Thermosonication as a potential quality enhancement technique of apple juice

Enzymatic browning and microbial growth lead to quality losses in apple products. In the present study, fresh apple juice was thermosonicated using ultrasound in-bath (25 kHz, 30 min, 0.06 W cm⁻³) and ultrasound with-probe sonicator (20 kHz, 5 and 10 min, 0.30 W cm⁻³) at 20, 40 and 60 °C for inactivation of enzymes (polyphenolase, peroxidase and pectinmethylesterase) and microflora (total plate count, yeast and mold). Additionally, ascorbic acid, total phenolics, flavonoids, flavonols, pH, titratable acidity, ^°Brix and color values influenced by thermosonication were investigated. The highest inactivation of enzymes was obtained in ultrasound with-probe at 60 °C for 10 min, and the microbial population was completely inactivated at 60 °C. The retention of ascorbic acid, total phenolics, flavonoids and flavonols were significantly higher in ultrasound with-probe than ultrasound in-bath at 60 °C. These results indicated the usefulness of thermosonication for apple juice processing at low temperature, for enhanced inactivation of enzymes and microorganisms.     

Ultrasonication as an innovative approach to tailor the apple seed proteins into nanosize: Effect on protein structural and functional properties

In this study, protein was extracted from the apple seed flour using alkali-acid precipitation method. The main objective of this study was to evaluate the impact of ultrasonication on structural and techno-functional properties of apple seed protein. Both native (N-protein) and ultra-sonicated protein (US-protein) were characterized for size, zeta potential, structure, protein pattern, crystallinity, thermal stability and functional properties. The results revealed that the hydrodynamic diameter of N-protein and US-protein was 1.2 µm and 484 nm while zeta potential was −11 and −19 mV, respectively. Fourier transform infrared-spectroscopy and X-ray diffraction analysis showed change in the conformational characteristics and functional groups of proteins after nano-reduction. SEM revealed change in the surface morphology of protein molecule upon ultrasonication. Differential scanning calorimetry showed decreased denaturation temperature for US-protein compared to N-protein . SDS-PAGE depicted no change in protein pattern upon ultrasonication. Ultrasonicated protein exhibited increased functional properties like emulsification, foaming, hydrophobicity and oil absorbing properties and hence can be efficiently used as functional ingredient in food and nutraceutical industry.     

稳定同位素比质谱法测定苹果和浓缩苹果汁的δ13C值

用从国际原子能机构溯源得到的橄榄油标准物质[Cat No.B 2172-Batch 3130,其δ13CPDB为(-28.51±0.16)‰]作标准,应用稳定同位素比质谱法测定了苹果和苹果汁的δ13 C值,并以此确定国产苹果的δ13 C值的范围和鉴定制成的果汁的质量。苹果样品去皮后切碎,打成糊状,离心后取其上清液,在75℃加热2～3h至呈黏稠状液体,冷却至室温。此时其糖度约为70Brix。浓缩苹果汁样品是黏稠液体,其糖度一般也在70Brix左右。取2μL上述样品置于锡杯中,按方法处理后供质谱分析。标准物质的进样量为2μL。按所测得碳的稳定同位素13C与12C的比值代入所给公式计算δ13 C值。结果表明:方法的精密度较好,其相对标准偏差(n=11)均小于0.021%。根据测定结果发现,我国苹果的δ13C值在-29.1‰～-23.33‰之间。     

便携式近红外光谱仪的苹果糖度模型温度修正

样品温度对近红外光谱有很大影响,在近红外技术评价水果品质的实际应用时,需要修正温度变化对模型预测结果的影响。便携式近红外光谱仪采集不同温度下(0～30℃)苹果的漫透射光谱,采用二阶导数和卷积平滑进行预处理。选取20℃下代表性样本的光谱数据,建立基准PLS模型。斜率/偏差法分别计算苹果糖度PLS模型在0,10和30℃下的修正方程。分析结果表明:斜率/偏差法对0,10和30℃下外部样本预测结果进行修正,预测精度得到显著提高,其修正前后的Q值分别为0.525cv 0.810,0.680cv0.822,0.669cv 0.802。温度修正模型可以有效提高预测精度,也扩展了近红外仪器的适用性,为自主研发便携式近红外光谱仪提供参考。     

