育珠期三角帆蚌的生长及其与珍珠增长的关系

通过对三角帆蚌壳长、壳宽、蚌总重（整体湿重）、内脏团湿重、壳重和珍珠重等指标在5-11月间的逐月连续测定,研究了常规养殖模式下育珠期2龄三角帆蚌在主要生长季节的生长规律及其与珍珠生长的相关性。结果表明：珍珠重(PW)与壳长(SL)、壳宽(SW)的关系分别为PW=0.0008SL3.3946 (R2=0.6948)和PW=0.7809SW1.0227 (R2=0.6888);而珍珠重(PW)与蚌重(TW)、内脏团重(BW)和壳重(W)的关系分别为PW=0.0021TW1.5434 (R2=0.7337),PW=0.107BW0.9125 (R2=0.7158)和PW=0.0324W1.1259 (R2=0.7101);三角帆蚌总重(TW)与壳长(SL)、 壳宽(SW)的关系最适合用指数函数进行拟合,其关系式分别为TW=16.003e0.1681SL,(R2=0.7961),和TW=64.311e0.1372SW (R2=0.6822);而内脏团重(BW)和壳重(W)与壳长(SL)、壳宽(SW)的关系则适合为幂函数曲线拟合,关系式分别为BW=0.0188SL3.1427,(R2=0.6927);W=0.0656SL2.7721, (R2=0.8271)和BW=12.446SW0.8974 (R2=0.617);W=19.876SW0.802 (R2=0.7563)。本研究结果发现,珍珠生长与蚌总重、壳长和壳宽等外部测量指标之间的相关性显著,从而无须通过杀蚌取珠而直接通过这些外部生长指标的测定就能较好地了解珍珠的生长,更好地为珍珠养殖生产和管理提供指导。     

灌溉水矿化度及盐分带入量对小麦相对产量影响的统计分析

在搜集、统计大量咸水灌溉试验资料的基础上,选取咸水充分灌溉条件下矿化度和小麦产量的完整对应数据103组,统计分析了灌溉水矿化度及单位面积盐分带入量对小麦相对产量的影响,结果表明,随着灌溉水矿化度的增加,小麦相对产量呈线性递减趋势,当矿化度大于1.0 g/L时,灌溉水矿化度每增加1 g/L,小麦减产约5.6%;与矿化度类似,随着单位面积盐分带入量的增加,小麦的相对产量也线性降低,盐分带入量每增加1000 kg/hm2,小麦的产量将减少约2%。进一步的检验结果显示,应用灌溉水矿化度及单位面积盐分带入量均可较为可靠地估算小麦的相对产量,估算相对误差基本可控制在16%以内。     

Mutualism between euryhaline tilapia Sarotherodon melanotheron heudelotii and Chlorella sp.—Implications for nano-algal production in warmwater phytoplankton-based recirculating systems

The West-African euryhaline tilapia, Sarotherodon melanotheron heudelotii shift from visually feeding on zooplankton when juveniles to mostly filter feeding on phytoplankton when adults. When reared using an appropriate ration in intensive aquaculture systems, S. m. heudelotii also consume algal-based detritus, and contribute to sediment mineralization, clean up their environment, and ultimately stimulate and sustain algal growth. We analysed such practical advantages for phytoplankton-based recirculating systems, using S. m. heudelotii and Chlorella sp. as biological material originating from the prototype of such a system operated in Senegal. We performed a 24-h factorial design experiment in 36 tubs, cross-classifying three levels of S. m. heudelotii (fishless control, unfed fish, and fed fish) with four levels of Chlorella initial density.Chlorella overall mean density increased significantly from fishless, to unfed fish, and fed fish treatments, and with Chlorella initial density. S. m. heudelotii did not alter nitrogen nor phosphorus concentrations, only affected by algal initial densities. Most ammonia excreted by fish was probably uptaken by Chlorella. Bacteria-mediated diurnal nitrification was possibly an alternative ammonium loss mechanism at highest oxygen concentrations. Algae were not limited by nitrogen or phosphorus but most likely by low dissolved organic carbon availability. Chlorella differential responses with fed vs. unfed Sarotherodon suggest that CO₂ supplied by heterotrophic S. m. heudelotii respiration played a key role. Observed Chlorella growth rates were similar to the highest rates obtained in algal mass cultures, enriched with CO₂, nitrate and phosphate, under artificial lighting.Our results suggest the existence of a Sarotherodon-Chlorella mutualism in our systems, where S. m. heudelotii provide CO₂, the major limiting factor of Chlorella growth, whereas Chlorella oxygenate and detoxify the water media from ammonia, promoting S. m. heudelotii production. This mutualism could be used to optimize photosynthetic suspended-growth aquaculture systems, particularly in the Tropics where light is abundant and temperature is continuously high.     

