本平台为互联网非涉密平台,严禁处理、传输国家秘密或工作秘密

近红外光谱技术在烟草产地溯源中的应用进展

Advances in the application of near-infrared spectroscopy for tobacco origin traceability

  • 摘要: 烟草传统的化学分析方法(如色谱、质谱)虽能精准测定部分成分,但因其破坏性、低通量和高成本,限制了其在大规模、高时效性工业溯源场景中的应用。近红外光谱(NIRS)技术凭借其快速、无损、低成本的优势,超越了传统分析方法的局限,成为烟草溯源的理想工具。本文中综述了在行业级大数据驱动下,烟草的近红外产地溯源从早期的光谱指纹匹配,向当前的“光谱→化学成分→产地”的主流研究模式转变。在此背景下,文中分析了这种研究方式在不同烟草原料中的应用,并分析了其在模型稳健性与化学可解释性上的核心优势。结合未来研究趋势,文中对该技术在构建全球数据库、深化化学信息维度和融合便携式设备方面进行了总结与展望。

     

    Abstract: Traditional chemical composition analysis methods for tobacco leaf such as chromatography and mass spectrometry, can accurately determine specific components, but their destructive nature, low throughput and high cost limit their applicability in large-scale and time-sensitive industrial traceability scenarios. Near-infrared spectroscopy (NIRS) technology with its advantages of rapidity, nondestructiveness and low cost can overcome the limitations of traditional analytical methods and has emerged as an ideal tool for tobacco leaf traceability. This review discussed the status and shift in mainstream research models for NIRS-based tobacco origin tracking, from early spectral fingerprint matching to current "spectra→chemical components→origin", driven by large dataset. In this context, the application of this research method in different tobacco raw materials and its core advantages in terms of model robustness and chemical interpretability were discussed. Based on the future research trends, the summary and prospects of this technology in building global databases, deepening chemical information dimensions and integrating with portable devices were discussed.

     

/

返回文章
返回