摘要
猪肉中的脂肪酸不仅关乎消费者的健康,也深刻影响肉类的感官品质、加工性能及市场竞争力。随着营养学研究的深入和食品工业的发展,快速检测猪肉脂肪酸含量已成为提升肉类品质、满足多元化消费需求的关键方向。旨在基于光谱技术,开发三元猪多部位肌肉组织中脂肪酸现场快速检测方法,基于便携式近红外光谱仪和拉曼光谱仪,在屠宰现场采集了10头三元猪的背最长肌、腰大肌、斜方肌等共计14个部位的光谱信息,同时,采用气相色谱方法,对28种脂肪酸及其脂肪酸族进行准确定量。采集的光谱首先进行多种预处理,然后采用竞争性自适应重加权采样算法筛选特征波段,建立偏最小二乘定量预测模型。结果表明,基于拉曼光谱数据的建模结果优于近红外光谱。因此,采用拉曼光谱建立包括总脂肪酸(FA)、饱和脂肪酸(SFA)、单不饱和脂肪酸(MUFA)、多不饱和脂肪酸(PUFA)、C16:0、C18:0、C18:1等28个模型,其中,25个指标的预测决定系数(R_(p)^(2))大于0.85,相对分析误差(RPD)大于2.50。研究表明,采用拉曼光谱建立多部位肌肉组织的脂肪酸含量预测模型具有可行性,该方法的建立为屠宰现场预测猪肉各脂肪酸含量提供了技术支持。
The fatty acids in pork are not only a concern for consumer health but also significantly impact the sensory quality,processing performance,and market competitiveness of the meat.With the progress in nutritional research and the development of the food industry,the rapid detection of fatty acid content in pork has become a crucial direction for enhancing meat quality and meeting the diverse demands of consumers.This study aimed to develop an on-site rapid detection method for fatty acids in multiple muscle tissues of three-way crossbred pigs,based on spectroscopic technologies.Portable near-infrared(NIR)and Raman spectrometers were used to collect spectral data from 14 muscle parts(e.g.,longissimus dorsi,psoas major,and trapezius)of 10 three-way crossbred pigs at slaughterhouses.Simultaneously,gas chromatography was employed for the accurate quantification of 28 fatty acids and fatty acid groups.After preprocessing the spectra with a second derivative and standard normal variate(SNV)transformation,competitive adaptive reweighted sampling(CARS)was applied to select feature wavelengths,followed by the establishment of partial least squares(PLS)quantitative prediction models.The results demonstrated that models based on Raman spectral data outperformed those using NIR spectroscopy.Consequently,Raman spectroscopy was utilized to develop 28 prediction models for key indicators,including total fatty acids(FA),saturated fatty acids(SFA),monounsaturated fatty acids(MUFA),polyunsaturated fatty acids(PUFA),C16:0,C18:0,and C18:1.Among these,25 models achieved a prediction coefficient of determination(R_(p)^(2))greater than 0.85 and a residual predictive deviation(RPD)exceeding 2.5.Research indicates that establishing a prediction model for fatty acid content in multi-site muscle tissues using Raman spectroscopy is feasible.The development of this method provides technical support for predicting various fatty acid contents in pork at slaughter sites.
作者
张圣杰
翟晨
邢维海
冯潇慧
杨迎康
杨悠悠
时超
杨洲
王文秀
ZHANG Sheng-jie;ZHAI Chen;XING Wei-hai;FENG Xiao-hui;YANG Ying-kang;YANG You-you;SHI Chao;YANG Zhou;WANG Wen-xiu(College of Food Science and Technology,Hebei Agricultural University,Baoding 071000,China;State Key Laboratory of Animal Biotech Breeding,Institute of Animal Science,Chinese Academy of Agricultural Sciences,Beijing 100193,China;Beijing Jitian Instrument Co.,Ltd.,Beijing 100016,China)
出处
《光谱学与光谱分析》
北大核心
2025年第11期3122-3129,共8页
Spectroscopy and Spectral Analysis
基金
中央级公益性科研院所基本科研业务费专项资金项目(2024-YWF-ZYSQ-12)
畜禽生物育种全国重点实验室项目(XQSWYZQZ-KFYX-2)
三期现代农业产业技术体系技术河北省创新团队建设项目(HBCT2024220206)资助。
关键词
拉曼光谱
近红外光谱
猪肉
脂肪酸
多部位
偏最小二乘法
Raman spectroscopy
Near infrared spectroscopy
Pork
Fatty acids
Multiple muscle areas
Partial least squares
