| 吴云芳,王宏慧,徐建平,郝苗苗,孙春玲,孙永玲,孟 冉,李春冬,郭 梁.乳成分分析仪快速检测生乳营养成分[J].食品安全质量检测学报,2025,16(14):204-212 |
| 乳成分分析仪快速检测生乳营养成分 |
| Rapid detection of raw milk nutritional components by milk composition analyzer |
| 投稿时间:2025-03-06 修订日期:2025-06-23 |
| DOI: |
| 中文关键词: 生乳 快速检测 F检验 T检验 |
| 英文关键词:raw milk rapid detection F test T test Fourier infrared spectroscopy technology |
| 基金项目:锡林郭勒盟“揭榜挂帅”项目(XMGD-202302)、内蒙古自治区自然科学基金(2024FX26)、2024年锡林郭勒盟博士教学科研项目、2024年锡林郭勒盟科技计划项目(202408) |
| 作者 | 单位 |
| 吴云芳 | 1. 锡林郭勒职业学院草原生态与畜牧兽医系, 2. 锡林郭勒生物工程研究院, 3. 锡林郭勒盟食品科学与检测实验中心(锡林郭勒盟农畜产品检验检测中心), 4. 内蒙古自治区肉乳营养与安全工程研究中心 |
| 王宏慧 | 1. 锡林郭勒职业学院草原生态与畜牧兽医系, 2. 锡林郭勒生物工程研究院, 3. 锡林郭勒盟食品科学与检测实验中心(锡林郭勒盟农畜产品检验检测中心), 4. 内蒙古自治区肉乳营养与安全工程研究中心 |
| 徐建平 | 3. 锡林郭勒盟食品科学与检测实验中心(锡林郭勒盟农畜产品检验检测中心) |
| 郝苗苗 | 1. 锡林郭勒职业学院草原生态与畜牧兽医系, 2. 锡林郭勒生物工程研究院, 3. 锡林郭勒盟食品科学与检测实验中心(锡林郭勒盟农畜产品检验检测中心), 4. 内蒙古自治区肉乳营养与安全工程研究中心 |
| 孙春玲 | 1. 锡林郭勒职业学院草原生态与畜牧兽医系, 2. 锡林郭勒生物工程研究院, 3. 锡林郭勒盟食品科学与检测实验中心(锡林郭勒盟农畜产品检验检测中心), 4. 内蒙古自治区肉乳营养与安全工程研究中心 |
| 孙永玲 | 1. 锡林郭勒职业学院草原生态与畜牧兽医系, 2. 锡林郭勒生物工程研究院, 3. 锡林郭勒盟食品科学与检测实验中心(锡林郭勒盟农畜产品检验检测中心), 4. 内蒙古自治区肉乳营养与安全工程研究中心 |
| 孟 冉 | 1. 锡林郭勒职业学院草原生态与畜牧兽医系, 2. 锡林郭勒生物工程研究院, 3. 锡林郭勒盟食品科学与检测实验中心(锡林郭勒盟农畜产品检验检测中心), 4. 内蒙古自治区肉乳营养与安全工程研究中心 |
| 李春冬 | 1. 锡林郭勒职业学院草原生态与畜牧兽医系, 2. 锡林郭勒生物工程研究院, 3. 锡林郭勒盟食品科学与检测实验中心(锡林郭勒盟农畜产品检验检测中心), 4. 内蒙古自治区肉乳营养与安全工程研究中心 |
| 郭 梁 | 1. 锡林郭勒职业学院草原生态与畜牧兽医系, 2. 锡林郭勒生物工程研究院, 3. 锡林郭勒盟食品科学与检测实验中心(锡林郭勒盟农畜产品检验检测中心), 4. 内蒙古自治区肉乳营养与安全工程研究中心 |
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| Author | Institution |
| WU Yun-Fang | 1. Department of Grassland Ecology and Animal Husbandry & Veterinary Medicine, Xilingol Vocational College, 2. Xilingol Institute of Bioengineering, 3. Xilingol Food Science and Testing Experimental Center (Xilingol Agricultural and Animal Products Testing Center), 4. Inner Mongolia Autonomous Region Meat and Milk Nutrition and Safety Engineering Research Center |
| WANG Hong-Hui | 1. Department of Grassland Ecology and Animal Husbandry & Veterinary Medicine, Xilingol Vocational College, 2. Xilingol Institute of Bioengineering, 3. Xilingol Food Science and Testing Experimental Center (Xilingol Agricultural and Animal Products Testing Center), 4. Inner Mongolia Autonomous Region Meat and Milk Nutrition and Safety Engineering Research Center |
| XU Jian-Ping | 3. Xilingol Food Science and Testing Experimental Center (Xilingol Agricultural and Animal Products Testing Center) |
| HAO Miao-Miao | 1. Department of Grassland Ecology and Animal Husbandry & Veterinary Medicine, Xilingol Vocational College, 2. Xilingol Institute of Bioengineering, 3. Xilingol Food Science and Testing Experimental Center (Xilingol Agricultural and Animal Products Testing Center), 4. Inner Mongolia Autonomous Region Meat and Milk Nutrition and Safety Engineering Research Center |
| SUN Chun-Ling | 1. Department of Grassland Ecology and Animal Husbandry & Veterinary Medicine, Xilingol Vocational College, 2. Xilingol Institute of Bioengineering, 3. Xilingol Food Science and Testing Experimental Center (Xilingol Agricultural and Animal Products Testing Center), 4. Inner Mongolia Autonomous Region Meat and Milk Nutrition and Safety Engineering Research Center |
| SUN Yong-Ling | 1. Department of Grassland Ecology and Animal Husbandry & Veterinary Medicine, Xilingol Vocational College, 2. Xilingol Institute of Bioengineering, 3. Xilingol Food Science and Testing Experimental Center (Xilingol Agricultural and Animal Products Testing Center), 4. Inner Mongolia Autonomous Region Meat and Milk Nutrition and Safety Engineering Research Center |
