Spectrum Two N的设计极具灵活性，有即插即用的采样和分析附件，可以为多种样品的定性，定量和掺杂物分析提供最优质的解决方案。独特的Spectrum Touch™ 和Touch ES软件可提供简单直观的用户界面，无论您使用近红外进行何种特定样品分析，不管在实验室还是现场做样，Spectrum Two N都能提供卓越的性能和可靠性，是值得您信赖的高性能近红外分析解决方案。
| 21 CFR Part 11兼容 | Yes |
|---|---|
| 深度 | 30.0 cm |
| 检测器类型 | InGaAs |
| 高度 | 21.0 cm |
| 型号名称 | Spectrum Two N FT-NIR Spectrometer (InGaAs Detector) |
| 便携式 | Yes |
| 产品品牌名称 | Spectrum Two |
| 产品组 | 仪器 |
| 保修 | 1 year |
| 重量 | 13.0 kg |
| 宽度 | 45.0 cm |
| Detector | Software | Part Number |
|---|---|---|
| LiTaO3 | Spectrum 10 | L1390021 |
| LiTaO3 | Spectrum 10 ES | L1390022 |
| InGaAs | Spectrum 10 | L1390023 |
| InGaAs | Spectrum 10 ES | L1390024 |
With our extended portfolio of cannabis testing products featuring best-in-class sample homogenization platforms, ICP-MS, LC/MS-MS, Headspace-GCMS, UHPLC and FTIR instruments and consumables, we help drive analytical best practices and operating procedur
Innovation is the lifeblood of industrial polymer development – the push to improve materials or develop new ones infuses new life into the industry from R&D through to QA/QC. Manufacturers are continually challenged to ensure effective quality control and streamline processes while meeting stringen ...
Download this Flyer for an overview of PerkinElmer's analytical solutions for the Semiconductor industry. This 2-page flyer outlines semiconductor and microelectronic workflows and applications, and the precise and reliable PerkinElmer solutions to address them - including instrumentation, consumabl ...
Product Certificate for the Spectrum Two N
本次应用研究，使用傅立叶变换近红外光谱仪（FT-NIR）测定棕榈油和其他食用油产品中的固体脂肪含量（SFC）。结合PLS 校准方法和FT-NIR 光谱法，分别测试样品在10℃、20℃、25℃、30℃和35℃下的固体脂肪含量，建立近红外（FT-NIR）测试脂肪中固体脂肪含量的方法。
本文介绍的近红外光谱配合PerkinElmer的掺杂物筛查技术（Adulterant Screen）可以用于检测任何故意或意外的牛奶掺杂。
由于测试过程的快速和无损，近红外（NIR）光谱是一种很有吸引力的粉末物质中掺杂物的筛查工具。 近红外光谱并不适合于检测成品中如此低含量的三聚氰胺，但是非常适合于筛查原材料。 相比于在成品中检测出三聚氰胺，如果在原材料中检测出三聚氰胺则更容易追查其来源。
This application note presents a method for determining oil content, alpha acids, and beta acids in oil-enriched CO2 hop extracts using FT-NIR spectroscopy combined with machine learning. Traditionally, these measurements have required hazardous chemicals and time-consuming procedures. The study int ...
The exact number of counterfeit medicines produced/consumed each year is difficult to determine due to the usually illegitimate methods by which they are distributed. However, the scale of the problem can be represented by the fact that 20 million pills, bottles, and sachets of counterfeit medicines ...
The analysis of all incoming pharmaceuticalraw materials is a key part of 21CFR compliance (section 211.84). It is therefore important to have a high-throughput method by which raw materials may be analysed in a loading bay or warehouse,while also preventing sample exposure.
