μg [95% CI 0.62-1.07], compared to the acceptable daily intake (ADI) of 20 μg; and the daily intake of arsenic was 0.67 μg [95% CI 0.57-0.78], compared to the acceptable daily intake of 10 μg. Although the dietary supplements available in the UAE have low levels of heavy metal contamination, numerous individuals are consuming a number of different dietary supplements every day and thereby may experience a cumulative level of toxic exposure. Dietary supplements formulations (Categories), dosage forms and country of origin are strong determents of heavy metal contamination in dietary supplements products.
    Matched MeSH terms: Food Industry
  2. Hidayah, N., Abu Bakar, F., Mahyudin, N.A., Faridah, S., Nur-Azura, M.S., Zaman, M.Z.
    MyJurnal
    This article summarises the current methods for total malachite green (MG) detection which is known as a sum of MG and leuco-malachite green (LMG) that has been used extensively in aquaculture as fungicide, dye color in textile and other purposes in food industries. LMG is a reducing form of MG, where the MG is easily reduced due to the photo-oxidative de-methylation process. Nevertheless, the use of MG had become an issue due to its toxicity effects. Many analytical instruments such as HPLC, LC—MS/MS, GC—MS, and spectrometry have been widely used for detection of MG. However, these methods require long time sample preparation and analysis, expensive, use hazardous reagents and indirect measurements. Hence, other analytical methods which are more sensitive, safe, rapid, inexpensive and portable are required. Alternatively, biosensors promise a more sensitive and rapid detection method for MG and LMG.
    Matched MeSH terms: Food Industry
  3. AGNES LEE CHIU NEE, MOHD NIZAM LANI, ROZILA ALIAS, ZAITON HASSAN
    MyJurnal
    Vinegars are most widely used as preservatives in food industry. Vinegars are known for their health benefits; however, the roles of vinegar-associated microflora in locally produced vinegars are not well established. The objectives of this study are to isolate and identify the lactic acid bacteria (LAB) from black rice vinegar and coconut vinegar, measure their pH and titratable acidity, and determine their antibacterial activity. LAB was isolated using cultural method. Phenotypic characterization of LAB was carried out using Gram-staining, oxidase test, catalase test and API 50 CHL Kit. Results from API 50 CHL Kit confirmed that BRV03M strain from black rice vinegar and CV03M strain from coconut vinegar were Lactobacillus paracaseissp. paracasei. The identified bacteria in both samples were consistent as L. paracaseiusing 16S rDNAgene sequences with 93% and 99% similarity, respectively. The pH and titratable acidity percentage of both vinegars were also determined. The stability of Cell Free Supernatant-Lactic Acid Bacteria (CFS-LAB) strains within 14 days on their inhibition against selected pathogenic bacteria was determined using agar well diffusion method. The CFS-LAB strain isolated from black rice vinegar (BRV03M) was more stable within 14 days than coconut vinegar in inhibiting tested bacteria, suggesting this strain has great potential as natural antibacterial agents.
    Matched MeSH terms: Food Industry
  4. Wu H, Sang S, Weng P, Pan D, Wu Z, Yang J, et al.
    Compr Rev Food Sci Food Saf, 2023 Nov;22(6):4217-4241.
    PMID: 37583298 DOI: 10.1111/1541-4337.13217
    Starch-based materials have viscoelasticity, viscous film-forming, dough pseudoplasticity, and rheological properties, which possess the structural characteristics (crystal structure, double helix structure, and layered structure) suitable for three-dimensional (3D) food printing inks. 3D food printing technology has significant advantages in customizing personalized and precise nutrition, expanding the range of ingredients, designing unique food appearances, and simplifying the food supply chain. Precision nutrition aims to consider individual nutritional needs and individual differences, which include special food product design and personalized precise nutrition, thus expanding future food resources, then simplifying the food supply chain, and attracting extensive attention in food industry. Different types of starch-based materials with different structures and rheological properties meet different 3D food printing technology requirements. Starch-based materials suitable for 3D food printing technology can accurately deliver and release active substances or drugs. These active substances or drugs have certain regulatory effects on the gut microbiome and diabetes, so as to maintain personalized and accurate nutrition.
    Matched MeSH terms: Food Industry
  5. Ng, A.W.R., Wong, C.W.
    MyJurnal
    Polyphenol oxidase (PPO) catalyzes the conversion of phenolic compounds into o-quinones which will lead to food browning. This phenomenon causes huge implications on food industries, as it degrades food quality over time. By combining both ammonium sulphate precipitation and gel filtration chromatography, PPO was partially purified up to 5.26-fold with 11.23% yield. The enzyme activity was 5120 EU/mL using 4-methylcatechol as substrate. Maximal PPO activity was found at 30oC, pH 5.0 for 4-methylcatechol and 40°C, pH 6.0 for catechol. The PPO showed a higher affinity towards 4-methylcatechol but higher thermal stability when reacting with catechol. The Km and Vmax values were 5.00 mM, 2000 EU/ml for 4-methylcatechol and 10.79 mM, 526.32 EU/ml for catechol. Energy for inactivation (Ea) obtained using 4-methylcatechol and catechol were 12.57 kJ/mol and 14.23 kJ/mol from respective substrates. Sodium disulfite was a better inhibitor where 79.17% of PPO inhibition was achieved. The isolation and characterization of round brinjal PPO serves as a guideline to predict the behavior of enzyme, leading to effective prevention of its browning during processing and storage.
    Matched MeSH terms: Food Industry
  6. He L, Mao Y, Zhang L, Wang H, Alias SA, Gao B, et al.
    BMC Biotechnol, 2017 02 28;17(1):22.
    PMID: 28245836 DOI: 10.1186/s12896-017-0343-8
    BACKGROUND: α-Amylase plays a pivotal role in a broad range of industrial processes. To meet increasing demands of biocatalytic tasks, considerable efforts have been made to isolate enzymes produced by extremophiles. However, the relevant data of α-amylases from cold-adapted fungi are still insufficient. In addition, bread quality presents a particular interest due to its high consummation. Thus developing amylases to improve textural properties could combine health benefits with good sensory properties. Furthermore, iron oxide nanoparticles provide an economical and convenient method for separation of biomacromolecules. In order to maximize the catalytic efficiency of α-amylase and support further applications, a comprehensive characterization of magnetic immobilization of α-amylase is crucial and needed.

