Technical advances in instrument manufacturing have promoted the miniaturization and cost reduction of portable NIR spectrometers. The price of a device is now affordable to ordinary consumers, which might promotes the application of NIRS in real scenarios. Generally, the portable spectrometers have a lower spectral resolution and a narrower spectral region compared with the benchtop ones. Whether the consumer grade portable spectrometers is good enough for basic analysis in TCM (Traditional Chinese Medicine) remains unclear. Two real world applications were introduced in this work to evaluate the capability of consumer grade spectrometers solving complex problems. Spectra collected on bark samples were used to test the qualitative performance of the spectrometer. The result showed that the cross validation error of the hierarchical FDA (Fisher Discrimination Analysis) models was at most 0.0769. For the quantitative analysis, spectra of pharmaceutical powder were used to train a model to predict the moisture of new individual sample. The RPD (the Ratio of Performance to Deviation) value of the moisture model was 6.83. These results demonstrated the usability of the models built on NIRS data measured by consumer grade spectrometer.

中文翻译：

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消费级中红外光谱仪的性能

仪器制造技术的进步促进了便携式近红外光谱仪的小型化和成本降低。现在，普通消费者可以负担得起设备的价格，这可能会促进NIRS在实际场景中的应用。通常，便携式光谱仪与台式光谱仪相比具有较低的光谱分辨率和较窄的光谱区域。消费级便携式光谱仪是否足以胜任中医基础分析。在这项工作中引入了两个实际应用，以评估消费级光谱仪解决复杂问题的能力。在树皮样品上收集的光谱用于测试光谱仪的定性性能。结果表明，分层FDA（Fisher Discrimination Analysis）模型的交叉验证误差最多为0.0769。对于定量分析，使用药物粉末的光谱来训练模型以预测新的单个样品的水分。水分模型的RPD（性能与偏差之比）值为6.83。这些结果证明了基于消费级光谱仪测量的NIRS数据建立的模型的可用性。