近红外光谱技术在养猪业中的应用研究进展
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摘要
近年来,近红外光谱技术在养猪业得到广泛的应用,如猪消化利用率、饲料营养价值的评定,猪的肉质以及胴体品质的测量及评定等。本文综述了国内外近红外光谱技术在养猪业的应用,并分析了其应用原理。
In recent years, near infrared reflectance spectroscopy(NIR) has been widely used in the pig industry, such as the evaluation of pig's digestion and utilization rate, the evaluation of the nutritional value of pig feed, and the measurement and assessment of pig meat quality and carcass quality. This paper summarized the application of near-infrared spectroscopy technology in the pig industry at home and abroad, and analyzed its application principle.
In recent years, near infrared reflectance spectroscopy(NIR) has been widely used in the pig industry, such as the evaluation of pig's digestion and utilization rate, the evaluation of the nutritional value of pig feed, and the measurement and assessment of pig meat quality and carcass quality. This paper summarized the application of near-infrared spectroscopy technology in the pig industry at home and abroad, and analyzed its application principle.
引文
[1]李玉鹏,李海花,朱琪,等.近红外光谱分析技术及其在饲料中的应用[J].中国饲料,2017(4)122-26.
[2]袁天军,王家俊.者为,等.近红外光谱法的应用及相关标准综述[J].中国农学通报.2013(20):190-196.
[3] Li J, Li Q, Li D, et al. Use of near-infrared reflectance spectroscopy for the rapid determination of the digestible energy and metabolizable energy content of corn fed to growing pigs[J].Journal of Animal Science and Biotechnology, 2016, 7:45.
[4] Tejerina D, Garcia-Torres S, Martin-Tornero E, et al.NIRS potential use for the determination of natural resources quality from dehesa(acorn and grass)in Montanera system for Iberian pigs[J]. Archivos deZootecnia, 2018,67(Suppl. 1):71-73.
[5] Crovetti A, Sirtori F, Aquilani C, et al. Predictive ability of FT-NIRS in the assessment of chemical composition of pork seasoned products[J]. Archivos de Zootecnia, 2018,67(Suppl. 1):151-154.
[6] Prieto N, Dugan MER, Juarez M, et al. Using portable near-infrared spectroscopy to predict pig subcutaneous fat composition and iodine value[J]. Canadian Journal of Animal Science, 2018, 98(2):221-229.
[7]刘晓红,王会,姚寒笑,等.AIR技术在食品中的应用[J].农产品加工,2018(3):68-71.
[8]陈丽菊,刘巍.近红外光谱分析技术及发展前景[J].现代物理知识,2006(2):10-11.
[9]何文.略论近红外光谱分析技术及其应用[J].化工管理,2018(31):62-63.
[10]冯豆,滕战伟,梁美娟,等.近红外光谱技术在动物营养领域中应用的研究进展[J].动物营养学报.2018(11):4349-4356.
[11]李天华.成熟期番茄品质近红外光谱无损检测技术研究[D].泰安二山东农业大学,2015.
[12] Zhou LJ,Zhang LY, Zhang EX, et al. Rapid determination of swine available energy and amino acids in corn distillers dried grains with solubles by near-infrared reflectance spectroscopy[J]. Animal Feed Science and Technology, 2012, 175(3-4):198-202.
[13]李军涛,李德发,李全丰.等.近红外反射光谱技术快速测定玉米生长猪有效能含量的研究[A].见:中国畜牧兽医学会动物营养学分会第七届中国饲料营养学术研讨会论文集[C].郑州,2014.
[14] Bastianelli D, Bonnal L, Jaguelin-Peyraud Y, et al. Predicting feed digestibility from NIRS analysis of pig faeces[J]. Animal, 2015, 9(5):781-786.
[15] Schiborra A, Bulang M, Berk A, et al. Using faecal near-infrared spectroscopy(FNIRS)to estimate nutrient digestibility and chemical composition of diets and faeces of growing pigs[J]. Animal Feed Science and Technology, 2015,210:234-242.
[16] Hetta M, Mussadiq Z, Wallsten J, et al. Prediction of nutritive values, morphology and agronomic characteristics in forage maize using two applications of NIRS spectrometry[J].Acta Agriculturae Scandinavica, Section B-Soil and Plant Science, 2017, 67(4):326-333.
[17] Bagchi TB, Sharma S, Chattopadhyay K. Development of NIRS models to predict protein and amylose content of brown rice and proximate compositions of rice bran[J]. Food Chemistry,2016,191:21-27.
[18]肖红,马富华,王粉琴,等.紫花苜蓿青贮饲料粗灰分含量的近红外评定方法研究[J].黑龙江畜牧兽医.2018(21):140-144.
[19]纳嵘,扈登强.近红外光谱法与常规化学分析法苜蓿营养成分的对比研究[J].畜牧与饲料科学,2018, 39(9):43-45.
[20]姜训鹏,雷恒,李海涛,等.不同饲料原料日粮纤维水平的近红外测定方法[J].农业机械学报,2016(S1):353-358.
