Nondestructive testing of external defects on Nanguo pear

In view of the common pests and diseases and irregularly shaped fruits of Nanguo pear, this paper fused the spectral information and image features to realize the rapid nondestructive testing and recognition of the external defects on Nanguo pear by hyperspectral imaging technology. Backpropagation neural network and support vector machine model was established to identify external defects, which are commonly used in classification and pattern recognition. The testing results show that recognition effect of support vector machine is better than backpropagation neural network. Among them, the recognition accuracy of fruits damaged by insects and rotten fruits of Nanguo pears reaches 100%. This study provides a theoretical basis for developing online grading system and quality detection of Nanguo pear based on multispectral imaging technique.     

基于高光谱图像技术与迁移学习的水晶梨早期损伤检测

梨在储藏、包装和运输等过程中均可能发生不同程度的机械损伤,若不及时剔除损伤梨,损伤可能会逐渐严重而演变成腐烂,造成严重的经济损失。为建立一种梨早期损伤检测及损伤时间评估的快速、无损检测方法,采用高光谱图像结合迁移学习模型对损伤早期水晶梨进行识别。以无损伤、挤压损伤24 h和挤压损伤48 h的水晶梨为研究对象,应用高光谱成像系统采集样品的高光谱图像,共获取无损伤、挤压损伤24 h和挤压损伤48 h的水晶梨高光谱图像各80帧。对高光谱图像进行主成分分析,选择主成分图像4,5,6（PC4,PC5,PC6）作为检测水晶梨损伤的特征图像,将3个主成分图像拼接后进行数据扩充共得到无损伤、挤压损伤24 h和挤压损伤48 h的特征图像各160帧。按照9∶1比例划分样本训练集和测试集后,分别建立了支持向量机（SVM）、k-近邻（k-NN）和基于ResNet50网络的迁移学习损伤识别模型。SVM、k-NN和基于ResNet50网络的迁移学习模型对测试集样本总体识别准确率分别为83.33%,85.42%和93.75%,基于ResNet50网络的迁移学习模型识别效果最佳,其对测试集中无损伤、挤压损伤24 h和挤压损伤48 h的样本正确识别率分别达到100%,83%和95%。该研究结果表明,高光谱图像技术结合基于ResNet50网络的迁移学习模型可实现水晶梨早期损伤检测,并对损伤时间有较好的预测效果,且损伤时间越长,识别准确率越高。     

质谱法研究鸭梨最佳施肥期肥料N的平衡及其效应

本实验利用质谱法探讨鸭梨最佳施肥期肥料N的平衡及其效应。数据分析表明,秋施肥较春施和夏施有利于植株吸收更多的肥料N;促进树体间的协调生长;能够最有效地提高土壤的供肥能力对于肥料N的损失最少。从秋施、春施、夏施三个施肥期的综合效果看,梨树施肥应以秋施为主、春施为辅。     

Microwave assisted synthesis of the fragrant compound Calone 1951

Calone 1951^®, 7-methyl-benzo[b][1,4]dioxepin-3-one, possesses a strong marine, ozone note with floral nuances and is synthesised via a three-step procedure using microwave irradiation. High yields were obtained, and reaction times reduced to a few minutes, allowing for an efficient and inexpensive synthesis of Calone 1951^®.     

梨醋半成品的超滤处理

用截留分子量不同的中空纤维超滤膜组件对梨醋半成品进行了处理.结果表明,使用截留分子量为1万的中空纤维超滤膜组件,在0.1 MPa压力差和室温下,将梨醋半成品超滤5 h,透过通量基本恒定在6 L/(m2.h).梨醋经过超滤,酸度保留率可达97.4%,糖度保留率88.3%,且风味不变,澄清透明,放置13个月无沉淀物.     

Micromorphology of cactus-pear (Opuntia ficus-indica (L.) Mill) cladodes based on scanning microscopies

Cladode ultrastructural features of two prickly and two spineless Opuntia ficus-indica cultivars were examined using environmental scanning electron and atomic force microscopies. Observations focused on cladode as well as spine and glochid surface micromorphologies. Prickly cultivars were characterized by abundant cracked epicuticular wax deposits covering the cladode surface, with an amorphous structure as observed by AFM, while less abundant waxy plates were observed by ESEM on spineless cultivar cladodes. Further AFM observations allowed a rough granular and crystalloid epicuticular wax structure to be distinguished in spineless cultivars. Regarding spine micromorphology, prickly cultivars had strong persistent spines, observed by ESEM as a compact arrangement of oblong epidermal cells with a rough granular structure. However, deciduous spines in spineless cultivars had a broken transversely fissured epidermis covering a parallel arrangement of fibres. Through AFM, the deciduous spine surface presented an irregular hilly and smooth microrelief while persistent spines exhibited rough helical filamentous prints.ESEM and AFM studies of cladode surfaces from prickly and spineless cactus pear cultivars revealed valuable micro-morphological details that ought to be extended to a large number of O. ficus-indica cultivars.     

