浏览全部资源
扫码关注微信
华东交通大学 光机电技术及应用研究所,江西 南昌,330013
Received:13 March 2016,
Revised:29 April 2016,
Published:05 September 2016
移动端阅览
刘燕德, 谢庆华, 王海阳等. 不同成熟度双孢菇硬度的拉曼光谱无损检测[J]. 发光学报, 2016,37(9): 1135-1141
LIU Yan-de, XIE Qing-hua, WANG Hai-yang etc. Non-destructive Detection of Different Maturity Agaricus Bisporus Firmness Based on Raman Spectroscopy[J]. Chinese Journal of Luminescence, 2016,37(9): 1135-1141
刘燕德, 谢庆华, 王海阳等. 不同成熟度双孢菇硬度的拉曼光谱无损检测[J]. 发光学报, 2016,37(9): 1135-1141 DOI: 10.3788/fgxb20163709.1135.
LIU Yan-de, XIE Qing-hua, WANG Hai-yang etc. Non-destructive Detection of Different Maturity Agaricus Bisporus Firmness Based on Raman Spectroscopy[J]. Chinese Journal of Luminescence, 2016,37(9): 1135-1141 DOI: 10.3788/fgxb20163709.1135.
以拉曼光谱技术结合化学计量学方法实现两类不同成熟度的双孢菇菌盖硬度的建模预测分析。将菌盖直径平均值2~3 cm的样品划为Ⅰ类成熟度,3~5 cm为Ⅱ类。对两类样品分别取65个进行光谱采集并测量硬度,分别采用标准正态变量变换、基线校正、一阶导数、二阶导数4种方法预处理,建立偏最小二乘模型(PLS)。比较模型效果得出最佳预处理方法均为一阶导,但Ⅰ类建模的预测相关系数(
R
p
)和均方根误差(RMSEP)分别为0.887和0.444,Ⅱ类的
R
p
和RMSEP分别为0.896和0.435。结果表明Ⅱ类成熟度蘑菇的硬度预测比Ⅰ类更为准确,在同等条件下,Ⅱ类蘑菇硬度的变化更可准确预测,其贮藏保鲜更有规律可循。
The firmness model of agaricus bisporus pileus was established by using Raman spectroscopy combined with chemometric methods. With the help of PinPoniter
TM
portable Raman spectrometer
rapid and nondestructive for agaricus bisporus firmness prediction was studied. According to the average pileus diameter
the samples with pileus diameter of 2-3 cm were classified as class Ⅰ maturity
3-5 cm as class Ⅱ. 65 samples of each type were used to collect spectrum and measure firmness. The data were pretreated by four methods of 1st derivatives
2nd derivatives
standard normal variate and baseline
respectively. The model of partial least square was established. The best effect of both model was 1st derivative
but the correlation coefficient (
R
p
) and root mean square error of prediction (RMSEP) of Ⅰ were 0.887 and 0.444
respectively. Class Ⅱ's
R
p
and RMSEP were 0.896 and 0.435
respectively. The results show that the prediction of class Ⅱ mushroom firmness is more accurate than classⅠ. Under the same conditions
the more feasible storage measures can be implemented for class Ⅱ mushroom
so we shall try to capture the pileus diameter of 3-5 cm of agaricus bisporus for production
processing and daily sales.