    RESULTS: A novel α-amylase (AmyA1) containing an open reading frame of 1482 bp was cloned from Antarctic psychrotolerant fungus G. pannorum and then expressed in the newly constructed Aspergillus oryzae system. The purified recombinant AmyA1 was approximate 52 kDa. AmyA1 was optimally active at pH 5.0 and 40 °C, and retained over 20% of maximal activity at 0-20 °C. The K m and V max values toward soluble starch were 2.51 mg/mL and 8.24 × 10-2 mg/(mL min) respectively, with specific activity of 12.8 × 103 U/mg. AmyA1 presented broad substrate specificity, and the main hydrolysis products were glucose, maltose, and maltotetraose. The influence of AmyA1 on the quality of bread was further investigated. The application study shows a 26% increase in specific volume, 14.5% increase in cohesiveness and 14.1% decrease in gumminess in comparison with the control. AmyA1 was immobilized on magnetic nanoparticles and characterized. The immobilized enzyme showed improved thermostability and enhanced pH tolerance under neutral conditions. Also, magnetically immobilized AmyA1 can be easily recovered and reused for maximum utilization.

    CONCLUSIONS: A novel α-amylase (AmyA1) from Antarctic psychrotolerant fungus was cloned, heterologous expression in Aspergillus oryzae, and characterized. The detailed report of the enzymatic properties of AmyA1 gives new insights into fungal cold-adapted amylase. Application study showed potential value of AmyA1 in the food and starch fields. In addition, AmyA1 was immobilized on magnetic nanoparticles and characterized. The improved stability and longer service life of AmyA1 could potentially benefit industrial applications.