苹果树叶片叶绿素含量高光谱估测模型研究

叶片叶绿素含量是评估果树长势和产量的重要参数,实现快速、无损、精确的叶绿素含量估测具有重要意义。本研究以山东农业大学苹果园为试验区,采用高光谱分析技术探索苹果树叶片叶绿素含量的估测方法。通过分析叶片高光谱曲线特征,对原始光谱分别进行一阶微分、红边位置以及叶面叶绿素指数(LCI)变换,分别将其与叶绿素含量进行相关分析及回归分析,建立叶绿素含量估测模型并进行检验,从中筛选出精度最高的模型。结果显示,以LCI为变量的估测模型以及以一阶微分521和523nm组合为变量的估测模型拟合精度最高,决定系数R2分别为0.845和0.839,均方根误差RMSE分别为2.961和2.719,相对误差RE%分别为4.71%和4.70%。因此LCI及一阶微分是估测苹果树叶片叶绿素含量的重要指标。该模型对指导苹果树栽培生产具有积极意义。     

气相色谱-质谱法测定浓缩苹果汁中丁酰肼残留量

采用在碱性条件下将样品中丁酰肼水解为不对称二甲基联氨,再用水杨醛与之发生衍生化反应的前处理方法,建立了浓缩苹果汁中丁酰肼残留量的气相色谱-质谱(GC-MS)测定方法。以丁酰肼浓度对峰面积作图得校正曲线,回归方程为y=100 211x-11 156(r=0.999 6),检出限(3S/N)为0.01 mg.kg-1,测定结果的相对标准偏差为1.60%~6.23%,回收率为92%~107%。     

全透射近红外光谱的苹果整果糖度在线检测模型优化

光谱质量、样本个体差异、检测系统和建模算法等多种因素共同决定水果糖度检测模型的预测精度和稳定性。采用自主研发的短积分全透射近红外在线检测系统以5 ms积分时间和0.5 m·s-1运行速度在线获取了“富士”苹果全透射光谱信号。不同姿态获取的透射光谱强度差异明显,但曲线走势相近,均在920 nm波段具有最大的光谱强度,在850 nm波段存在波谷。采用移动平均平滑、标准正态变量变换和多元散射校正等预处理方法有效去除原始光谱的随机噪声和基线偏差,减小了样本检测姿态引起的光谱差异。为分析不同检测姿态对苹果整果糖度预测模型的影响,构建了单一姿态局限模型和多姿态通用模型,结果表明基于全位点平均透射光谱构建的单一姿态局限模型对检测姿态具有很大的局限性,而多姿态通用模型预测能力较单一检测姿态相当,但却对不同的检测姿态具有更强的适用能力。为进一步提高光谱信号质量,优化模型预测能力,采用信号强度阈值优选方法实现了苹果整果糖度预测模型优化,发现移除中央位点获取的透射光谱信号,有利于提高苹果整果糖度预测模型精度。多姿态通用信号强度优化模型综合考虑不同姿态获取的光谱信息有效性,有效提升了通用信号强度优化模型的预测能力和稳定性,当多姿态通用模型中信号强度阈值为5 000时,模型预测性能最佳,其预测参数R_p,RMSEP和RPD分别为0.79,0.84%和1.58。表明短积分全透射近红外在线检测系统用于不同姿态苹果糖度预测是可行的,多姿态通用模型的建立,扩大了模型在不同姿态的预测稳健性,短积分光谱采集方式结合信号强度阈值优选方法提升了光谱信号的质量和模型的预测能力。     

System design and control of an apple harvesting robot

There is a growing need for robotic apple harvesting due to decreasing availability and rising cost in labor. Towards the goal of developing a viable robotic system for apple harvesting, this paper presents synergistic mechatronic design and motion control of a robotic apple harvesting prototype, which lays a critical foundation for future advancements. Specifically, we develop a deep learning-based fruit detection and localization system using a RGB-D camera. A three degree-of-freedom manipulator is designed with a hybrid pneumatic/motor actuation mechanism to achieve dexterous movements. A vacuum-based end-effector is used for apple detaching. These three components are integrated into a robotic apple harvesting prototype with simplicity, compactness, and robustness. Moreover, a nonlinear control scheme is developed for the manipulator to achieve accurate and agile motion control. Field experiments are conducted to demonstrate the performance of the developed apple harvesting robot.     

DSX-SA08磁盘阵列

DSX—SA08磁盘阵列是北京中恒兴业科技集团有限公司推出的基于SCSItoSATA架构的高性能磁盘阵列系统。它以2U高度标准机架式的机箱．容纳了8个硬盘位，迎合了当今高端用户大容量、高扩展的需要；强大的64位RISC架构中央处理器，铸造了业界领先的高性能，全模块化冗余设计，便于维护，保证了整个磁盘阵列系统的稳定性和高可用性。