Valorization of Bio-Residues from the Processing of Main Portuguese Fruit Crops: From Discarded Waste to Health Promoting Compounds

Food processing generates a large amount of bio-residues, which have become the focus of different studies aimed at valorizing this low-cost source of bioactive compounds. High fruit consumption is associated with beneficial health effects and, therefore, bio-waste and its constituents arouse therapeutic interest. The present work focuses on the main Portuguese fruit crops and revises (i) the chemical constituents of apple, orange, and pear pomace as potential sources of functional/bioactive compounds; (ii) the bioactive evidence and potential therapeutic use of bio-waste generated in the processing of the main Portuguese fruit crops; and (iii) potential applications in the food, nutraceutical, pharmaceutical, and cosmetics industries. The current evidence of the effect of these bio-residues as antioxidant, anti-inflammatory, and antimicrobial agents is also summarized. Conclusions of the revised data are that these bio-wastes hold great potential to be employed in specific nutritional and pharmaceutical applications.     

Optimized prediction of sugar content in ‘Snow’ pear using near-infrared diffuse reflectance spectroscopy combined with chemometrics

In near-infrared spectroscopy applications, the original spectra often contain redundant information, which will seriously affect the performance of chemometric models. Therefore, preprocessing, effective wavelengths selection, and appropriate regression models are essential. The objective of this study was to optimize the nondestructive determination multivariate calibration model of sugar content in ‘Snow’ pears, using near-infrared diffuse reflectance spectroscopy combined with chemometrics. All data (sugar content reference values and spectra data) from three measuring positions (P1, P2, and P3, marked around the pear’s equator at angular distances of approximately 120°) were divided into four grouped datasets, namely Set-1 (P1), Set-2 (P2), Set-3 (P3), and Set-4 (average of the three measuring positions). All subsequent optimized processes were performed based on each grouped dataset. First, different preprocessing methods were tested and an optimal method was determined. Then, synergy interval partial least squares and synergy interval partial least squares-competitive adaptive reweighted sampling were applied to select effective regions and effective wavelengths from all wavelengths, respectively, and partial least squares regression models were established and analyzed. In addition, support vector regression models were also established for comparative study. After comprehensive analysis of prediction accuracy and model complexity, the partial least squares regression model based on the 16 selected effective wavelengths for Set-4 was optimal, with the correlation coefficient for prediction, root-mean-square error of prediction, and residual predictive deviation of 0.9701, 0.2311, and 4.12, respectively. The results indicated that with these optimized processes, the multivariate calibration model of sugar content in ‘Snow’ pears was effectively optimized for each dataset. In addition, it is concluded that partial least squares regression was superior to support vector regression in this study, although some other researches had found different results in related fields.     

新疆木垒香阿魏成分提取及分析

超临界CO2流体萃取、溶剂二氯甲烷和水蒸气蒸馏等不同方法对新疆木垒香阿魏根进行提取,气相色谱-质谱联用分析比较其中成分;从该种植物中共得到42个峰,其中鉴定出28个化合物;三种方法中超临界CO2流体萃取方法优于传统方法,三者中主要挥发性成分愈创木醇的含量都很高。     

超高压处理对多酚氧化酶活性的影响

 研究了超高压中温协同处理对砀山梨汁中多酚氧化酶活性的影响,实验压力为0.1~500 MPa,温度为20~60 ℃。此外,考察了不同pH值（3~7）和保压时间（2~34 min）超高压处理对酶活性的影响。实验结果分析表明：在处理温度为50 ℃、保压时间为10 min和梨汁pH值为5的条件下,200~300 MPa处理梨汁时多酚氧化酶被激活,活性表现最高;500 MPa时酶的活性下降到75.3%。协同温度为30 ℃处理梨汁时,酶的活性反而增大;30 ℃以后,酶活性随温度升高而迅速降低;有效协同高压处理的温度为40 ℃。随着保压时间的延长,梨汁中过氧化物酶的活性减小;18 min以前下降速度较快些,之后下降速度变缓。pH在5~6之间,酶的残留活性最大;pH值为6时,梨汁中多酚氧化酶最为耐压。