    Matched MeSH terms: Food Industry/methods
  7. 'Aqilah NMN, Rovina K, Felicia WXL, Vonnie JM
    Molecules, 2023 Mar 14;28(6).
    PMID: 36985603 DOI: 10.3390/molecules28062631
    The food production industry is a significant contributor to the generation of millions of tonnes of waste every day. With the increasing public concern about waste production, utilizing the waste generated from popular fruits and vegetables, which are rich in high-added-value compounds, has become a focal point. By efficiently utilizing food waste, such as waste from the fruit and vegetable industries, we can adopt a sustainable consumption and production pattern that aligns with the Sustainable Development Goals (SDGs). This paper provides an overview of the high-added-value compounds derived from fruit and vegetable waste and their sources. The inclusion of bioactive compounds with antioxidant, antimicrobial, and antibrowning properties can enhance the quality of materials due to the high phenolic content present in them. Waste materials such as peels, seeds, kernels, and pomace are also actively employed as adsorbents, natural colorants, indicators, and enzymes in the food industry. Therefore, this article compiles all consumer-applicable uses of fruit and vegetable waste into a single document.
    Matched MeSH terms: Food Industry
  8. Thung, T.Y., Lee, E., Tan, C.W., Malcolm, T.T.H., New, C.Y., Ramzi, O.S.B., et al.
    Food Research, 2018;2(5):404-414.
    MyJurnal
    Bacteriophages are ubiquitous in our world, mainly in the oceans, soil, the water and food
    we consume. They can be used efficiently in modern biotechnology, as well as alternatives
    to antibiotics for many antibiotic resistant bacterial strains. Phages can be used as vehicles
    for vaccines both DNA and protein, for the detection of pathogenic bacterial strain, as biocontrol
    agents in agriculture and food industry. This review outlines the properties as well
    as the influence of different external physical and chemical factors like temperature and
    acidity on phage persistence. A better understanding of the complex problem of phage
    sensitivity to external factors may be useful for other researchers working with phages.
    Furthermore, the applications of bacteriophages were described in this paper as well.
    Matched MeSH terms: Food Industry
  9. Teoh WL, Khoo MB, Teh SY
    PLoS One, 2013;8(7):e68580.
    PMID: 23935873 DOI: 10.1371/journal.pone.0068580
    Designs of the double sampling (DS) X chart are traditionally based on the average run length (ARL) criterion. However, the shape of the run length distribution changes with the process mean shifts, ranging from highly skewed when the process is in-control to almost symmetric when the mean shift is large. Therefore, we show that the ARL is a complicated performance measure and that the median run length (MRL) is a more meaningful measure to depend on. This is because the MRL provides an intuitive and a fair representation of the central tendency, especially for the rightly skewed run length distribution. Since the DS X chart can effectively reduce the sample size without reducing the statistical efficiency, this paper proposes two optimal designs of the MRL-based DS X chart, for minimizing (i) the in-control average sample size (ASS) and (ii) both the in-control and out-of-control ASSs. Comparisons with the optimal MRL-based EWMA X and Shewhart X charts demonstrate the superiority of the proposed optimal MRL-based DS X chart, as the latter requires a smaller sample size on the average while maintaining the same detection speed as the two former charts. An example involving the added potassium sorbate in a yoghurt manufacturing process is used to illustrate the effectiveness of the proposed MRL-based DS X chart in reducing the sample size needed.
    Matched MeSH terms: Food Industry/methods; Food Industry/statistics & numerical data*
  10. Cao W, Chen X, Chin Y, Zheng J, Lim PE, Xue C, et al.
    J Food Biochem, 2021 Apr 04.
    PMID: 33817806 DOI: 10.1111/jfbc.13686
    Natural compounds have tremendous potential to regulate glucose metabolism, but conventional methods for studying their bioactivities are usually labor intensive. Here, hypoglycemic properties in 22 selected food-derived compounds were examined using molecular docking. The results indicated that curcumin is an inhibitor of both α-glucosidase and dipeptidyl-peptidase 4 (DPP-4), which are important for glycemic control. These effects of curcumin were also confirmed by enzymatic determination in vitro. Furthermore, curcumin significantly improved diet-induced hyperglycemia (e.g., fasting plasma glucose levels and glycogen storage in muscle or liver) in mice. This might be attributed to its inhibitory effects on the activities of α-glucosidase and DPP-4 in vivo. Curcumin also upregulated the expression of genes (e.g., glucagon-like peptide 1) related to DPP-4 activity in the small intestine. In conclusion, curcumin is a potential ingredient of functional foods used for diet-induced hyperglycemia management. PRACTICAL APPLICATIONS: Curcumin has been widely used as a colorant in the food industry. Moreover, a growing number of studies have described its diverse biological functions, such as anti-inflammatory, anti-oxidant, and anti-angiogenic activities. Thus, curcumin is regarded as a potential ingredient in functional foods. Our results highlighted the hyperglycemic effect of curcumin, suggesting that curcumin may be included in food products for hyperglycemic patients.
    Matched MeSH terms: Food Industry
  11. Nyam, K.L., Wong, M.M., Long, K., Tan, C.P.
    MyJurnal
    With the concern of adverse effects of lipid oxidation on food deterioration and human health, the antioxidant activities of kenaf seed extracts (KSE), roselle seed extracts (RSE) and roselle extracts (RE) were evaluated by comparing its oxidative stability in refined, bleached & deodorised (RBD) sunflower oils with that of in synthetic antioxidant, BHA. Established methods such as peroxide values (PV), p-anisidine values (AV), TOTOX values, free fatty acids (FFA), iodine values (IV), total phenolic contents (TPC), conjugated dienes (CD) and conjugated triene (CT) were employed to assess the extent of oil deterioration. During 24 days storage, consensus was accomplished based on the results assessed by PV, TOTOX, CD, CT, IV and TPC at which the antioxidant activities of KSE, RSE and RE were better than BHA. Surprisingly, the results obtained by AV and FFA assays showed the reversed. Among the extracts, RSE exhibited the best antioxidant activities. These suggest that KSE, RSE and RE may be used as potential source of natural antioxidants in the application of food industry to prevent lipid oxidation.
    Matched MeSH terms: Food Industry
  12. Pourasl AH, Ahmadi MT, Rahmani M, Chin HC, Lim CS, Ismail R, et al.
    Nanoscale Res Lett, 2014 Jan 15;9(1):33.
    PMID: 24428818 DOI: 10.1186/1556-276X-9-33
    In recent years, carbon nanotubes have received widespread attention as promising carbon-based nanoelectronic devices. Due to their exceptional physical, chemical, and electrical properties, namely a high surface-to-volume ratio, their enhanced electron transfer properties, and their high thermal conductivity, carbon nanotubes can be used effectively as electrochemical sensors. The integration of carbon nanotubes with a functional group provides a good and solid support for the immobilization of enzymes. The determination of glucose levels using biosensors, particularly in the medical diagnostics and food industries, is gaining mass appeal. Glucose biosensors detect the glucose molecule by catalyzing glucose to gluconic acid and hydrogen peroxide in the presence of oxygen. This action provides high accuracy and a quick detection rate. In this paper, a single-wall carbon nanotube field-effect transistor biosensor for glucose detection is analytically modeled. In the proposed model, the glucose concentration is presented as a function of gate voltage. Subsequently, the proposed model is compared with existing experimental data. A good consensus between the model and the experimental data is reported. The simulated data demonstrate that the analytical model can be employed with an electrochemical glucose sensor to predict the behavior of the sensing mechanism in biosensors.
    Matched MeSH terms: Food Industry
  13. Leong WF, Che Man YB, Lai OM, Long K, Misran M, Tan CP
    J Agric Food Chem, 2009 Sep 23;57(18):8426-33.
    PMID: 19694442 DOI: 10.1021/jf901853y
    The purpose of this study was to optimize the parameters involved in the production of water-soluble phytosterol microemulsions for use in the food industry. In this study, response surface methodology (RSM) was employed to model and optimize four of the processing parameters, namely, the number of cycles of high-pressure homogenization (1-9 cycles), the pressure used for high-pressure homogenization (100-500 bar), the evaporation temperature (30-70 degrees C), and the concentration ratio of microemulsions (1-5). All responses-particle size (PS), polydispersity index (PDI), and percent ethanol residual (%ER)-were well fit by a reduced cubic model obtained by multiple regression after manual elimination. The coefficient of determination (R(2)) and absolute average deviation (AAD) value for PS, PDI, and %ER were 0.9628 and 0.5398%, 0.9953 and 0.7077%, and 0.9989 and 1.0457%, respectively. The optimized processing parameters were 4.88 (approximately 5) homogenization cycles, homogenization pressure of 400 bar, evaporation temperature of 44.5 degrees C, and concentration ratio of microemulsions of 2.34 cycles (approximately 2 cycles) of high-pressure homogenization. The corresponding responses for the optimized preparation condition were a minimal particle size of 328 nm, minimal polydispersity index of 0.159, and <0.1% of ethanol residual. The chi-square test verified the model, whereby the experimental values of PS, PDI, and %ER agreed with the predicted values at a 0.05 level of significance.
    Matched MeSH terms: Food Industry/methods*
  14. Tan TB, Yussof NS, Abas F, Mirhosseini H, Nehdi IA, Tan CP
    Food Chem, 2016 Mar 1;194:416-23.
    PMID: 26471574 DOI: 10.1016/j.foodchem.2015.08.045
    A solvent displacement method was used to prepare lutein nanodispersions. The effects of processing parameters (addition method, addition rate, stirring time and stirring speed) and emulsifiers with different stabilizing mechanisms (steric, electrostatic, electrosteric and combined electrostatic-steric) on the particle size and particle size distribution (PSD) of the nanodispersions were investigated. Among the processing parameters, only the addition method and stirring time had significant effects (p<0.05) on the particle size and PSD. For steric emulsifiers, Tween 20, 40, 60 and 80 were used to produce nanodispersions successfully with particle sizes below 100nm. Tween 80 (steric) was then chosen for further comparison against sodium dodecyl sulfate (SDS) (electrostatic), sodium caseinate (electrosteric) and SDS-Tween 80 (combined electrostatic-steric) emulsifiers. At the lowest emulsifier concentration of 0.1%, all the emulsifiers invariably produced stable nanodispersions with small particle sizes (72.88-142.85nm) and narrow PSDs (polydispersity index<0.40).
    Matched MeSH terms: Food Industry/methods
  15. Kohilavani, Zzaman, W., Abdullah, W.W.N., Tajul, A.Y.
    MyJurnal
    Since early 2000, Malaysian food-export industries have recognised the demand for food
    compliant with Islamic dietary law (halal), with primary consumer choices based on quality
    and safety. The lack of documented monitoring for health hazards and haram substances led
    to the withdrawal of certification. The HACCP-based halal quality-assurance standards were
    developed as a result, using the HACCP criteria for safety, religious dietary requirement and
    quality. Halal critical control points (HlCCP) are identified using HACCP criteria and a question
    tree on HALAL processing and storage. This approach harmonizes and unifies halal processing
    with the specific food industry via an HACCP–based halal quality-assurance system.
    Matched MeSH terms: Food Industry
  16. Fadilah N, Mohamad-Saleh J, Abdul Halim Z, Ibrahim H, Syed Ali SS
    Sensors (Basel), 2012;12(10):14179-95.
    PMID: 23202043 DOI: 10.3390/s121014179
    Ripeness classification of oil palm fresh fruit bunches (FFBs) during harvesting is important to ensure that they are harvested during optimum stage for maximum oil production. This paper presents the application of color vision for automated ripeness classification of oil palm FFB. Images of oil palm FFBs of type DxP Yangambi were collected and analyzed using digital image processing techniques. Then the color features were extracted from those images and used as the inputs for Artificial Neural Network (ANN) learning. The performance of the ANN for ripeness classification of oil palm FFB was investigated using two methods: training ANN with full features and training ANN with reduced features based on the Principal Component Analysis (PCA) data reduction technique. Results showed that compared with using full features in ANN, using the ANN trained with reduced features can improve the classification accuracy by 1.66% and is more effective in developing an automated ripeness classifier for oil palm FFB. The developed ripeness classifier can act as a sensor in determining the correct oil palm FFB ripeness category.
    Matched MeSH terms: Food Industry/instrumentation
  17. Dapari R, Mahfot MH, Chiu Yan Yee F, Ahmad ANI, Magayndran K, Ahmad Zamzuri M'I, et al.
    PLoS One, 2023;18(11):e0293987.
    PMID: 37943862 DOI: 10.1371/journal.pone.0293987
    INTRODUCTION: Malaysia's gross domestic product is heavily influenced by the food and beverage sector and the contribution of the industry to the national economy is expected to increase in the coming years. Thus, the need for employees in the food industry will continue to rise as this sector grows. Nevertheless, employees in the food industry are exposed to various occupational hazards that can lead to occupational injuries, mainly related to kitchen work. Given the increasing number of employees in the food industry and the rising trend of occupational injuries, this study was conducted to determine the prevalence of recent occupational injuries and their associated factors and predictors among food industry workers.

