Owing to their increasing application and potential toxicity, engineered nanoparticles (ENPs) have been considered as a potential agricultural contaminant that may pose unknown risk to human beings. However, many techniques require invasive and complicated sample preparation procedures to detect and characterize engineered nanomaterials in complex matrices. In the first part of this thesis, we present a non-destructive and label-free approach based on surface enhanced Raman spectroscopic (SERS) mapping technique to qualitatively detect and characterize gold nanoparticles (AuNPs), on and in spinach leaves in situ. We were able to detect the clearly enhanced signals from AuNPs at 15 to 125 nm on and in spinach leaves. Peak characterizations revealed the aggregation status of Au NPs and their interactions with plant biomolecules, such as chlorophylls and carotenoids. This developed approach will open a new analytical platform for various researches on studying ENPs' adhesion and accumulation.
The second part focuses on investigating the interaction between AgNPs and plant leaves using surface enhanced Raman spectroscopy. AgNPs of different surface coating (citrate, CIT and polyvinylpyrrolidone, PVP) and size (40 and 100 nm), were deposited onto spinach leaves. SERS signals produced from all kinds of AgNPs exhibited a unique C-S stretching peak at 650-680 cm-1. In vitro study indicates this peak may originate from the interaction between AgNPs and cysteine-like compounds based on the peak pattern recognition. The interaction between AgNPs and the cysteine-like compounds happened as soon as 0.5 h after AgNPs exposure. The in situ replacement of the CIT with the cysteine-like compounds on the AgNP surfaces was faster compared to that of the PVP. Based on the mapping of the highest C-S peak, we observed the CIT-AgNPs penetrated faster in spinach leaves than the PVP-AgNPs, although the penetration profile for both of them is similar after 48 h (P ˂ 0.05). The 40 nm CIT-AgNPs was able to penetrate deeper (to the depth of 183 ± 38 µm) than the 100 nm CIT-AgNPs (to the depth of 90 ± 51 µm) after 48 h. The results obtained here demonstrate the size of AgNPs is the main factor that affects the penetration depth, and the surface coating mainly affects the initial speed of interaction and penetration. This study helps us to better understand the distribution and biotransformation of AgNPs in plants.
In the third part, the removal efficiency of postharvest washing on AgNPs that had accumulated on fresh produce was evaluated. Ten µL commercially available 40 nm citrate coated AgNPs (0.4 mg L-1) were dropped to a (1×1 cm2) spot on spinach leaves, followed by washing with deionized water (DI water), Tsunami® 100 (80 mg L-1) or Clorox® bleach (200 mg L-1). Then, AgNPs removal efficiency of the three treatments was evaluated by surface enhanced Raman spectroscopy (SERS), scanning electron microscopy (SEM)-energy dispersive spectrometer (EDS), and inductively coupled plasma mass spectrometry (ICP-MS). ICP-MS results showed that deionized water removed statistically insignificant amounts of total Ag, whereas Tsunami® 100 and Clorox® bleach yielded 21% and 10% decreases in total Ag, respectively (P < 0.05). The increased removal efficiency resulted from Ag NPs dissolution and Ag+ release upon contact with the oxidizing agents in Tsunami® 100 (peroxyacetic acid, hydrogen peroxide) and Clorox® bleach (sodium hypochlorite). According to the SERS results, the deionized water and Tsunami® 100 treatments removed nonsignificant amounts of AgNPs. Clorox® bleach decreased Ag NPs by more than 90% (P < 0.05), however, SEM-EDS images revealed the formation of large silver chloride (AgCl) crystals (162 ± 51 nm) on the leaf, which explained low total Ag removal from ICP-MS. This study indicates current factory washing methods for fresh produce may not be effective in reducing AgNPs (by water and Tsunami® 100) and total Ag (by all three means). This highlights the necessity to develop an efficient washing method for NP removal from food surfaces in the future.
| Identifer | oai:union.ndltd.org:UMASS/oai:scholarworks.umass.edu:masters_theses_2-1481 |
| Date | 07 November 2016 |
| Creators | Zhang, Zhiyun |
| Publisher | ScholarWorks@UMass Amherst |
| Source Sets | University of Massachusetts, Amherst |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Masters Theses |
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