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幸运8平台彩票 我公司试剂盒通过植物组织和种子提取物进行转基因蛋白和植物病害生物标志物的检测和测定,测试时间不超过3小时,且无需洗涤,无分离步骤。该试剂盒可确保作物健康,并对转基因作物进行监测,确保您的农产品高质安全。

产品与服务 (14)
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1-12 的 14 产品与服务

  • EnSight Multimode Plate Reader

    EnSight 多模式读板仪

    EnSight 多模式读板仪是一台整合了多标记、无标记和显微成像技术的桌面式一体化检测平台。其整孔成像&在线数据分析速度非常快,可以在五分钟内完成384孔板整板的图像获取及分析。该仪器采用预置模块化设计,结合基于Kaleido软件的数据采集和分析流程,是一台真正的全能且高产的多模式读板仪。
  • Spectrum Two N FT-NIR Spectrometer

    Spectrum Two N FT-NIR Spectrometer

    Spectrum Two N™是一款高性能,坚固耐用的便携式傅里叶变化近红外光谱仪,它操作简单,并能提供可靠结果。该系统可以充分满足实验室对高端性能的迫切需求,同时又是方便易用的便携式仪器,实在是您的理想之选。无论是初出茅庐的新手,还是经验丰富的专业人员,都能立刻上手熟练操作。
  • AlphaLisa Analyte 2

    Cry1Ab/1Ac, lyophilized (AlphaLISA)

    Cry1Ab and Cry1Ac standards, lyophilized, for use in running standard curves in AlphaLISA no-wash immunoassays. This standard is already provided in the AlphaLISA Cry1Ab/1Ac Detection Kit, but can be ordered separately.
  • AlphaLISA immunoassay kits

    Cry1Ab/1Ac AlphaLISA Detection Kit

    The AlphaLISA® immunoassay kit for Cry1Ab/1Ac enables the detection and quantitation of Cry1Ab or Cry1Ac in plant seed and leaf extracts using a homogeneous AlphaLISA assay (no wash steps).
  • AlphaLisa Analyte 2

    Cry2A analyte, lyophilized (AlphaLISA)

    Cry2A standard, lyophilized, for use in running standard curves in AlphaLISA no-wash immunoassays. This standard is already provided in the AlphaLISA Cry2A kit, but can be ordered separately.
  • AlphaLisa Analyte 2

    Cry1F analyte, lyophilized (AlphaLISA)

    Cry1F standard, lyophilized, for use in running standard curves in AlphaLISA no-wash immunoassays. This standard is already provided in the AlphaLISA Cry1F kit, but can be ordered separately.
  • AlphaLISA immunoassay kits

    Cry2A AlphaLISA Detection Kit

    The AlphaLISA® Cry2A Detection Kit is designed for detection and quantitation of Cry2A in GMO seeds, leaves, and plant extracts in a homogeneous (no-wash steps, no separation steps) assay.
  • AlphaLISA immunoassay kits

    Cry1F AlphaLISA Detection Kit

    The AlphaLISA® Cry1F Detection Kit is designed for detection and quantitation of Cry1F in GMO seeds, leaf, and plant extracts using a homogeneous (no-wash steps, no separation steps) assay.
  • PerkinElmer
  • EnVision stacker and dispenser, small

    EnVision Stacker

    EnVision stackers provide a semi-automated plate loading option. Load and unload magazines are easy to remove and hold either 20 or 50 plates at a time. Magazines not included.

    Image represents EnVision instrument, stacker and dispenser. Instrument and dispenser must be purchased separately from stacker.

  • PerkinElmer

    EnSpire Stacker field kit

    EnSpire stackers provide a semi-automated plate loading option. The load and unload magazines are easy to remove and can take either 20 or 50 plates at a time.
  • Lead Discovery powered by TIBCO Spotfire

    Lead Discovery

    The Power of TIBCO Spotfire® with Chemical Intelligence from PerkinElmer

    Lead Discovery is a Spotfire add-in that transforms TIBCO Spotfire into the premier platform for powerful chemical analytics. Import, sift through, and interpret chemical structures alongside other relevant data in a highly visual and interactive environment. Lead Discovery is a powerful way to explore complex chemical data so that key relationships can be better understood and decisions can be made with increased confidence.
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Business Insights (5)
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幸运8平台彩票1-5 的 5 Business Insights

幸运8平台彩票

  • 指南

    Safeguarding the Authenticity of Herbs & Spices

    Infrared (IR) and near-infrared (NIR) spectroscopy are fast, easy-to-use techniques with a history of being used for food applications such as those for measuring protein, moisture, and fat content. Food fraud and adulteration has become of particular concern to the industry over the past few years following reports of incidents in the media, with herbs and spices identified as one of the key problem areas.

  • 白皮书

    Streamlining Materials Innovation Processes with Electronic Lab Notebook (ELN) and Data Analytics for Optimum Efficiency

    幸运8平台彩票This paper explores the numerous challenges materials scientists and engineers face, from the time it takes to bring new materials to market to the difficulties delivering suitable formulations and testing against specified criteria, and how those can be resolved.

  • 应用文献

    Discrimination of Herbal Lifestyle Products Using AssureID SIMCA and COMPARE Algorithms

    Herbal lifestyle products are widely used as alternatives to medicines around the world, with as many as 80% of people using them as a primary source of healthcare in developing countries. These treatments are commonly regarded by scientific papers, and on some occasions the media, as being inferior to orthodox treatment. This is due to the variation between herbal formulations which will not be present in so called ‘single-chemical’ drugs. The reasons for the aforementioned variation involve several factors including storage, environmental conditions, handling and unintentional or intentional contamination (adulteration).

  • 应用文献

    Verification of Pharmaceutical Raw Materials using the Spectrum Two N FT-NIR Spectrometer

    Near-infrared (NIR) spectroscopy is an important technique for materials checking at various stages of the manufacturing process, but is particularly useful at the raw materials inspection stage. Raw materials come in a variety of physical forms including liquids, gels, and solids, requiring a versatile instrument with convenient, interchangeable sampling modules to cater to the entire range of raw materials encountered.

  • 应用文献

    A Comparison of Two FT-NIR Sampling Techniques for SIMCA Classification of Spectroscopically Similar Pharmaceutical Raw Materials

    NIR Spectroscopy is a useful technique for raw materials identification and verification, but the sophistication of the technique might differ based on the sample. If the materials to be identified are spectroscopically dissimilar, it is often only necessary to use a simple distance measure such as a spectral difference for identification. If the spectra are similar, on the other hand, it may be necessary to use more sophisticated techniques which take into consideration both the intra- and inter-material spectral variation for identification and classification. The SIMCA (Soft Independent Modelling of Class Analogy) algorithm, a Principal Component Analysis (PCA) method, provides such an example.