摘要：【中文】本发明实施例提供一种植物盐碱胁迫程度检测方法及装置，该方法包括：获取待检测植物的近红外光谱数据；对所述近红外光谱数据中的多个特征波长进行特征提取，得到每个特征波长的特征数据；将每个特征波长的特征数据，输入至预设的径向基神经网络模型，根据所述径向基神经网络模型的输出结果，确定待检测植物的盐碱胁迫程度；其中，所述径向基神经网络模型为，根据已知盐碱胁迫程度作为标签的近红外光谱数据样本，进行训练后得到。与目前的方法相比，该方法无需借助过多的测量设备，仅需获取近红外光谱数据，从而也不会损坏冠层叶片。同时，通过训练好的神经网络,能够简便、高效和准确的地检测盐碱胁迫程度。 【EN】The embodiment of the invention provides a method and a device for detecting the saline-alkali stress degree of plants, wherein the method comprises the following steps: acquiring near infrared spectrum data of a plant to be detected; performing characteristic extraction on a plurality of characteristic wavelengths in the near infrared spectrum data to obtain characteristic data of each characteristic wavelength; inputting the characteristic data of each characteristic wavelength into a preset radial basis function neural network model, and determining the saline-alkali stress degree of the plant to be detected according to the output result of the radial basis function neural network model; the radial basis function neural network model is obtained by training according to a near infrared spectrum data sample with known saline-alkali stress degree as a label. Compared with the existing method, the method only needs to acquire near infrared spectrum data without using excessive measuring equipment, so that the canopy blade cannot be damaged. Meanwhile, the saline-alkali stress degree can be simply, efficiently and accurately detected through the trained neural network.

摘要：【中文】本发明涉及检测设备技术领域，具体来说是一种农药残留检测仪，包括预处理箱、测样组件和底座，预处理箱内设置有混合槽及粉碎槽，预处理箱的侧壁内设有取样管，取样管内设置有第一滤网，第一滤网上设置有第一粉碎器；混合槽与取样管贯通连接，流通管上设置有水泵，水泵与混合槽之间的流通管上设置有第一三通阀，第一三通阀与粉碎槽贯通连接，粉碎槽内设置有第二滤网，第二滤网上设置有第二粉碎器，粉碎槽与混合槽贯通连接，预处理箱的侧壁上设置有清洗连接口。本发明不仅实现农药的检测，而且实现了在农药检测前的预处理，且能够通过简便方法将农药残留检测仪进行清洗并进行多次检测。 【EN】The invention relates to the technical field of detection equipment, in particular to a pesticide residue detector which comprises a pretreatment box, a sample measuring assembly and a base, wherein a mixing tank and a crushing tank are arranged in the pretreatment box; mixing tank and sampling tube through connection are provided with the water pump on the runner pipe, are provided with first three-way valve on the runner pipe between water pump and the mixing tank, and first three-way valve and crushing tank through connection are provided with the second filter screen in crushing the inslot, are provided with the second grinder on the second filter screen, and crushing tank and mixing tank through connection are provided with the washing connector on the lateral wall of preliminary treatment case. The invention not only realizes the detection of the pesticide, but also realizes the pretreatment before the detection of the pesticide, and can clean the pesticide residue detector and carry out multiple detections by a simple method.

摘要：【中文】本发明公开了一种杂粮中重金属镉含量的风险评估方法，包括以下步骤：(1)将待评估杂粮样本进行预处理；(2)对杂粮样本中重金属镉的含量进行检测；(3)运用危害指数法对检测的数据进行健康风险评估；(4)应用风险评估软件对检测的数据进行拟合，对杂粮中重金属镉含量暴露浓度进行评估。本发明提供了一种杂粮中重金属镉含量的风险评估方法，从黑龙江部分地区选取了红豆、绿豆、小米三种杂粮为代表，以了解重金属镉的含量并且对其进行暴露评估，以明确黑龙江地区杂粮中重金属对人体的健康是否存在潜在的危害。 【EN】The invention discloses a risk assessment method for heavy metal cadmium content in coarse cereals, which comprises the following steps: (1) preprocessing a coarse cereal sample to be evaluated; (2) detecting the content of heavy metal cadmium in the coarse cereal sample; (3) carrying out health risk assessment on the detected data by using a hazard index method; (4) and fitting the detected data by using risk evaluation software, and evaluating the exposure concentration of the heavy metal cadmium content in the coarse cereals. The invention provides a risk assessment method for the content of heavy metal cadmium in coarse cereals, which selects red beans, mung beans and millet as representatives from the Heilongjiang part area to know the content of heavy metal cadmium and perform exposure assessment on the contents so as to determine whether the heavy metal in the Heilongjiang part coarse cereals has potential harm to the health of human bodies.

