基于PLSR及红外光谱技术的冻干过程诺丽果粉水分含量预测
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摘要
以经喷雾干燥加工的水分含量为15.33%的诺丽果粉为原料,采用真空冷冻干燥机干燥不同时间后,获得不同含水量(0.44%~9.00%)的样本,并结合偏最小二乘回归分析(PLSR)建立诺丽果粉在真空冷冻干燥过程中水分含量与红外光谱的定量模型。试验结果表明,水分的红外光谱吸收峰出现在1 640cm~(-1)左右;冷冻干燥的时间越长,诺丽果粉水分含量越少,吸收峰值越弱。水分含量在0.44%~9.00%时,所建PLSR预测模型的决定系数为0.91,交互验证均方根误差为0.62;而水分含量在5.00%~9.00%时,所建PLSR预测模型的决定系数为0.98,交互验证均方根误差为0.26。说明该方法可用于真空冷冻干燥过程中诺丽果粉水分含量(0.44%~9.00%)的快速预测,且当水分含量为5.00%~9.00%时,模型准确度更高。
Noni powders with the moisture content of 15.33% were prepared from fresh noni fruit by spray drying,then vacuum freeze drying to obtain samples with moisture content(0.44%~9.00%)by different dying time respectively.Then the model between IR and water content of all samples with partial least squares regression(PLSR)was established.The results showed that IR absorption peak of water appeared about 1 640 cm~(-1),and the absorption peak was influenced by the freeze drying time.PLSR model with moisture content in range of 0.44% ~9.00% in the noni fruit powder was also built,and the square of determination coefficient for prediction is 0.91,with the interactive authentication root mean square error(RMSECV)0.62.However,the square of determination coefficient for prediction was 0.98,with the interactive authentication root mean square error(RMSECV)0.26 in the model for moisture content in the noni fruit powder from 5.00% to 9.00%.It showed that the predicted value of moisture content was close to the measured value.The infrared spectroscopy could be used to detect the content of the water(0.44% ~9.00%)in the noni fruit with high accuracy in the moisture content range from 5.00% to 9.00%.
Noni powders with the moisture content of 15.33% were prepared from fresh noni fruit by spray drying,then vacuum freeze drying to obtain samples with moisture content(0.44%~9.00%)by different dying time respectively.Then the model between IR and water content of all samples with partial least squares regression(PLSR)was established.The results showed that IR absorption peak of water appeared about 1 640 cm~(-1),and the absorption peak was influenced by the freeze drying time.PLSR model with moisture content in range of 0.44% ~9.00% in the noni fruit powder was also built,and the square of determination coefficient for prediction is 0.91,with the interactive authentication root mean square error(RMSECV)0.62.However,the square of determination coefficient for prediction was 0.98,with the interactive authentication root mean square error(RMSECV)0.26 in the model for moisture content in the noni fruit powder from 5.00% to 9.00%.It showed that the predicted value of moisture content was close to the measured value.The infrared spectroscopy could be used to detect the content of the water(0.44% ~9.00%)in the noni fruit with high accuracy in the moisture content range from 5.00% to 9.00%.
引文
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[2]WEST B J,JENSEN C J,WESTENDORF J.Noni juice is not hepatotoxic[J].World Journal of Gastroenterology,2006,22(6):51-52.
[3]曾安,陈仓,陈闽杰.红外光谱法检测润滑油中水分含量的研究[J].润滑与密封,2009,34(9):102-104,119.
[4]王相友,魏忠彩,孙传祝,等.胡萝卜切片红外辐射干燥水分迁移特性研究[J].农业机械学报,2015,46(12):240-245.
[5]周镇华,谢顺康.水分红外测量原理及方法[J].半导体光电,1992,13(2):114-117,125.
[6]孙巧红,伊博文,闫小平,等.多功能红外水分测定仪快速测定颗粒剂水分含量[J].时珍国医国药,2016,27(10):2 408-2 409.
[7]刘世龙.红外光谱法对玉米粉和乙醇中水分含量的检测研究[D].长春:长春理工大学,2010:6-10.
[8]黄红梅,李亮星,陈文静,等.大豆油煎炸过程的衰减全反射红外光谱跟踪分析[J].化学研究与应用,2016,28(8):1 169-1 173.
[9]王凯悦,廖小伟,刘红,等.干燥条件对海巴戟天果中水分和蒽醌类化合物含量的影响[J].海南师范大学学报:自然科学版,2016,29(1):55-60.
[10]张晓青,牛鹤颖,何云啸,等.基于红外光谱技术快速检测椰子油氧化指标的研究[J].海南师范大学学报:自然科学版,2016,29(3):293-296,332.
[11]POGORELOV V,DOROSHENKO I,PITSEVICH G,et al.From clusters to condensed phase-FT IR studies of water[J].Journal of Molecular Liquids,2017,235:7-10.
[12]STAACK N,AHRNL,BORC E,et al.Effects of temperature,pH,and controlled water activity on inactivation of spores of Bacillus cereus in paprika powder by near-IR radiation[J].Journal of Molecular Liquids,2008,89(3):319-324.
[13]KEVORKVANTS R,RUDAKOVA A V,CHIZHOV Y V,et al.The origin of 1 560cm-1 band in experimental IR spectra of water absorb on TiO2 surface:Ab initio assessment[J].Chemical Physics Letters,2016,662(1):97-101.
[14]吴晓磊,张寄阳,刘浩,等.基于红外热像仪的棉花水分状况诊断方法[J].应用生态学报,2016,27(1):165-172.
[15]陈乐,张华峰,郝淼,等.淫羊藿水分和灰分的近红外快速检测[J].中草药,2015,46(9):1 368-1 373.
[16]朱逢乐,何勇,邵咏妮.应用近红外高光谱成像预测三文鱼肉的水分含量[J].光谱学与光谱分析,2015,35(1):113-117.
[17]刘聪,郭康权,张强,等.基于近红外光谱的室温贮藏下鲜枣霉菌污染动力学模型[J].农业工程学报,2013,29(1):278-284.
[18]汪岳刚,邓云,王丹凤,等.鱿鱼片远红外热泵干燥中水分迁移及品质变化[J].食品与机械,2013,29(6):34-37,53.
[19]黄春燕,王登伟,肖莉娟,等.基于红外热图像的水分胁迫指数与叶片水势的关系研究[J].红外,2013,34(10):44-48.