香蕉中噻唑膦残留分析方法研究

建立香蕉中噻唑膦的超高效液相色谱串联质谱法(UPLC-MS/MS)残留测定方法。香蕉样品采用乙腈提取和PSA+C18分散固相萃取,采用UPLC-MS/MS多反应模式(MRM)进行分析测定。噻唑膦在添加水平0.01~1.0 mg/kg范围内,平均回收率为94.3%~107.5%,相对标准偏差为7.9%~11.0%。采用外标法定量,方法的检出限为0.001μg/m L,定量限为0.005 mg/kg。该方法简单、准确、重复性较好且节省溶剂,适用于香蕉中噻唑膦的残留检测。     

Preliminary study of patients with chronic mountain sickness by GC-TOF-MS based serum metabolomics analysis

AIM: To evaluate specific metabolomics profiles in the serum of patients with chronic mountain sickness (CMS) and to explore the potential metabolic biomarkers in the native Tibetans living on the Qinghai-Tibet Pla-teau.METHODS: A gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) approach as a metabolomics technique was used to evaluate metabolic differences. The native Tibetan CMS patients (n=10) and healthy Tibetan controls (n=10) were enrolled from YuShu in Qinghai province in this study. The serum samples were collected and analyzed by GC-TOF-MS coupled with a series of multivariate statistical analyses such as principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA).RESULTS: The intergroup differences between CMS patients and control subjects have been observed. A list of differential metabolites and several top altered metabolic pathways have been identified. The levels of fumaric acid, an intermediate in the tricarboxylic acid (TCA) cycle, and inosine were highly upregulated in the CMS patients, suggesting a greater effort to hypoxic adaptation in high elevation area. Other differential metabolites, such as methyl phosphate, 2-ketoadipate, lyxose and phytanic acid were also identified. Importantly, the differential metabolites possessed higher area under the ROC curve (AUC) values, indicating an excellent clinical ability for the prediction of CMS. Increased levels of amino acids (isoleucine, glycine, serine, L-cysteine, citrulline and trimethyllysine) were detected in CMS group, yet significantly decreased levels of sulfuric acid, oxamic acid, lyxose and glutamine were also detected in CMS group than those in control group. At the same time, the levels of ribose and glucose-1-phosphate were markedly elevated in CMS group (P<0.05).CONCLUSION: The metabolic activities are significantly altered in the serum of CMS patients. High altitude hypoxia may act on the disturbed glucose metabolism and amino acid metabolism in part of the Tibetan triggered by CMS.     

Disulphide structure of high-molecular-weight (HMW-) gliadins as affected by terminators

This study aimed at elucidating SS-bonds of HMW-gliadins (HGL) from wheat with the focus on terminators of glutenin polymerisation. HGL from wheat flour extracts non-treated or treated with the S-alkylation reagent N-ethylmaleinimide (NEMI) were compared. HGL from wheat flour Akteur were isolated, hydrolysed with thermolysin and the resulting peptides pre-separated by gel permeation chromatography and analysed by liquid chromatography/mass-spectrometry using alternating electron transfer dissociation/collision-induced dissociation. Altogether, 22 and 28 SS-peptides from samples without and with NEMI treatment, respectively, were identified. Twenty-six peptides included standard SS-bonds of α- and γ-gliadins, high-molecular-weight and low-molecular-weight glutenin subunits. Eleven SS-bonds were identified for the first time. Fifteen peptides unique to HGL contained cysteine residues from gliadins with an odd number of cysteines (ω5-, α- and γ-gliadins). Thus, gliadins with an odd number of cysteines, glutathione and cysteine had acted as terminators of glutenin polymerisation. Decisive differences between samples without and with NEMI treatment were not obvious showing that the termination of polymerisation was already completed in the flour. The two HGL samples, however, were different in the majority of ten peptides that included disulphide-linked low-molecular-weight (LMW) thiols such as glutathione and cysteine with the former being enriched in the non-treated HGL-sample.     

快速滤过型净化法结合高效液相色谱-串联质谱同时检测人参中的5种农药残留

基于人参样品基质特点,采用快速滤过型净化法 (m-PFC) 结合高效液相色谱-串联质谱 (HPLC-MS/MS),建立了人参中嘧菌酯、苯醚甲环唑、吡虫啉、茚虫威和噻嗪酮5种农药残留同时检测的分析方法。该方法具有较低的检出限 (0.03~0.18 μg/kg) 和定量限 (0.11~0.59 μg/kg),其定量限较中国国家标准GB 2763—2016中规定的对人参中苯醚甲环唑和嘧菌酯的最大残留限量 (MRL) (0.5~1 mg/kg) 低3个数量级,5种农药的线性范围在1~500 μg/L之间。在2、10、50、100和300 μg/kg的添加水平下,方法的平均回收率均在76%~115%之间,相对标准偏差 (RSD) 均小于11%,回收率较好且方法稳定。与传统样品前处理方法相比,该方法具有操作简单、省时省力和灵敏度高等优点。将该方法应用于市售6份人参样品中5种农药残留的检测,结果未检出相应的农药残留。该方法为研发建立更快速、准确地检测人参中农药残留的方法提供了思路,也为后续中国国家标准修订人参中农药最大残留限量提供了参考。     

基于云计算技术和3D渲染的农机虚拟制造技术研究

为了提高农机现代化和批量化生产效率,实现基于个性化需求农机设计和制造,提出了面向机加工的云技术农机制造服务候选资源的发现方法,并设计了农机虚拟制造的云计算平台。在农机部件云制造虚拟平台中,首先利用云存储技术存放大量的候选制造企业资源样本数据,然后利用智能分类算法KNN对候选资源进行分类,根据农机部件制造需求的客户对候选资源进行优选,最后得到最佳的候选资源。基于云计算和3D渲染技术,构建了面向工序级和零件级服务的仿真环境,并通过仿真实验,得到了优选后服务方的服务时间、费用和合格率,为现代农机的批量生产和个性化加工服务提供了新的解决方案。