    METHODS: This cross-sectional study was conducted in 2023 among food industry workers in Selangor, Malaysia. The respondents were sampled using a multistage random sampling method. Data were collected via online self-administered questionnaires and analysed using descriptive statistics and logistic regression models in the SPSS software, version 25.

    RESULTS: A total of 250 responses were received from 342 samples, with an overall response rate of 73.0%. The prevalence of recent occupational injuries among food industry workers was 44.8%. Statistically, significant associations were present between occupational injuries and alcohol consumption (p = 0.001), poor knowledge (p = 0.031), poor compliance (p = 0.021), poor safety management (p = 0.021), poor safety training (p = 0.002), poor safety culture (p = 0.003), physical exposure (p < 0.001), and ergonomic exposure (p = 0.009). The predictors for recent occupational injuries among food industry workers were Malay (adjusted Odds Ratio; aOR = 2.60, p = 0.027, 95% Confidence Interval; CI = 1.116, 6.035), alcohol consumption (aOR = 5.31, p = 0.001, 95% CI = 2.042, 13.779), poor knowledge (aOR = 1.98, p = 0.032, 95% CI = 1.059, 3.691), poor safety culture (aOR = 2.44, p = 0.002, 95% CI = 1.372, 4.342), and exposure to physical hazards (aOR = 8.88, p < 0.001, 95% CI = 3.031, 26.014).

