Hazard analysis and CCP determination are the backbones of HACCP development and
implementation. The rest of HACCP principles depend on these two principles. A decision
tree is used to assist in determining the CCP. There are two types of decision trees used in the
HACCP system that is decision trees for raw material/packaging material and process step.
Various methods of the decision tree used in HACCP systems not only have advantages, but it
can also contribute to the confusion in its application by practitioners. Although the decision
tree is just a tool to help determine the CCP, its use is a significant impact on the HACCP team,
consultants and decision-making authority in determining the CCP and sensitive raw materials
in a structured manner.
The objective of this study was to determine the physicochemical properties of pink guava (Psidium guajava) puree and its anti-hypertensive effect on Spontaneous Hypertensive Rats (SHR). Antioxidant activities of pink guava puree in water and ethanol extracts, based on 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay, were 1.43±0.04 mg/gfm and 0.28±0.01 mg/gfm, respectively. A total of 24 male SHRs were divided into a control group, CG, and 3 treatment dosage groups [low dose group, LDG (0.5 g/kg body weight/day), medium dose group, MDG (1.0 g/kg body weight/day), and high dose group, HDG (2.0 g/kg body weight/day)]. Final body weights for treatment dosage groups were lower [MDG (313.01±31.25 g), HDG (318.56±17.96 g), LDG (320.01±22.70 g)] compared to CG (331.08±41.29 g). Final systolic blood pressure values from the beginning and the end of the experiment in MDG and HDG were 231-179 mmHg and 246-169mm Hg, respectively. These results were significantly lower when compared with CG (241-223 mmHg) from the beginning until the end of the experiment. As a conclusion, these results showed that pink guava puree has anti-hypertensive properties.
Food insecurity, the inability to have sufficient, safe and nutritious food for an active and healthy life, was found to be closely associated with adverse health outcomes. However, limited studies can be found that clearly explains lipid profile and inflammatory events among food secure and insecure individuals, especially among young adults in university, thus creating the need for further research. This study investigated both groups including their gender distribution to determine lipid profile such as total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) and inflammatory marker, high sensitivity C reactive protein (hs-CRP), with waist circumference (WC), fat mass index (FMI) and waist-to-height-ratio (WHTR). A comparative cross-sectional study was carried out among participants aged between 18 to 25 years old (N=124) who were selected through the Adults Food Security Survey Module (AFSSM) and participated in blood draw procedures. Well-established blood markers of lipid profile and inflammatory marker were measured. Percentage of food secure individuals (56.5%) was slightly higher than food insecure (43.5%). Although mean (M) of Hs-CRP for male and female (M=1.000, M=0.645) was higher in food secure group, all other variables showed higher measurements among the food insecure groups. Lipid profiles, TC (M=5.175, M=5.062) and LDL (M=3.100, M=2.914) were high for both male and female respectively, while TG is high for male (M=0.817) (p=0.037) and HDL for female (M=1.826). For body composition such as FMI (M=4.494, M=5.452), WC (M=77.46, M=76.82) and WHtR (M=0.471, M=0.497), male and female respectively, in food insecure group showed higher results but only FMI showed a significant difference (p = 0.016). Statistics showed an association between food security status and lipid profile (TG) and with FMI. However, no significant association was found with inflammatory marker. This study will continue further in depth in gene expression of peroxisome proliferator activated receptor gamma (PPAR-y) and endothelial dysfunction to better understand this issue. Regardless, current data provides knowledge and understanding of food insecurity experienced by young adults in university campus and may help them in making healthier food choices and be appreciative of the risk of chronic illnesses.