摘要：【中文】本发明公开了一株产辅酶Q10的类球红细菌突变株及发酵产辅酶Q10方法，该突变株命名为Rhodobacter sphaeroides YLL‑13‑T，保藏编号为CGMCC No.18983，所述突变菌株具有更高生长速率和辅酶Q10产率，在所优化的培养基及培养条件下，突变菌株生物量、辅酶Q10产量和辅酶Q10产率分比出发菌株分别提高了12.3％、42.5％和23.6％，具有广泛的应用前景。 【EN】The invention discloses a Rhodobacter sphaeroides mutant strain for producing coenzyme Q10 and a method for producing coenzyme Q10 by fermentation, wherein the mutant strain is named as Rhodobacter sphaeroides YLL-13-T with the preservation number of CGMCC No.18983, the mutant strain has higher growth rate and coenzyme Q10 yield, and under the optimized culture medium and culture conditions, the biomass of the mutant strain, the coenzyme Q10 yield and the coenzyme Q10 yield are respectively improved by 12.3%, 42.5% and 23.6% compared with the original strain, so that the Rhodobacter sphaeroides mutant strain has wide application prospect.

摘要：【中文】本发明的一种大米食味品质近红外光谱快速评价方法是利用近红外光谱进行食品检测的方法，先对采集的样本进行处理后，将近红外漫反射光谱作为原始光谱，对光谱进行预处理，再基于竞争自适应重加权采样算法对近红外光谱特征波长初步优选后、基于量子遗传模拟退火算法的支持向量机参数和近红外光谱特征波长同步优化，得到最佳特征波长；利用最佳特征波长建立回归模型，并对其精度进行评测，快速建立评价模型；对需要测定大米精米进行光谱扫描，并将光谱数据按特征波长输入评价模型后即完成品质评价。本发明应用量子遗传模拟退火算法对支持向量机参数和近红外光谱特征波长进行同步优化，从而有效提高大米食味品质支持向量机回归模型的检测精度和效率。 【EN】The invention relates to a near infrared spectrum rapid evaluation method of rice taste quality, which is a method for food detection by using a near infrared spectrum, and the method comprises the steps of processing a collected sample, preprocessing the spectrum by using the near infrared diffuse reflection spectrum as an original spectrum, preliminarily optimizing the characteristic wavelength of the near infrared spectrum based on a competitive adaptive reweighting sampling algorithm, and synchronously optimizing the parameters of a support vector machine based on a quantum genetic simulation annealing algorithm and the characteristic wavelength of the near infrared spectrum to obtain the optimal characteristic wavelength; establishing a regression model by using the optimal characteristic wavelength, evaluating the precision of the regression model and quickly establishing an evaluation model; and performing spectral scanning on polished rice needing to be measured, and inputting spectral data into an evaluation model according to characteristic wavelengths to finish quality evaluation. The invention uses the quantum genetic simulated annealing algorithm to synchronously optimize the parameters of the support vector machine and the characteristic wavelength of the near infrared spectrum, thereby effectively improving the detection precision and efficiency of the regression model of the support vector machine for the taste quality of rice.