[21]李守学,陈玉艳,贾铮,等.饲料添加剂L-赖氨酸硫酸盐中L-赖氨酸含量近红外速测方法研究[J].动物营养学报,2017(10):3710-3717.
[22] Huang H, Liu L, Ngadi MO. Assessment of intramuscular fat content of pork using NIR hyperspectral images of rib end[J].Journal of Food Engineering, 2017, 193:29-41.
[23] Huang H, Liu L, Ngadi MO. Quantitative evaluation of pork marbling score along Longissimus thoracis using NIR images of rib end[J]. Biosystems Engineering, 2017, 164:147-156.
[24] England EM, Matarneh SK, Mitacek RM, et al. Presence of oxygen and mitochondria in skeletal muscle early postmortem[J]. Meat Science, 2018, 139:97-106.
[25] Rich MM, Kaufmann D, Scheeder M. Prediction of the fatty acid composition in backfat of pigs as breeding tool[J].Agrarforschung Schweiz, 2016, 7(4):180-187.
[26]孙志超.近红外光猪胴瘦肉率测定技术研究[D].南京:南京航空航天大学,2017.
[27]魏云鹏,马万太,孙志超.近红外双光路光纤导入猪胴肥瘦率测定技术研究[J].肉类工业.2018(1):25-28.
[28]马一鸣,孙志超,冷晟.基于近红外光的猪胴体脂肪/瘦肉厚度无损测量研究[J].肉类工业,2016(3):24-27.
[29] Hua J, Zhao Y, Gao Y, et al. Rapid detection of fat content in meat with near infrared spectroscopy[J]. Spectroscopy and Spectral Analysis, 2017, 37(11):3424-3429.
[30] Mahrhauser D, Nagelreiter C, Gehrig S, et al. Assessment of Raman spectroscopy as a fast and non-invasive method for total stratum corneum thickness determination of pig skin[J].International Journal of Pharmaceutics, 2015, 495(1):482-484.
[31]邹昊,田寒友,刘飞,等.应用近红外技术快速预判生猪血液指标及劣质肉[J].肉类研究,2016(4):41-45.
[32]黄伟,杨秀娟.张燕鸣,等.近红外光谱技术在肉类定性鉴别中的研究进展[J].肉类研究,2014(1):31-34.
[33]杨莹,庄晓萌,张欣欣,等.近红外光谱技术评价肉品新鲜度的应用[J].吉林医药学院学报.2018(6):459-461.
[34]王昱陆.基于可见/近红外光谱的生鲜猪、牛、羊肉识别方法研究[D].乌鲁木齐:新疆农业大学,2015.
[35]李军山,高晗,张肖建,等.近红外光谱法快速测定猪去氧胆酸含量[J].中国现代中药,2016(5):588-590.
[36]晏红梅.猪粪成分分析与热值模型的构建[D].武汉:华中农业大学.2013.
[37]刘功明,孙京新,李鹏,等.近红外光谱法检测猪、牛、羊肉加热终点温度[J].中国食品学报,2017(8):221-228.
[38]黄伟.杨秀娟,张曦,等.近红外光谱鉴别滇南小耳猪和DLY商品猪[J].肉类研究.2016(4):35-40.
[2]袁天军,王家俊.者为,等.近红外光谱法的应用及相关标准综述[J].中国农学通报.2013(20):190-196.
[3] Li J, Li Q, Li D, et al. Use of near-infrared reflectance spectroscopy for the rapid determination of the digestible energy and metabolizable energy content of corn fed to growing pigs[J].Journal of Animal Science and Biotechnology, 2016, 7:45.
[4] Tejerina D, Garcia-Torres S, Martin-Tornero E, et al.NIRS potential use for the determination of natural resources quality from dehesa(acorn and grass)in Montanera system for Iberian pigs[J]. Archivos deZootecnia, 2018,67(Suppl. 1):71-73.
[5] Crovetti A, Sirtori F, Aquilani C, et al. Predictive ability of FT-NIRS in the assessment of chemical composition of pork seasoned products[J]. Archivos de Zootecnia, 2018,67(Suppl. 1):151-154.
[6] Prieto N, Dugan MER, Juarez M, et al. Using portable near-infrared spectroscopy to predict pig subcutaneous fat composition and iodine value[J]. Canadian Journal of Animal Science, 2018, 98(2):221-229.
[7]刘晓红,王会,姚寒笑,等.AIR技术在食品中的应用[J].农产品加工,2018(3):68-71.
[8]陈丽菊,刘巍.近红外光谱分析技术及发展前景[J].现代物理知识,2006(2):10-11.
[9]何文.略论近红外光谱分析技术及其应用[J].化工管理,2018(31):62-63.
[10]冯豆,滕战伟,梁美娟,等.近红外光谱技术在动物营养领域中应用的研究进展[J].动物营养学报.2018(11):4349-4356.
[11]李天华.成熟期番茄品质近红外光谱无损检测技术研究[D].泰安二山东农业大学,2015.
[12] Zhou LJ,Zhang LY, Zhang EX, et al. Rapid determination of swine available energy and amino acids in corn distillers dried grains with solubles by near-infrared reflectance spectroscopy[J]. Animal Feed Science and Technology, 2012, 175(3-4):198-202.
[13]李军涛,李德发,李全丰.等.近红外反射光谱技术快速测定玉米生长猪有效能含量的研究[A].见:中国畜牧兽医学会动物营养学分会第七届中国饲料营养学术研讨会论文集[C].郑州,2014.
[14] Bastianelli D, Bonnal L, Jaguelin-Peyraud Y, et al. Predicting feed digestibility from NIRS analysis of pig faeces[J]. Animal, 2015, 9(5):781-786.
[15] Schiborra A, Bulang M, Berk A, et al. Using faecal near-infrared spectroscopy(FNIRS)to estimate nutrient digestibility and chemical composition of diets and faeces of growing pigs[J]. Animal Feed Science and Technology, 2015,210:234-242.
[16] Hetta M, Mussadiq Z, Wallsten J, et al. Prediction of nutritive values, morphology and agronomic characteristics in forage maize using two applications of NIRS spectrometry[J].Acta Agriculturae Scandinavica, Section B-Soil and Plant Science, 2017, 67(4):326-333.
[17] Bagchi TB, Sharma S, Chattopadhyay K. Development of NIRS models to predict protein and amylose content of brown rice and proximate compositions of rice bran[J]. Food Chemistry,2016,191:21-27.
[18]肖红,马富华,王粉琴,等.紫花苜蓿青贮饲料粗灰分含量的近红外评定方法研究[J].黑龙江畜牧兽医.2018(21):140-144.
[19]纳嵘,扈登强.近红外光谱法与常规化学分析法苜蓿营养成分的对比研究[J].畜牧与饲料科学,2018, 39(9):43-45.
[20]姜训鹏,雷恒,李海涛,等.不同饲料原料日粮纤维水平的近红外测定方法[J].农业机械学报,2016(S1):353-358.
[21]李守学,陈玉艳,贾铮,等.饲料添加剂L-赖氨酸硫酸盐中L-赖氨酸含量近红外速测方法研究[J].动物营养学报,2017(10):3710-3717.
[22] Huang H, Liu L, Ngadi MO. Assessment of intramuscular fat content of pork using NIR hyperspectral images of rib end[J].Journal of Food Engineering, 2017, 193:29-41.
[23] Huang H, Liu L, Ngadi MO. Quantitative evaluation of pork marbling score along Longissimus thoracis using NIR images of rib end[J]. Biosystems Engineering, 2017, 164:147-156.
[24] England EM, Matarneh SK, Mitacek RM, et al. Presence of oxygen and mitochondria in skeletal muscle early postmortem[J]. Meat Science, 2018, 139:97-106.
[25] Rich MM, Kaufmann D, Scheeder M. Prediction of the fatty acid composition in backfat of pigs as breeding tool[J].Agrarforschung Schweiz, 2016, 7(4):180-187.
[26]孙志超.近红外光猪胴瘦肉率测定技术研究[D].南京:南京航空航天大学,2017.
[27]魏云鹏,马万太,孙志超.近红外双光路光纤导入猪胴肥瘦率测定技术研究[J].肉类工业.2018(1):25-28.
[28]马一鸣,孙志超,冷晟.基于近红外光的猪胴体脂肪/瘦肉厚度无损测量研究[J].肉类工业,2016(3):24-27.
[29] Hua J, Zhao Y, Gao Y, et al. Rapid detection of fat content in meat with near infrared spectroscopy[J]. Spectroscopy and Spectral Analysis, 2017, 37(11):3424-3429.
[30] Mahrhauser D, Nagelreiter C, Gehrig S, et al. Assessment of Raman spectroscopy as a fast and non-invasive method for total stratum corneum thickness determination of pig skin[J].International Journal of Pharmaceutics, 2015, 495(1):482-484.
[31]邹昊,田寒友,刘飞,等.应用近红外技术快速预判生猪血液指标及劣质肉[J].肉类研究,2016(4):41-45.
[32]黄伟,杨秀娟.张燕鸣,等.近红外光谱技术在肉类定性鉴别中的研究进展[J].肉类研究,2014(1):31-34.
[33]杨莹,庄晓萌,张欣欣,等.近红外光谱技术评价肉品新鲜度的应用[J].吉林医药学院学报.2018(6):459-461.
[34]王昱陆.基于可见/近红外光谱的生鲜猪、牛、羊肉识别方法研究[D].乌鲁木齐:新疆农业大学,2015.
[35]李军山,高晗,张肖建,等.近红外光谱法快速测定猪去氧胆酸含量[J].中国现代中药,2016(5):588-590.
[36]晏红梅.猪粪成分分析与热值模型的构建[D].武汉:华中农业大学.2013.
[37]刘功明,孙京新,李鹏,等.近红外光谱法检测猪、牛、羊肉加热终点温度[J].中国食品学报,2017(8):221-228.
[38]黄伟.杨秀娟,张曦,等.近红外光谱鉴别滇南小耳猪和DLY商品猪[J].肉类研究.2016(4):35-40.