Subtopic Deep Dive

Biogenic Amines Analysis Foods
Research Guide

What is Biogenic Amines Analysis Foods?

Biogenic amines analysis in foods involves chromatographic and spectroscopic methods for quantifying histamine, tyramine, putrescine, spermidine, and spermine in fermented, seafood, and protein-rich products to ensure food safety.

Key techniques include HPLC, UPLC, ion chromatography with pulsed amperometric detection, and nanoparticle-based colorimetric/fluorescence sensors (Önal, 2006; Dadáková et al., 2009). Reviews cover over 30 analytical methods with validation for regulatory compliance (Biji et al., 2016; Muñoz‐Esparza et al., 2019). Approximately 20 papers from 1998-2021 detail method sensitivities down to ng/g levels.

Curated Papers

Key Challenges

Why It Matters

Quantifying biogenic amines prevents scombroid poisoning from histamine in seafood, as validated by Au-NP dual sensors distinguishing fresh vs. spoiled products (Bi et al., 2020). Databases enable polyamine intake estimation linked to health outcomes like cell proliferation (Ali et al., 2011; Muñoz‐Esparza et al., 2019). Regulatory enforcement uses UPLC and IMS for trace detection in fermented foods, reducing foodborne illnesses (Dadáková et al., 2009; Alikord et al., 2021).

Key Research Challenges

Matrix Interference in Complex Foods

Food matrices like fermented products cause peak overlaps in HPLC/UPLC, reducing accuracy for low-level amines (Önal, 2006). Sample preparation via vortex-assisted microextraction addresses this but requires optimization (Donthuan et al., 2014). Validation studies show variability across seafood types (Biji et al., 2016).

Sensitivity for Trace-Level Detection

Regulatory thresholds demand ng/g detection, challenging conventional chromatography without preconcentration (Draisci et al., 1998). Nanoparticle probes offer colorimetric limits but lack multiplexing for multiple amines (Chopra et al., 2016). IMS provides rapid screening yet needs hyphenation for confirmation (Alikord et al., 2021).

Database Gaps for Polyamine Content

Incomplete food composition data hinders exposure assessment for spermidine/spermine (Ali et al., 2011). Linking to national databases improves portion-based estimates but excludes regional variations (Muñoz‐Esparza et al., 2019). Standardization across global foods remains unresolved.

Essential Papers

A review: Current analytical methods for the determination of biogenic amines in foods

Armağan Önal · 2006 · Food Chemistry · 691 citations

Biogenic amines in seafood: a review

K. B. Biji, C.N. Ravishankar, R. Venkateswarlu et al. · 2016 · Journal of Food Science and Technology · 320 citations

Polyamines in Food

Nelly Muñoz‐Esparza, M. Luz Latorre‐Moratalla, Oriol Comas-Basté et al. · 2019 · Frontiers in Nutrition · 243 citations

The polyamines spermine, spermidine, and putrescine are involved in various biological processes, notably in cell proliferation and differentiation, and also have antioxidant properties. Dietary po...

Determination of biogenic amines in foods using ultra-performance liquid chromatography (UPLC)

Eva Dadáková, Martin Křı́žek, Tamara Pelikánová · 2009 · Food Chemistry · 193 citations

Polyamines in foods: development of a food database

Mohamed Atiya Ali, Eric Poortvliet, Roger Strömberg et al. · 2011 · Food & Nutrition Research · 154 citations

The database aids other researchers in their quest for information regarding polyamine intake from foods. Connecting the polyamine contents in food with the Swedish Food Database allows for estimat...

Improved ion chromatography–integrated pulsed amperometric detection method for the evaluation of biogenic amines in food of vegetable or animal origin and in fermented foods

R. Draisci, Luigi Giannetti, Pierpaolo Boria et al. · 1998 · Journal of Chromatography A · 73 citations

Detection of Histamine Based on Gold Nanoparticles with Dual Sensor System of Colorimetric and Fluorescence

Jingran Bi, Chuan Tian, Gongliang Zhang et al. · 2020 · Foods · 62 citations

Gold nanoparticles (Au-NPs), with the dual sensor system of colorimetric and fluorescence responses, were developed for the determination of histamine as a spoilage monitor for distinguishing lifet...

