近红外光谱分析技术在玉米品质分析中的应用
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摘要
玉米在我国是非常重要的粮食作物,其种植面积和总产量仅次于水稻和小麦。玉米作为农业生产的主要原料,其用途需求稳定,但仍难以消化过剩的供给。所以,提高玉米的利用率成为当前迫切需要解决的问题。近红外光谱分析技术具有操作简单、准确,在短时间内能够分析大量的样本,检测样品时无需制备样品,更不会破坏其成分等特点可以消除传统方法测量玉米成分时的弊端。本文利用近红外光谱分析技术对数十种玉米的成分进行快速检测并对玉米成分构建合理的模型,从而分析不同品种玉米之间的差异,以便于满足玉米在不同行业中的应用需求。
Corn is a very important food crop in China,its planting area and total yield are only inferior to rice and wheat.Corn is the main raw material for agricultural production,its use demand is stable,but it is still difficult to digest the excess supply.Therefore,improving the utilization ratio of maize has become an urgent problem to be solved.Near infrared spectroscopy(NIRS) is a simple and accurate method,which can analyze a large number of samples in a short time.It is not necessary to prepare samples for testing samples,and it will not destroy their components.In this paper,near infrared spectroscopy(NIRS) was used to detect the components of dozens of maize and to construct a reasonable model of maize components,so as to analyze the differences between different maize varieties,so as to meet the application needs of Maize in different industries.
Corn is a very important food crop in China,its planting area and total yield are only inferior to rice and wheat.Corn is the main raw material for agricultural production,its use demand is stable,but it is still difficult to digest the excess supply.Therefore,improving the utilization ratio of maize has become an urgent problem to be solved.Near infrared spectroscopy(NIRS) is a simple and accurate method,which can analyze a large number of samples in a short time.It is not necessary to prepare samples for testing samples,and it will not destroy their components.In this paper,near infrared spectroscopy(NIRS) was used to detect the components of dozens of maize and to construct a reasonable model of maize components,so as to analyze the differences between different maize varieties,so as to meet the application needs of Maize in different industries.
引文
[1]林家永.近红外光谱分析技术在玉米品质分析中的研究进展[J].中国粮油学报,2010,25(4):108-115.
[2]张晖,姚惠源,王立.国外玉米深加工业现状和发展趋势[J].粮食与饲料工业,2004(9): 24-26.
[3]沂南.食材档案玉米[J].食品与健康,2010(3):30.
[4]邵知扬.玉米的综合利用途径及研究进展[J].南方农业,2017(20):66.
[5]褚小立,陆婉珍.近五年我国近红外光谱分析技术研究与应用进展[J].光谱学与光谱分析,2014,34(10):2595-2605.
[6]严衍禄,张录达,陈斌,等. 近红外光谱分析在农业领域应用中的几个问题[J].现代仪器, 2011,17(5):5-8.
[7]Shenk J S,Westerhaus M O.Monograph analysis of agriculture and food products by near lnfrared reflectance spectroscopy. NIRSystem, Inc,1993:1-21.
[8]董秀玲,钱世凯,杨维旭.现场收购“冻玉米”中各组分含量的近红外光谱(NIR)分析[J].粮食与饲料工业,2004(11):43-45.
[9]高俊.近红外光谱分析技术在油品分析中的应用研究[D].南京:南京工业大学,2005.
[10]Reeves III J B,McCarty G W.Quantitative analysis of agricultural soils using near infrared reflectance spectroscopy and a fiber-optic probe[J]. Near Infrared Spectroscopy,2001,9:25-34.
[11]Ogata H,Yunoki T,Yano T.Effect of arm cranking on the NIRS-determined blood volume and oxygenation of human inactive and exercising vastus lateralis muscle[J]. European Journal of Applied Physiology,2002,86(3):191-195.
[12]Goldman I L,Rocheford T R,Dudley J W.Quantitative trait loci influencing protein and starch concentration in Illinois long term selection maize strains[J]. Theoretical and Applied Genetics,1993,87(1-2):217-224.
[13]檀其梅,周杰.近红外光谱分析与传统方法检测玉米中营养成分的比较[J].饲料工业,2007(23):40-41.
[14]韦玲冬.基于近红外光谱技术的红茶品质与等级评判方法的研究[D].合肥:安徽农业大学,2015.
[15]Dubios P,Martimes J R.Determination of five components in a pharmaceutical formulation using near-infrared reflectance spectroscopy[J].Analyst,1987,112:1675-1679.
[2]张晖,姚惠源,王立.国外玉米深加工业现状和发展趋势[J].粮食与饲料工业,2004(9): 24-26.
[3]沂南.食材档案玉米[J].食品与健康,2010(3):30.
[4]邵知扬.玉米的综合利用途径及研究进展[J].南方农业,2017(20):66.
[5]褚小立,陆婉珍.近五年我国近红外光谱分析技术研究与应用进展[J].光谱学与光谱分析,2014,34(10):2595-2605.
[6]严衍禄,张录达,陈斌,等. 近红外光谱分析在农业领域应用中的几个问题[J].现代仪器, 2011,17(5):5-8.
[7]Shenk J S,Westerhaus M O.Monograph analysis of agriculture and food products by near lnfrared reflectance spectroscopy. NIRSystem, Inc,1993:1-21.
[8]董秀玲,钱世凯,杨维旭.现场收购“冻玉米”中各组分含量的近红外光谱(NIR)分析[J].粮食与饲料工业,2004(11):43-45.
[9]高俊.近红外光谱分析技术在油品分析中的应用研究[D].南京:南京工业大学,2005.
[10]Reeves III J B,McCarty G W.Quantitative analysis of agricultural soils using near infrared reflectance spectroscopy and a fiber-optic probe[J]. Near Infrared Spectroscopy,2001,9:25-34.
[11]Ogata H,Yunoki T,Yano T.Effect of arm cranking on the NIRS-determined blood volume and oxygenation of human inactive and exercising vastus lateralis muscle[J]. European Journal of Applied Physiology,2002,86(3):191-195.
[12]Goldman I L,Rocheford T R,Dudley J W.Quantitative trait loci influencing protein and starch concentration in Illinois long term selection maize strains[J]. Theoretical and Applied Genetics,1993,87(1-2):217-224.
[13]檀其梅,周杰.近红外光谱分析与传统方法检测玉米中营养成分的比较[J].饲料工业,2007(23):40-41.
[14]韦玲冬.基于近红外光谱技术的红茶品质与等级评判方法的研究[D].合肥:安徽农业大学,2015.
[15]Dubios P,Martimes J R.Determination of five components in a pharmaceutical formulation using near-infrared reflectance spectroscopy[J].Analyst,1987,112:1675-1679.
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