| MENG Ran | 1. Department of Grassland Ecology and Animal Husbandry & Veterinary Medicine, Xilingol Vocational College, 2. Xilingol Institute of Bioengineering, 3. Xilingol Food Science and Testing Experimental Center (Xilingol Agricultural and Animal Products Testing Center), 4. Inner Mongolia Autonomous Region Meat and Milk Nutrition and Safety Engineering Research Center |
| LI Chun-Dong | 1. Department of Grassland Ecology and Animal Husbandry & Veterinary Medicine, Xilingol Vocational College, 2. Xilingol Institute of Bioengineering, 3. Xilingol Food Science and Testing Experimental Center (Xilingol Agricultural and Animal Products Testing Center), 4. Inner Mongolia Autonomous Region Meat and Milk Nutrition and Safety Engineering Research Center |
| GUO Liang | 1. Department of Grassland Ecology and Animal Husbandry & Veterinary Medicine, Xilingol Vocational College, 2. Xilingol Institute of Bioengineering, 3. Xilingol Food Science and Testing Experimental Center (Xilingol Agricultural and Animal Products Testing Center), 4. Inner Mongolia Autonomous Region Meat and Milk Nutrition and Safety Engineering Research Center |
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| 中文摘要: |
| 目的 建立乳成分分析仪快速检测生乳营养成分的方法。方法 本研究以市售生乳为检测样品, 基于傅立叶红外光谱技术(Fourier transform infrared spectroscopy, FTIR)构建生乳中水分、蛋白质、脂肪、乳糖、灰分、非脂乳固体、总干物质、相对密度、冰点9个参数的快速检测方法, 通过与国家标准法结果比对评价快速检测方法的精确度和准确性。结果 乳成分分析仪测定结果为水分在86.00%~89.09%、蛋白质在2.52%~4.51%、脂肪在2.65%~5.39%、乳糖在3.81%~5.40%、灰分在0.56%~0.80%、非脂乳固体在6.94%~9.81%。通过对脂肪、乳糖、非脂乳固体等9个参数进行F检验及T检验, F值最大为9.00, 小于9.55, 证明9个参数精确性无显著性差异。T值最大为20.82, 小于22.327, 证明9个参数准确度不存在显著性差异。乳成分分析仪法及国家标准法均能对牛奶营养指标进行准确测定。显示所建立的快速检测方法的精确度和准确性与国家标准法无显著差异。结论 本研究所构建生乳营养成分快速检测方法可用于生乳营养成分的高通量、低成本的快速筛查。高精度场景、监管与准入时以国家标准法为基准, 日常监测以基于乳成分分析仪的快速检测结果为主。 |
| 英文摘要: |
| Objective To establish a method for rapid detection of nutritional components in raw milk by milk composition analyzer. Methods This study used commercial raw milk as the test sample, and based on Fourier transform infrared spectroscopy (FTIR), it constructed a rapid detection method for 9 parameters such moisture, protein, fat, lactose, ash, non-fat milk solids, total dry matter, relative density and freezing point in raw milk. The precision and accuracy of the rapid detection method were evaluated by comparing it with the national standard detection results. Results The determination results of the milk composition analyzer were as follows: Moisture 86.00%–89.09%, protein 2.52%–4.51%, fat 2.65%–5.39%, lactose 3.81%–5.40%, ash 0.56%–0.80%, and non-fat milk solids 6.94%–9.81%. F-test and T-test were performed on 9 parameters including fat, lactose and non-fat milk solids. The maximum F-value was 9.00, less than 9.55, indicating no significant difference in precision for the 9 parameters. The maximum T-value was 20.82, less than 22.327, confirming no significant difference in accuracy for the 9 parameters. Both the milk composition analyzer method and the national standard method could accurately determine milk nutritional indicators. The results showed that the precision and accuracy of the established rapid detection method had no significant differences from those of the national standard method. Conclusion The rapid detection method for nutrient components in raw milk constructed in this study can be used for high-throughput and low-cost rapid screening of nutrient components in raw milk. National standard methods should be used as the benchmark for high-precision scenarios, supervision and admission, while daily monitoring should primarily rely on rapid detection results from milk composition analyzers. |
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