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 | LiTaO3 |
| 高度 | 21.0 cm |
| 型号名称 | Spectrum Two N FT-NIR Spectrometer (LiTaO3 Detector) |
| 工作范围（-60to400） | 5 - 45 °C |
| 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 |
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质量控制监控和测试是确保棕榈油质量的重要环节。质量控制参数用于判断棕榈油产品的质量，并可对其进行监控和测试，以确保棕榈油没有故意或意外掺假。
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无论您的实验室已经稳住根基还是刚刚起步，拥有一个能够提供符合当前法规交钥匙解决方案的单一来源合作伙伴，对于成功的业务至关重要。多年来，我们一直与政府和合同大麻实验室合作，开发行业领先的方法、技术和超高投资回报。我们帮助推动分析标准，并致力于确保您的实验室具有最大的正常运行时间。了解我们用于大麻分析的各种测试方法和应用，让我们与您一起建立一个高效的工作流程，这样您就可以专注于发展您的业务和品牌。
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Product Certificate for the Spectrum Two N
牛油果油是一种高价值的产品，为了增加利润率可能被掺入低价值油。这些掺假油可能包括含有坚果的油，这会对坚果可能过敏的消费者产生危险的过敏反应。这项工作表明，近红外光谱与HTM配件可以对牛油果油中的掺假油提供准确的检测和鉴定。掺假筛查算法可以快速识别出存在的掺假物，并提供一个相对准确的掺假浓度估计值。
主要介绍在符合 21 CFR 第11部分的规定的前提下，利用 PerkinElmer Spectrum Two N™ FT-NIR 近红外分光光谱仪，建立符合数据完整性规程的测试模型，从而克服原材料测试过程中的多重挑战。
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。
藜麦粉是一种高价值产品，因此容易出现采用低价值面粉的掺假。傅立叶变换近红外光谱（FT-NIR）提供了一种快速、简便的方法来确定藜麦粉中任何掺假物的身份和浓度。
在油炸过程中，棕榈油在高温、水和空气的作用下会发生一系列降解反应，导致油脂氧化，最终降低油脂质量，对消费者健康造成不利影响。可通过测定过氧化值（PV）来评估油中的氧化程度。一般来说，PV值越低，油的质量就越高，但腐败度高的油，其氧化程度高， 但PV值却可能会降低，这是由于过氧化物分解形成醛类和其他二次氧化产物。酸值（AV）测量有多少脂肪酸由于水解而从它们的母体分子中分离出来，这可能是过氧化物氧化的结果。
这项工作提供了一种现场、快速、低成本的精确测定大麻花有效成分的技术。FT-NIR光谱提供了有关大麻花化学成分的丰富信息。当与化学计量学相结合时，FT-NIR提供了无与伦比的速度和简单性，这是传统技术无法比拟的。采用PerkinElmer Spectrum Two NIR近红外反射模块（NIRM）对干大麻花中总THC和总CBD进行了定量分析。直接在种植地使用FT-NIR将降低栽培者的总体研发成本。
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