近红外光谱技术在苹果检测方面的研究与应用

Research and application of near-infrared spectroscopy in apple detection

中文关键词:  近红外光谱技术  模型建立  苹果  品质检测

英文关键词:near-infrared spectroscopy technology  model establishment  apple  quality detection

中文摘要:

      随着我国苹果栽培面积不断扩大和产量不断提高, 社会经济不断发展, 人们对水果品质要求也随之提高, 其品质检测工作变得尤为重要。近红外光谱技术因其高效、无损等特点, 近年来被广泛应用在苹果检测领域, 相关文献研究整体呈递增趋势, 并有望研制出便携检测设备推广使用。为便于相关研究工作者快速了解该领域现状, 结合在该领域的现有研究成果, 本文主要阐述了近10年近红外光谱技术在苹果检测研究中的应用进展情况, 系统探讨了苹果品质预测模型建立过程(光谱获取、样品划分、光谱数据预处理、特征波长选择、模型建立等)与该技术在苹果检测(品种差异、产地溯源、货架期预测等)领域的具体应用, 并对未来发展方向提出了一定的建议, 为后续研究者对近红外光谱技术在苹果检测方面的研究(如算法改进与优化、新理论的融入)与发展方向提供一定参考。

英文摘要:

      With the continuous expansion of the apple cultivation area and the continuous improvement of apple yield in China, coupled with the social and economic development, people’s requirements for fruit quality are also improved, and its quality detection has become particularly important. Near-infrared spectroscopy technology has been widely used in the field of apple detection in recent years due to its high efficiency and non-destructive characteristics. The overall literature research is increasing, and it is expected that portable detection equipment will be developed and used. In order to facilitate relevant researchers to quickly understand the current situation in this field, combined with the existing research results in this field, this paper expounded on the research and application status of apple quality detection based on near-infrared spectroscopy in the recent 10 years, and systematically discussed the process of establishing apple quality prediction model (spectroscopy acquisition, sample division, spectral data preprocessing, characteristic wavelength selection, model establishment, etc.) and the specific application of this technology in the field of apple detection (variety difference, origin traceability, shelf life prediction, etc.), and put forward some suggestions for the future development direction. This paper will provide certain references for subsequent researchers in the research (such as algorithm improvement and optimization, integration of new theories) and the development direction of near-infrared spectroscopy technology in apple detection.