Beetroot (Beta vulgaris L.) was pulped to get the juice. The juice was given heat treatment. Yoghurt was formulated and flavored with prepared beetroot (Beta vulgaris L.) juice at different concentration levels (...Beetroot (Beta vulgaris L.) was pulped to get the juice. The juice was given heat treatment. Yoghurt was formulated and flavored with prepared beetroot (Beta vulgaris L.) juice at different concentration levels (0, 10, 20, 30, 40 and 50 mL). The most preferred flavored yoghurt samples were obtained by sensory scores (color, flavor, mouth feel, aftertaste and overall acceptability). The most preferred sample was then subjected to proximate, physico-chemical, microbiological and micro-nutrient analysis. The result obtained showed that the pH value ranged between 6.5 and 7.8. Thus, this showed that the product was quite good. However, ash and moisture content increased with addition of the beetroot juice, while micro-nutrient, (Mg, Na, K, Ca and Vitamin C) increased with the addition of the juice. There was no significant difference (P 〉 0.05) in the overall acceptability of all products. There was no coliform and mould growth in all the samples. The best concentration level in the samples was 90 mL of yoghurt and 10 mL of beetroot juice. Therefore, the beetroot flavored yoghurt could be said to be nutritious, safe and an acceptable product by the panelists.展开更多
In this work,an electronic nose was used to evaluate the different cultivars and mature stages of melons,so as to establish a scientific method to accurately distinguish the maturity and varieties of melons. Principal...In this work,an electronic nose was used to evaluate the different cultivars and mature stages of melons,so as to establish a scientific method to accurately distinguish the maturity and varieties of melons. Principal component analysis (PCA) and linear discriminant analysis (LDA ) showed that immature melons could be well distinguished from mature melons using electronic nose. When PCA method was used to analyze,electronic nose could completely classify and identify the maturity of melons. Meanwhile,the electronic nose could distinguish different varieties of melons with high discrimination value. The flavor of samples under cut or no cut conditions would slightly change,leading to the variation of discrimination value among different varieties. The samples with similar flavor under no cut condition could be analyzed through cutting mode. The research built a rapid and accurate method to judge the maturity of melons instead of man sense.展开更多
Ultrasonic backscatter signals from cancellous bone are sensitive to the microstructure of trabecular bone,and thus enable the feasibility to extract microstructural information of trabecular bone.The mean trabecular ...Ultrasonic backscatter signals from cancellous bone are sensitive to the microstructure of trabecular bone,and thus enable the feasibility to extract microstructural information of trabecular bone.The mean trabecular bone spacing(MTBS)is an important parameter for characterizing bone microstructure.This paper proposes an MTBS estimation method based on the combination of Hilbert transform and fundamental frequency estimation(CHF). The CHF was verified with ultrasonic backscatter signals from simulations and in vitro measurements at a central frequency of 5MHz.The CHF method was compared with the simplified inverse filter tracking(SIFT)method,Simons' Quadratic Transformation(QT)method,Singular Spectrum Analysis(SSA)method,and Spectral Autocorrelation(SAC)method.Monte-Carlo simulations were performed by varying the MTBS,signal-to-noise ratio(SNR),standard deviation of regular spacing(SDRS),amplitude ratio of diffuse scattering to regular scattering(Ad)and frequency dependent attenuation(nBUA).The simulation results showed that the CHF method had a better performance in MTBS estimation under almost all the examination conditions except for SNR.The estimation percentage correct(EPC)was greater than 90% when the MTBS was in the range of 0.4to 1.4mm.In the in vitro measurements,the estimated EPC by the CHF method was91.25±7.81%(mean±standard deviation).A significant correlation was observed for the CHF-estimated MTBS and micro-computed tomography(μ-CT)-measured values(R^2=0.75,p<0.01).These results demonstrate that the CHF method is anti-interference for MTBS estimation and can be used to estimate trabecular bone spacing.展开更多
文摘Beetroot (Beta vulgaris L.) was pulped to get the juice. The juice was given heat treatment. Yoghurt was formulated and flavored with prepared beetroot (Beta vulgaris L.) juice at different concentration levels (0, 10, 20, 30, 40 and 50 mL). The most preferred flavored yoghurt samples were obtained by sensory scores (color, flavor, mouth feel, aftertaste and overall acceptability). The most preferred sample was then subjected to proximate, physico-chemical, microbiological and micro-nutrient analysis. The result obtained showed that the pH value ranged between 6.5 and 7.8. Thus, this showed that the product was quite good. However, ash and moisture content increased with addition of the beetroot juice, while micro-nutrient, (Mg, Na, K, Ca and Vitamin C) increased with the addition of the juice. There was no significant difference (P 〉 0.05) in the overall acceptability of all products. There was no coliform and mould growth in all the samples. The best concentration level in the samples was 90 mL of yoghurt and 10 mL of beetroot juice. Therefore, the beetroot flavored yoghurt could be said to be nutritious, safe and an acceptable product by the panelists.
基金Supported by National Natural Science Foundation of China(30870109)
文摘In this work,an electronic nose was used to evaluate the different cultivars and mature stages of melons,so as to establish a scientific method to accurately distinguish the maturity and varieties of melons. Principal component analysis (PCA) and linear discriminant analysis (LDA ) showed that immature melons could be well distinguished from mature melons using electronic nose. When PCA method was used to analyze,electronic nose could completely classify and identify the maturity of melons. Meanwhile,the electronic nose could distinguish different varieties of melons with high discrimination value. The flavor of samples under cut or no cut conditions would slightly change,leading to the variation of discrimination value among different varieties. The samples with similar flavor under no cut condition could be analyzed through cutting mode. The research built a rapid and accurate method to judge the maturity of melons instead of man sense.
基金supported by the NSFC(11327405,11504057&11525416)
文摘Ultrasonic backscatter signals from cancellous bone are sensitive to the microstructure of trabecular bone,and thus enable the feasibility to extract microstructural information of trabecular bone.The mean trabecular bone spacing(MTBS)is an important parameter for characterizing bone microstructure.This paper proposes an MTBS estimation method based on the combination of Hilbert transform and fundamental frequency estimation(CHF). The CHF was verified with ultrasonic backscatter signals from simulations and in vitro measurements at a central frequency of 5MHz.The CHF method was compared with the simplified inverse filter tracking(SIFT)method,Simons' Quadratic Transformation(QT)method,Singular Spectrum Analysis(SSA)method,and Spectral Autocorrelation(SAC)method.Monte-Carlo simulations were performed by varying the MTBS,signal-to-noise ratio(SNR),standard deviation of regular spacing(SDRS),amplitude ratio of diffuse scattering to regular scattering(Ad)and frequency dependent attenuation(nBUA).The simulation results showed that the CHF method had a better performance in MTBS estimation under almost all the examination conditions except for SNR.The estimation percentage correct(EPC)was greater than 90% when the MTBS was in the range of 0.4to 1.4mm.In the in vitro measurements,the estimated EPC by the CHF method was91.25±7.81%(mean±standard deviation).A significant correlation was observed for the CHF-estimated MTBS and micro-computed tomography(μ-CT)-measured values(R^2=0.75,p<0.01).These results demonstrate that the CHF method is anti-interference for MTBS estimation and can be used to estimate trabecular bone spacing.