关键词: Calibration model Chemometrics FTIR spectroscopy Mushrooms Pre-processing Prediction set Raman spectroscopy

Mesh : Agaricales / chemistry classification Food Analysis / methods Geography Quality Control Spectroscopy, Fourier Transform Infrared / methods Spectroscopy, Near-Infrared / methods Spectrum Analysis / methods Spectrum Analysis, Raman Vibration

来  源:   DOI:10.1016/j.foodchem.2019.03.091   PDF(Sci-hub)

Abstract:
Chemical compositions of mushrooms are greatly dependent on the geographical region, and also the different parts of the same mushroom have different chemical constitutions. Several chemical methods are employed for quality control of mushrooms. However, these methods are destructive, require skilled personnel and are time consuming. To overcome these limitations researchers are aiming for vibrational spectroscopic techniques. This review is focused on various studies related to the application of vibrational spectroscopy for classification, authentication and quality analysis of mushrooms. It was concluded that vibrational spectroscopy could be efficiently employed for assessing the quality, authenticity and geographical origin of the mushrooms. Fourier-transform infrared (FTIR) and near infrared (NIR) spectroscopy were the most explored, whereas, Raman spectroscopy is the least explored technique in this field. Compact and cost-effective spectrometers based on the selective wavelengths have to be designed and installed at commercial and industrial level for rapid quality control of mushrooms.
摘要:
蘑菇的化学成分在很大程度上取决于地理区域,同样的蘑菇的不同部分也有不同的化学成分。几种化学方法用于蘑菇的质量控制。然而,这些方法具有破坏性,需要熟练的人员和耗时。为了克服这些限制,研究人员的目标是振动光谱技术。这篇综述集中在与振动光谱学在分类中的应用相关的各种研究,蘑菇的认证和质量分析。结论是振动光谱可以有效地用于质量评估,蘑菇的真实性和地理来源。傅里叶变换红外(FTIR)和近红外(NIR)光谱是探索最多的,然而,拉曼光谱是该领域中探索最少的技术。基于选择性波长的紧凑且具有成本效益的光谱仪必须在商业和工业水平上进行设计和安装,以快速控制蘑菇的质量。
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