吴素玲,孙晓明,王波,等.双孢蘑菇子实体营养成分分析[J]. 中国野生植物资源, 2006, 25(2):47-48. WU S L, SUN X M, WANG B, et al.. Analysis of main nutrition components in agaricus brunnescens fruit bodies[J]. Chin. Wild Plant Resour., 2006, 25(2):47-48. (in Chinese)
孟德梅,申琳,陆军,等. 双孢菇采后感官品质变化的因素分析与保鲜技术研究进展[J]. 食品科学, 2010, 31(15):283-287. MENG D M, SHEN L, LU J, et al.. Research progress in analysis of factors affecting sensory quality and preservation techniques for post-harvested agaricus bisporus[J]. Food Sci., 2010, 31(15):283-287. (in Chinese)
刘灿,生吉萍,申琳. 不同成熟度双孢菇子实体主要营养元素与矿物质的光谱分析[J]. 光谱学与光谱分析, 2010, 30(10):2820-2823. LIU C, SHENG J P, SHEN L. Spectral analysis of some nutrien ts and minerals in agaricus bisporus fruit bodies harvested at four different maturity stages[J]. Specrosc. Spect. Anal., 2010, 30(10):2820-2823. (in Chinese)
王娟,张荣芳,王相友. 双孢蘑菇硬度的近红外漫反射光谱无损检测[J]. 农业机械学报, 2012, 43(11):163-168. WANG J, ZHANG R F, WANG X Y. Non-destructive detection of Agaricus bisporus firmness based on near-infrared diffused spectroscopy[J]. Trans. Chin. Soc. Agric., 2012, 43(11):163-168. (in Chinese)
刘宗博,李大婧,李德海,等. 3种预处理方式对双孢菇干制品品质的影响[J]. 食品科学, 2015, 36(19):72-76. LIU Z B, LI D J, LI D H, et al.. Effects of different pretreatments on the quality of dried Agaricus bisporus products[J]. Food Sci., 2015, 36(19):72-76. (in Chinese)
张强,王松华,祝嫦巍,等. 两种复配保鲜剂对双孢菇保鲜作用的研究[J]. 现代食品科技, 2013, 29(10):2431-2435. ZHANG Q, WANG S H, ZHU C W, et al.. Effects of two compound preservatives on Agaricus bisporus[J]. Mod. Food Sci. Technol., 2013, 29(10):2431-2435. (in Chinese)
TAKAHASHI Y, SHISHIDO T, YAMAMOTO K, et al.. Do formalin fixation and freeze-thaw affect near-infrared Raman spectroscopy of cartilaginous tissue? A preliminary ex vivo analysis of native human articular cartilage[J]. J. Raman Spectrosc., 2015, 46(11):1166-1172.
LI Y S, CHURCH J S. Raman spectroscopy in the analysis of food and pharmaceutical nanomaterials[J]. J. Food Drug Anal., 2014, 22(1):29-48.
YANG D T, YING Y B. Applications of Raman spectroscopy in agricultural products and food analysis:a review[J]. Appl. Spectrosc. Rev., 2011, 46(7):539-560.
PIOT O, AUTRAN J C, MANFAIT M. Spatial distribution of protein and phenolic constituents in wheat grain as probed by confocal Raman microspectroscopy[J]. J. Cereal Sci., 2000, 32(1):57-71.
REZVANYVARDOM M, NEJAD T G, FARSHIDI E, et al.. A 5-bit time to digital converter using time to voltage conversion and integrating techniques for agricultural products analysis by Raman spectroscopy[J]. Inform. Proc. Agric., 2014, 1(2):124-130.
BEATTIE J R, BELL S E J, BORGGAARD C, et al.. Preliminary investigations on the effects of ageing and cooking on the Raman spectra of porcine longissimus dorsi[J]. Meat Sci., 2008, 80(4):1205-1211.
NGARIZE S, ADAMS A, HOWELL N K. Studies on egg albumen and whey protein interactions by FT-Raman spectroscopy and rheology[J]. Food Hydrocoll., 2004, 18(1):49-59.
ALMEIDA M R, OLIVEIRA K D S, STEPHANI R, et al.. Fourier-transform Raman analysis of milk powder:a potential method for rapid quality screening[J]. J. Raman Spectrosc., 2011, 42(7):1548-1552.
BEATTIE R J, BELL S J, FARMER L J, et al.. Preliminary investigation of the application of Raman spectroscopy to the prediction of the sensory quality of beef silverside[J]. Meat Sci., 2004, 66(4):903-913.
DA SILVA C E, VANDENABEELE P, EDWARDS H G M, et al.. NIR-FT-Raman spectroscopic analytical characterization of the fruits, seeds, and phytotherapeutic oils from rosehips[J]. Anal. Bioanal. Chem., 2008, 392(7-8):1489-1496.
MALEKFAR R, NIKBAKHT A M, S ABBASIAN, et al.. Evaluation of tomato juice quality using surface enhanced Raman spectroscopy[J]. Acta Phys. Polon. A, 2010, 117(6):971-973.
