食品安全质量检测学报
食品安全質量檢測學報
식품안전질량검측학보
FOOD SAFETY AND QUALITY DETECTION TECHNOLOGY
2014年
3期
658-664
,共7页
戴莹%冯晓元%韩平%王蒙%王纪华
戴瑩%馮曉元%韓平%王矇%王紀華
대형%풍효원%한평%왕몽%왕기화
近红外光谱%果蔬%农药残留
近紅外光譜%果蔬%農藥殘留
근홍외광보%과소%농약잔류
near infrared spectrum%fruits and vegetables%pesticide residues
近红外光谱技术是一种具有无损、快速、低成本等诸多特点的新型分析检测技术,可以方便地实现对农产品尤其是水果、蔬菜中农药残留的定性和定量监控。近红外光谱技术所具有的无损检测这一突出优势,使其在农产品安全领域有着广阔的应用前景。本文概述了近红外光谱技术的基本原理、应用特点、目前近红外光谱技术常用的样品前处理技术-预浓缩技术和定量校正模型,并对近红外光谱技术在果蔬农药残留检测领域的应用情况进行综述。随着近红外光谱技术的不断革新、相关前处理技术的不断发展和完善,未来近红外光谱技术在果蔬农药残留检测中会向着更加灵敏、更加准确、更加自动化、更加现场化等方向发展。
近紅外光譜技術是一種具有無損、快速、低成本等諸多特點的新型分析檢測技術,可以方便地實現對農產品尤其是水果、蔬菜中農藥殘留的定性和定量鑑控。近紅外光譜技術所具有的無損檢測這一突齣優勢,使其在農產品安全領域有著廣闊的應用前景。本文概述瞭近紅外光譜技術的基本原理、應用特點、目前近紅外光譜技術常用的樣品前處理技術-預濃縮技術和定量校正模型,併對近紅外光譜技術在果蔬農藥殘留檢測領域的應用情況進行綜述。隨著近紅外光譜技術的不斷革新、相關前處理技術的不斷髮展和完善,未來近紅外光譜技術在果蔬農藥殘留檢測中會嚮著更加靈敏、更加準確、更加自動化、更加現場化等方嚮髮展。
근홍외광보기술시일충구유무손、쾌속、저성본등제다특점적신형분석검측기술,가이방편지실현대농산품우기시수과、소채중농약잔류적정성화정량감공。근홍외광보기술소구유적무손검측저일돌출우세,사기재농산품안전영역유착엄활적응용전경。본문개술료근홍외광보기술적기본원리、응용특점、목전근홍외광보기술상용적양품전처리기술-예농축기술화정량교정모형,병대근홍외광보기술재과소농약잔류검측영역적응용정황진행종술。수착근홍외광보기술적불단혁신、상관전처리기술적불단발전화완선,미래근홍외광보기술재과소농약잔류검측중회향착경가령민、경가준학、경가자동화、경가현장화등방향발전。
Near-infrared spectroscopy (NIR) is a new analytical technique with the features of non-destructive, rapid and low cost, which can realize the qualitative and quantitative monitoring of pesticide residues in agricultural products especially in fruits and vegetables. Near-infrared spectroscopy will have broad prospects in the agricultural products security field because of the outstanding advantages of non-destructive testing characteristic. This paper summarized the basic principles and the characteristics of NIR, introduced the pretreatment technology of NIR such as the pre-concentration technologies and the quantitative calibration models and reviewed the application situations of the near infrared spectrum technology in the detection of pesticide residues in fruits and vegetables. With the continuous development and perfection of the near infrared spectrum technology and the relevant processing technology, the application of near infrared spectroscopy de-tection of pesticide residues in fruits and vegetables is being developed with a tendency of high sensitivity and accuracy, easy automation and on the spot operation.