摘要
近红外光谱技术作为一种具有样品前处理简便、快速高效、可以实现多组分同时分析等优点的新型无损分析技术,在食用油脂分析领域扮演着重要角色。对近10年来近红外光谱技术在食用油脂无损检测中的应用进行了总结,概述了近红外光谱技术的分析类型,在食用油脂和食用油脂原料分析方面的应用。通过结合化学计量学方法,近红外光谱技术可以实现不同种类食用油脂的快速鉴别分析,食用油脂的各项理化指标(如游离脂肪酸的含量、碘值、酸值、过氧化值、皂化值等)的快速检测,食用油脂无损掺假检测,食用油脂原料(如玉米、棉籽、油菜籽等)含油量的无损分析。此外,针对当前食用成品油快速无损分析过程中的难题对未来该领域的研究方向进行了展望,以期近红外光谱技术在食用油脂无损分析领域得到更广泛的应用。
Near infrared spectroscopy(NIRS) is a new nondestructive analysis technology whient ych has the advantages of simple pretreatment and enabling high - throughput, multi - analyte detections. In recears, NIRS played an important role in analysis of edible oil. The applications of NIRS in the nonde- structive analysis of edible oil in recent ten years were summarized. The analysis type of NIRS and the applications in edible oil and oilseed were described. Rapid identification and analysis of different kinds of edible oil, rapid analysis of the physicochemical indexes( such as content of free fatty acid, iodine val- ue, acid value, peroxide value, saponification value, etc. ) , nondestructive adulteration detection of edi- ble oil and nondestructive analysis of oil content in oilseeds ( such as corn, cottonseed and rapeseed) could be realized by NIRS combining with chemometrics methods. Furthermore, the future research focu- ses for the rapid and nondestructive analysis of edible oil products were proposed based on existing prob-lems in this area, in order to extensive application of NIRS in nondestructive analysis of edible oil discover more the field of nondestructive analysis of edible oil.
作者
曾子琦
蒋立文
刘霞
李跑
ZENG Ziqi;JIANG Liwen;LIU Xia;LI Pao(Hunan Provincial Key Laboratory of Food Science and Biotechnology,College of Food Science and Technology,Hunan Agricultural University,Changsha 410128,China)
出处
《中国油脂》
CAS
CSCD
北大核心
2018年第8期137-142,共6页
China Oils and Fats
基金
国家自然科学基金资助项目(31601551)
湖南农业大学引进人才科学基金项目(15YJ08)
湖南农业大学青年科学基金项目(16QN24)
湖南农业大学食品科学技术学院青年科学基金项目
关键词
近红外光谱
食用油脂
种类鉴别
理化指标分析
掺伪掺假
含油量无损检测
near infrared spectroscopy
edibleoil
kinds identification
physicochemical indexanalysis
adulteration
oil content nondestructivedetection