近红外光谱法预测干辣椒辣度的影响因素分析Influence Factors for Prediction of Pungency of Dried Peppers by Near Infrared Reflectance Spectroscopy(NIRS)
李沿飞,胡羽,屠大伟,李红
摘要(Abstract):
采用近红外光谱分析技术,对干辣椒辣度的校正模型的影响因素进行比较研究。高效液相色谱测定干辣椒样品中的辣椒碱和二氢辣椒碱含量,计算得到辣度,并用近红外光谱仪采集试样的近红外漫反射光谱,研究样品粒度、光谱波段和预处理方法及主成分数选择对校正模型的影响,采用偏最小二乘法(PLS)建立干辣椒样品的辣度评价的校正模型,并对模型进行预测。结果表明,样品粒度为0.1~0.4mm,筛选出建模光谱波段为9000~4000cm-1,预处理方法为移动平均平滑、归一化处理和多元散射校正处理,最适主成分数为8;在优化条件下所建立的近红外光谱预测模型效果最好。
关键词(KeyWords): 近红外光谱;辣椒;辣度;影响因素
基金项目(Foundation): 重庆市自然科学基金(CSTC,2008BB9374)
作者(Author): 李沿飞,胡羽,屠大伟,李红
参考文献(References):
- [1]谌智鑫,赵尊练,周倩,等.不同储藏条件对干辣椒品质的影响[J].农业工程学报,2011,27(9):381-386.
- [2]Scoville W L.Note on capsicum[J].Journal of the Ameri-can Pharmaceutical Association,1912(1):453-454.
- [3]Sugai E,Morimitsu Y,Iwasaki Y,et al.Pungent qualitiesof sanshool-related compounds evaluated by a sensory testand activation of Rat TRPV1[J].Bioscience,Biotechnolo-gy,and Biochemistry,2005,69:1951-1957.
- [4]罗凤莲,夏延斌,欧阳建勋,等.Scoville感官评定法测定辣椒辣度[J].食品科技,2006,31(10):257-259.
- [5]Nwokem C O,Agbaji E B,Kagbu J A,et al.Determinationof capsaicin content and pungency level of five different pep-pers grown in Nigeria[J].New York Science Journal,2010,3(9):17-21.
- [6]王燕,夏延斌,罗凤莲,等.辣椒素的分析方法及辣度分级[J].食品工业科技,2006,27(2):208-210.
- [7]熊科,夏延斌,王燕,等.辣椒及其制品辣度分级方法研究[J].食品科学,2007,28(5):37-40.
- [8]杨代明,马东兴,李忠海,等.辣椒制品模糊辣度的表示与测定[J].食品与机械,2011(6):31-36.
- [9]Bureau S,Ruiz D,Reich M,et al.Rapid and non-destructiveanalysis of apricot fruit quality using FT-near-infrared spec-troscopy[J].Food Chemistry,2009,113:1323-1328.
- [10]Camps C,Christen D.Non-destructive assessment of apri-cot fruit quality by portable visible-near infrared spectros-copy[J].LWT-Food Science and Technology,2009,42:1125-1131.
- [11]Saranwong S,Sornsrivichai J,Kawano S.Prediction of ripe-stage eating quality of mango fruit from its harvest qualitymeasured nondestructively by near infrared spectroscopy[J].Postharvest Biology and Technology,2004,31:137-145.
- [12]王敏,付蓉,赵秋菊,等.近红外光谱技术在果蔬品质无损检测中的应用[J].中国农学通报,2010,26(5)::174-178.
- [13]岳绒,郭文川,刘卉.近红外漫反射光谱检测损伤猕猴桃的内部品质[J].食品科学,2011,32(10):141-144.
- [14]Peirsa,Schenk A,Nicolaib M.Effect of natural variabilityamong apples on the accuracy of VIS-NIR calibration mod-els for optimal harvest date predictions[J].Postharvest Bi-ology and Technology,2005,35:1-13.
- [15]于海燕,应义斌,刘燕德.农产品品质近红外光谱分析结果影响因素研究综述[J].农业工程学报,2005,21(11):160-163.
- [16]苗福生,马毅,汪西原,等.不同预处理方法对PLS模型检测鲜长枣糖度的影响[J].宁夏大学学报:自然科学版,2011,32(2):130-133.
- [17]Pizarro C,Esteban-Diez I,Nistal A J,et al.Influence ofdata pre-processing on the quantitative determination of theash content and lipids in roasted coffee by near infraredspectroscopy[J].Analytica Chimica Acta,2004,509:217-227.
- [18]祝诗平,王刚,杨飞,等.粉碎成八种不同颗粒大小的粉末[J].光谱学与光谱分析,2008,28(4):775-779.
- [19]张仲源,刘静,管骁,等.近红外光谱分析技术在食品检测中的应用研究进展[J].食品与发酵工业,2011,37(11):159-165.
- [20]王小燕,王锡昌,刘源,等.近红外光谱技术在食品掺伪检测应用中的研究进展[J].食品科学,2011,32(1):265-269.