Extraction of lemongrass oleoresin was successfully optimised using Pressurised Liquid Extraction (PLE). Character impact compounds; neral, geranial and geraniol which constituted 72% oleoresin, were monitored during this optimisation study by using GCMSD. Based on maximum extraction of these compounds, the optimised operating conditions for PLE were a temperature of 167°C, a pressure of 1203 psi and a static time of 20.43 min. The quality of PLE extract were compared with conventional extraction methods, hydrodistillation and Soxhlet extraction. The proposed method was found to be better in term of quantity of the targeted character impact compounds.
Central Composite Design (CCD) was used to optimize roasting conditions (temperature and
time) for Arabica coffee beans. Current method of roasting was able to give good quality beans
in term of flavour but the formation of acrylamide was not studied. In this study, optimization
based on high quantity of flavour compounds (pyrazines) with low level of acrylamide resulted
in roasting temperature of 167ºC for 22 minutes. The coffee beans produced using the optimized
conditions have the following characteristics: flavour compounds: 2,3,5 trimethyl pyrazine (0.48
mg/100 g), 2,3,5,6 tetramethyl pyrazine (0.42 mg/100 g), 2 methyl pyrazine (0.25 mg/100 g)
and 2,5 dimethyl pyrazine (0.13 mg/100 g) and low concentration of acrylamide (0.11 mg/100
g) with sensory evaluation of 7.5 from 10 points. This proposed roasting condition will be very
useful for coffee manufacturers in order to produce high quality coffee beans.
Studies have shown that organisational excellence is influenced amongst others by top management leadership and management quality, human resource management and customer focus. This is clearly illustrated by international organisational excellence models, e.g the Malaysian Prime Minister Quality Award, the American Quality Award, EFQM Excellence and Deming Prize Criteria Models.
With the objective of finding out how well the Pathology Department, Hospital Tuanku Ja'afar Seremban fares, a study was conducted in early 2006 and a repeated study performed in 2007 after remedial actions and continuous improvement activities have been undertaken by the department leadership and top management. The study was performed on the staff (internal customer) to gauge the degree of satisfaction in the areas of leadership, resource management and customer focus.
The study showed an increased in the overall satisfaction i.e. 65.43% in 2007 compared to 18.29% in 2006. The staff of the department have appreciated that the current leadership has been strengthened and the management has shown improved caring, professionalism and team work as stipulated by the Ministry of Health's Corporate Culture. There has also been increased sense of belonging, feeling being cared for, appreciated and loved by the management. This has led staff being more proud of the organisation and 88.1% have maintained that they have worked very hard in 2007 study compared to 57.69% in 2006 study. This study has shown that top management and leadership commitment and being staff or internal customer focus, while instituting changes in the organisation would inevitably lead to increased staff satisfaction and this in turn leads to improved staff participation and contribution to the organisation.
This paper describes an image analysis technique that objectively measures skin repigmentation for the assessment of therapeutic response in vitiligo treatments. Skin pigment disorders due to the abnormality of melanin production, such as vitiligo, cause irregular pale patches of skin. The therapeutic response to treatment is repigmentation of the skin. However the repigmentation process is very slow and is only observable after a few months of treatment. Currently, there is no objective method to assess the therapeutic response of skin pigment disorder treatment, particularly for vitiligo treatment. In this work, we apply principal component analysis followed by independent component analysis to represent digital skin images in terms of melanin and haemoglobin composition respectively. Vitiligo skin areas are identified as skin areas that lack melanin (non-melanin areas). Results obtained using the technique have been verified by dermatologists. Based on 20 patients, the proposed technique effectively monitored the progression of repigmentation over a shorter time period of six weeks and can thus be used to evaluate treatment efficacy objectively and more effectively.
In this paper, we describe an image processing scheme to analyze and determine areas of skin that have undergone repigmentation in particular, during the treatment of vitiligo. In vitiligo cases, areas of skin become pale or white due to the lack of skin pigment called melanin. Vitiligo treatment causes skin repigmentation resulting in a normal skin color. However, it is difficult to determine and quantify the amount of repigmentation visually during treatment because the repigmentation progress is slow and moreover changes in skin color can only be discerned over a longer time frame typically 6 months. Here, we develop a digital image analysis scheme that can identify and determine vitiligo skin areas and repigmentation progression on a shorter time period. The technique is based on principal component analysis and independent component analysis which converts the RGB skin image into a skin image that represent skin areas due to melanin and haemoglobin only, followed by segmentation process. Vitiligo skin lesions are identified as skin areas that lack melanin (non-melanin areas). In the initial studies of 4 patients, the method has been able to quantify repigmentation in vitiligo lesion. Hence it is now possible to determine repigmentation progression objectively and treatment efficacy on a shorter time cycle.