摘要
柑橘类水果以其诱人的风味和高保健作用而备受消费者青睐。面对日益增长的市场份额,以及对口感、质量的双重需求,高品质柑橘类水果成为消费偏爱。快速检测技术的研发应用可为柑橘类水果的安全生产和消费保驾护航。近红外(near-infrared,NIR)光谱技术作为一种无损、便捷、高效的绿色检测技术,已被广泛用于水果质量检测研究。文章全面归纳综述了近5年来NIR光谱技术结合化学计量学在柑橘类水果内部成分、外部缺陷、活性物质、病害、品种、分类、产地等方面的检测研究及应用进展,阐明了NIR光谱技术在柑橘类水果质量检测应用方面的发展趋势并提出了相关建议,为完善光谱技术检测柑橘类水果理论和研发专用水果检测设备提供方法借鉴。
The citrus fruits are favored by consumers because of their attractive flavor and high hygienical functions.In face of the growing market share,as well as the double demand for taste and quality,citrus fruits carrying high-quality have become the preference of consumers.The safe production and consumption of citrus fruits can be guaranteed by developing and applying the rapid detection technolo-gy.As a nondestructive,convenient and efficient green detection technology,near-infrared(NIR)spectroscopy has widely used and stud-ied in fruit detection.This paper comprehensively summarized the research and application progresses of NIR spectroscopy combined with chemometrics in the detection of internal components,external defects,active substances,diseases,varieties,classification and origin of citrus fruits in the past five years.The development trend of NIR spectroscopy in the quality detection of citrus fruits was illustrated and some relevant suggestions were also put forward,which can be used as methodological references to improve the theory of detecting citrus fruit by spectral techniques and develop special fruit detection equipment.
作者
李晋
张琛
刘红
张伟清
何鸿举
LI Jin;ZHANG Chen;LIU Hong;ZHANG Weiqing;HE Hongju(Department of Pharmacy,Zhengzhou Railway Vocational&Technical College,Zhengzhou 451460,China;School of Information Engineering,Xinxiang Institute of Engineering,Xinxiang 453700,China;College of Chemistry and Chemical Engineering/Haikou Key Laboratory of Research and Development on Topical and Special Medicine and Edible Plant,Hainan Normal University,Haikou 571158,China;Zhejiang Citrus Research Institute,Huangyan 318026,China;School of Food Science,Henan Institute of Science and Technology,Xinxiang 453003,China)
出处
《食品与发酵工业》
CAS
CSCD
北大核心
2024年第5期367-379,共13页
Food and Fermentation Industries
基金
海口市重点科技计划项目(2021-034)
台州市科技计划项目(22nya13)。
关键词
近红外
光谱
柑橘
检测
品质
near-infrared(NIR)
spectrum
citrus
detection
quality