    CONCLUSION: This study has found a high prevalence of occupational injuries among food industry workers, thereby highlighting the importance of addressing alcohol consumption, improving worker knowledge, enhancing work safety culture, and better control measures on exposure to physical hazards, especially among Malay workers. By prioritising these factors, employers can create safer work environments and minimise the risk of occupational injuries.

    Matched MeSH terms: Food Industry
  18. Md Zamri ASS, Saruddin MZ, Harun A, Abd Aziz SF, Aizad Za'bah AK, Dapari R, et al.
    PLoS One, 2023;18(6):e0287040.
    PMID: 37307252 DOI: 10.1371/journal.pone.0287040
    INTRODUCTION: Occupational asthma (OA) is a type of Work-Related Asthma characterised by variable airflow limitation and/or inflammation due to causes and conditions attributable to a particular occupational environment, and not to stimuli encountered outside the workplace. There is an increasing need to extend the depth of knowledge of OA to better manage this condition, especially among food industry workers who are affected by it.

    OBJECTIVE: This systematic review aimed to determine the factors associated with occupational asthma among food industry workers by electronically collecting articles from two databases (Medline and Scopus).

    METHODS: This systematic review was prepared in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta Analyses) updated guideline. Two independent reviewers screened the titles and abstracts of the collected data, which were then stored in Endnote20 based on the inclusion and exclusion criteria. The included articles have been critically appraised to assess the quality of the studies using the Mixed Methods Appraisal Tool (MMAT).

    RESULT: The search yielded 82 articles from Medline and 85 from SCOPUS, resulting in 167 unique hits. Only 22 articles have been included in the full-text assessment following a rigorous selection screening. Of the 22 articles identified, five were included in the final review. Several factors were found to have contributed to occupational asthma among food industry workers. They were classified into two categories: (1) work environment-related factors; and (2) individual factors.