摘要：【中文】本发明涉及一种红小豆淀粉的提取工艺，将红小豆放入水中浸泡至体积变大，种皮变得不再坚硬，用手轻搓很容易使种皮脱落即可；去皮后将红小豆烘干，粉碎，然后过80目筛，取筛下产品，按照料液比为1:2‑6g/mL的比例，添加质量百分比浓度为0.1‑0.5％的氢氧化钠溶液，在25‑45℃的温度下浸泡1‑5h；将其置于转速为4000r/min的离心机中离心10min，完成后弃去上清液并将沉淀中的黄褐色物质去除，连续用水清洗4次，继续离心处理，一直到淀粉浆呈现出白色为止；选用摩尔百分比浓度为1mol/L氢氧化钠溶液将其pH值调整为7.0，离心后转置30℃恒温培养箱中干燥，完成后过80目筛，取筛下产品即可。本发明提高了碱液提取红小豆淀粉的提取率。 【EN】The invention relates to a process for extracting small red bean starch, which comprises the steps of soaking small red beans in water until the size of the small red beans is increased, so that seed coats are not hard any more, and the seed coats can be easily peeled off by lightly rubbing with hands; drying and crushing small red beans after peeling, then sieving the small red beans by a sieve of 80 meshes, taking products under the sieve, adding a sodium hydroxide solution with the mass percent concentration of 0.1-0.5% according to the material-liquid ratio of 1:2-6g/mL, and soaking the products for 1-5 hours at the temperature of 25-45 ℃; centrifuging in a centrifuge with rotation speed of 4000r/min for 10min, discarding supernatant after completion, removing yellow brown substance in precipitate, continuously washing with water for 4 times, and continuing centrifuging until the starch slurry appears white; selecting a sodium hydroxide solution with the mol percentage concentration of 1mol/L to adjust the pH value to 7.0, centrifuging, transferring to a constant temperature incubator at 30 ℃ for drying, sieving by a sieve of 80 meshes after the drying is finished, and taking the sieved product. The invention improves the extraction rate of the small red bean starch extracted by the alkali liquor.

摘要：【中文】本发明的一种利用ICP‑MS测定水稻中重金属元素的方法，涉及重金属检测，其具体操作步骤如下：a、将水稻样品经自然风干至含水量低于15%，粉碎，再过100目筛，制得水稻风干粉末；b、将a步骤制得的水稻风干粉末与浓硝酸混合，经密闭微波消解仪进行消解，得到水稻消解液；c、将b步骤制得的水稻消解液置于恒温电热板上进行赶酸，将赶酸后的消解液，上ICP‑MS仪器进行检测，即可获得水稻中重金属含量。利用本发明的方法检测水稻中的重金属，其方法精密度、稳定性极好，准确度较高，标准曲线拟合度高达0.999以上，加标回收率均介于90%‑110%之间。具有一定的检测潜力，可在后续的检测过程中进行推广和使用。 【EN】The invention discloses a method for determining heavy metal elements in rice by utilizing ICP-MS, relating to heavy metal detection and comprising the following specific operation steps: a. naturally drying a rice sample until the water content is lower than 15%, crushing, and sieving with a 100-mesh sieve to obtain rice air-dried powder; b. mixing the rice air-dried powder prepared in the step a with concentrated nitric acid, and digesting by a closed microwave digestion instrument to obtain rice digestion liquid; c. and c, placing the rice digestion solution prepared in the step b on a constant-temperature electric heating plate for acid removal, and detecting the digestion solution after acid removal by using an ICP-MS instrument to obtain the heavy metal content in the rice. The method for detecting the heavy metal in the rice has the advantages of excellent precision and stability, high accuracy, standard curve fitting degree up to more than 0.999 and standard recovery rate between 90% and 110%. Has certain detection potential and can be popularized and used in the subsequent detection process.

摘要：【中文】本发明公开了一种预测水稻中砷元素含量风险评估方法，包括以下步骤：(1)模型构建：通过测量土壤中砷含量、有机质含量、pH，及成熟水稻中砷含量数据，建立多元回归模型；(2)待测水稻砷含量的预测：将土壤中砷含量、有机质含量及pH代入多元回归模型中，得到该土壤中待测水稻砷含量；(3)风险评估：采用单因子污染指数和致癌风险模型对水稻中砷含量进行风险评估。本发明对“土壤‑水稻系统”中影响砷元素吸收的因素进行了研究，提出了预测水稻中砷元素含量的最佳拟合模型，对摄食当地水稻给人体带来的健康风险情况进行了分析评价，具有一定的参考价值和实践意义。 【EN】The invention discloses a risk assessment method for predicting the content of arsenic in rice, which comprises the following steps: (1) constructing a model: establishing a multiple regression model by measuring the arsenic content, the organic matter content and the pH value in soil and arsenic content data in mature rice; (2) predicting the arsenic content of rice to be detected: substituting the arsenic content, the organic matter content and the pH value in the soil into a multiple regression model to obtain the arsenic content of the rice to be detected in the soil; (3) and (3) risk assessment: and (4) carrying out risk evaluation on the arsenic content in the rice by adopting a single-factor pollution index and carcinogenic risk model. The method provided by the invention is used for researching the factors influencing the arsenic absorption in the soil-rice system, provides an optimal fitting model for predicting the arsenic content in rice, analyzes and evaluates the health risk condition brought to human bodies by eating local rice, and has certain reference value and practical significance.

