How can you identify milk from FTIR?
This page summarizes the recurring FTIR evidence reported for milk, including the most frequent peaks, supporting functional groups, and literature-backed interpretation patterns. It is a structured evidence page, not a claim of automatic single-spectrum certainty.
Backed by 33 cited sources
Quick answer
milk is usually reported with a recurring pattern of peaks and functional-group evidence. The most useful approach is to cross-check at least two characteristic peaks before treating it as a match, then verify whether the full spectrum still fits the same material family.
Peak interpretation
Possible materials / groups
| Gruppo funzionale | Evidenza |
|---|---|
| Alkyl C-H | 11 |
| Amide | 8 |
| Protein | 6 |
| Methacrylate | 4 |
| Acetate | 4 |
| Carboxyl (COOH) | 4 |
| Hydroxyl (O-H) | 4 |
| Methoxy (OCH3) | 3 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of milk, repeated peak positions, and repeated functional-group associations. A strong material hypothesis should still be supported by multiple peaks that agree with each other, not by one headline band alone.
Real-world usage
This page is designed for polymer identification, incoming-material QC, unknown plastic analysis, recycled-content review, and literature-backed interpretation of reference spectra.
Common mistakes
- Calling a material match too early because one famous peak is present.
- Ignoring sample prep, fillers, oxidation, water, or additives that can change the apparent pattern.
- Using literature evidence without checking whether your own sampling mode and spectrum quality are comparable.
Verification advice
Use DSC, GC-MS, or TGA to validate the material hypothesis when the peak pattern is ambiguous or mixed.
Literature behind this page
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affidabilità 0,9
milk
A Study of the Interactions of Heavy Metals in Dairy Matrices Using Fourier Transform Infrared Spectroscopy, Chemometric, and In Silico Analysis DOI: 10.3390/foods12091919 -
affidabilità 0,9
milk
Advances in Atypical FT-IR Milk Screening: Combining Untargeted Spectra Screening and Cluster Algorithms DOI: 10.3390/foods10051111 -
affidabilità 0,9
milk
Application of ATR-FTIR Incorporated with Multivariate Data Analysis for Discrimination and Quantification of Urea as an Adulterant in UHT Milk DOI: 10.3390/foods12152855 -
affidabilità 0,8
milk
Arifah 等 - 2022 - The Application of FTIR Spectroscopy and Chemometr DOI: 10.1155/2022/7643959 -
affidabilità 0,8
milk
Bahadi 等 - 2021 - Fourier Transform Infrared Spectroscopy as a Tool DOI: 10.3390/foods -
affidabilità 0,8
milk
Identification of milk quality and adulteration by surface-enhanced infrared absorption spectroscopy coupled to artificial neural networks using citrate-capped silver nanoislands DOI: 10.1007/s00604-022-05393-4 -
affidabilità 0,8
milk
van Gastelen 等 - 2018 - Predicting enteric methane emission of dairy cows DOI: 10.3168/jds.2017-13052 -
affidabilità 0,7
milk
Association of mid-infrared-predicted milk and blood constituents with early-lactation disease, removal, and production outcomes in Holstein cows DOI: 10.3168/jds.2019-16926 -
affidabilità 0,7
milk
Integrating on-farm and genomic information improves the predictive ability of milk infrared prediction of blood indicators of metabolic disorders in dairy cows DOI: 10.1186/s12711-023-00795-1 -
affidabilità 0,6
milk
Predicting milk protein fractions using infrared spectroscopy and a gradient boosting machine for breeding purposes in Holstein cattle DOI: 10.3168/jds.2022-22119
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