• Journal of the Korean Society of Food Science and Nutrition
• /
• v.37 no.1
• /
• pp.97-102
• /
• 2008

For the use of salmon frame in zero emission, the snack using residues of salmon Gomtang was prepared and investigated on the food component characterization. According to the results of volatile basic nitrogen, water activity and sensory evaluation, the optimal substitution ratio of residues was 15% based on the mix. Total amino acid content was higher in the snack (14.8 g/100 g) with 15% residues than in snack (9.8 g/100 g) without residues. The major amino acids of the residues-added snack were aspartic acid (9.9%), glutamic acid (14.7%) and proline (9.5%). The snack with 15% residues were enriched in the mineral (calcium and phosphorus) and polyunsaturated fatty acid (20:5n-3 and 22:6n-3) compared to those of snack without residues.

• Journal of the East Asian Society of Dietary Life
• /
• v.23 no.2
• /
• pp.203-210
• /
• 2013

In this study, cod bone were used as the main ingredient of a stock that can be eaten with Korean dried noodles. The stock was produced with heating for 30, 40, 50, 60, or 70 minutes using high-pressure extraction methods. Moisture content, chromaticity, pH, sugar content, salinity, mineral contents, quantitative analysis, and overall acceptance were studied to determine the optimal heating time. In our result, S1 the showed highest water contents 98.10%, while S5 showed the lowest moisture content (97.47%). There were no significant difference in pH between samples, while salinity and sugar content increased with increases in heating time. In terms of mineral contents, sodium and potassium showed proportional difference with increases in heating time, however, magnesium, calcium, and iron did not change. The results from a quantitative analysis test showed that transparency, fishy smell, delicate flavor, savory flavor, salt taste, and umami taste became stronger with increases in heating time increase. From the above results, the overall taste of the stock increases with increases in high-pressure heating time. Specifically, S4 high-pressure heating scored the highest on appearance, flavor, taste, after-taste, and overall acceptance. Thus, 60 minutes of high-pressure heating time is most desirable when producing stock with cod bones as a main ingredient.

• Culinary science and hospitality research
• /
• v.20 no.2
• /
• pp.89-99
• /
• 2014

This study aims to make stock using cod bones with the hot water extraction method. Moisture content, chromaticity, pH, salinity, sugar content, mineral contents, quantitative analysis, and overall acceptance were studied to determine the standard formula. The results are as follows. The moisture content decreased (p < 0.001) and color value increased as heating time increased. The pH was highest in CS5 which was heated for 30 minutes and lowest in CS1. The salinity and sugar content significantly increased with more heating time (p < 0.001). In terms of mineral contents, sodium was highest in 138.87~154.17 mg, magnesium and iron showed proportion difference with increased heating time. The mineral analysis test result revealed that sodium, magnesium and iron showed proportional difference with increased heating time, while potassium and calcium did not change. The result of quantitative analysis test showed transparency, fishy smell, delicate flavor, savory flavor, salt taste and umami taste became stronger as high-pressure heating time increased. From these result, CS4 was evaluated to be the best in appearance, flavor, taste, aftertest and overall acceptance. Also, 60 minute high-pressure heating time is the most desirable to produce stock using cod bones as a main ingredient.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
• /
• 2001.06a
• /
• pp.1153-1153
• /
• 2001

Directive 79/373/EEC on the marketing of compound feeding stuffs, provided far a flexible declaration arrangement confined to the indication of the feed materials without stating their quantity and the possibility was retained to declare categories of feed materials instead of declaring the feed materials themselves. However, the BSE (Bovine Spongiform Encephalopathy) and the dioxin crisis have demonstrated the inadequacy of the current provisions and the need of detailed qualitative and quantitative information. On 10 January 2000 the Commission submitted to the Council a proposal for a Directive related to the marketing of compound feeding stuffs and the Council adopted a Common Position (EC N$^{\circ}$/2001) published at the Official Journal of the European Communities of 2. 2. 2001. According to the EC (EC N$^{\circ}$ 6/2001) the feeds material contained in compound feeding stufs intended for animals other than pets must be declared according to their percentage by weight, by descending order of weight and within the following brackets (I :< 30%; II :> 15 to 30%; III :> 5 to 15%; IV : 2% to 5%; V: < 2%). For practical reasons, it shall be allowed that the declarations of feed materials included in the compound feeding stuffs are provided on an ad hoc label or accompanying document. However, documents alone will not be sufficient to restore public confidence on the animal feed industry. The objective of the present work is to obtain calibration equations fur the instanteneous and simultaneous prediction of the chemical composition and the percentage of ingredients of unground compound feeding stuffs. A total of 287 samples of unground compound feeds marketed in Spain were scanned in a FOSS-NIR Systems 6500 monochromator using a rectangular cup with a quartz window (16 $\times$ 3.5 cm). Calibration equations were obtained for the prediction of moisture ($R^2$= 0.84, SECV = 0.54), crude protein ($R^2$= 0.96, SECV = 0.75), fat ($R^2$= 0.86, SECV = 0.54), crude fiber ($R^2$= 0.97, SECV = 0.63) and ashes ($R^2$= 0.86, SECV = 0.83). The sane set of spectroscopic data was used to predict the ingredient composition of the compound feeds. The preliminary results show that NIRS has an excellent ability ($r^2$$\geq$ 0, 9; RPD $\geq$ 3) for the prediction of the percentage of inclusion of alfalfa, sunflower meal, gluten meal, sugar beet pulp, palm meal, poultry meal, total meat meal (meat and bone meal and poultry meal) and whey. Other equations with a good predictive performance ($R^2$$\geq$0, 7; 2$\leq$RPD$\leq$3) were the obtained for the prediction of soya bean meal, corn, molasses, animal fat and lupin meal. The equations obtained for the prediction of other constituents (barley, bran, rice, manioc, meat and bone meal, fish meal, calcium carbonate, ammonium clorure and salt have an accuracy enough to fulfill the requirements layed down by the Common Position (EC Nº 6/2001). NIRS technology should be considered as an essential tool in food Safety Programs.