4.8 Article

Zirconia Hybrid Nanoshells for Nutrient and Toxin Detection

Journal

SMALL
Volume 16, Issue 46, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.202003902

Keywords

core‐ shell hybrids; laser desorption; ionization; mass spectrometry; small nutrients; toxins

Funding

  1. Ministry of Science and Technology of China [2017YFE0124400, 2017YFC0909000]
  2. National Natural Science Foundation of China (NSFC) [81971771, 81771983]
  3. Shanghai Science and Technology Commission [20ZR1440000]
  4. China Postdoctoral Science Foundation [2020M671144]
  5. Shanghai RisingStar Program [19QA1404800]
  6. Innovation Group Project of Shanghai Municipal Health Commission [2019CXJQ03]
  7. Clinical Research Plan of SHDC [16CR2011A]
  8. Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, Shanghai Sailing Program [20YF1434400]
  9. CCF-Tencent Open Fund [RAGR20190107]

Ask authors/readers for more resources

Monitoring milk quality is of fundamental importance in food industry, because of the nutritional value and resulting position of milk in daily diet. The detection of small nutrients and toxins in milk is challenging, considering high sample complexity and low analyte abundance. In addition, the slow analysis and tedious sample preparation hinder the large-scale application of conventional detection techniques. Herein, zirconia hybrid nanoshells are constructed to enhance the performance of laser desorption/ionization mass spectrometry (LDI MS). Zirconia nanoshells with the optimized structures and compositions are used as matrices in LDI MS and achieve direct analysis of small molecules from 5 nL of native milk in approximate to 1 min, without any purification or separation. Accurate quantitation of small nutrient is achieved by introducing isotope into the zirconia nanoshell-assisted LDI MS as the internal standard, offering good consistency to biochemical analysis (BCA) with R-2 = 0.94. Further, trace toxin is enriched and identified with limit-of-detection (LOD) down to 4 pm, outperforming the current analytical methods. This work sheds light on the personalized design of material-based tool for real-case bioanalysis and opens up new opportunities for the simple, fast, and cost-effective detection of various small molecules in a broad field.

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