    CONCLUSION: Several work environment and individual-related factors were found to be associated with OA among food industry workers. A better understanding of the development of the disease and its potential risk factors is needed because it can affect worker's quality of life. Pre-employment and periodic medical surveillance should be conducted to assess and detect any possible risk of developing occupational asthma among workers.

    Matched MeSH terms: Food Industry
  19. Dapari R, Mahfot MH, Ahmad Zamzuri M'I, Md Isa Z, Hassan MR, Che Dom N, et al.
    PLoS One, 2024;19(1):e0295771.
    PMID: 38165964 DOI: 10.1371/journal.pone.0295771
    INTRODUCTION: The significant contribution of the food and beverage industry to Malaysia's Gross Domestic Product is projected to increase in the upcoming years. With the industry's expansion, the demand for workers on food premises would also continuously increase. The food industry workers are exposed to risks arising from physical, chemical, biological, ergonomic, and psychosocial hazards while performing their duties. Thus, it is essential for these workers to be equipped with proper knowledge, attitude, and practices (KAP) in safety and health.

    AIMS: This study aims to develop and evaluate the effectiveness of the safety and health programme TRIMOSH (Theory-Based Intervention Module on Occupational Safety and Health) in improving the knowledge, attitude, and practice among food industry workers.

    METHODS: TRIMOSH intervention study is a two-arm randomised, single-blinded, controlled, parallel trial that will be conducted among food industry workers in Selangor, Malaysia. In a partnership with Food Handler Training Schools in Selangor, 10 pairs of Food Handler Training Schools with 12 participants per group (n = 240) will be recruited for balanced randomisation intervention and control conditions. Furthermore, data collection of all participants was conducted at four time points: baseline (T0), immediately (T1), one month (T2), and three months (T3) post-intervention. Generalised Linear Mixed Model (GLMM) will be conducted to determine the effects of intervention within and between study groups. Subsequently, the primary outcomes increase the knowledge, attitude, and practice (KAP) of safety and health at food premises. Clinical Trial Registry registration was approved by the ClinicalTrials.gov committee on October 2022 with the ClinicalTrials.gov Identifier: NCT05571995. This study has also been approved by the Ethics Committee for Research Involving Human Subjects of Universiti Putra Malaysia (JKEUPM-2022-346). All participants are required to provide consent prior to participation.

    CONCLUSIONS: The characteristics of the respondents are expected to show no difference between the groups. It is hypothesised that TRIMOSH is effective in improving the knowledge, attitude, and practices of food industry workers in Selangor. The results will be reported and presented in international peer-reviewed journals, conferences, and other platforms. In addition, the TRIMOSH programme will be offered at the national level by the relevant authorities for the benefit of food industry workers.

    Matched MeSH terms: Food Industry
  20. Sacks G, Vanderlee L, Robinson E, Vandevijvere S, Cameron AJ, Ni Mhurchu C, et al.
    Obes Rev, 2019 11;20 Suppl 2:78-89.
    PMID: 31317645 DOI: 10.1111/obr.12878
    Addressing obesity and improving the diets of populations requires a comprehensive societal response. The need for broad-based action has led to a focus on accountability of the key factors that influence food environments, including the food and beverage industry. This paper describes the Business Impact Assessment-Obesity and population-level nutrition (BIA-Obesity) tool and process for benchmarking food and beverage company policies and practices related to obesity and population-level nutrition at the national level. The methods for BIA-Obesity draw largely from relevant components of the Access to Nutrition Index (ATNI), with specific assessment criteria developed for food and nonalcoholic beverage manufacturers, supermarkets, and chain restaurants, based on international recommendations and evidence of best practices related to each sector. The process for implementing the BIA-Obesity tool involves independent civil society organisations selecting the most prominent food and beverage companies in each country, engaging with the companies to understand their policies and practices, and assessing each company's policies and practices across six domains. The domains include: "corporate strategy," "product formulation," "nutrition labelling," "product and brand promotion," "product accessibility," and "relationships with other organisations." Assessment of company policies is based on their level of transparency, comprehensiveness, and specificity, with reference to best practice.
    Matched MeSH terms: Food Industry/standards*
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