In this study, soy-powder yogurt (SPY) with enhanced levels of γ-aminobutyric acid (GABA) and isoflavone aglycone was produced from sprouting high-protein soybeans (HPSs). The fermented steam-HPS sprouts (0 to 4 cm) were fermented (72 h) with Lactobacillus brevis, and the total free amino acids (FAAs) of the formed mixtures were determined to be 79.53, 489.93, 877.55, 780.53, and 979.97 mg/100 mL in the fermented HPS (FHPS), and the fermented steam-HPS with 0 cm (FSHPS-0), 1 cm (FSHPS-1), 2 cm (FSHPS-2), and 4 cm sprouting lengths (FSHPS-4), respectively. The levels of glutamic acid (GA) and GABA were observed to be the highest, 100.31 and 101.60 mg/100 mL, respectively, in the unfermented HPS (UFSHPS-1, 1 cm) and FSHPS-1 sprouts, respectively. Moreover, the total contents of the isoflavone glycoside form decreased proportionally to the increasing total levels of isoflavone aglycones after fermentation in FSHPS-0, FSHPS-1, FSHPS-2, and FSHPS-4. The levels of isoflavone aglycones were detected as 350.34, 289.15, 361.61, 445.05, and 491.25 μg/g in FHPS, FSHPS-0, FSHPS-1, FSHPS-2, and FSHPS-4, respectively. While FSHPS-1 exhibited the highest DPPH (63.28%) and ABTS (73.28%) radical scavenging activities, FSHPS-4 contained the highest isoflavone aglycone ratio (81.63%). All in all, the FSHPS-1 mixture prepared in this study exhibited high GABA content and functional prosperity, thereby making it suitable for potential applications in the soy-dairy industry.

‘새단백’은 고단백 다수성 콩 신품종육성을 목표로 ‘보광콩’과 ‘수원193호’를 교배한 계통을 다시 단백질 고함유자원인 ‘MD87L’을 모본으로 하여 1999년에 교배하여 계통육종법으로 육성한 품종으로 2010년 12월 농작물직무육성신품종선정위원회에서 국가목록등재품종으로 선정됨과 동시에 ‘새단백’으로 명명하였다. ‘새단백’의 개화기는 ‘대원콩’보다 3일 늦으며, 성숙기는 10월 5일경으로 7일 빨라 등숙기간이 10일 정도 더 짧다. 경장은 64 cm로 ‘대원콩’보다 다소 작으며 도복에 강하고 불마름병에 저항성이며 바이러스와 종자병해에 강하였으나 뿌리썩음병에는 약한 편이었다. 조단백 함량은 ‘대원콩’보다 8.9% 높은 고단백 품종으로, ‘단백콩’보다 연차간 단백질 함량의 변이가 적고, 두부수율과 순두부응고력이 높으며 두부의 물성이 양호하여 두부 가공적성이 우수하다. ‘새단백’의 종실 100립중은 20.7 g으로 ‘대원콩’보다 약 4 g 가벼우나 ‘단백콩’보다 5.7 g 무거운 중립종이며, 수량성은 2.53 MT/ha로 표준품종인 ‘대원콩’에 비해 9% 감소하였으나 ‘단백콩’과는 비슷하였다.

The protein in soybean seeds accounts for approximately 40% of the dry seed weight. Two major storage proteins, 7S and 11S, constitute 70-80% of the total storage proteins in the seeds. In this study, the variation of total soluble protein extracts from 1152 soybean landraces that have been collected from South Korea were studied using high-throughput screening method with HT Protein Express Labchip (Caliper Life Sciences, Inc.). Seven distinct protein band patterns - four protein sub-units of 11S and three sub-units of 7S, were taken into account and their presence or absence were analyzed. Among the 1152 landraces, 525 genotypes were identified as lacking lipoxygenase, 255 lacking α1 subunit, 680 lacking α subunit, 169 lacking β subunit, 140 lacking acidic, 114 lacking Kunitz Trypsin Inhibitor (KTi) and 199 lacking basic protein patterns. The high-throughput protein analysis is helpful in screening a large number of populations with less time and minimum labor. The selected genotypes with low amounts or lacking of anti-nutritional factors such as trypsin inhibitor, lipoxygenase and α subunit would be used for future breeding purpose of quality improvement in soybean protein.

The applicability of non-destructive near infrared reflectance spectroscopic (NIRS) method was tested to determine the protein and oil contents of intact soybean [Glycine max (L.) Merr.] seeds. A total of 198 soybean calibration samples and 101 validation samples were used for NIRS equation development and validation, respectively. In the developed non-destructive NIRS equation for analysis of protein and oil contents, the most accurate equation was obtained at 2, 8, 6, 1(2nd derivative, 8 nm gap, 6 points smoothing, and 1 point second smoothing) and 2, 1, 20, 10 math treatment conditions with Standard Normal Variate and Detrend (SNVD) scatter correction method and entire spectrum (400-2500 nm) by using Modified Partial Least Squares (MPLS) regression, respectively. Validation of these non-destructive NIRS equations showed very low bias (protein: 0.060%, oil: -0.017%) and standard error of prediction (SEP, protein: 0.568 %, oil : 0.451 %) as well as high coefficient of determination (R2 , protein: 0.927, oil: 0.906). Therefore, these non-destructive NIRS equations can be applicable and reliable for determination of protein and oil content of intact soybean seeds, and non-destructive NIRS method could be used as a mass screening technique for selection of high protein and oil soybean in breeding programs