환경 노출체학

기술 사양

TECHNICAL SPECIFICATIONS

Item	Details
Platform	AB Sciex QTRAP 6500+ / 7500+ dual platforms
Quantification	Absolute quantification against a 639-compound standards library; LOD down to 0.002 ng/mL
QC	Total ion chromatograms (TIC); RSD distribution in QCs and QC-sample correlations (generally > 0.99); internal standards and calibration curves applied throughout
Custom Analyses	Multivariate association of exposure levels with region / age / BMI / clinical indicators; intergroup comparison and population stratification
Mixture Joint Effects	WQS (weighted quantile sum regression) · BKMR (Bayesian kernel machine regression) · q-gcomp (quantile g-computation)

분석 프로세스

ANALYSIS WORKFLOW

데이터 전처리

큐레이션 · 비교 계획

품질관리

TIC · RSD · QC 상관성

검출 통계

분류 통계 · 클러스터링

다변량 통계

PCA / OPLS-DA 모델링

차등 선별

볼케이노 · Z-score

분포 분석

클러스터 히트맵 · 바이올린 플롯

맞춤 연관 분석

연령 / BMI / 임상 지표

혼합물 결합 효과

WQS / BKMR 회귀 모델

제공 결과물:보고서와 함께 전체 QC 평가와 통계 분석을 제공하며, 마스터 정량 표, 그룹 비교 계획, 차이 노출 목록, 연관 및 결합 효과 결과 표, 모든 원본 그림 파일이 포함됩니다.

표적 목록 — 6개 분류, 639종 화합물

TARGET PANEL 2026

Category	Coverage	Representative Compounds
Pesticides	353	Chlorpyrifos, imidacloprid, atrazine, fipronil, spinosad A, etc.; 71 subcategories including 50 organophosphate insecticides, 28 triazole fungicides and 23 triazine herbicides
Human Pharmaceuticals	110	Ibuprofen, sildenafil, nifedipine, carbamazepine, oseltamivir, etc.; 21 subcategories including 14 β2-agonists, 12 hypoglycemics and 12 antihistamines
Industrial / Environmental Pollutants	97	PFOA, PFOS, bisphenol A, rhodamine B, etc.; 7 subcategories including 23 phthalates, 22 perfluorinated compounds and 21 phenolic pollutants
Human / Veterinary Drugs	35	Azithromycin, sulfamethoxazole, progesterone, albendazole, ractopamine, etc.; 9 subcategories including 6 sex hormones, 6 NSAIDs and 6 antibiotics
Veterinary Drugs	24	Fenbendazole, florfenicol, flumequine, nicarbazin, chloramphenicol, etc.; 10 subcategories including 7 anthelmintics, 4 quinolones and 3 anticoccidials
Lifestyle Exposants	20	Nicotine, DEET, sucralose, triclocarban, 2-ethylhexyl salicylate, etc.; 4 subcategories including 13 cosmetics and 5 food additives

생물정보 분석

BIOINFORMATIC MODULES

Module	Core Methods & Key Outputs
Data Preprocessing	Project data curation and exposure quantification matrix construction; group-comparison plan (single-group baseline / two-group comparison / multi-group stratification) — master quantification table
Quality Control	Total ion chromatograms (TIC); RSD distribution and QC-sample correlations (generally > 0.99); internal standards and calibration curves throughout — TIC plots, RSD distribution plots
Detection Statistics	Detection counts and rates by compound category; exposure clustering and concentration distribution — detection statistics tables, cluster plots, violin plots
Multivariate Stats	PCA for group separation and outlier inspection; OPLS-DA discriminant modeling with 200 permutation tests — score plots, permutation-test plots
Differential Exposure Screening	Fold change combined with p/q values to screen up- and down-regulated exposures — volcano plots, Z-score plots, differential exposure lists
Differential Exposure Analysis	Hierarchical clustering, boxplots, lollipop charts and Spearman correlation analysis — cluster heatmaps, boxplots, lollipop charts
Custom Association Analysis	Multivariate association of exposure with region / age / BMI / clinical indicators; population stratification — stratified violin plots, forest plots
Mixture Joint Effects	WQS regression; BKMR; quantile g-computation — WQS weight plots, BKMR figure sets

결과 예시

SELECTED FIGURES FROM ACTUAL REPORTS

총이온크로마토그램 (TIC)

단일 시료의 총이온크로마토그램으로 크로마토그래피 분리능과 기기 응답을 평가합니다.

QC 시료 RSD 분포

QC 내 표적물질의 RSD 분포와 누적 백분율입니다. 79.5%의 화합물이 RSD < 15%를 보여 재현성이 양호함을 나타냅니다.

QC 시료 상관성 페어 플롯

QC 시료 간 피어슨 상관계수가 일반적으로 0.99를 초과하여 시스템 안정성과 데이터 신뢰성을 보여줍니다.

차이 노출 볼케이노 플롯

log2(FC)와 −log10(P)의 이중 임계값으로 상향·하향 조절 노출을 표시하며, 버블 크기는 VIP 값을 나타냅니다.

Intergroup Hierarchical Clustering Heatmap

그룹 간 계층적 클러스터링 히트맵

상위 차이 노출을 시료 기준으로 군집화하여 그룹 간 노출 프로파일 차이를 시각화합니다.

그룹 간 Z-score 플롯

시료별 차이 노출의 Z-score 분포로 그룹 간 노출 변화의 방향과 크기를 비교합니다.

Exposure–Disease Association Forest Plot

노출–질환 연관 포레스트 플롯

상위 30개 노출–질환 연관의 오즈비(log 스케일)와 유의성을 보여주며, 연령·지역·BMI를 보정했습니다.

WQS 결합 노출 가중치 분석

가중 분위수 합(WQS) 회귀로 각 노출이 혼합물 효과와 전체 위험에 기여하는 가중치를 추정합니다.

적용 분야

APPLICATIONS

환경 오염물질 노출 평가직업 건강 모니터링식품 안전 위해 화합물 스크리닝노출–질환 연관 분석환경 역학 코호트

FAQ

How long does a Environmental Exposomics project take?

Mature targeted panels typically take 1-3 weeks; untargeted projects take 2-4 weeks (counted from sample receipt and QC approval). The exact timeline is confirmed in writing before project start, and progress is trackable on the OmicsHub cloud platform.

What if my sample amount is below the recommendation?

Please do not dilute your samples. Low-input samples can often be accommodated by adjusting the preparation workflow — tell us the actual amount and our technical team will assess feasibility and note adjustments in the study plan.

Can I add targets to an existing panel?

Yes. Mature panels support on-demand additions; novel analytes outside the list can be implemented through custom method development (requires standards and extra validation time) — see our Custom Targeted Metabolomics service.

What samples do you need for Environmental Exposomics?

Serum/plasma ≥100 μL (fasting, no haemolysis), tissue ≥50 mg (snap-frozen), cells ≥1×10⁶ (medium washed off), urine ≥200 μL. Keep fasting time consistent, aliquot into single-use volumes and avoid freeze–thaw. Full guidance: Technical Resources → Sample Guide.