Reading Guide

Foundational Papers

Start with Önal (2006) for comprehensive method review (691 citations), then Dadáková et al. (2009) for UPLC protocol (193 citations), and Draisci et al. (1998) for ion chromatography baseline.

Recent Advances

Study Bi et al. (2020) for Au-NP dual sensors, Chopra et al. (2016) for organic NP vapor detection, and Alikord et al. (2021) for IMS trends.

Core Methods

Core techniques: HPLC/UPLC with derivatization (Önal, 2006; Dadáková et al., 2009), pulsed amperometric detection (Draisci et al., 1998), nanoparticle colorimetric/fluorescence (Bi et al., 2020; Chopra et al., 2016), and IMS (Alikord et al., 2021).

How PapersFlow Helps You Research Biogenic Amines Analysis Foods

Discover & Search

Research Agent uses searchPapers and exaSearch to find Önal (2006) review with 691 citations, then citationGraph reveals clusters around UPLC methods like Dadáková et al. (2009), and findSimilarPapers uncovers seafood-specific papers such as Biji et al. (2016).

Analyze & Verify

Analysis Agent applies readPaperContent to extract validation data from Draisci et al. (1998), verifyResponse with CoVe checks amine quantification claims against Önal (2006), and runPythonAnalysis performs statistical verification of LOD/LOQ from multiple papers using pandas for meta-analysis, graded by GRADE for evidence strength.

Synthesize & Write

Synthesis Agent detects gaps in polyamine databases via gap detection on Ali et al. (2011), flags contradictions in IMS sensitivity from Alikord et al. (2021), while Writing Agent uses latexEditText, latexSyncCitations for method comparisons, and latexCompile to generate compliant manuscripts with exportMermaid for chromatography workflow diagrams.

Use Cases

"Compare LOD of HPLC vs nanoparticle methods for histamine in seafood"

Research Agent → searchPapers + findSimilarPapers → Analysis Agent → readPaperContent (Bi et al., 2020; Dadáková et al., 2009) → runPythonAnalysis (pandas LOD comparison plot) → researcher gets CSV of sensitivities and matplotlib graph.

"Draft LaTeX review section on UPLC for biogenic amines validation"

Synthesis Agent → gap detection on Önal (2006) → Writing Agent → latexEditText + latexSyncCitations (10 papers) + latexCompile → researcher gets compiled PDF with cited methods table.

"Find open-source code for Au-NP histamine sensor simulation"

Research Agent → paperExtractUrls (Bi et al., 2020) → Code Discovery → paperFindGithubRepo + githubRepoInspect → researcher gets repo links, code snippets, and runPythonAnalysis verification.

Automated Workflows

Deep Research workflow scans 50+ papers via searchPapers on 'biogenic amines HPLC fermented foods', structures report with GRADE-graded methods from Önal (2006) to Alikord (2021). DeepScan applies 7-step CoVe chain to verify nanoparticle sensor claims in Bi et al. (2020) against reviews. Theorizer generates hypotheses on IMS-polyamine synergies from Alikord et al. (2021) and Muñoz‐Esparza et al. (2019).

Try Doxa for Biogenic Amines Analysis Foods Research

Frequently Asked Questions

What is biogenic amines analysis in foods?

It quantifies histamine, tyramine, putrescine, spermidine, and spermine using HPLC, UPLC, and sensors to monitor spoilage and toxicity in foods (Önal, 2006).

What are the main analytical methods?

Primary methods include UPLC (Dadáková et al., 2009), ion chromatography (Draisci et al., 1998), and Au-NP colorimetric/fluorescence (Bi et al., 2020), with microextraction for sample prep (Donthuan et al., 2014).

What are key papers?

Önal (2006, 691 citations) reviews methods; Biji et al. (2016, 320 citations) focuses on seafood; Ali et al. (2011) builds polyamine database.

What open problems exist?

Challenges include matrix effects in complex foods, trace sensitivity below ng/g, and incomplete polyamine databases for global intake models (Biji et al., 2016; Ali et al., 2011).