药林桃,刘木华,王映龙. 基于激光拉曼光谱的脐橙内部品质无损检测[J]. 农业工程学报, 2008, 24(11):233-236. YAO L T, LIU M H, WANG Y L. Nondestructive measurement of inner-quality of navel orange based on laser Raman spectroscopy[J]. Trans. Chin. Soc. Agric. Eng., 2008, 24(11):233-236. (in Chinese)
MARQUARDT B J, WOLD J P. Raman analysis of fish:a potential method for rapid quality screening[J]. LWT-Food Sci. Technol., 2004, 37(1):1-8.
RODRIGUES JNIOR P H, DE S OLIVEIRA K, DE ALMEIDA C E R, et al.. FT-Raman and chemometric tools for rapid determination of quality parameters in milk powder:classification of samples for the presence of lactose and fraud detection by addition of maltodextrin[J]. Food Chem., 2016, 196:584-588.
SANVIDO G B, GARCIA J S, CORILO Y E, et al.. Fast screening and secure confirmation of milk powder adulteration with maltodextrin via electrospray ionization-mass spectrometry[ESI(+)-MS] and selective enzymatic hydrolysis[J]. J. Agric. Food Chem., 2010, 58(17):9407-9412.
GARCIA J S, SANVIDO G B, SARAIVA S A, et al.. Bovine milk powder adulteration with vegetable oils or fats revealed by MALDI-QTOF MS[J]. Food Chem., 2012, 131(2):722-726.
李永玉,彭彦昆,孙云云,等. 拉曼光谱技术检测苹果表面残留的敌百虫农药[J]. 食品安全质量检测学报, 2012, 3(6):672-675. LI Y Y, PENG Y K, SUN Y Y, et al.. Detection of trichlorfon pesticide on apple' surface based on Raman spectroscopy[J]. J. Food Saf. Qual., 2012, 3(6):672-675. (in Chinese)
张萍,郑大威,刘晶,等. 基于表面增强拉曼光谱技术的豆芽6-BA残留快速检测方法[J]. 光谱学与光谱分析, 2012, 32(5):1266-1269. ZHANG P, ZHENG D W, LIU J, et al.. Rapid detection of 6-benzylaminopurine residues in sprout beans by surface-enhanced Raman spectroscopy[J]. Spectrosc. Spect. Anal., 2012, 32(5):1266-1269. (in Chinese)
周秀军,戴连奎. 基于最小二乘支持向量机的橄榄油掺杂拉曼快速鉴别方法[J]. 光散射学报, 2013, 25(2):176-182. ZHOU X J, DAI L K. Fast discrimination of olive oil adulteration based on Raman spectra using least squares support vector machine[J]. J. Light Scatt., 2013, 25(2):176-182. (in Chinese)
NAJMAEI S, LIU Z, AJAYAN P M, et al.. Thermal effects on the characteristic Raman spectrum of molybdenum disulfide (MoS2) of varying thicknesses[J]. Appl. Phys. Lett., 2012, 100(1):013106-1-4.
翟晨,彭彦昆,李永玉,等. 基于拉曼光谱的苹果中农药残留种类识别及浓度预测的研究[J]. 光谱学与光谱分析, 2015, 35(8):2180-2185. ZHAI C, PENG Y K, LI Y Y, et al.. Research on identification and determination of pesticides in apples using Raman spectroscopy[J]. Spectrosc. Spect. Anal., 2015, 35(8):2180-2185. (in Chinese)
章顺楠,杨海雷,刘占强,等. 近红外光谱法在线监测复方丹参滴丸料液中有效成分含量[J]. 药物分析杂志, 2009, 29(2):192-196. ZHANG S N, YANG H L, LIU Z Q, et al.. On-line monitoring the contents of active components in the solution for Fufangdanshen dripping pills by near-infrared spectroscopy[J]. Chin. J. Pharm. Anal., 2009, 29(2):192-196. (in Chinese)
刘家祥,方勇华,崔方晓,等. 多角度红外差分吸收光谱的化学污染物在线检测方法[J]. 光子学报, 2015, 44(7):0730002. LIU J X, FANG Y H, CUI F X, et al.. Research on in situ detection of chemical contaminants based on multi-angle infrared differential absorption spectra[J]. Acta Photon. Sinica, 2015, 44(7):0730002.(in Chinese)
0
Views
231
下载量
2
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution