近红外光谱技术在动物生产中的应用

doi:10.16431/j.cnki.1671-7236.2024.12.016

摘要/Abstract

摘要： 随着现代信息技术的快速发展，近红外光谱技术(near-infrared reflectance spectroscopy，NIRS)凭借检测时能够保持样本完整性和多组分快速分析的特点被广泛应用于农业领域。当波长范围在800～2 500 nm时，NIRS依靠含氢官能团振动的倍频与合频吸收特定频率的光，从而产生表明分子组成的泛音与组合振动，形成光谱数据，然后对光谱数据进行处理，得到样本的定性与定量特征。在动物生产中，饲料的营养价值评定和动物性产品品质分析至关重要。NIRS与动物生产相结合，有利于饲料常规养分快速检测，确保动物体营养均衡，同时对动物产品品质进行把控，满足市场需求。作者介绍了NIRS的发展历程和应用原理，重点综述了NIRS在动物生产中的应用和效果评价，以期为NIRS在动物生产中的应用提供参考。

关键词: 近红外光谱技术(NIRS); 动物生产; 饲料营养价值

Abstract: With the swift advancement of modern information technology,near-infrared reflectance spectroscopy (NIRS) has gained widespread application in the field of agriculture,favored for its capabilities in preserving sample integrity and rapidly analyzing multiple components during testing.Within the wavelength range of 800 to 2 500 nm,NIRS captures spectral data through the harmonic and combination vibrational absorption of specific frequencies of light by hydrogen-containing functional groups,which yields overtone and combinational vibrations indicative of molecular composition.This spectral data is subsequently processed to obtain qualitative and quantitative attributes of the sample.The animal production process is intimately connected to human sustenance and apparel,in this domain,the assessment of nutritional value in animal feed and the analysis of the quality of animal products are of critical importance.The amalgamation of NIRS with animal husbandry encourages the expeditious evaluation of standard nutrients in feed,ensuring the equilibrium of nutrition in animals and the monitoring of product quality to meet market demands.The authors chronicle the developmental history and principles of application of NIRS,with a focused synthesis of its application and effectiveness in animal production,providing a reference for the future utilization of NIRS in this vital field.

Key words: near-infrared reflectance spectroscopy (NIRS); animal production; feed nutrient value

中图分类号:

S816

程柳洋, 仲崇亮, 骆雅萍, 刘洋, 辛杭书. 近红外光谱技术在动物生产中的应用[J]. 中国畜牧兽医, 2024, 51(12): 5277-5289.

CHENG Liuyang, ZHONG Chongliang, LUO Yaping, LIU Yang, XIN Hangshu. Application of Near-infrared Reflectance Spectroscopy Technology in Animal Production[J]. China Animal Husbandry and Veterinary Medicine, 2024, 51(12): 5277-5289.

参考文献

[1] EVANGELISTA C, BASIRICÒ L, BERNABUCCI U.An overview on the use of near infrared spectroscopy (NIRS) on farms for the management of dairy cows[J].Agriculture, 2021, 11(4):296.
[2] ZHANG Y, QIAO J.Near-infrared emitting iridium complexes:Molecular design, photophysical properties, and related applications[J].iScience, 2021, 24(8):102858.
[3] VITORINO R, BARROS A S, GUEDES S, et al.Diagnostic and monitoring applications using near infrared (NIR) spectroscopy in cancer and other diseases[J].Photodiagnosis and Photodynamic Therapy, 2023, 42:103633.
[4] MVLLER-MAATSCH J, VAN RUTH S M.Handheld devices for food authentication and their applications:A review[J].Foods, 2021, 10(12):2901.
[5] HERSCHEL W.Experiments on the refrangibility of the invisible rays of the sun[J].Philosophical Transactions of the Royal Society, 1832, 1:22-23.
[6] ABNEY W D W, FESTING L C.XX, On the influence of the atomic grouping in the molecules of organic bodies on their absorption in the infra-red region of the spectrum[J].Philosophical Transactions of the Royal Society, 1881, 172:887-918.
[7] PAULING L.The shared-electron chemical bond[J].Proceedings of the National Academy of Sciences of the United States of America, 1928, 14(4):359-362.
[8] KAYE W.Near-infrared spectroscopy:Ⅱ.Instrumentation and technique a review[J].Spectrochimica Acta, 1955, 7:181-204.
[9] BRANT A W, NORRIS K H, CHIN G.A spectrophotometric method for detecting blood in white-shell eggs[J].Poultry Science, 1953, 32(2):357-363.
[10] JOLIOT P, DELOSME R.Flash-induced 519 nm absorption change in green algae[J].Biochimica et Biophysica Acta, 1974, 357(2):267-284.
[11] ZHU C, FU X, ZHANG J, et al.Review of portable near infrared spectrometers:Current status and new techniques[J].Journal of Near Infrared Spectroscopy, 2022, 30(2):51-66.
[12] KELLEY S, RIALS T, SNELL R, et al.Use of near infrared spectroscopy to measure the chemical and mechanical properties of solid wood[J].Wood Science and Technology, 2004, 38(4):257-276.
[13] DU Z, TIAN W, TILLEY M, et al.Quantitative assessment of wheat quality using near-infrared spectroscopy:A comprehensive review[J].Comprehensive Reviews in Food Science and Food Safety 2022, 21(3):2956-3009.
[14] GIVENS D I, DE BOEVER J L, DEAVILLE E R.The principles, practices and some future applications of near infrared spectroscopy for predicting the nutritive value of foods for animals and humans[J].Nutrition Research Reviews, 1997, 10(1):83-114.
[15] 刘建学, 尹晓慧, 韩四海, 等.便携式近红外光谱仪研究进展[J].河南农业大学学报, 2019, 53(4):662-670.LIU J X, YIN X H, HAN S H, et al.Review of portable near-infrared spectrometers[J].Journal of Henan Agricultural University, 2019, 53(4):662-670.(in Chinese)
[16] 苏美.近红外光谱技术在黄芪提取物质量评价中的应用研究[D].济南:山东大学, 2020.SU M.Application of near infrared spectroscopy in quality evaluation of Astragalus extract[D].Jinan:Shandong University, 2020.(in Chinese)
[17] 张丽娟.基于近红外光谱技术对蓝莓果渣检测模型优化的研究[D].杭州:中国计量大学, 2020.ZHANG L J.Research on the optimization of blueberry pomace detection model based on near-infrared spectroscopy[D].Hangzhou:China Jiliang University, 2020.(in Chinese)
[18] 王淑贤.基于近红外光谱技术的普洱茶品质检测分析[D].济南:山东大学, 2020.WANG S X.Quality detection and analysis of Pu’er tea based on near-infrared spectroscopy[D].Jinan:Shandong University, 2020.(in Chinese)
[19] 褚小立, 袁洪福, 陆婉珍.近红外分析中光谱预处理及波长选择方法进展与应用[J].化学进展, 2004, 16(4):528-542.CHU X L, YUAN H F, LU W Z.Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique[J].Progress in Chemistry, 2004, 16(4):528-542.(in Chinese)
[20] LORD N, SHANG C, ROSSO L, et al.Development of near-infrared reflectance spectroscopy calibration for sugar content in ground soybean seed using Perten DA7250 analyzer[J].Crop Science, 2021, 61(2):966-975.
[21] DE BLEYE C, CHAVEZ P F, MANTANUS J, et al.Critical review of near-infrared spectroscopic methods validations in pharmaceutical applications[J].Journal of Pharmaceutical and Biomedical Analysis, 2012, 69:125-132.
[22] NORRIS K H, BARNES R F, MOORE J E, et al.Predicting forage quality by infrared replectance spectroscopy[J].Journal of Animal Science, 1976, 43(4):889-897.
[23] 杨雪萍, 陈菲, 倪奎奎, 等.近红外光谱分析技术在青贮饲料营养品质检测评价上的研究进展[J].饲料工业, 2020, 41(10):19-23.YANG X P, CHEN F, NI K K, et al.Research progress of near infrared reflectance spectroscopy (NIRS) on silage [J].Feed Industry, 2020, 41(10):19-23.(in Chinese)
[24] 沈广辉, 刘贤, 张月敬, 等.基于在线近红外光谱快速检测玉米籽粒主要品质参数的研究[J].中国畜牧杂志, 2017, 53(1):105-109.SHEN G H, LIU X, ZHANG Y J, et al.Rapid detection of main quality parameters of maize kernel based on on-line near infrared spectroscopy [J].Chinese Journal of Animal Science, 2017, 53(1):105-109.(in Chinese)
[25] 张乐, 吴静珠, 李江波, 等.单粒玉米种子水分近红外快速无损测定模型研究[J].中国粮油学报, 2020, 35(9):130-133.ZHANG L, WU J Z, LI J B, et al.The model of rapid near-infrared nondestructive determination of water content in single maize seed[J].Journal of the Chinese Cereals and Oils Association, 2020, 35(9):130-133.(in Chinese)
[26] 郭丽丽.便携式近红外仪在反刍动物饲料质量分析中的应用研究[D].北京:中国农业科学院, 2021.GUO L L.Research on the application of portable near-infrared instrument in the analysis of ruminant feed quality[D].Beijing:Chinese Academy of Agricultural Sciences, 2021.(in Chinese)
[27] 王新基, 郭涛, 潘发明, 等.利用近红外光谱技术快速分析全株玉米青贮营养成分[J].家畜生态学报, 2021, 42(1):52-55.WANG X J, GUO T, PAN F M, et al.Rapid analysis of nutritional components of whole plant silage using near-infrared spectroscopy[J].Journal of Domestic Animal Ecology, 2021, 42(1):52-55.(in Chinese)
[28] SØRENSEN L K.Prediction of fermentation parameters in grass and corn silage by near infrared spectroscopy[J].Journal of Dairy Science, 2004, 87(11):3826-3835.
[29] 岳嘉豪.基于便携式近红外光谱仪的苜蓿干草品质参数模型建立[D].哈尔滨:东北农业大学, 2023.YUE J H.A model of alfalfa hay quality parameters based on portable near-infrared spectroscopy was established[D].Harbin:Northeast Agricultural University, 2023.(in Chinese)
[30] 纳嵘, 任晋东, 胡波, 等.基于不同预处理方法建立苜蓿营养成分近红外快速分析模型的研究[J].家畜生态学报, 2021, 42(12):37-43.NA R, REN J D, HU B, et al.Establishment of near infrared quantitative analysis model for nutritional components in alfalfa based on different pre-treatment methods [J].Journal of Domestic Animal Ecology, 2021, 42(12):37-43.(in Chinese)
[31] 曹明月, 郑爱荣, 娄渊志, 等.奶牛全混合日粮常规营养成分含量近红外快速检测模型的构建与应用[J].动物营养学报, 2020, 32(7):3420-3427.CAO M Y, ZHENG A R, LOU Y Z, et al.Construction and application of near infrared reflectance spectroscope rapid detection model for routine nutritional components contents of total mixed ration in dairy cattle [J].Chinese Journal of Animal Nutrition, 2020, 32(7):3420-3427.(in Chinese)
[32] QI W, TIAN Y, LU D, et al.Research progress of applying infrared spectroscopy technology for detection of toxic and harmful substances in food[J].Foods, 2022, 11(7):930.
[33] SWEENEY M J, DOBSON A D W.Mycotoxin production by Aspergillus, Fusarium and Penicillium species[J].International Journal of Food Microbiology, 1998, 43(3):141-158.
[34] ZHENG S, WEI Z, LI S, et al.Near-infrared reflectance spectroscopy-based fast versicolorin A detection in maize for early aflatoxin warning and safety sorting[J].Food Chemistry, 2020, 332:127419.
[35] TAO F, YAO H, HRUSKA Z, et al.Use of visible-near-infrared (Vis-NIR) spectroscopy to detect aflatoxin B₁ on peanut kernels[J].Applied Spectroscopy, 2019, 73(4):415-423.
[36] TYSKA D, MALLMANN A O, VIDAL J K, et al.Multivariate method for prediction of fumonisins B₁ and B₂ and zearalenone in Brazilian maize using near infrared spectroscopy (NIR)[J].The Public Library of Science, 2021, 16(1):e0244957.
[37] LIM J, KIM G, MO C, et al.Classification of fusarium-infected korean hulled barley using near-infrared reflectance spectroscopy and partial least squares discriminant analysis[J].Sensors, 2017, 17(10):2258.
[38] 何鸿举, 王魏, 马汉军, 等.近红外光谱技术在肉品掺假检测方面的研究进展[J].食品工业科技, 2020, 41(3):345-350.HE H J, WANG W, MA H J, et al.Research progress on near-infrared spectroscopy for meat adulteration[J]. Science and Technology of Food Industry, 2020, 41(3):345-350.(in Chinese)
[39] 苗钧魁, 张雅婷, 刘小芳, 等.近红外光谱技术在南极磷虾粉水分、脂肪和蛋白质含量快速检测中的应用食品与发酵工业, 2022, 48(4):243-249.MIAO J K, ZHANG Y T, LIU X F, et al.Application of near infrared spectroscopy (NIR) technology in the rapid detection of protein, fat and moisture content of Antarctic krill (Euphausia superba) meal[J].Food and Fermentation Industries, 2022, 48(4):243-249.(in Chinese)
[40] ZUO J, PENG Y, LI Y, et al.Nondestructive detection of nutritional parameters of pork based on NIR hyperspectral imaging technique[J].Meat Science, 2023, 202:109204.
[41] PRIETO N, DUGAN M E R, JUÁREZ 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.
[42] 许倩, 朱秋劲, 叶春, 等.近红外光谱分析技术快速检测冰温贮藏牛肉品质[J].肉类研究, 2015, 29(3):23-26.XU Q, ZHU Q J, YE C, et al.Application of near infrared spectroscopy in rapid evaluation of beef quality in controlled freezing point storage[J].Meat Research, 2015, 29(3):23-26.(in Chinese)
[43] DE LA ROZA-DELGADO B, GARRIDO-VARO A, SOLDADO A, et al.Matching portable NIRS instruments for in situ monitoring indicators of milk composition[J].Food Control, 2017, 76:74-81.
[44] LLANO S P, SOLDADO A, GONZÁLEZ-ARROJO A, et al.Rapid on-site monitoring of fatty acid profile in raw milk using a handheld near infrared sensor[J].Journal of Food Composition and Analysis, 2018, 70:1-8.
[45] 王明, 于峰, 刘新, 等.采用近红外漫反射技术对牛奶中蛋白质、脂肪检测[J].激光杂志, 2015, 36(1):70-73.WANG M, YU F, LIU X, et al.Detection of protein, fat in milk by using near infrared diffuse reflectance technique[J].Laser Journal, 2015, 36(1):70-73.(in Chinese)
[46] 黄珏, 王正亮, 李慕雨, 等.基于电子舌和近红外光谱技术的进口牛肉产地溯源[J].中国食品学报, 2021, 21(12):254-260.HUANG J, WANG Z L, LI M Y, et al.Origin traceability of imported beef based on electronic tongue and NIR spectra[J].Journal of Chinese Institute of Food Science and Technology, 2021, 21(12):254-260.(in Chinese)
[47] 杨旭宁, 郭中华, 吴忻怡, 等.基于Matlab GUI的羊肉产地鉴别平台设计[J].现代电子技术, 2019, 42(12):21-24.YANG X N, GUO Z H, WU X Y, et al.Design of mutton origin place identification platform based on Matlab GUI[J].Modern Electronics Technique, 2019, 42(12):21-24.(in Chinese)
[48] BEHKAMI S, ZAIN S M, GHOLAMI M, et al.Classification of cow milk using artificial neural network developed from the spectral data of single- and three-detector spectrophotometers[J].Food Chemistry, 2019, 294:309-315.
[49] 孙鹏飞, 王睿晗, 吴慧光, 等.浅析各种乳制品掺假的鉴定方法[J].中国奶牛, 2022，12:54-57.SUN P F, WANG R H, WU H G, et al.Analyses the authenticity identification methods of milk products[J].China Dairy Cattle, 2022, 12:54-57.(in Chinese)
[50] 邓凯东, 陆牡龙, 潘文静, 等.基于近红外反射光谱快速检测豆粕中掺假菜籽粕的研究[J].饲料研究, 2023, 46(11):129-132.DENG K D, LU M L, PAN W J, et al.Study on rapid detection of adulterated rapeseed meal in soybean meal based on near infrared reflectance spectroscopy[J].Feed Research, 2023, 46(11):129-132.(in Chinese)
[51] 邓凯东, 潘文静, 陆牡龙, 等.利用近红外反射光谱检测豆粕中掺假棉籽粕的研究[J].中国饲料, 2022，16:78-82.DENG K D, PAN W J, LU M L, et al.Detection of cottonseed meal as an adulterant in soybean meal by near-infrared reflectance spectroscopy[J].China Feed, 2022, 16:78-82.(in Chinese)
[52] 孙丹丹, 谷旭, 李俊, 等.应用近红外光谱分析技术检测豆粕中掺杂三聚氰胺和尿素的研究[J].饲料工业, 2014, 35(19):39-44.SUN D D, GU X, LIU J, et al.The application of near-infrared reflectance spectroscopy (NIRS) to detect melamine and urea adulteration of soya bean meal[J].Feed Industry, 2014, 35(19):39-44.(in Chinese)
[53] 刘小莉, 贾刚, 王康宁, 等.应用傅利叶近红外光谱定性、定量检测鱼粉中掺杂三聚氰胺的研究[J].动物营养学报, 2010, 22(3):741-749.LIU X L, JIA G, WANG K N, et al.Qualitative and quantitative detection of melamine doping in fishmeal using Fourier transform near-infrared spectroscopy[J].Chinese Journal of Animal Nutrition, 2010, 22(3):741-749.(in Chinese)
[54] MABOOD F, BOQUÉ R, ALKINDI A Y, et al.Fast detection and quantification of pork meat in other meats by reflectance FT-NIR spectroscopy and multivariate analysis[J].Meat Science, 2020, 163:108084.
[55] SILVA L C R, FOLLI G S, SANTOS L P, et al.Quantification of beef, pork, and chicken in ground meat using a portable NIR spectrometer[J].Vibrational Spectroscopy, 2020, 111:103158.
[56] 王婧茹, 何鸿举, 朱亚东, 等.基于近红外高光谱技术快速检测豌豆蛋白掺假牛肉[J].食品工业科技, 2023, 44(14):312-317.WANG J R, HE H J, ZHU Y D, et al.Rapid detection of pea protein adulterated in beef based on near-infrared hyperspectral technology[J].Science and Technology of Food Industry, 2023, 44(14):312-317.(in Chinese)
[57] 朱亚东, 何鸿举, 王魏, 等.高光谱成像技术结合线性回归算法快速预测鸡肉掺假牛肉[J].食品工业科技, 2020, 41(4):184-189.ZHU Y D, HE H J, WANG W, et al.Quick detection of beef adulteration using hyperspectral imaging technology combined with linear regression algorithm[J].Science and Technology of Food Industry, 2020, 41(4):184-189.(in Chinese)
[58] 赵静远, 张俊芹, 孙梅, 等.基于高光谱成像的羊肉掺假可视化无损定量检测[J].食品与机械, 2022, 38(10):61-68.ZHANG J Y, ZHANG J Q, SUN M, et al.Visualization of lamb adulteration based on hyperspectral imaging for non-destructive quantitative detection[J].Food & Machinery, 2022, 38(10):61-68.(in Chinese)
[59] HE Y, ZENG W, ZHAO Y, et al.Rapid detection of adulteration of goat milk and goat infant formulas using near-infrared spectroscopy fingerprints[J].International Dairy Journal, 2023, 137:105536.
[60] PEREIRA E V D S, FERNANDES D D D S, DE ARAÚJO M C U, et al.Simultaneous determination of goat milk adulteration with cow milk and their fat and protein contents using NIR spectroscopy and PLS algorithms[J].LWT-Food Science and Technology, 2020, 127:109427
[61] SURKOVA A, BOGOMOLOV A, PADERINA A, et al.Optical multisensor system based on lanthanide (Ⅲ) complexes as near-infrared light sources for analysis of milk[J].Chemosensors, 2022, 10(7):288.
[62] LIMM W, KARUNATHILAKA S R, YAKES B J, et al.A portable mid-infrared spectrometer and a non-targeted chemometric approach for the rapid screening of economically motivated adulteration of milk powder[J].International Dairy Journal, 2018, 85:177-183.
[63] KIRSTEN C, LENZ V, SCHRÖDER H, et al.Hay pellets—The influence of particle size reduction on their physical-mechanical quality and energy demand during production[J].Fuel Processing Technology, 2016, 148:163-174.
[64] BULL C R.Compensation for particle size effects in near infrared reflectance[J].Analyst (London), 1991, 116(8):781-786.
[65] IKOYI A Y, YOUNGE B A.Influence of forage particle size and residual moisture on near infrared reflectance spectroscopy (NIRS) calibration accuracy for macro-mineral determination[J].Animal Feed Science and Technology, 2020, 270:114674.
[66] HAYES C J, GREENSILL C V, WALSH K B.Temporal and environmental sensitivity of a photodiode array spectrophometric system[J].Journal of Near Infrared Spectroscopy, 2014, 22(4):297-304.
[67] JIANG X, YAO J, ZHU M, et al.Achieving robustness to temperature change of a NIR model for apple soluble solids content[J].Food Quality and Safety, 2023, 7:fyad002.
[68] 赵晨, 任启峰, 王利华.饲料样品温度对概略养分近红外扫描结果的影响[J].饲料工业, 2023, 44(14):99-103.ZHAO C, REN Q F, WANG L H.Effects of ingredient temperature on measurement of near infrared reflectance spectroscopy[J].Feed Industry, 2023, 44(14):99-103.(in Chinese)