Modelling and optimization of process parameters for production of desiccated Chhana-murki (Indian cottage cheese-based dessert).

In the present study, process parameters were optimized for the production of desiccated chhana-murki (Indian cottage cheese-based dessert). Response Surface Methodology (RSM) was employed to explore the mutual effects of coagulation temperature (CT) of milk (70-90 °C), % fat level in milk (3.5%-5.5%), and sugar-to-paneer cube (SP) ratio (0.6-0.9) on instrumental hardness (N), water activity (aw), yield (%), sensory sweetness and overall acceptability (on 100-point intensity scale) of chhana-murki. The resulted responses were evaluated by analysis of variance (ANOVA), and the second-order polynomial response surface equations were fitted using multiple regression analysis. Determination coefficients (R 2) were equal to 80% or higher for individual responses stated that the developed models were well fitted to the experimental results. The optimized product was prepared using CT 79.22 °C, milk fat 4.8%, and SP ratio 0.7. Confirmatory experiment values for instrument hardness, water activity (aw), yield (%), sensory sweetness and overall acceptability were 105.05 N, 0.85, 115.2%, 61.2 and 78.8, respectively.

In vivo effect of two different dietary fiber blends on the milk calcium bioavailability.

Milk is a valuable source of dietary calcium and it becomes important to establish whether incorporation of dietary fiber (DF), a health promoting food constituent, would lead to any undesirable impact on the bioavailability of milk calcium or not. The DF fortified spray dried partly skimmed milk powder with prestandardized fiber Blend-I (psyllium husk, oat fiber, MCC, inulin) and fiber Blend-II (psyllium husk, oat bran, wheat fiber and inulin) was subjected to rat-feeding studies to examine the possible effects on the bioavailability of milk calcium. The differences for calcium absorption and retention among diets containing DF Blend-I, DF Blend-II and cellulose (control) were found to be non-significant. It was evident that the milk calcium bioavailability of the diets containing two fiber formulations tested (at the levels studied) was at par with that of control standard diet containing only cellulose as DF. Therefore, it is reasonable to incorporate these DF blends into dairy products, and thereby add value.

Production of a protein-rich extruded snack base using tapioca starch, sorghum flour and casein.

A protein-rich puffed snack was produced using a twin screw extruder and the effects of varying levels of tapioca starch (11 to 40 parts), rennet casein (6 to 20 parts) and sorghum flour (25 to 75 parts) on physico-chemical properties and sensory attributes of the product studied. An increasing level of sorghum flour resulted in a decreasing whiteness (Hunter L* value) of the snack. Although the starch also generally tended to make the product increasingly darker, both starch and casein showed redness parameter (a* value) was not significantly influenced by the ingredients levels, the yellow hue (b* value) generally declined with the increasing sorghum level. Tapioca starch significantly increased the expansion ratio and decreased the bulk density and hardness value of the snack, whereas the opposite effects seen in case of sorghum flour. While the water solubility index was enhanced by starch, water absorption index was appreciably improved by sorghum. Incorporation of casein (up to 25 %) improved the sensory color and texture scores, and so also the overall acceptability rating of the product. Sorghum flour had an adverse impact on all the sensory attributes whereas starch only on the color score. The casein or starch level had no perceivable effect on the product's flavor score. The response surface data enabled optimization of the snack-base formulation for the desired protein level or desired sensory characteristics.

A multidisciplinary approach to honest broker services for tissue banks and clinical data: a pragmatic and practical model.

BACKGROUND: Honest broker services are essential for tissue- and data-based research. The honest broker provides a firewall between clinical and research activities. Clinical information is stripped of Health Insurance Portability and Accountability Act-denoted personal health identifiers. Research material may have linkage codes, precluding the identification of patients to researchers. The honest broker provides data derived from clinical and research sources. These data are for research use only, and there are rules in place that prohibit reidentification. Very rarely, the institutional review board (IRB) may allow recontact and develop a recontact plan with the honest broker. Certain databases are structured to serve a clinical and research function and incorporate 'real-time' updating of information. This complex process needs resolution of a variety of issues regarding the precise role of the HB and their interaction with data. There also is an obvious need for software solutions to make the task of deidentification easier. METHODS: The University of Pittsburgh has implemented a novel, IRB-approved mechanism to address honest broker functions to meet the specimen and data needs of researchers. The Tissue Bank stores biologic specimens. The Cancer Registry culls data and annotating information as part of state- and federal-mandated functions and collects data on the clinical progression, treatment, and outcomes of cancer patients. The Cancer Registry also has additional IRB approval to collect data elements only for research purposes. The Clinical Outcomes Group is involved in patient safety and health services research. Radiation Oncology and Medical Oncology provide critical treatment related information. Pathology and Oncology Informatics have designed software tools for querying availability of specimens, extracting data, and deidentifying specimens and annotating data for clinical and translational research. These entities partnered and submitted a joint IRB proposal to create an institutional honest broker facility. The employees of this conglomerate have honest broker agreements with the University of Pittsburgh and the Medical Center. This provides a large group of honest brokers, ensuring availability for projects without any conflict of interest. RESULTS: The honest broker system has been an IRB-approved institutional entity at the University of Pittsburgh since 2003. The honest broker system currently includes 33 certified honest brokers encompassing the multiple partners of this system. The honest broker system has handled >1600 requests over the past 4 years with a 25% increase in volume each year. CONCLUSIONS: The current results indicate that the collaborative honest broker model described herein is robust and provides a highly functional solution to the specimen and data needs for critical clinical and translational research activities.