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气相色谱-质谱联用和傅里叶变换红外光谱联用化学计量学用于基于绿色分析化学的不同类型牛奶代谢组分析

Gas chromatography-mass spectrometry and Fourier-transform infrared spectroscopy coupled to chemometrics for metabolome analysis of different milk types in the light of green analytical chemistry.

作者信息

Farag Mohamed A, Eid Sherif M, El-Shamy Sherine

机构信息

Pharmacognosy, Cairo University, Cairo, Egypt.

Analytical Chemistry/ Pharmacy, October 6 University, Giza, Egypt.

出版信息

PeerJ. 2025 Sep 17;13:e19921. doi: 10.7717/peerj.19921. eCollection 2025.

Abstract

BACKGROUND

Milk is an important dietary source for a healthy and balanced diet, owing to its rich content of proteins, fats, sugars, vitamins, and minerals. Due to the importance of milk macronutrient content for consumers' preferences, a multiplex metabolomics-based approach using Fourier-transform infrared spectroscopy (FTIR) and gas chromatography-mass spectrometry (GC-MS) fingerprinting platforms was employed for the characterization of metabolites in different types of buffalo (BM), cow (CM), goat (GM), and camel (LM) milk.

METHODS

GC-MS and FTIR coupled to chemometric tools (multivariate data analysis) were employed for the discriminative qualitative and quantitative analysis of BM, LM, CM, and GM milk, targeting their primary metabolites. A side-by-side comparative assessment of the performance of both the FTIR and GC-MS methods was implemented in the light of green analytical chemistry principle (GAC) and white analytical chemistry principles (WAC) using the 12 green analytical chemistry principles (12 GAC), analytical greenness metric approach (AGREE), national environmental methods index (NEMI), eco-scale assessment (ESA) and complementary green analytical procedure index (ComplexGAPI), and the red green blue (RGB) 12 algorithms.

RESULTS

The milk types were qualitatively identified by visual inspection of their characteristic FTIR spectra as a fingerprint for each milk type. Quantitatively, GC-MS revealed the presence of 87 peaks belonging to alcohols, amino acids/nitrogenous compounds, fatty acids, organic acids, sterols, sugars, and vitamins. Sugars, mainly lactose, appeared as the major component in all milk types. The highest lactose content was detected in CM 1.07-fold higher than LM making LM a potential alternative for lactose intolerance. Both BM and CM were found to contain the highest organic acid content 5.2-fold higher than that in LM, accounting for their acidity (sourness), while the lowest level was found in LM. On the other hand, LM had the highest vitamins content compared to other milks. Lastly, FTIR outperformed GC-MS in terms of greenness and whiteness, suggesting its utilization as an alternative to traditional chromatographic techniques such as GC-MS.

摘要

背景

牛奶富含蛋白质、脂肪、糖、维生素和矿物质,是健康均衡饮食的重要膳食来源。鉴于牛奶中大量营养素的含量对消费者偏好的重要性,采用了一种基于多重代谢组学的方法,利用傅里叶变换红外光谱(FTIR)和气相色谱 - 质谱联用(GC-MS)指纹图谱平台来表征不同类型的水牛(BM)奶、奶牛(CM)奶、山羊(GM)奶和骆驼(LM)奶中的代谢物。

方法

将GC-MS和FTIR与化学计量工具(多变量数据分析)相结合,用于对BM、LM、CM和GM奶中的主要代谢物进行鉴别定性和定量分析。根据绿色分析化学原理(GAC)和白色分析化学原理(WAC),采用12条绿色分析化学原理(12 GAC)、分析绿色度指标方法(AGREE)、国家环境方法指数(NEMI)、生态尺度评估(ESA)和互补绿色分析程序指数(ComplexGAPI)以及红绿色蓝(RGB)12算法,对FTIR和GC-MS方法的性能进行了并排比较评估。

结果

通过目视检查每种牛奶类型的特征FTIR光谱,将牛奶类型作为指纹进行定性鉴定。在定量方面,GC-MS显示存在87个属于醇类、氨基酸/含氮化合物、脂肪酸、有机酸、甾醇、糖和维生素的峰。糖,主要是乳糖,是所有牛奶类型中的主要成分。在CM中检测到最高的乳糖含量,比LM高1.07倍,这使得LM成为乳糖不耐受者的潜在替代品。发现BM和CM中的有机酸含量最高,比LM高5.2倍,这解释了它们的酸度(酸味),而LM中的含量最低。另一方面,与其他牛奶相比,LM中的维生素含量最高。最后,FTIR在绿色度和白度方面优于GC-MS,表明它可作为GC-MS等传统色谱技术的替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa98/12449862/8a9d390e3db7/peerj-13-19921-g001.jpg

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