摘要：【中文】本发明公开了一种水田全自动智能施肥装置，包括支撑台，支撑台的底部固定有多个支撑腿，支撑腿上设有水位检测器，支撑腿的底部设有滚轮，支撑台的下面通过升降器连接有升降台，升降台的下方设有转盘，转盘的周向均匀的固定有多组紧邻在一起的挖土器和施肥管，转盘通过第一驱动机构进行驱动，第一驱动机构设在升降台的下面，升降台的下面还设有进料口，进料口上设有第一电磁阀，进料口通过送料管与肥料桶的出料口连接，升降台的下面还设有第一拨板。本发明通过水深检测仪检测水田中水的深度，然后将施肥装置压入水下，进行施肥，最后将施肥后的土壤填平，使得肥料在土壤中充分发挥作用，从而完成全自动的施肥工作。 【EN】The invention discloses a full-automatic intelligent fertilizing device for a paddy field, which comprises a supporting table, wherein a plurality of supporting legs are fixed at the bottom of the supporting table, water level detectors are arranged on the supporting legs, rollers are arranged at the bottoms of the supporting legs, a lifting table is connected below the supporting table through a lifter, a rotary table is arranged below the lifting table, a plurality of groups of soil shovels and fertilizing pipes which are close to each other are uniformly fixed in the circumferential direction of the rotary table, the rotary table is driven by a first driving mechanism, the first driving mechanism is arranged below the lifting table, a feeding hole is also arranged below the lifting table, a first electromagnetic valve is arranged on the feeding hole, the feeding hole is connected with a discharging hole of a fertilizer barrel through a feeding pipe, and a first shifting plate is. According to the invention, the depth of water in the paddy field is detected by the water depth detector, then the fertilizing device is pressed into the water for fertilizing, and finally the soil after fertilization is filled and leveled up, so that the fertilizer can fully play a role in the soil, and thus the full-automatic fertilization work is completed.

摘要：【中文】本发明的集装箱存放玉米的保存方法，涉及食品包装技术领域，集装箱存放玉米的保存方法，当玉米粮堆含水百分率为11.37％‑11.67％时，露点温差为10.78℃‑11.26℃；当玉米粮堆含水百分率为13.40％‑13.70％时，露点温差为6.60℃‑7.20℃；当玉米粮堆含水百分率为15.40％‑15.69％时，露点温差为4.31℃‑4.6℃。粮堆结露通常发生于粮面下50mm‑250mm的范围内。本文通过实验对玉米粮温和相对湿度等因素进行测试，分析集装箱内玉米粮堆易发生结露的区域并对结露温差进行预测，并进行结露预警，为储粮安全提供理论依据。 【EN】The invention discloses a method for storing corns in a container, which relates to the technical field of food packaging, and the method for storing corns in the container is characterized in that when the moisture percentage of a corn grain stack is 11.37-11.67%, the dew point temperature difference is 10.78-11.26 ℃; when the moisture percentage of the corn grain stack is 13.40-13.70%, the dew point temperature difference is 6.60-7.20 ℃; when the water content of the corn grain pile is 15.40-15.69%, the dew point temperature difference is 4.31-4.6 ℃. The dewing of the grain bulk usually occurs in the range of 50mm to 250mm below the grain surface. The test paper tests factors such as temperature and relative humidity of corn grains through experiments, analyzes an area in a container where the corn grain pile is easy to dewing, predicts the dewing temperature difference, performs dewing early warning, and provides a theoretical basis for grain storage safety.